diff --git a/.gitignore b/.gitignore index f402649c..fa30f9ab 100644 --- a/.gitignore +++ b/.gitignore @@ -72,3 +72,6 @@ docs/notebooks # MYPY static type checker cache .mypy_cache + +# Visual Studio Code stuff +.vscode \ No newline at end of file diff --git a/.gitmodules b/.gitmodules new file mode 100644 index 00000000..738b0f6e --- /dev/null +++ b/.gitmodules @@ -0,0 +1,3 @@ +[submodule "config"] + path = config + url = https://github.com/GeoscienceAustralia/dea-config.git diff --git a/check-code.sh b/check-code.sh index 9501dc75..ed6fb2de 100755 --- a/check-code.sh +++ b/check-code.sh @@ -22,9 +22,8 @@ pycodestyle --ignore=E122,E711,E701,E501 --max-line-length 120 \ integration_tests \ scripts/**/*.py -shellcheck ./**/*.sh -yamllint ./**/*.yaml +shellcheck ./digitalearthau/**/*.sh ./scripts/**/*.sh ./modules/**/*.sh +yamllint -d relaxed ./**/*.yaml # Users can specify extra folders (ie. integration_tests) as arguments. py.test -r sx --cov digitalearthau --durations=5 digitalearthau scripts/**/*.py "$@" - diff --git a/config b/config new file mode 160000 index 00000000..db69bb9b --- /dev/null +++ b/config @@ -0,0 +1 @@ +Subproject commit db69bb9ba53bfffe90272e82549bd323f195c18a diff --git a/digitalearthau/__init__.py b/digitalearthau/__init__.py index 595be790..937d4011 100644 --- a/digitalearthau/__init__.py +++ b/digitalearthau/__init__.py @@ -19,5 +19,7 @@ def _get_module_name(): BASE_DIR = Path(__file__).absolute().parent SCRIPT_DIR = BASE_DIR -CONFIG_DIR = BASE_DIR / 'config' +CONFIG_DIR = BASE_DIR.parent / 'config' / 'config' / 'collection-2-nci' INGEST_CONFIG_DIR = CONFIG_DIR / 'ingestion' +PRODUCTS_CONFIG_DIR = CONFIG_DIR / 'products' +EO3_CONFIG_DIR = CONFIG_DIR / 'config' / 'config' / 'collection-3-nci' diff --git a/digitalearthau/config/eo3/__init__.py b/digitalearthau/config/eo3/__init__.py deleted file mode 100644 index e69de29b..00000000 diff --git a/digitalearthau/config/eo3/eo3.odc-type.yaml b/digitalearthau/config/eo3/eo3.odc-type.yaml deleted file mode 100644 index 4ea0e7ee..00000000 --- a/digitalearthau/config/eo3/eo3.odc-type.yaml +++ /dev/null @@ -1,86 +0,0 @@ ---- -name: eo3 -description: Default EO3 with no custom fields -dataset: - id: [id] # No longer configurable in newer ODCs. - sources: [lineage, source_datasets] # No longer configurable in newer ODCs. - - grid_spatial: [grid_spatial, projection] - measurements: [measurements] - creation_dt: [properties, 'odc:processing_datetime'] - label: [label] - format: [properties, 'odc:file_format'] - - search_fields: - platform: - description: Platform code - offset: [properties, 'eo:platform'] - indexed: false - - instrument: - description: Instrument name - offset: [properties, 'eo:instrument'] - indexed: false - - product_family: - description: Product family code - offset: [properties, 'odc:product_family'] - indexed: false - - region_code: - description: > - Spatial reference code from the provider. - For Landsat region_code is a scene path row: - '{:03d}{:03d}.format(path,row)'. - For Sentinel it is MGRS code. - In general it is a unique string identifier that datasets - covering roughly the same spatial region share. - - offset: [properties, 'odc:region_code'] - - dataset_maturity: - description: One of - final|interim|nrt (near real time) - offset: [properties, 'dea:dataset_maturity'] - indexed: false - - time: - description: Acquisition time range - type: datetime-range - min_offset: - - [properties, 'dtr:start_datetime'] - - [properties, datetime] - max_offset: - - [properties, 'dtr:end_datetime'] - - [properties, datetime] - - # LonLat bounding box, generated on the fly from: - # `grids`, `crs` and `geometry` of the new metadata format - # - # Bounding box is defined by two ranges: - # [lon.begin, lon.end] -- Longitude - # [lat.begin, lat.end] -- Latitude - # - # Note that STAC is using `bbox` for the same thing as following: - # - # bbox: [left, bottom, right, top] - # 0 1 2 3 - # lon lat lon lat - # - # But MetadataType does not support integer index keys, so... - # BoundingBox: [lon.begin, lat.begin, lon.end, lat.end] - - lon: - description: Longitude range - type: double-range - min_offset: - - [extent, lon, begin] - max_offset: - - [extent, lon, end] - - lat: - description: Latitude range - type: double-range - min_offset: - - [extent, lat, begin] - max_offset: - - [extent, lat, end] diff --git a/digitalearthau/config/eo3/eo3_landsat_ard.odc-type.yaml b/digitalearthau/config/eo3/eo3_landsat_ard.odc-type.yaml deleted file mode 100644 index 6c250eae..00000000 --- a/digitalearthau/config/eo3/eo3_landsat_ard.odc-type.yaml +++ /dev/null @@ -1,286 +0,0 @@ ---- -name: eo3_landsat_ard -description: EO3 for ARD Landsat Collection 3 -dataset: - id: [id] # No longer configurable in newer ODCs. - sources: [lineage, source_datasets] # No longer configurable in newer ODCs. - - grid_spatial: [grid_spatial, projection] - measurements: [measurements] - creation_dt: [properties, 'odc:processing_datetime'] - label: [label] - format: [properties, 'odc:file_format'] - - search_fields: - platform: - description: Platform code - offset: [properties, 'eo:platform'] - indexed: false - - instrument: - description: Instrument name - offset: [properties, 'eo:instrument'] - indexed: false - - product_family: - description: Product family code - offset: [properties, 'odc:product_family'] - indexed: false - - region_code: - description: > - Spatial reference code from the provider. - For Landsat region_code is a scene path row: - '{:03d}{:03d}.format(path,row)' - For Sentinel it is MGRS code. - In general it is a unique string identifier - that datasets covering roughly the same spatial - region share. - - offset: [properties, 'odc:region_code'] - - dataset_maturity: - description: One of - final|interim|nrt (near real time) - offset: [properties, 'dea:dataset_maturity'] - - gqa: - description: GQA Circular error probable (90%) - type: double - offset: [properties, 'gqa:cep90'] - - cloud_cover: - description: Cloud cover percentage [0, 100] - type: double - offset: [properties, 'eo:cloud_cover'] - - time: - description: Acquisition time range - type: datetime-range - min_offset: - - [properties, 'dtr:start_datetime'] - - [properties, datetime] - max_offset: - - [properties, 'dtr:end_datetime'] - - [properties, datetime] - - # LonLat bounding box, generated on the fly from: - # `grids`, `crs` and `geometry` of the new metadata format - # - # Bounding box is defined by two ranges: - # [lon.begin, lon.end] -- Longitude - # [lat.begin, lat.end] -- Latitude - # - # Note that STAC is using `bbox` for the same thing as following: - # - # bbox: [left, bottom, right, top] - # 0 1 2 3 - # lon lat lon lat - # - # But MetadataType does not support integer index keys, so... - # BoundingBox: [lon.begin, lat.begin, lon.end, lat.end] - - lon: - description: Longitude range - type: double-range - min_offset: - - [extent, lon, begin] - max_offset: - - [extent, lon, end] - - lat: - description: Latitude range - type: double-range - min_offset: - - [extent, lat, begin] - max_offset: - - [extent, lat, end] - - # semi-auto generated below - eo_gsd: - description: Ground sample distance, meters - indexed: false - offset: - - properties - - eo:gsd - type: double - eo_sun_azimuth: - description: 'TODO: ' - indexed: false - offset: - - properties - - eo:sun_azimuth - type: double - eo_sun_elevation: - description: 'TODO: ' - indexed: false - offset: - - properties - - eo:sun_elevation - type: double - fmask_clear: - description: 'TODO: ' - indexed: false - offset: - - properties - - fmask:clear - type: double - fmask_cloud_shadow: - description: 'TODO: ' - indexed: false - offset: - - properties - - fmask:cloud_shadow - type: double - fmask_snow: - description: 'TODO: ' - indexed: false - offset: - - properties - - fmask:snow - type: double - fmask_water: - description: 'TODO: ' - indexed: false - offset: - - properties - - fmask:water - type: double - gqa_abs_iterative_mean_x: - description: 'TODO: ' - indexed: false - offset: - - properties - - gqa:abs_iterative_mean_x - type: double - gqa_abs_iterative_mean_xy: - description: 'TODO: ' - indexed: false - offset: - - properties - - gqa:abs_iterative_mean_xy - type: double - gqa_abs_iterative_mean_y: - description: 'TODO: ' - indexed: false - offset: - - properties - - gqa:abs_iterative_mean_y - type: double - gqa_abs_x: - description: 'TODO: ' - indexed: false - offset: - - properties - - gqa:abs_x - type: double - gqa_abs_xy: - description: 'TODO: ' - indexed: false - offset: - - properties - - gqa:abs_xy - type: double - gqa_abs_y: - description: 'TODO: ' - indexed: false - offset: - - properties - - gqa:abs_y - type: double - gqa_cep90: - description: 'TODO: ' - indexed: false - offset: - - properties - - gqa:cep90 - type: double - gqa_iterative_mean_x: - description: 'TODO: ' - indexed: false - offset: - - properties - - gqa:iterative_mean_x - type: double - gqa_iterative_mean_xy: - description: 'TODO: ' - indexed: false - offset: - - properties - - gqa:iterative_mean_xy - type: double - gqa_iterative_mean_y: - description: 'TODO: ' - indexed: false - offset: - - properties - - gqa:iterative_mean_y - type: double - gqa_iterative_stddev_x: - description: 'TODO: ' - indexed: false - offset: - - properties - - gqa:iterative_stddev_x - type: double - gqa_iterative_stddev_xy: - description: 'TODO: ' - indexed: false - offset: - - properties - - gqa:iterative_stddev_xy - type: double - gqa_iterative_stddev_y: - description: 'TODO: ' - indexed: false - offset: - - properties - - gqa:iterative_stddev_y - type: double - gqa_mean_x: - description: 'TODO: ' - indexed: false - offset: - - properties - - gqa:mean_x - type: double - gqa_mean_xy: - description: 'TODO: ' - indexed: false - offset: - - properties - - gqa:mean_xy - type: double - gqa_mean_y: - description: 'TODO: ' - indexed: false - offset: - - properties - - gqa:mean_y - type: double - gqa_stddev_x: - description: 'TODO: ' - indexed: false - offset: - - properties - - gqa:stddev_x - type: double - gqa_stddev_xy: - description: 'TODO: ' - indexed: false - offset: - - properties - - gqa:stddev_xy - type: double - gqa_stddev_y: - description: 'TODO: ' - indexed: false - offset: - - properties - - gqa:stddev_y - type: double - landsat_scene_id: - description: Landsat Scene ID - indexed: false - offset: - - properties - - landsat:landsat_scene_id diff --git a/digitalearthau/config/eo3/eo3_landsat_l1.odc-type.yaml b/digitalearthau/config/eo3/eo3_landsat_l1.odc-type.yaml deleted file mode 100644 index 360f1d70..00000000 --- a/digitalearthau/config/eo3/eo3_landsat_l1.odc-type.yaml +++ /dev/null @@ -1,135 +0,0 @@ ---- -name: eo3_landsat_l1 -description: EO3 for Level 1 Landsat, GA Collection 3 -dataset: - id: [id] # No longer configurable in newer ODCs. - sources: [lineage, source_datasets] # No longer configurable in newer ODCs. - - grid_spatial: [grid_spatial, projection] - measurements: [measurements] - creation_dt: [properties, 'odc:processing_datetime'] - label: [label] - format: [properties, 'odc:file_format'] - - search_fields: - platform: - description: Platform code - offset: [properties, 'eo:platform'] - indexed: false - - instrument: - description: Instrument name - offset: [properties, 'eo:instrument'] - indexed: false - - product_family: - description: Product family code - offset: [properties, 'odc:product_family'] - indexed: false - - region_code: - description: > - Spatial reference code from the provider. - For Landsat region_code is a scene path row: - '{:03d}{:03d}.format(path,row)'. - For Sentinel it is MGRS code. - In general it is a unique string identifier that datasets - covering roughly the same spatial region share. - - offset: [properties, 'odc:region_code'] - - dataset_maturity: - description: One of - final|interim|nrt (near real time) - offset: [properties, 'dea:dataset_maturity'] - indexed: false - - cloud_cover: - description: Cloud cover percentage [0, 100] - type: double - offset: [properties, 'eo:cloud_cover'] - - time: - description: Acquisition time range - type: datetime-range - min_offset: - - [properties, 'dtr:start_datetime'] - - [properties, datetime] - max_offset: - - [properties, 'dtr:end_datetime'] - - [properties, datetime] - - # LonLat bounding box, generated on the fly from: - # `grids`, `crs` and `geometry` of the new metadata format - # - # Bounding box is defined by two ranges: - # [lon.begin, lon.end] -- Longitude - # [lat.begin, lat.end] -- Latitude - # - # Note that STAC is using `bbox` for the same thing as following: - # - # bbox: [left, bottom, right, top] - # 0 1 2 3 - # lon lat lon lat - # - # But MetadataType does not support integer index keys, so... - # BoundingBox: [lon.begin, lat.begin, lon.end, lat.end] - - lon: - description: Longitude range - type: double-range - min_offset: - - [extent, lon, begin] - max_offset: - - [extent, lon, end] - - lat: - description: Latitude range - type: double-range - min_offset: - - [extent, lat, begin] - max_offset: - - [extent, lat, end] - - # semi-auto generated below - eo_gsd: - # The nominal distance between pixel centers available, in meters. - description: Ground Sample distance, meters - indexed: false - offset: - - properties - - eo:gsd - type: double - eo_sun_azimuth: - description: Sun azimuth angle - indexed: false - offset: - - properties - - eo:sun_azimuth - type: double - eo_sun_elevation: - description: Sun elevation angle - indexed: false - offset: - - properties - - eo:sun_elevation - type: double - - # Level 1 fields - landsat_product_id: - description: Landsat Product ID - indexed: false - offset: - - properties - - landsat:landsat_product_id - landsat_scene_id: - description: Landsat Scene ID - indexed: false - offset: - - properties - - landsat:landsat_scene_id - landsat_data_type: - description: "Landsat Data Type (eg. 'L1T')" - indexed: false - offset: - - properties - - landsat:data_type diff --git a/digitalearthau/config/eo3/products-aws/ard_ls5.odc-product.yaml b/digitalearthau/config/eo3/products-aws/ard_ls5.odc-product.yaml deleted file mode 100644 index 24c3bccb..00000000 --- a/digitalearthau/config/eo3/products-aws/ard_ls5.odc-product.yaml +++ /dev/null @@ -1,169 +0,0 @@ ---- -name: ga_ls5t_ard_3 -description: Geoscience Australia Landsat 5 Thematic Mapper Analysis Ready Data Collection 3 -metadata_type: eo3_landsat_ard - -license: CC-BY-4.0 - -metadata: - product: - name: ga_ls5t_ard_3 - properties: - eo:platform: landsat-5 - eo:instrument: TM - dea:dataset_maturity: final - odc:product_family: ard - odc:producer: ga.gov.au - landsat:collection_number: 1 - -measurements: - # NBART - - name: nbart_blue - aliases: - - nbart_band01 - - blue - dtype: int16 - nodata: -999 - units: '1' - - name: nbart_green - aliases: - - nbart_band02 - - green - dtype: int16 - nodata: -999 - units: '1' - - name: nbart_red - aliases: - - nbart_band03 - - red - dtype: int16 - nodata: -999 - units: '1' - - name: nbart_nir - aliases: - - nbart_band04 - - nir - dtype: int16 - nodata: -999 - units: '1' - - name: nbart_swir_1 - aliases: - - nbart_band05 - - swir_1 - # Requested for backwards compatibility with previous collection - - swir1 - dtype: int16 - nodata: -999 - units: '1' - - name: nbart_swir_2 - aliases: - - nbart_band07 - - swir_2 - # Requested for backwards compatibility with previous collection - - swir2 - dtype: int16 - nodata: -999 - units: '1' - - # Observation Attributes - - name: oa_fmask - aliases: - - fmask - dtype: uint8 - nodata: 0 - units: '1' - flags_definition: - fmask: - bits: [0, 1, 2, 3, 4, 5, 6, 7] - description: Fmask - values: - '0': nodata - '1': valid - '2': cloud - '3': shadow - '4': snow - '5': water - - name: oa_nbart_contiguity - aliases: - - nbart_contiguity - dtype: uint8 - nodata: 255 - units: '1' - flags_definition: - contiguous: - bits: [0] - values: - '1': true - '0': false - - name: oa_azimuthal_exiting - aliases: - - azimuthal_exiting - dtype: float32 - nodata: .nan - units: '1' - - name: oa_azimuthal_incident - aliases: - - azimuthal_incident - dtype: float32 - nodata: .nan - units: '1' - - name: oa_combined_terrain_shadow - aliases: - - combined_terrain_shadow - dtype: uint8 - nodata: 255 - units: '1' - - name: oa_exiting_angle - aliases: - - exiting_angle - dtype: float32 - nodata: .nan - units: '1' - - name: oa_incident_angle - aliases: - - incident_angle - dtype: float32 - nodata: .nan - units: '1' - - name: oa_relative_azimuth - aliases: - - relative_azimuth - dtype: float32 - nodata: .nan - units: '1' - - name: oa_relative_slope - aliases: - - relative_slope - dtype: float32 - nodata: .nan - units: '1' - - name: oa_satellite_azimuth - aliases: - - satellite_azimuth - dtype: float32 - nodata: .nan - units: '1' - - name: oa_satellite_view - aliases: - - satellite_view - dtype: float32 - nodata: .nan - units: '1' - - name: oa_solar_azimuth - aliases: - - solar_azimuth - dtype: float32 - nodata: .nan - units: '1' - - name: oa_solar_zenith - aliases: - - solar_zenith - dtype: float32 - nodata: .nan - units: '1' - - name: oa_time_delta - aliases: - - time_delta - dtype: float32 - nodata: .nan - units: '1' diff --git a/digitalearthau/config/eo3/products-aws/ard_ls7.odc-product.yaml b/digitalearthau/config/eo3/products-aws/ard_ls7.odc-product.yaml deleted file mode 100644 index 43cd6570..00000000 --- a/digitalearthau/config/eo3/products-aws/ard_ls7.odc-product.yaml +++ /dev/null @@ -1,176 +0,0 @@ ---- -name: ga_ls7e_ard_3 -description: Geoscience Australia Landsat 7 Enhanced Thematic Mapper Plus Analysis Ready Data Collection 3 -metadata_type: eo3_landsat_ard - -license: CC-BY-4.0 - -metadata: - product: - name: ga_ls7e_ard_3 - properties: - eo:platform: landsat-7 - eo:instrument: ETM - dea:dataset_maturity: final - odc:product_family: ard - odc:producer: ga.gov.au - landsat:collection_number: 1 - -measurements: - # NBART - - name: nbart_blue - aliases: - - nbart_band01 - - blue - dtype: int16 - nodata: -999 - units: '1' - - name: nbart_green - aliases: - - nbart_band02 - - green - dtype: int16 - nodata: -999 - units: '1' - - name: nbart_red - aliases: - - nbart_band03 - - red - dtype: int16 - nodata: -999 - units: '1' - - name: nbart_nir - aliases: - - nbart_band04 - - red - dtype: int16 - nodata: -999 - units: '1' - - name: nbart_swir_1 - aliases: - - nbart_band05 - - swir_1 - # Requested for backwards compatibility with previous collection - - swir1 - dtype: int16 - nodata: -999 - units: '1' - - name: nbart_swir_2 - aliases: - - nbart_band07 - - swir_2 - # Requested for backwards compatibility with previous collection - - swir2 - dtype: int16 - nodata: -999 - units: '1' - - name: nbart_panchromatic - aliases: - - nbart_band08 - - panchromatic - dtype: int16 - nodata: -999 - units: '1' - - # Observation Attributes - - name: oa_fmask - aliases: - - fmask - dtype: uint8 - nodata: 0 - units: '1' - flags_definition: - fmask: - bits: [0, 1, 2, 3, 4, 5, 6, 7] - description: Fmask - values: - '0': nodata - '1': valid - '2': cloud - '3': shadow - '4': snow - '5': water - - name: oa_nbart_contiguity - aliases: - - nbart_contiguity - dtype: uint8 - nodata: 255 - units: '1' - flags_definition: - contiguous: - bits: [0] - values: - '1': true - '0': false - - name: oa_azimuthal_exiting - aliases: - - azimuthal_exiting - dtype: float32 - nodata: .nan - units: '1' - - name: oa_azimuthal_incident - aliases: - - azimuthal_incident - dtype: float32 - nodata: .nan - units: '1' - - name: oa_combined_terrain_shadow - aliases: - - combined_terrain_shadow - dtype: uint8 - nodata: 255 - units: '1' - - name: oa_exiting_angle - aliases: - - exiting_angle - dtype: float32 - nodata: .nan - units: '1' - - name: oa_incident_angle - aliases: - - incident_angle - dtype: float32 - nodata: .nan - units: '1' - - name: oa_relative_azimuth - aliases: - - relative_azimuth - dtype: float32 - nodata: .nan - units: '1' - - name: oa_relative_slope - aliases: - - relative_slope - dtype: float32 - nodata: .nan - units: '1' - - name: oa_satellite_azimuth - aliases: - - satellite_azimuth - dtype: float32 - nodata: .nan - units: '1' - - name: oa_satellite_view - aliases: - - satellite_view - dtype: float32 - nodata: .nan - units: '1' - - name: oa_solar_azimuth - aliases: - - solar_azimuth - dtype: float32 - nodata: .nan - units: '1' - - name: oa_solar_zenith - aliases: - - solar_zenith - dtype: float32 - nodata: .nan - units: '1' - - name: oa_time_delta - aliases: - - time_delta - dtype: float32 - nodata: .nan - units: '1' diff --git a/digitalearthau/config/eo3/products-aws/ard_ls8.odc-product.yaml b/digitalearthau/config/eo3/products-aws/ard_ls8.odc-product.yaml deleted file mode 100644 index 4effc4ac..00000000 --- a/digitalearthau/config/eo3/products-aws/ard_ls8.odc-product.yaml +++ /dev/null @@ -1,183 +0,0 @@ ---- -name: ga_ls8c_ard_3 -description: Geoscience Australia Landsat 8 Operational Land Imager and Thermal Infra-Red Scanner Analysis Ready Data Collection 3 -metadata_type: eo3_landsat_ard - -license: CC-BY-4.0 - -metadata: - product: - name: ga_ls8c_ard_3 - properties: - eo:platform: landsat-8 - eo:instrument: OLI_TIRS - dea:dataset_maturity: final - odc:product_family: ard - odc:producer: ga.gov.au - landsat:collection_number: 1 - -measurements: - # NBART - - name: nbart_coastal_aerosol - aliases: - - nbart_band01 - - coastal_aerosol - dtype: int16 - nodata: -999 - units: '1' - - name: nbart_blue - aliases: - - nbart_band02 - - blue - dtype: int16 - nodata: -999 - units: '1' - - name: nbart_green - aliases: - - nbart_band03 - - green - dtype: int16 - nodata: -999 - units: '1' - - name: nbart_red - aliases: - - nbart_band04 - - red - dtype: int16 - nodata: -999 - units: '1' - - name: nbart_nir - aliases: - - nbart_band05 - - nir - dtype: int16 - nodata: -999 - units: '1' - - name: nbart_swir_1 - aliases: - - nbart_band06 - - swir_1 - # Requested for backwards compatibility with previous collection - - swir1 - dtype: int16 - nodata: -999 - units: '1' - - name: nbart_swir_2 - aliases: - - nbart_band07 - - swir_2 - # Requested for backwards compatibility with previous collection - - swir2 - dtype: int16 - nodata: -999 - units: '1' - - name: nbart_panchromatic - aliases: - - nbart_band08 - - panchromatic - dtype: int16 - nodata: -999 - units: '1' - - # Observation Attributes - - name: oa_fmask - aliases: - - fmask - dtype: uint8 - nodata: 0 - units: '1' - flags_definition: - fmask: - bits: [0, 1, 2, 3, 4, 5, 6, 7] - description: Fmask - values: - '0': nodata - '1': valid - '2': cloud - '3': shadow - '4': snow - '5': water - - name: oa_nbart_contiguity - aliases: - - nbart_contiguity - dtype: uint8 - nodata: 255 - units: '1' - flags_definition: - contiguous: - bits: [0] - values: - '1': true - '0': false - - name: oa_azimuthal_exiting - aliases: - - azimuthal_exiting - dtype: float32 - nodata: .nan - units: '1' - - name: oa_azimuthal_incident - aliases: - - azimuthal_incident - dtype: float32 - nodata: .nan - units: '1' - - name: oa_combined_terrain_shadow - aliases: - - combined_terrain_shadow - dtype: uint8 - nodata: 255 - units: '1' - - name: oa_exiting_angle - aliases: - - exiting_angle - dtype: float32 - nodata: .nan - units: '1' - - name: oa_incident_angle - aliases: - - incident_angle - dtype: float32 - nodata: .nan - units: '1' - - name: oa_relative_azimuth - aliases: - - relative_azimuth - dtype: float32 - nodata: .nan - units: '1' - - name: oa_relative_slope - aliases: - - relative_slope - dtype: float32 - nodata: .nan - units: '1' - - name: oa_satellite_azimuth - aliases: - - satellite_azimuth - dtype: float32 - nodata: .nan - units: '1' - - name: oa_satellite_view - aliases: - - satellite_view - dtype: float32 - nodata: .nan - units: '1' - - name: oa_solar_azimuth - aliases: - - solar_azimuth - dtype: float32 - nodata: .nan - units: '1' - - name: oa_solar_zenith - aliases: - - solar_zenith - dtype: float32 - nodata: .nan - units: '1' - - name: oa_time_delta - aliases: - - time_delta - dtype: float32 - nodata: .nan - units: '1' diff --git a/digitalearthau/config/eo3/products-aws/ga_ls_fc_3.odc-product.yaml b/digitalearthau/config/eo3/products-aws/ga_ls_fc_3.odc-product.yaml deleted file mode 100644 index f4b95568..00000000 --- a/digitalearthau/config/eo3/products-aws/ga_ls_fc_3.odc-product.yaml +++ /dev/null @@ -1,33 +0,0 @@ -name: ga_ls_fc_3 -description: Geoscience Australia Landsat Fractional Cover Collection 3 -metadata_type: eo3 - -metadata: - properties: - odc:product_family: fc - odc:file_format: GeoTIFF - product: - name: ga_ls_fc_3 - href: https://collections.dea.ga.gov.au/product/ga_ls_fc_3 - -measurements: - - name: bs - units: "percent" - dtype: uint8 - nodata: 255 - aliases: ["bare"] - - name: pv - units: "percent" - dtype: uint8 - nodata: 255 - aliases: ["green_veg"] - - name: npv - units: "percent" - dtype: uint8 - nodata: 255 - aliases: ["dead_veg"] - - name: ue - units: "1" - dtype: uint8 - nodata: 255 - aliases: ["err"] diff --git a/digitalearthau/config/eo3/products-aws/ga_ls_wo_3.odc-product.yaml b/digitalearthau/config/eo3/products-aws/ga_ls_wo_3.odc-product.yaml deleted file mode 100644 index 1d1e8d61..00000000 --- a/digitalearthau/config/eo3/products-aws/ga_ls_wo_3.odc-product.yaml +++ /dev/null @@ -1,52 +0,0 @@ -name: ga_ls_wo_3 -description: Geoscience Australia Landsat Water Observations Collection 3 -metadata_type: eo3 -metadata: - properties: - odc:product_family: wofs - odc:file_format: GeoTIFF - product: - name: ga_ls_wofs_3 - -measurements: - - name: water - dtype: uint8 - nodata: 1 - units: '1' - flags_definition: - dry: - bits: [7, 6, 5, 4, 3, 2, 1, 0] - description: No water detected - values: {0: true} - nodata: - bits: 0 - description: No data - values: {0: false, 1: true} - noncontiguous: - bits: 1 - description: At least one EO band is missing or saturated - values: {0: false, 1: true} - low_solar_angle: - bits: 2 - description: Low solar incidence angle - values: {0: false, 1: true} - terrain_shadow: - bits: 3 - description: Terrain shadow - values: {0: false, 1: true} - high_slope: - bits: 4 - description: High slope - values: {0: false, 1: true} - cloud_shadow: - bits: 5 - description: Cloud shadow - values: {0: false, 1: true} - cloud: - bits: 6 - description: Cloudy - values: {0: false, 1: true} - wet: - bits: [7, 6, 5, 4, 3, 2, 1, 0] - description: Clear and Wet - values: {128: true} diff --git a/digitalearthau/config/eo3/products/ard_ls5.odc-product.yaml b/digitalearthau/config/eo3/products/ard_ls5.odc-product.yaml deleted file mode 100644 index 6a1adac0..00000000 --- a/digitalearthau/config/eo3/products/ard_ls5.odc-product.yaml +++ /dev/null @@ -1,219 +0,0 @@ ---- -name: ga_ls5t_ard_3 -description: Geoscience Australia Landsat 5 Thematic Mapper Analysis Ready Data Collection 3 -metadata_type: eo3_landsat_ard - -license: CC-BY-4.0 - -metadata: - product: - name: ga_ls5t_ard_3 - properties: - eo:platform: landsat-5 - eo:instrument: TM - dea:dataset_maturity: final - odc:product_family: ard - odc:producer: ga.gov.au - landsat:collection_number: 1 - -measurements: - # NBAR - - name: nbar_blue - aliases: - - nbar_band01 - dtype: int16 - nodata: -999 - units: '1' - - name: nbar_green - aliases: - - nbar_band02 - dtype: int16 - nodata: -999 - units: '1' - - name: nbar_red - aliases: - - nbar_band03 - dtype: int16 - nodata: -999 - units: '1' - - name: nbar_nir - aliases: - - nbar_band04 - dtype: int16 - nodata: -999 - units: '1' - - name: nbar_swir_1 - aliases: - - nbar_band05 - dtype: int16 - nodata: -999 - units: '1' - - name: nbar_swir_2 - aliases: - - nbar_band07 - dtype: int16 - nodata: -999 - units: '1' - - # NBART - - name: nbart_blue - aliases: - - nbart_band01 - - blue - dtype: int16 - nodata: -999 - units: '1' - - name: nbart_green - aliases: - - nbart_band02 - - green - dtype: int16 - nodata: -999 - units: '1' - - name: nbart_red - aliases: - - nbart_band03 - - red - dtype: int16 - nodata: -999 - units: '1' - - name: nbart_nir - aliases: - - nbart_band04 - - nir - dtype: int16 - nodata: -999 - units: '1' - - name: nbart_swir_1 - aliases: - - nbart_band05 - - swir_1 - # Requested for backwards compatibility with previous collection - - swir1 - dtype: int16 - nodata: -999 - units: '1' - - name: nbart_swir_2 - aliases: - - nbart_band07 - - swir_2 - # Requested for backwards compatibility with previous collection - - swir2 - dtype: int16 - nodata: -999 - units: '1' - - # Observation Attributes - - name: oa_fmask - aliases: - - fmask - dtype: uint8 - nodata: 0 - units: '1' - flags_definition: - fmask: - bits: [0, 1, 2, 3, 4, 5, 6, 7] - description: Fmask - values: - '0': nodata - '1': valid - '2': cloud - '3': shadow - '4': snow - '5': water - - name: oa_nbar_contiguity - aliases: - - nbar_contiguity - dtype: uint8 - nodata: 255 - units: '1' - flags_definition: - contiguous: - bits: [0] - values: - '1': true - '0': false - - name: oa_nbart_contiguity - aliases: - - nbart_contiguity - dtype: uint8 - nodata: 255 - units: '1' - flags_definition: - contiguous: - bits: [0] - values: - '1': true - '0': false - - name: oa_azimuthal_exiting - aliases: - - azimuthal_exiting - dtype: float32 - nodata: .nan - units: '1' - - name: oa_azimuthal_incident - aliases: - - azimuthal_incident - dtype: float32 - nodata: .nan - units: '1' - - name: oa_combined_terrain_shadow - aliases: - - combined_terrain_shadow - dtype: uint8 - nodata: 255 - units: '1' - - name: oa_exiting_angle - aliases: - - exiting_angle - dtype: float32 - nodata: .nan - units: '1' - - name: oa_incident_angle - aliases: - - incident_angle - dtype: float32 - nodata: .nan - units: '1' - - name: oa_relative_azimuth - aliases: - - relative_azimuth - dtype: float32 - nodata: .nan - units: '1' - - name: oa_relative_slope - aliases: - - relative_slope - dtype: float32 - nodata: .nan - units: '1' - - name: oa_satellite_azimuth - aliases: - - satellite_azimuth - dtype: float32 - nodata: .nan - units: '1' - - name: oa_satellite_view - aliases: - - satellite_view - dtype: float32 - nodata: .nan - units: '1' - - name: oa_solar_azimuth - aliases: - - solar_azimuth - dtype: float32 - nodata: .nan - units: '1' - - name: oa_solar_zenith - aliases: - - solar_zenith - dtype: float32 - nodata: .nan - units: '1' - - name: oa_time_delta - aliases: - - time_delta - dtype: float32 - nodata: .nan - units: '1' diff --git a/digitalearthau/config/eo3/products/ard_ls7.odc-product.yaml b/digitalearthau/config/eo3/products/ard_ls7.odc-product.yaml deleted file mode 100644 index 1ef18a30..00000000 --- a/digitalearthau/config/eo3/products/ard_ls7.odc-product.yaml +++ /dev/null @@ -1,232 +0,0 @@ ---- -name: ga_ls7e_ard_3 -description: Geoscience Australia Landsat 7 Enhanced Thematic Mapper Plus Analysis Ready Data Collection 3 -metadata_type: eo3_landsat_ard - -license: CC-BY-4.0 - -metadata: - product: - name: ga_ls7e_ard_3 - properties: - eo:platform: landsat-7 - eo:instrument: ETM - dea:dataset_maturity: final - odc:product_family: ard - odc:producer: ga.gov.au - landsat:collection_number: 1 - -measurements: - # NBAR - - name: nbar_blue - aliases: - - nbar_band01 - dtype: int16 - nodata: -999 - units: '1' - - name: nbar_green - aliases: - - nbar_band02 - dtype: int16 - nodata: -999 - units: '1' - - name: nbar_red - aliases: - - nbar_band03 - dtype: int16 - nodata: -999 - units: '1' - - name: nbar_nir - aliases: - - nbar_band04 - dtype: int16 - nodata: -999 - units: '1' - - name: nbar_swir_1 - aliases: - - nbar_band05 - dtype: int16 - nodata: -999 - units: '1' - - name: nbar_swir_2 - aliases: - - nbar_band07 - dtype: int16 - nodata: -999 - units: '1' - - name: nbar_panchromatic - aliases: - - nbar_band08 - dtype: int16 - nodata: -999 - units: '1' - - # NBART - - name: nbart_blue - aliases: - - nbart_band01 - - blue - dtype: int16 - nodata: -999 - units: '1' - - name: nbart_green - aliases: - - nbart_band02 - - green - dtype: int16 - nodata: -999 - units: '1' - - name: nbart_red - aliases: - - nbart_band03 - - red - dtype: int16 - nodata: -999 - units: '1' - - name: nbart_nir - aliases: - - nbart_band04 - - red - dtype: int16 - nodata: -999 - units: '1' - - name: nbart_swir_1 - aliases: - - nbart_band05 - - swir_1 - # Requested for backwards compatibility with previous collection - - swir1 - dtype: int16 - nodata: -999 - units: '1' - - name: nbart_swir_2 - aliases: - - nbart_band07 - - swir_2 - # Requested for backwards compatibility with previous collection - - swir2 - dtype: int16 - nodata: -999 - units: '1' - - name: nbart_panchromatic - aliases: - - nbart_band08 - - panchromatic - dtype: int16 - nodata: -999 - units: '1' - - # Observation Attributes - - name: oa_fmask - aliases: - - fmask - dtype: uint8 - nodata: 0 - units: '1' - flags_definition: - fmask: - bits: [0, 1, 2, 3, 4, 5, 6, 7] - description: Fmask - values: - '0': nodata - '1': valid - '2': cloud - '3': shadow - '4': snow - '5': water - - name: oa_nbar_contiguity - aliases: - - nbar_contiguity - dtype: uint8 - nodata: 255 - units: '1' - flags_definition: - contiguous: - bits: [0] - values: - '1': true - '0': false - - name: oa_nbart_contiguity - aliases: - - nbart_contiguity - dtype: uint8 - nodata: 255 - units: '1' - flags_definition: - contiguous: - bits: [0] - values: - '1': true - '0': false - - name: oa_azimuthal_exiting - aliases: - - azimuthal_exiting - dtype: float32 - nodata: .nan - units: '1' - - name: oa_azimuthal_incident - aliases: - - azimuthal_incident - dtype: float32 - nodata: .nan - units: '1' - - name: oa_combined_terrain_shadow - aliases: - - combined_terrain_shadow - dtype: uint8 - nodata: 255 - units: '1' - - name: oa_exiting_angle - aliases: - - exiting_angle - dtype: float32 - nodata: .nan - units: '1' - - name: oa_incident_angle - aliases: - - incident_angle - dtype: float32 - nodata: .nan - units: '1' - - name: oa_relative_azimuth - aliases: - - relative_azimuth - dtype: float32 - nodata: .nan - units: '1' - - name: oa_relative_slope - aliases: - - relative_slope - dtype: float32 - nodata: .nan - units: '1' - - name: oa_satellite_azimuth - aliases: - - satellite_azimuth - dtype: float32 - nodata: .nan - units: '1' - - name: oa_satellite_view - aliases: - - satellite_view - dtype: float32 - nodata: .nan - units: '1' - - name: oa_solar_azimuth - aliases: - - solar_azimuth - dtype: float32 - nodata: .nan - units: '1' - - name: oa_solar_zenith - aliases: - - solar_zenith - dtype: float32 - nodata: .nan - units: '1' - - name: oa_time_delta - aliases: - - time_delta - dtype: float32 - nodata: .nan - units: '1' diff --git a/digitalearthau/config/eo3/products/ard_ls8.odc-product.yaml b/digitalearthau/config/eo3/products/ard_ls8.odc-product.yaml deleted file mode 100644 index d2869130..00000000 --- a/digitalearthau/config/eo3/products/ard_ls8.odc-product.yaml +++ /dev/null @@ -1,245 +0,0 @@ ---- -name: ga_ls8c_ard_3 -description: Geoscience Australia Landsat 8 Operational Land Imager and Thermal Infra-Red Scanner Analysis Ready Data Collection 3 -metadata_type: eo3_landsat_ard - -license: CC-BY-4.0 - -metadata: - product: - name: ga_ls8c_ard_3 - properties: - eo:platform: landsat-8 - eo:instrument: OLI_TIRS - dea:dataset_maturity: final - odc:product_family: ard - odc:producer: ga.gov.au - landsat:collection_number: 1 - -measurements: - # NBAR - - name: nbar_coastal_aerosol - aliases: - - nbar_band01 - dtype: int16 - nodata: -999 - units: '1' - - name: nbar_blue - aliases: - - nbar_band02 - dtype: int16 - nodata: -999 - units: '1' - - name: nbar_green - aliases: - - nbar_band03 - dtype: int16 - nodata: -999 - units: '1' - - name: nbar_red - aliases: - - nbar_band04 - dtype: int16 - nodata: -999 - units: '1' - - name: nbar_nir - aliases: - - nbar_band05 - dtype: int16 - nodata: -999 - units: '1' - - name: nbar_swir_1 - aliases: - - nbar_band06 - dtype: int16 - nodata: -999 - units: '1' - - name: nbar_swir_2 - aliases: - - nbar_band07 - dtype: int16 - nodata: -999 - units: '1' - - name: nbar_panchromatic - aliases: - - nbar_band08 - dtype: int16 - nodata: -999 - units: '1' - - # NBART - - name: nbart_coastal_aerosol - aliases: - - nbart_band01 - - coastal_aerosol - dtype: int16 - nodata: -999 - units: '1' - - name: nbart_blue - aliases: - - nbart_band02 - - blue - dtype: int16 - nodata: -999 - units: '1' - - name: nbart_green - aliases: - - nbart_band03 - - green - dtype: int16 - nodata: -999 - units: '1' - - name: nbart_red - aliases: - - nbart_band04 - - red - dtype: int16 - nodata: -999 - units: '1' - - name: nbart_nir - aliases: - - nbart_band05 - - nir - dtype: int16 - nodata: -999 - units: '1' - - name: nbart_swir_1 - aliases: - - nbart_band06 - - swir_1 - # Requested for backwards compatibility with previous collection - - swir1 - dtype: int16 - nodata: -999 - units: '1' - - name: nbart_swir_2 - aliases: - - nbart_band07 - - swir_2 - # Requested for backwards compatibility with previous collection - - swir2 - dtype: int16 - nodata: -999 - units: '1' - - name: nbart_panchromatic - aliases: - - nbart_band08 - - panchromatic - dtype: int16 - nodata: -999 - units: '1' - - # Observation Attributes - - name: oa_fmask - aliases: - - fmask - dtype: uint8 - nodata: 0 - units: '1' - flags_definition: - fmask: - bits: [0, 1, 2, 3, 4, 5, 6, 7] - description: Fmask - values: - '0': nodata - '1': valid - '2': cloud - '3': shadow - '4': snow - '5': water - - name: oa_nbar_contiguity - aliases: - - nbar_contiguity - dtype: uint8 - nodata: 255 - units: '1' - flags_definition: - contiguous: - bits: [0] - values: - '1': true - '0': false - - name: oa_nbart_contiguity - aliases: - - nbart_contiguity - dtype: uint8 - nodata: 255 - units: '1' - flags_definition: - contiguous: - bits: [0] - values: - '1': true - '0': false - - name: oa_azimuthal_exiting - aliases: - - azimuthal_exiting - dtype: float32 - nodata: .nan - units: '1' - - name: oa_azimuthal_incident - aliases: - - azimuthal_incident - dtype: float32 - nodata: .nan - units: '1' - - name: oa_combined_terrain_shadow - aliases: - - combined_terrain_shadow - dtype: uint8 - nodata: 255 - units: '1' - - name: oa_exiting_angle - aliases: - - exiting_angle - dtype: float32 - nodata: .nan - units: '1' - - name: oa_incident_angle - aliases: - - incident_angle - dtype: float32 - nodata: .nan - units: '1' - - name: oa_relative_azimuth - aliases: - - relative_azimuth - dtype: float32 - nodata: .nan - units: '1' - - name: oa_relative_slope - aliases: - - relative_slope - dtype: float32 - nodata: .nan - units: '1' - - name: oa_satellite_azimuth - aliases: - - satellite_azimuth - dtype: float32 - nodata: .nan - units: '1' - - name: oa_satellite_view - aliases: - - satellite_view - dtype: float32 - nodata: .nan - units: '1' - - name: oa_solar_azimuth - aliases: - - solar_azimuth - dtype: float32 - nodata: .nan - units: '1' - - name: oa_solar_zenith - aliases: - - solar_zenith - dtype: float32 - nodata: .nan - units: '1' - - name: oa_time_delta - aliases: - - time_delta - dtype: float32 - nodata: .nan - units: '1' diff --git a/digitalearthau/config/eo3/products/l1_ls5.odc-product.yaml b/digitalearthau/config/eo3/products/l1_ls5.odc-product.yaml deleted file mode 100644 index b8248c9f..00000000 --- a/digitalearthau/config/eo3/products/l1_ls5.odc-product.yaml +++ /dev/null @@ -1,60 +0,0 @@ ---- -name: usgs_ls5t_level1_1 -description: United States Geological Survey Landsat 5 Thematic Mapper Level 1 Collection 1 -metadata_type: eo3_landsat_l1 - -license: CC-BY-4.0 - -metadata: - product: - name: usgs_ls5t_level1_1 - properties: - eo:platform: landsat-5 - eo:instrument: TM - odc:product_family: level1 - odc:producer: usgs.gov - landsat:collection_number: 1 - -measurements: - - name: blue - aliases: - - band01 - dtype: uint16 - nodata: 65535 - units: '1' - - name: green - aliases: - - band02 - dtype: uint16 - nodata: 65535 - units: '1' - - name: red - aliases: - - band03 - dtype: uint16 - nodata: 65535 - units: '1' - - name: nir - aliases: - - band04 - dtype: uint16 - nodata: 65535 - units: '1' - - name: swir_1 - aliases: - - band05 - dtype: uint16 - nodata: 65535 - units: '1' - - name: swir_2 - aliases: - - band07 - dtype: uint16 - nodata: 65535 - units: '1' - - name: quality - aliases: - - bqa - dtype: uint16 - nodata: 65535 - units: '1' diff --git a/digitalearthau/config/eo3/products/l1_ls5_ga.odc-product.yaml b/digitalearthau/config/eo3/products/l1_ls5_ga.odc-product.yaml deleted file mode 100644 index af1a2c82..00000000 --- a/digitalearthau/config/eo3/products/l1_ls5_ga.odc-product.yaml +++ /dev/null @@ -1,60 +0,0 @@ ---- -name: ga_ls5t_level1_3 -description: Geoscience Australia Landsat 5 Thematic Mapper Level 1 Collection 3 -metadata_type: eo3_landsat_l1 - -license: CC-BY-4.0 - -metadata: - product: - name: ga_ls5t_level1_3 - properties: - eo:platform: landsat-5 - eo:instrument: TM - odc:product_family: level1 - odc:producer: ga.gov.au - landsat:collection_number: 1 - -measurements: - - name: blue - aliases: - - band01 - dtype: uint16 - nodata: 65535 - units: '1' - - name: green - aliases: - - band02 - dtype: uint16 - nodata: 65535 - units: '1' - - name: red - aliases: - - band03 - dtype: uint16 - nodata: 65535 - units: '1' - - name: nir - aliases: - - band04 - dtype: uint16 - nodata: 65535 - units: '1' - - name: swir_1 - aliases: - - band05 - dtype: uint16 - nodata: 65535 - units: '1' - - name: swir_2 - aliases: - - band07 - dtype: uint16 - nodata: 65535 - units: '1' - - name: quality - aliases: - - bqa - dtype: uint16 - nodata: 65535 - units: '1' diff --git a/digitalearthau/config/eo3/products/l1_ls7.odc-product.yaml b/digitalearthau/config/eo3/products/l1_ls7.odc-product.yaml deleted file mode 100644 index 5c7463f8..00000000 --- a/digitalearthau/config/eo3/products/l1_ls7.odc-product.yaml +++ /dev/null @@ -1,66 +0,0 @@ ---- -name: usgs_ls7e_level1_1 -description: United States Geological Survey Landsat 7 Enhanced Thematic Mapper Plus Level 1 Collection 1 -metadata_type: eo3_landsat_l1 - -license: CC-BY-4.0 - -metadata: - product: - name: usgs_ls7e_level1_1 - properties: - eo:platform: landsat-7 - eo:instrument: ETM - odc:product_family: level1 - odc:producer: usgs.gov - landsat:collection_number: 1 - -measurements: - - name: blue - aliases: - - band01 - dtype: uint16 - nodata: 65535 - units: '1' - - name: green - aliases: - - band02 - dtype: uint16 - nodata: 65535 - units: '1' - - name: red - aliases: - - band03 - dtype: uint16 - nodata: 65535 - units: '1' - - name: nir - aliases: - - band04 - dtype: uint16 - nodata: 65535 - units: '1' - - name: swir_1 - aliases: - - band05 - dtype: uint16 - nodata: 65535 - units: '1' - - name: swir_2 - aliases: - - band07 - dtype: uint16 - nodata: 65535 - units: '1' - # - name: panchromatic - # aliases: - # - band08 - # dtype: uint16 - # nodata: 65535 - # units: '1' - - name: quality - aliases: - - bqa - dtype: uint16 - nodata: 65535 - units: '1' diff --git a/digitalearthau/config/eo3/products/l1_ls7_ga.odc-product.yaml b/digitalearthau/config/eo3/products/l1_ls7_ga.odc-product.yaml deleted file mode 100644 index 44ede958..00000000 --- a/digitalearthau/config/eo3/products/l1_ls7_ga.odc-product.yaml +++ /dev/null @@ -1,66 +0,0 @@ ---- -name: ga_ls7e_level1_3 -description: Geoscience Australia Landsat 7 Enhanced Thematic Mapper Plus Level 1 Collection 3 -metadata_type: eo3_landsat_l1 - -license: CC-BY-4.0 - -metadata: - product: - name: ga_ls7e_level1_3 - properties: - eo:platform: landsat-7 - eo:instrument: ETM - odc:product_family: level1 - odc:producer: ga.gov.au - landsat:collection_number: 1 - -measurements: - - name: blue - aliases: - - band01 - dtype: uint16 - nodata: 65535 - units: '1' - - name: green - aliases: - - band02 - dtype: uint16 - nodata: 65535 - units: '1' - - name: red - aliases: - - band03 - dtype: uint16 - nodata: 65535 - units: '1' - - name: nir - aliases: - - band04 - dtype: uint16 - nodata: 65535 - units: '1' - - name: swir_1 - aliases: - - band05 - dtype: uint16 - nodata: 65535 - units: '1' - - name: swir_2 - aliases: - - band07 - dtype: uint16 - nodata: 65535 - units: '1' - # - name: panchromatic - # aliases: - # - band08 - # dtype: uint16 - # nodata: 65535 - # units: '1' - - name: quality - aliases: - - bqa - dtype: uint16 - nodata: 65535 - units: '1' diff --git a/digitalearthau/config/eo3/products/l1_ls8.odc-product.yaml b/digitalearthau/config/eo3/products/l1_ls8.odc-product.yaml deleted file mode 100644 index 4b327c5f..00000000 --- a/digitalearthau/config/eo3/products/l1_ls8.odc-product.yaml +++ /dev/null @@ -1,90 +0,0 @@ ---- -name: usgs_ls8c_level1_1 -description: United States Geological Survey Landsat 8 Operational Land Imager and Thermal Infra-Red Scanner Level 1 Collection 1 -metadata_type: eo3_landsat_l1 - -license: CC-BY-4.0 - -metadata: - product: - name: usgs_ls8c_level1_1 - properties: - eo:platform: landsat-8 - eo:instrument: OLI_TIRS - odc:product_family: level1 - odc:producer: usgs.gov - landsat:collection_number: 1 - -measurements: - - name: coastal_aerosol - aliases: - - band01 - dtype: uint16 - nodata: 65535 - units: '1' - - name: blue - aliases: - - band02 - dtype: uint16 - nodata: 65535 - units: '1' - - name: green - aliases: - - band03 - dtype: uint16 - nodata: 65535 - units: '1' - - name: red - aliases: - - band04 - dtype: uint16 - nodata: 65535 - units: '1' - - name: nir - aliases: - - band05 - dtype: uint16 - nodata: 65535 - units: '1' - - name: swir_1 - aliases: - - band06 - dtype: uint16 - nodata: 65535 - units: '1' - - name: swir_2 - aliases: - - band07 - dtype: uint16 - nodata: 65535 - units: '1' - - name: panchromatic - aliases: - - band08 - dtype: uint16 - nodata: 65535 - units: '1' - - name: cirrus - aliases: - - band09 - dtype: uint16 - nodata: 65535 - units: '1' - - name: lwir_1 - aliases: - - band10 - dtype: uint16 - nodata: 65535 - units: '1' - - name: lwir_2 - aliases: - - band11 - dtype: uint16 - nodata: 65535 - units: '1' - - name: quality - aliases: - - bqa - dtype: uint16 - nodata: 65535 - units: '1' diff --git a/digitalearthau/config/eo3/products/l1_ls8_ga.odc-product.yaml b/digitalearthau/config/eo3/products/l1_ls8_ga.odc-product.yaml deleted file mode 100644 index 5e6b6203..00000000 --- a/digitalearthau/config/eo3/products/l1_ls8_ga.odc-product.yaml +++ /dev/null @@ -1,90 +0,0 @@ ---- -name: ga_ls8c_level1_3 -description: Geoscience Australia Landsat 8 Operational Land Imager and Thermal Infra-Red Scanner Level 1 Collection 3 -metadata_type: eo3_landsat_l1 - -license: CC-BY-4.0 - -metadata: - product: - name: ga_ls8c_level1_3 - properties: - eo:platform: landsat-8 - eo:instrument: OLI_TIRS - odc:product_family: level1 - odc:producer: ga.gov.au - landsat:collection_number: 1 - -measurements: - - name: coastal_aerosol - aliases: - - band01 - dtype: uint16 - nodata: 65535 - units: '1' - - name: blue - aliases: - - band02 - dtype: uint16 - nodata: 65535 - units: '1' - - name: green - aliases: - - band03 - dtype: uint16 - nodata: 65535 - units: '1' - - name: red - aliases: - - band04 - dtype: uint16 - nodata: 65535 - units: '1' - - name: nir - aliases: - - band05 - dtype: uint16 - nodata: 65535 - units: '1' - - name: swir_1 - aliases: - - band06 - dtype: uint16 - nodata: 65535 - units: '1' - - name: swir_2 - aliases: - - band07 - dtype: uint16 - nodata: 65535 - units: '1' - - name: panchromatic - aliases: - - band08 - dtype: uint16 - nodata: 65535 - units: '1' - - name: cirrus - aliases: - - band09 - dtype: uint16 - nodata: 65535 - units: '1' - - name: lwir_1 - aliases: - - band10 - dtype: uint16 - nodata: 65535 - units: '1' - - name: lwir_2 - aliases: - - band11 - dtype: uint16 - nodata: 65535 - units: '1' - - name: quality - aliases: - - bqa - dtype: uint16 - nodata: 65535 - units: '1' diff --git a/digitalearthau/config/ingestion/ls5_nbar_albers.yaml b/digitalearthau/config/ingestion/ls5_nbar_albers.yaml deleted file mode 100644 index e3c5ce77..00000000 --- a/digitalearthau/config/ingestion/ls5_nbar_albers.yaml +++ /dev/null @@ -1,189 +0,0 @@ -source_type: ls5_nbar_scene -output_type: ls5_nbar_albers -metadata_type: eo - -description: Landsat 5 Surface Reflectance NBAR 25 metre, 100km tile, Australian Albers Equal Area projection (EPSG:3577) - -location: '/g/data/rs0/datacube/002/' -file_path_template: 'LS5_TM_NBAR/{tile_index[0]}_{tile_index[1]}/LS5_TM_NBAR_3577_{tile_index[0]}_{tile_index[1]}_{start_time}_v{version}.nc' -partial_ncml_path_template: 'LS5_TM_NBAR/{tile_index[0]}_{tile_index[1]}/LS5_TM_NBAR_3577_{tile_index[0]}_{tile_index[1]}_{start_time}.ncml' -ncml_path_template: 'LS5_TM_NBAR/LS5_TM_NBAR_3577_{tile_index[0]}_{tile_index[1]}.ncml' - -global_attributes: - title: Surface Reflectance NBAR+ 25 v2 - summary: | - Surface Reflectance (SR) is a suite of Earth Observation (EO) products from GA. The SR product suite provides standardised optical surface reflectance datasets using robust - physical models to correct for variations in image radiance values due to atmospheric properties, and sun and sensor geometry. The resulting stack of surface reflectance - grids are consistent over space and time which is instrumental in identifying and quantifying environmental change. SR is based on radiance data from the Landsat TM/ETM+ - and OLI sensors. - - The standardised SR data products deliver calibrated optical surface reflectance data across land and coastal fringes. SR is a medium resolution (~25 m) grid based on the - Landsat TM/ETM+/OLI archive and presents surface reflectance data in 25 square metre grid cells. - - Radiance measurements from EO sensors do not directly quantify the surface reflectance of the Earth. Such measurements are modified by variations in atmospheric - properties, sun position, sensor view angle, surface slope and surface aspect. To obtain consistent and comparable measures of Earth surface reflectance from EO, - these variations need to be reduced or removed from the radiance measurements (Li et al., 2010). This is especially important when comparing imagery acquired in - different seasons and geographic regions. - - The SR product is created using a physics-based, coupled BRDF and atmospheric correction model that can be applied to both flat and inclined surfaces (Li et al., 2012). - The resulting surface reflectance values are comparable both within individual images and between images acquired at different times and/or with different sensors. - This product does not include terrain illumination reflectance correction (see SR-NT_25). - - Landsat Archive - - GA has acquired Landsat imagery over Australia since 1979, including TM, ETM+ and OLI imagery. While this data has been used extensively for numerous - land and coastal mapping studies, its utility for accurate monitoring of environmental resources has been limited by the processing methods that have been traditionally - used to correct for inherent geometric and radiometric distortions in EO imagery. To improve access to Australia s archive of Landsat TM/ETM+/OLI data, several - collaborative projects have been undertaken in conjunction with industry, government and academic partners. These projects have enabled implementation of a - more integrated approach to image data correction that incorporates normalising models to account for atmospheric effects, BRDF and topographic shading (Li et al., 2012). - The approach has been applied to Landsat TM/ETM+ and OLI imagery to create the SR products. The advanced supercomputing facilities provided by the National - Computational Infrastructure (NCI) at the Australian National University (ANU) have been instrumental in handling the considerable data volumes and processing - complexities involved with production of this product. - - Surface Reflectance Correction Models - - Image radiance values recorded by passive EO sensors are a composite of - - surface reflectance; - - atmospheric condition; - - interaction between surface land cover, solar radiation and sensor view angle; - - land surface orientation relative to the imaging sensor. - - It has been traditionally assumed that Landsat imagery display negligible variation in sun and sensor view angles, however these can vary significantly both within - and between scenes, especially in different seasons and geographic regions (Li et al., 2012). The SR product delivers modeled surface reflectance from Landsat TM/ETM+/OLI - data using physical rather than empirical models. Accordingly, this product will ensure that reflective value differences between imagery acquired at different times by - different sensors will be primarily due to on-ground changes in biophysical parameters rather than artifacts of the imaging environment. - - Integrated Time Series Data - - Once consistent and comparable measures of surface reflectance have been retrieved from EO data, it is possible to quantify changes - in Earth surface features through time. - - Given the growing time series of EO imagery, this landmark facility will streamline the process of reliably monitoring long-term chnges in land and water resources. - comment: | - - Ground Control Points (GCP): new GCP chips released by USGS in Dec 2015 are used for re-processing - - Geometric QA: each product undergoes geometric assessment and the assessment result will be recorded within v2 AGDC for filtering/masking purposes. - - Processing parameter settings: the minimum number of GCPs for Ortho-rectified product generation has been reduced from 30 to 10. - - DEM: 1 second SRTM DSM is used for Ortho-rectification. - - Updated Calibration Parameter File (CPF): the latest/current CPF is used for processing. - institution: Commonwealth of Australia (Geoscience Australia) - instrument: TM - keywords: AU/GA,NASA/GSFC/SED/ESD/LANDSAT,REFLECTANCE,ETM+,TM,OLI,EARTH SCIENCE - keywords_vocabulary: GCMD - platform: LANDSAT-5 - publisher_email: earth.observation@ga.gov.au - publisher_name: Section Leader, Operations Section, NEMO, Geoscience Australia - publisher_url: 'http://www.ga.gov.au' - source: remotely observed surface reflectance - license: CC BY Attribution 4.0 International License - cdm_data_type: Grid - product_suite: Surface Reflectance NBAR 25m - acknowledgment: Landsat data is provided by the United States Geological Survey (USGS) through direct reception of the data at Geoscience Australias satellite reception facility or download. - references: | - - Berk, A., Anderson, G.P., Acharya, P.K., Hoke, M.L., Chetwynd, J.H., Bernstein, L.S., Shettle, E.P., Matthew, M.W., and Adler-Golden, S.M. (2003) Modtran 4 Version 3 Revision 1 User s manual. Airforce Research Laboratory, Hanscom, MA, USA. - - Chander, G., Markham, B.L., and Helder, D.L. (2009) Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI sensors. Remote Sensing of Environment 113, 893-903. - - Edberg, R., and Oliver, S. (2013) Projection-Independent Earth-Solar-Sensor Geometry for Surface Reflectance Correction. Submitted to IGARSS 2013, Melbourne. - - GA and CSIRO (2010) 1 second SRTM Derived Digital Elevation Models User Guide. Version 1.03. GA, Canberra. - - Forrest, R.B. (1981) Simulation of orbital image-sensor geometry, Photogrammetric Engineering and Remote Sensing 47, 1187-93. - - Irish, R. (2000) Landsat 7 Automatic Cloud Cover Assessment, sourced: http://landsathandbook.gsfc.nasa.gov/pdfs/ACCA_SPIE_paper.pdf, last accessed 12/11/2012. - - Irish, R.R., Barker, J.L., Goward, S.N., Arvidson, T. (2006) Characterization of the Landsat-7 ETM+ Automated Cloud -Cover Assessment (ACCA) Algorithm, Photogrammetric Engineering & Remote Sensing 72 (10), 1179-88. - - Irons, J.R., Dwyer, J.L., and Barsi, J.A. (2012) The next Landsat satellite: The Landsat Data Continuity Mission. Remote Sensing of Environment (2012), doi:10.1016/j.rse.2011.08.026. - - Kalnay, E. Kanamitsu, M., Kistler, R., Collins, W., Deaven, D., Gandin, L., Iredell, M., Saha, S., White, G., Woollen, J., Zhu, Y., Chelliah, M., Ebisuzaki, W., Higgins, W., Janowiak, J., Mo, K.C., Ropelewski, C., Wang, J., Leetmaa, A., Reynolds, R. Jenne, R., Joseph, D. (1996) The NCEP/NCAR 40-Year Reanalysis Project. Bulletin of the American Meteorological Society 77, 437-71. - - Li, F., Jupp, D.L.B., Reddy, S., Lymburner, L., Mueller, N., Tan, P., and Islam, A. (2010) An Evaluation of the Use of Atmospheric and BRDF Correction to Standardize Landsat Data. IEEE J. Selected Topics in Applied Earth Observations and Remote Sensing 3, 257-70. - - Li, F. (2010) ARG25 Algorithm Theoretical Basis Document. GA, Canberra. - - Li, F., Jupp, D.L.B., Thankappan, M., Lymburner, L., Mueller, N., Lewis, A., and Held, A. (2012) A physics-based atmopheric and BRDF correction for Landsat data over mountainous terrain. Remote Sensing of Environment 124, 756-70. - - Lubke, M. (2012) Landsat Geometry Calibration/Validation Update. Presentation at LTWG #21, 25 September 2012, Sioux Falls. USGS, USA. - - OGC (2006) OpenGIS Web Map Server Implementation Specification (Ed: Jeff de la Beaujardiere) Ref. OGC 06-042. - - OGC (2010) OGC WCS 2.0 Interface Standard - Core. (Ed: Peter Baumann) Ref. OGC 09-110r3. - - OGC (2013) CF-netCDF3 Data Model Extension Standard (Eds: Ben Domenico and Stefano Nativi) Ref. OGC 11-165r2. - - Strahler, A.H., and Muller, J.-P. (1999) MODIS BRDF/Albedo Product: Algorithm Theoretical Basis Document Version 5.0. http://modis.gsfc.nasa.gov/data/atbd/atbd_mod09.pdf - - TM World Borders vector file: http://thematicmapping.org/downloads/world_borders.php. - - USGS (2012a) Landsat Thematic Mapper (TM) Level 1 (L1) Data Format Control Book (DFCB). LS-DFCB-20 Version 4.0. USGS, USA. http://landsat.usgs.gov/documents/LS-DFCB-20.pdf. - - USGS (2012b) Landsat 7 ETM+ Level 1 Product Data Format Control Book (DFCB). LS-DFCB-04 Version 15.0. http://landsat.usgs.gov/documents/LS-DFCB-04.pdf. - - Vincenty, T. (1975) Direct and Inverse Solutions of Geodesies on the Ellipsoid with Application of Nested Equations. Survey Review 23, 88-93. - - Zhu, Z. and Woodcock, C. E. (2012) Object-based cloud and cloud shadow detection in Landsat imagery. Remote Sensing of Environment 118, 83-94. - - http://dx.doi.org/10.4225/25/5487CC0D4F40B - - http://dx.doi.org/10.1109/JSTARS.2010.2042281 - -storage: - driver: NetCDF CF - - crs: EPSG:3577 - tile_size: - x: 100000.0 - y: 100000.0 - resolution: - x: 25 - y: -25 - chunking: - x: 200 - y: 200 - time: 5 - dimension_order: ['time', 'y', 'x'] - -measurements: - - name: blue - dtype: int16 - nodata: -999 - resampling_method: nearest - src_varname: '1' - zlib: True - fletcher32: True - attrs: - long_name: "Nadir BRDF Adjusted Reflectance 0.45-0.52 microns (Blue)" - alias: "band_1" - coverage_content_type: physicalMeasurement - - name: green - dtype: int16 - nodata: -999 - resampling_method: nearest - src_varname: '2' - zlib: True - fletcher32: True - attrs: - long_name: "Nadir BRDF Adjusted Reflectance 0.52-0.60 microns (Green)" - alias: "band_2" - coverage_content_type: physicalMeasurement - - name: red - dtype: int16 - nodata: -999 - resampling_method: nearest - src_varname: '3' - zlib: True - fletcher32: True - attrs: - long_name: "Nadir BRDF Adjusted Reflectance 0.63-0.69 microns (Red)" - alias: "band_3" - coverage_content_type: physicalMeasurement - - name: nir - dtype: int16 - nodata: -999 - resampling_method: nearest - src_varname: '4' - zlib: True - fletcher32: True - attrs: - long_name: "Nadir BRDF Adjusted Reflectance 0.76-0.90 microns (Near Infrared)" - alias: "band_4" - coverage_content_type: physicalMeasurement - - name: swir1 - dtype: int16 - nodata: -999 - resampling_method: nearest - src_varname: '5' - zlib: True - fletcher32: True - attrs: - long_name: "Nadir BRDF Adjusted Reflectance 1.55-1.75 microns (Short-wave Infrared)" - alias: "band_5" - coverage_content_type: physicalMeasurement - - name: swir2 - dtype: int16 - nodata: -999 - resampling_method: nearest - src_varname: '7' - zlib: True - fletcher32: True - attrs: - long_name: "Nadir BRDF Adjusted Reflectance 2.08-2.35 microns (Short-wave Infrared)" - alias: "band_7" - coverage_content_type: physicalMeasurement diff --git a/digitalearthau/config/ingestion/ls5_nbart_albers.yaml b/digitalearthau/config/ingestion/ls5_nbart_albers.yaml deleted file mode 100644 index b7463345..00000000 --- a/digitalearthau/config/ingestion/ls5_nbart_albers.yaml +++ /dev/null @@ -1,195 +0,0 @@ -source_type: ls5_nbart_scene -output_type: ls5_nbart_albers -metadata_type: eo - -description: Landsat 5 Surface Reflectance NBART 25 metre, 100km tile, Australian Albers Equal Area projection (EPSG:3577) - -location: '/g/data/rs0/datacube/002/' -file_path_template: 'LS5_TM_NBART/{tile_index[0]}_{tile_index[1]}/LS5_TM_NBART_3577_{tile_index[0]}_{tile_index[1]}_{start_time}_v{version}.nc' -partial_ncml_path_template: 'LS5_TM_NBART/{tile_index[0]}_{tile_index[1]}/LS5_TM_NBART_3577_{tile_index[0]}_{tile_index[1]}_{start_time}.ncml' -ncml_path_template: 'LS5_TM_NBART/LS5_TM_NBART_3577_{tile_index[0]}_{tile_index[1]}.ncml' - -global_attributes: - title: Surface Reflectance NBAR+T 25 v2 - summary: | - Surface Reflectance (SR) is a suite of Earth Observation (EO) products from GA. The SR product suite provides standardised optical surface reflectance datasets using robust - physical models to correct for variations in image radiance values due to atmospheric properties, and sun and sensor geometry. The resulting stack of surface reflectance - grids are consistent over space and time which is instrumental in identifying and quantifying environmental change. SR is based on radiance data from the Landsat TM/ETM+ - and OLI sensors. - - The standardised SR data products deliver calibrated optical surface reflectance data across land and coastal fringes. SR is a medium resolution (~25 m) grid based on the - Landsat TM/ETM+/OLI archive and presents surface reflectance data in 25 square metre grid cells. - - Radiance measurements from EO sensors do not directly quantify the surface reflectance of the Earth. Such measurements are modified by variations in atmospheric - properties, sun position, sensor view angle, surface slope and surface aspect. To obtain consistent and comparable measures of Earth surface reflectance from EO, - these variations need to be reduced or removed from the radiance measurements (Li et al., 2010). This is especially important when comparing imagery acquired in - different seasons and geographic regions. - - The SR product is created using a physics-based coupled BRDF and atmospheric correction model that can be applied to both flat and inclined surfaces (Li et al., 2012). - The resulting surface reflectance values are comparable both within individual images and between images acquired at different times and/or with different sensors. - Terrain affects optical satellite images through both irradiance and bidirectional reflectance distribution function (BRDF) effects. Slopes facing the sun receive enhanced - solar irradiance and appear brighter compared to those facing away from the sun. For anisotropic surfaces, the radiance received at the satellite sensor from a sloping - surface is also affected by surface BRDF which varies with combinations of surface landcover types, sun, and satellite geometry (sun and sensor view, and their relative - azimuth angle) as well as topographic geometry (primarily slope and aspect angles). Consequently, to obtain comparable surface reflectance from satellite images covering - mountainous areas, it is necessary to process the images to reduce or remove the topographic effect so that the images can be used for different purposes on the same - spectral base. A Digital Surface Model (DSM) resolution appropriate to the scale of the resolution of satellite image is needed for the best results. 1 second SRTM DSM is - used for NBART processing. - - Landsat Archive - - GA has acquired Landsat imagery over Australia since 1979, including TM, ETM+ and OLI imagery. While this data has been used extensively for numerous - land and coastal mapping studies, its utility for accurate monitoring of environmental resources has been limited by the processing methods that have been traditionally - used to correct for inherent geometric and radiometric distortions in EO imagery. To improve access to Australia s archive of Landsat TM/ETM+/OLI data, several - collaborative projects have been undertaken in conjunction with industry, government and academic partners. These projects have enabled implementation of a - more integrated approach to image data correction that incorporates normalising models to account for atmospheric effects, BRDF and topographic shading (Li et al., 2012). - The approach has been applied to Landsat TM/ETM+ and OLI imagery to create the SR products. The advanced supercomputing facilities provided by the National - Computational Infrastructure (NCI) at the Australian National University (ANU) have been instrumental in handling the considerable data volumes and processing - complexities involved with production of this product. - - Surface Reflectance Correction Models - - Image radiance values recorded by passive EO sensors are a composite of - - surface reflectance; - - atmospheric condition; - - interaction between surface land cover, solar radiation and sensor view angle; - - land surface orientation relative to the imaging sensor. - - It has been traditionally assumed that Landsat imagery display negligible variation in sun and sensor view angles, however these can vary significantly both within - and between scenes, especially in different seasons and geographic regions (Li et al., 2012). The SR product delivers modeled surface reflectance from Landsat TM/ETM+/OLI - data using physical rather than empirical models. Accordingly, this product will ensure that reflective value differences between imagery acquired at different times by - different sensors will be primarily due to on-ground changes in biophysical parameters rather than artifacts of the imaging environment. - - Integrated Time Series Data - - Once consistent and comparable measures of surface reflectance have been retrieved from EO data, it is possible to quantify changes - in Earth surface features through time. - - Given the growing time series of EO imagery, this landmark facility will streamline the process of reliably monitoring long-term chnges in land and water resources. - comment: | - - Ground Control Points (GCP): new GCP chips released by USGS in Dec 2015 are used for re-processing - - Geometric QA: each product undergoes geometric assessment and the assessment result will be recorded within v2 AGDC for filtering/masking purposes. - - Processing parameter settings: the minimum number of GCPs for Ortho-rectified product generation has been reduced from 30 to 10. - - DEM: 1 second SRTM DSM is used for Ortho-rectification. - - Updated Calibration Parameter File (CPF): the latest/current CPF is used for processing. - institution: Commonwealth of Australia (Geoscience Australia) - instrument: TM - keywords: AU/GA,NASA/GSFC/SED/ESD/LANDSAT,REFLECTANCE,ETM+,TM,OLI,EARTH SCIENCE - keywords_vocabulary: GCMD - platform: LANDSAT-5 - publisher_email: earth.observation@ga.gov.au - publisher_name: Section Leader, Operations Section, NEMO, Geoscience Australia - publisher_url: 'http://www.ga.gov.au' - source: remotely observed surface reflectance - license: CC BY Attribution 4.0 International License - cdm_data_type: Grid - product_suite: Surface Reflectance NBAR+T 25m - acknowledgment: Landsat data is provided by the United States Geological Survey (USGS) through direct reception of the data at Geoscience Australias satellite reception facility or download. - references: | - - Berk, A., Anderson, G.P., Acharya, P.K., Hoke, M.L., Chetwynd, J.H., Bernstein, L.S., Shettle, E.P., Matthew, M.W., and Adler-Golden, S.M. (2003) Modtran 4 Version 3 Revision 1 User s manual. Airforce Research Laboratory, Hanscom, MA, USA. - - Chander, G., Markham, B.L., and Helder, D.L. (2009) Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI sensors. Remote Sensing of Environment 113, 893-903. - - Edberg, R., and Oliver, S. (2013) Projection-Independent Earth-Solar-Sensor Geometry for Surface Reflectance Correction. Submitted to IGARSS 2013, Melbourne. - - GA and CSIRO (2010) 1 second SRTM Derived Digital Elevation Models User Guide. Version 1.03. GA, Canberra. - - Forrest, R.B. (1981) Simulation of orbital image-sensor geometry, Photogrammetric Engineering and Remote Sensing 47, 1187-93. - - Irish, R. (2000) Landsat 7 Automatic Cloud Cover Assessment, sourced: http://landsathandbook.gsfc.nasa.gov/pdfs/ACCA_SPIE_paper.pdf, last accessed 12/11/2012. - - Irish, R.R., Barker, J.L., Goward, S.N., Arvidson, T. (2006) Characterization of the Landsat-7 ETM+ Automated Cloud -Cover Assessment (ACCA) Algorithm, Photogrammetric Engineering & Remote Sensing 72 (10), 1179-88. - - Irons, J.R., Dwyer, J.L., and Barsi, J.A. (2012) The next Landsat satellite: The Landsat Data Continuity Mission. Remote Sensing of Environment (2012), doi:10.1016/j.rse.2011.08.026. - - Kalnay, E. Kanamitsu, M., Kistler, R., Collins, W., Deaven, D., Gandin, L., Iredell, M., Saha, S., White, G., Woollen, J., Zhu, Y., Chelliah, M., Ebisuzaki, W., Higgins, W., Janowiak, J., Mo, K.C., Ropelewski, C., Wang, J., Leetmaa, A., Reynolds, R. Jenne, R., Joseph, D. (1996) The NCEP/NCAR 40-Year Reanalysis Project. Bulletin of the American Meteorological Society 77, 437-71. - - Li, F., Jupp, D.L.B., Reddy, S., Lymburner, L., Mueller, N., Tan, P., and Islam, A. (2010) An Evaluation of the Use of Atmospheric and BRDF Correction to Standardize Landsat Data. IEEE J. Selected Topics in Applied Earth Observations and Remote Sensing 3, 257-70. - - Li, F. (2010) ARG25 Algorithm Theoretical Basis Document. GA, Canberra. - - Li, F., Jupp, D.L.B., Thankappan, M., Lymburner, L., Mueller, N., Lewis, A., and Held, A. (2012) A physics-based atmopheric and BRDF correction for Landsat data over mountainous terrain. Remote Sensing of Environment 124, 756-70. - - Lubke, M. (2012) Landsat Geometry Calibration/Validation Update. Presentation at LTWG #21, 25 September 2012, Sioux Falls. USGS, USA. - - OGC (2006) OpenGIS Web Map Server Implementation Specification (Ed: Jeff de la Beaujardiere) Ref. OGC 06-042. - - OGC (2010) OGC WCS 2.0 Interface Standard - Core. (Ed: Peter Baumann) Ref. OGC 09-110r3. - - OGC (2013) CF-netCDF3 Data Model Extension Standard (Eds: Ben Domenico and Stefano Nativi) Ref. OGC 11-165r2. - - Strahler, A.H., and Muller, J.-P. (1999) MODIS BRDF/Albedo Product: Algorithm Theoretical Basis Document Version 5.0. http://modis.gsfc.nasa.gov/data/atbd/atbd_mod09.pdf - - TM World Borders vector file: http://thematicmapping.org/downloads/world_borders.php. - - USGS (2012a) Landsat Thematic Mapper (TM) Level 1 (L1) Data Format Control Book (DFCB). LS-DFCB-20 Version 4.0. USGS, USA. http://landsat.usgs.gov/documents/LS-DFCB-20.pdf. - - USGS (2012b) Landsat 7 ETM+ Level 1 Product Data Format Control Book (DFCB). LS-DFCB-04 Version 15.0. http://landsat.usgs.gov/documents/LS-DFCB-04.pdf. - - Vincenty, T. (1975) Direct and Inverse Solutions of Geodesies on the Ellipsoid with Application of Nested Equations. Survey Review 23, 88-93. - - Zhu, Z. and Woodcock, C. E. (2012) Object-based cloud and cloud shadow detection in Landsat imagery. Remote Sensing of Environment 118, 83-94. - - http://dx.doi.org/10.4225/25/5487CC0D4F40B - - http://dx.doi.org/10.1109/JSTARS.2010.2042281 - -storage: - driver: NetCDF CF - - crs: EPSG:3577 - tile_size: - x: 100000.0 - y: 100000.0 - resolution: - x: 25 - y: -25 - chunking: - x: 200 - y: 200 - time: 5 - dimension_order: ['time', 'y', 'x'] - -measurements: - - name: blue - dtype: int16 - nodata: -999 - resampling_method: nearest - src_varname: '1' - zlib: True - fletcher32: True - attrs: - long_name: "Nadir BRDF and Terrain Illumination Adjusted Reflectance 0.45-0.52 microns (Blue)" - alias: "band_1" - coverage_content_type: physicalMeasurement - - name: green - dtype: int16 - nodata: -999 - resampling_method: nearest - src_varname: '2' - zlib: True - fletcher32: True - attrs: - long_name: "Nadir BRDF and Terrain Illumination Adjusted Reflectance 0.52-0.60 microns (Green)" - alias: "band_2" - coverage_content_type: physicalMeasurement - - name: red - dtype: int16 - nodata: -999 - resampling_method: nearest - src_varname: '3' - zlib: True - fletcher32: True - attrs: - long_name: "Nadir BRDF and Terrain Illumination Adjusted Reflectance 0.63-0.69 microns (Red)" - alias: "band_3" - coverage_content_type: physicalMeasurement - - name: nir - dtype: int16 - nodata: -999 - resampling_method: nearest - src_varname: '4' - zlib: True - fletcher32: True - attrs: - long_name: "Nadir BRDF and Terrain Illumination Adjusted Reflectance 0.76-0.90 microns (Near Infrared)" - alias: "band_4" - coverage_content_type: physicalMeasurement - - name: swir1 - dtype: int16 - nodata: -999 - resampling_method: nearest - src_varname: '5' - zlib: True - fletcher32: True - attrs: - long_name: "Nadir BRDF and Terrain Illumination Adjusted Reflectance 1.55-1.75 microns (Short-wave Infrared)" - alias: "band_5" - coverage_content_type: physicalMeasurement - - name: swir2 - dtype: int16 - nodata: -999 - resampling_method: nearest - src_varname: '7' - zlib: True - fletcher32: True - attrs: - long_name: "Nadir BRDF and Terrain Illumination Adjusted Reflectance 2.08-2.35 microns (Short-wave Infrared)" - alias: "band_7" - coverage_content_type: physicalMeasurement diff --git a/digitalearthau/config/ingestion/ls5_pq_albers.yaml b/digitalearthau/config/ingestion/ls5_pq_albers.yaml deleted file mode 100644 index b739135f..00000000 --- a/digitalearthau/config/ingestion/ls5_pq_albers.yaml +++ /dev/null @@ -1,118 +0,0 @@ -source_type: ls5_pq_scene -output_type: ls5_pq_albers -metadata_type: eo - -description: Landsat 5 Pixel Quality 25 metre, 100km tile, Australian Albers Equal Area projection (EPSG:3577) - -location: '/g/data/rs0/datacube/002/' -file_path_template: 'LS5_TM_PQ/{tile_index[0]}_{tile_index[1]}/LS5_TM_PQ_3577_{tile_index[0]}_{tile_index[1]}_{start_time}_v{version}.nc' -partial_ncml_path_template: 'LS5_TM_PQ/{tile_index[0]}_{tile_index[1]}/LS5_TM_PQ_3577_{tile_index[0]}_{tile_index[1]}_{start_time}.ncml' -ncml_path_template: 'LS5_TM_PQ/LS5_TM_PQ_3577_{tile_index[0]}_{tile_index[1]}.ncml' - -global_attributes: - title: Pixel Quality 25 v2 - summary: | - The PQ25 product facilitates interpretation and processing of Surface Reflectance (SR-N/NT), Fractional Cover 25 (FC25) - and derivative products. - - PQ25 is an assessment of each image pixel to determine if it is an unobscured, unsaturated observation - of the Earth surface and also whether the pixel is represented in each spectral band. The PQ product allows - users to produce masks which can be used to exclude pixels which do not meet their quality criteria from analysis . - The capacity to automatically exclude such pixels is essential for emerging multi-temporal analysis techniques that - make use of every quality assured pixel within a time series of observations.\nUsers can choose to process only land pixels, - or only sea pixels depending on their analytical requirements, leading to enhanced computationally efficient. - - PQ provides an assessment of the quality of observations at a pixel level and includes information about: - - Spectral Contiguity (lack of signal in any band) - - Saturation in any band - - Presence of cloud - - Presence of cloud shadow - - Land or sea - - As Landsat Imagery becomes more readily available, there has been a rapid increase in the amount of analyses undertaken - by researchers around the globe. Most researchers use some form of quality masking schema in order to remove undesirable - pixels from analysis, whether that be cloud, cloud shadow, observations over the ocean, or saturated pixels. In the past, - researchers would reject partly cloud-affected scenes in favour of cloud-free scenes. However, Landsat time series analysis - using all cloud-free pixels has become a valuable technique and has increased the demand for automation of cloud, cloud - shadow and saturation detection. Emergency response applications such as flood mapping typically have to contend with - individual cloud affected scenes and therefore rely on effective cloud and cloud shadow removal techniques. - - The PQ25 product combines established algorithms that detect clouds including the Automated Cloud Cover Assessment - (ACCA) (Irish et al. 2006) and Function of mask (Fmask) (Zhu and Woodcock 2012) . ACCA is already widely used within the - remote sensing community; it is fast and relatively accurate. Fmask on the other hand is newer, but is rapidly becoming - more established, and can provide a more accurate cloud mask than ACCA in certain cloud environments. - - The sensor saturation flagging protocols developed for the Web Enabled Landsat Data (WELD) product as described - in Roy et al. (2011) are used to flag sensor saturation.\nThe PQ25 product has similarities to the QAB layer packaged - with OLI data, however it uses additional algorithms to detect cloud and cloud shadow, and is available for Landsat 5, 7 and 8. - comment: | - - Ground Control Points (GCP): new GCP chips released by USGS in Dec 2015 are used for re-processing - - Geometric QA: each product undergoes geometric assessment and the assessment result will be recorded within v2 AGDC for filtering/masking purposes. - - Processing parameter settings: the minimum number of GCPs for Ortho-rectified product generation has been reduced from 30 to 10. - - DEM: 1 second SRTM DSM is used for Ortho-rectification. - - Updated Calibration Parameter File (CPF): the latest/current CPF is used for processing. - institution: Commonwealth of Australia (Geoscience Australia) - instrument: TM - keywords: AU/GA,NASA/GSFC/SED/ESD/LANDSAT,ETM+,TM,OLI,EARTH SCIENCE - keywords_vocabulary: GCMD - platform: LANDSAT-5 - publisher_email: earth.observation@ga.gov.au - publisher_name: Section Leader, Operations Section, NEMO, Geoscience Australia - publisher_url: http://www.ga.gov.au - source: remotely observed surface reflectance and modelled cloud/shadow - license: CC BY Attribution 4.0 International License - cdm_data_type: Grid - product_suite: Pixel Quality 25m - acknowledgment: Landsat data is provided by the United States Geological Survey (USGS) through direct reception of the data at Geoscience Australias satellite reception facility or download. - references: | - - Berk, A., Anderson, G.P., Acharya, P.K., Hoke, M.L., Chetwynd, J.H., Bernstein, L.S., Shettle, E.P., Matthew, M.W., and Adler-Golden, S.M. (2003) Modtran 4 Version 3 Revision 1 User s manual. Airforce Research Laboratory, Hanscom, MA, USA. - - Chander, G., Markham, B.L., and Helder, D.L. (2009) Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI sensors. Remote Sensing of Environment 113, 893-903. - - Edberg, R., and Oliver, S. (2013) Projection-Independent Earth-Solar-Sensor Geometry for Surface Reflectance Correction. Submitted to IGARSS 2013, Melbourne. - - Forrest, R.B. (1981) Simulation of orbital image-sensor geometry, Photogrammetric Engineering and Remote Sensing 47, 1187-93. - - GA and CSIRO (2010) 1 second SRTM Derived Digital Elevation Models User Guide. Version 1.03. GA, Canberra. - - Irish, R. (2000) Landsat 7 Automatic Cloud Cover Assessment, sourced: http://landsathandbook.gsfc.nasa.gov/pdfs/ACCA_SPIE_paper.pdf, last accessed 12/11/2012. - - Irons, J.R., Dwyer, J.L., and Barsi, J.A. (2012) The next Landsat satellite: The Landsat Data Continuity Mission. Remote Sensing of Environment (2012), doi:10.1016/j.rse.2011.08.026 - - Kalnay, E. Kanamitsu, M., Kistler, R., Collins, W., Deaven, D., Gandin, L., Iredell, M., Saha, S., White, G., Woollen, J., Zhu, Y., Chelliah, M., Ebisuzaki, W., Higgins, W., Janowiak, J., Mo, K.C., Ropelewski, C., Wang, J., Leetmaa, A., Reynolds, R. Jenne, R., Joseph, D. (1996) The NCEP/NCAR 40-Year Reanalysis Project. Bulletin of the American Meteorological Society 77, 437-71. - - Li, F., Jupp, D.L.B., Reddy, S., Lymburner, L., Mueller, N., Tan, P., and Islam, A. (2010) An Evaluation of the Use of Atmospheric and BRDF Correction to Standardize Landsat Data. IEEE J. Selected Topics in Applied Earth Observations and Remote Sensing 3, 257-70.;Li, F. (2010) ARG25 Algorithm Theoretical Basis Document. GA, Canberra. - - Li, F., Jupp, D.L.B., Thankappan, M., Lymburner, L., Mueller, N., Lewis, A., and Held, A. (2012) A physics-based atmopheric and BRDF correction for Landsat data over mountainous terrain. Remote Sensing of Environment 124, 756-70. - - Lubke, M. (2012) Landsat Geometry Calibration/Validation Update. Presentation at LTWG #21, 25 September 2012, Sioux Falls. USGS, USA. - - OGC (2006) OpenGIS Web Map Server Implementation Specification (Ed: Jeff de la Beaujardiere) Ref. OGC 06-042. - - OGC (2010) OGC WCS 2.0 Interface Standard - Core. (Ed: Peter Baumann) Ref. OGC 09-110r3. - - OGC (2013) CF-netCDF3 Data Model Extension Standard (Eds: Ben Domenico and Stefano Nativi) Ref. OGC 11-165r2. - - Roy, D.P., Ju, J., Kline, K., Scaramuzza, P.L., Kovalskyy, V., Hansen, M., Loveland, T.R., Vermote, E., & Zhang, C. (2010). Web-enabled Landsat Data (WELD): Landsat ETM+ composited mosaics of the conterminous United States. Remote Sensing of Environment, 114, 35-49. - - Sixsmith, J., Oliver, S., & Lymburner, L. (2013). A hybrid approach to automated Landsat pixel quality. In, Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International (pp. 4146-4149). - - Strahler, A.H., and Muller, J.-P. (1999) MODIS BRDF/Albedo Product: Algorithm Theoretical Basis Document Version 5.0. http://modis.gsfc.nasa.gov/data/atbd/atbd_mod09.pdf - - TM World Borders vector file: http://thematicmapping.org/downloads/world_borders.php - - USGS (2012a) Landsat Thematic Mapper (TM) Level 1 (L1) Data Format Control Book (DFCB). LS-DFCB-20 Version 4.0. USGS, USA. http://landsat.usgs.gov/documents/LS-DFCB-20.pdf - - USGS (2012b) Landsat 7 ETM+ Level 1 Product Data Format Control Book (DFCB). LS-DFCB-04 Version 15.0. http://landsat.usgs.gov/documents/LS-DFCB-04.pdf - - Vincenty, T. (1975) Direct and Inverse Solutions of Geodesies on the Ellipsoid with Application of Nested Equations. Survey Review 23, 88-93. - - Zhu, Z. and Woodcock, C. E. (2012) Object-based cloud and cloud shadow detection in Landsat imagery. Remote Sensing of Environment 118, 83-94. - - http://dx.doi.org/10.4225/25/55EF55788BAC1 - -storage: - driver: NetCDF CF - - crs: EPSG:3577 - tile_size: - x: 100000.0 - y: 100000.0 - resolution: - x: 25 - y: -25 - chunking: - x: 200 - y: 200 - time: 5 - dimension_order: ['time', 'y', 'x'] - -measurements: - - name: pixelquality - dtype: int16 - nodata: 0 - resampling_method: nearest - src_varname: pqa - zlib: True - fletcher32: True - attrs: - standard_name: surface_bidirectional_reflectance status_flag - coverage_content_type: qualityInformation diff --git a/digitalearthau/config/ingestion/ls7_nbar_albers.yaml b/digitalearthau/config/ingestion/ls7_nbar_albers.yaml deleted file mode 100644 index 27812ac4..00000000 --- a/digitalearthau/config/ingestion/ls7_nbar_albers.yaml +++ /dev/null @@ -1,189 +0,0 @@ -source_type: ls7_nbar_scene -output_type: ls7_nbar_albers -metadata_type: eo - -description: Landsat 7 Surface Reflectance NBAR 25 metre, 100km tile, Australian Albers Equal Area projection (EPSG:3577) - -location: '/g/data/rs0/datacube/002/' -file_path_template: 'LS7_ETM_NBAR/{tile_index[0]}_{tile_index[1]}/LS7_ETM_NBAR_3577_{tile_index[0]}_{tile_index[1]}_{start_time}_v{version}.nc' -partial_ncml_path_template: 'LS7_ETM_NBAR/{tile_index[0]}_{tile_index[1]}/LS7_ETM_NBAR_3577_{tile_index[0]}_{tile_index[1]}_{start_time}.ncml' -ncml_path_template: 'LS7_ETM_NBAR/LS7_ETM_NBAR_3577_{tile_index[0]}_{tile_index[1]}.ncml' - -global_attributes: - title: Surface Reflectance NBAR+ 25 v2 - summary: | - Surface Reflectance (SR) is a suite of Earth Observation (EO) products from GA. The SR product suite provides standardised optical surface reflectance datasets using robust - physical models to correct for variations in image radiance values due to atmospheric properties, and sun and sensor geometry. The resulting stack of surface reflectance - grids are consistent over space and time which is instrumental in identifying and quantifying environmental change. SR is based on radiance data from the Landsat TM/ETM+ - and OLI sensors. - - The standardised SR data products deliver calibrated optical surface reflectance data across land and coastal fringes. SR is a medium resolution (~25 m) grid based on the - Landsat TM/ETM+/OLI archive and presents surface reflectance data in 25 square metre grid cells. - - Radiance measurements from EO sensors do not directly quantify the surface reflectance of the Earth. Such measurements are modified by variations in atmospheric - properties, sun position, sensor view angle, surface slope and surface aspect. To obtain consistent and comparable measures of Earth surface reflectance from EO, - these variations need to be reduced or removed from the radiance measurements (Li et al., 2010). This is especially important when comparing imagery acquired in - different seasons and geographic regions. - - The SR product is created using a physics-based, coupled BRDF and atmospheric correction model that can be applied to both flat and inclined surfaces (Li et al., 2012). - The resulting surface reflectance values are comparable both within individual images and between images acquired at different times and/or with different sensors. - This product does not include terrain illumination reflectance correction (see SR-NT_25). - - Landsat Archive - - GA has acquired Landsat imagery over Australia since 1979, including TM, ETM+ and OLI imagery. While this data has been used extensively for numerous - land and coastal mapping studies, its utility for accurate monitoring of environmental resources has been limited by the processing methods that have been traditionally - used to correct for inherent geometric and radiometric distortions in EO imagery. To improve access to Australia s archive of Landsat TM/ETM+/OLI data, several - collaborative projects have been undertaken in conjunction with industry, government and academic partners. These projects have enabled implementation of a - more integrated approach to image data correction that incorporates normalising models to account for atmospheric effects, BRDF and topographic shading (Li et al., 2012). - The approach has been applied to Landsat TM/ETM+ and OLI imagery to create the SR products. The advanced supercomputing facilities provided by the National - Computational Infrastructure (NCI) at the Australian National University (ANU) have been instrumental in handling the considerable data volumes and processing - complexities involved with production of this product. - - Surface Reflectance Correction Models - - Image radiance values recorded by passive EO sensors are a composite of - - surface reflectance; - - atmospheric condition; - - interaction between surface land cover, solar radiation and sensor view angle; - - land surface orientation relative to the imaging sensor. - - It has been traditionally assumed that Landsat imagery display negligible variation in sun and sensor view angles, however these can vary significantly both within - and between scenes, especially in different seasons and geographic regions (Li et al., 2012). The SR product delivers modeled surface reflectance from Landsat TM/ETM+/OLI - data using physical rather than empirical models. Accordingly, this product will ensure that reflective value differences between imagery acquired at different times by - different sensors will be primarily due to on-ground changes in biophysical parameters rather than artifacts of the imaging environment. - - Integrated Time Series Data - - Once consistent and comparable measures of surface reflectance have been retrieved from EO data, it is possible to quantify changes - in Earth surface features through time. - - Given the growing time series of EO imagery, this landmark facility will streamline the process of reliably monitoring long-term chnges in land and water resources. - comment: | - - Ground Control Points (GCP): new GCP chips released by USGS in Dec 2015 are used for re-processing - - Geometric QA: each product undergoes geometric assessment and the assessment result will be recorded within v2 AGDC for filtering/masking purposes. - - Processing parameter settings: the minimum number of GCPs for Ortho-rectified product generation has been reduced from 30 to 10. - - DEM: 1 second SRTM DSM is used for Ortho-rectification. - - Updated Calibration Parameter File (CPF): the latest/current CPF is used for processing. - institution: Commonwealth of Australia (Geoscience Australia) - instrument: ETM - keywords: AU/GA,NASA/GSFC/SED/ESD/LANDSAT,REFLECTANCE,ETM+,TM,OLI,EARTH SCIENCE - keywords_vocabulary: GCMD - platform: LANDSAT-7 - publisher_email: earth.observation@ga.gov.au - publisher_name: Section Leader, Operations Section, NEMO, Geoscience Australia - publisher_url: 'http://www.ga.gov.au' - source: remotely observed surface reflectance - license: CC BY Attribution 4.0 International License - cdm_data_type: Grid - product_suite: Surface Reflectance NBAR 25m - acknowledgment: Landsat data is provided by the United States Geological Survey (USGS) through direct reception of the data at Geoscience Australias satellite reception facility or download. - references: | - - Berk, A., Anderson, G.P., Acharya, P.K., Hoke, M.L., Chetwynd, J.H., Bernstein, L.S., Shettle, E.P., Matthew, M.W., and Adler-Golden, S.M. (2003) Modtran 4 Version 3 Revision 1 User s manual. Airforce Research Laboratory, Hanscom, MA, USA. - - Chander, G., Markham, B.L., and Helder, D.L. (2009) Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI sensors. Remote Sensing of Environment 113, 893-903. - - Edberg, R., and Oliver, S. (2013) Projection-Independent Earth-Solar-Sensor Geometry for Surface Reflectance Correction. Submitted to IGARSS 2013, Melbourne. - - GA and CSIRO (2010) 1 second SRTM Derived Digital Elevation Models User Guide. Version 1.03. GA, Canberra. - - Forrest, R.B. (1981) Simulation of orbital image-sensor geometry, Photogrammetric Engineering and Remote Sensing 47, 1187-93. - - Irish, R. (2000) Landsat 7 Automatic Cloud Cover Assessment, sourced: http://landsathandbook.gsfc.nasa.gov/pdfs/ACCA_SPIE_paper.pdf, last accessed 12/11/2012. - - Irish, R.R., Barker, J.L., Goward, S.N., Arvidson, T. (2006) Characterization of the Landsat-7 ETM+ Automated Cloud -Cover Assessment (ACCA) Algorithm, Photogrammetric Engineering & Remote Sensing 72 (10), 1179-88. - - Irons, J.R., Dwyer, J.L., and Barsi, J.A. (2012) The next Landsat satellite: The Landsat Data Continuity Mission. Remote Sensing of Environment (2012), doi:10.1016/j.rse.2011.08.026. - - Kalnay, E. Kanamitsu, M., Kistler, R., Collins, W., Deaven, D., Gandin, L., Iredell, M., Saha, S., White, G., Woollen, J., Zhu, Y., Chelliah, M., Ebisuzaki, W., Higgins, W., Janowiak, J., Mo, K.C., Ropelewski, C., Wang, J., Leetmaa, A., Reynolds, R. Jenne, R., Joseph, D. (1996) The NCEP/NCAR 40-Year Reanalysis Project. Bulletin of the American Meteorological Society 77, 437-71. - - Li, F., Jupp, D.L.B., Reddy, S., Lymburner, L., Mueller, N., Tan, P., and Islam, A. (2010) An Evaluation of the Use of Atmospheric and BRDF Correction to Standardize Landsat Data. IEEE J. Selected Topics in Applied Earth Observations and Remote Sensing 3, 257-70. - - Li, F. (2010) ARG25 Algorithm Theoretical Basis Document. GA, Canberra. - - Li, F., Jupp, D.L.B., Thankappan, M., Lymburner, L., Mueller, N., Lewis, A., and Held, A. (2012) A physics-based atmopheric and BRDF correction for Landsat data over mountainous terrain. Remote Sensing of Environment 124, 756-70. - - Lubke, M. (2012) Landsat Geometry Calibration/Validation Update. Presentation at LTWG #21, 25 September 2012, Sioux Falls. USGS, USA. - - OGC (2006) OpenGIS Web Map Server Implementation Specification (Ed: Jeff de la Beaujardiere) Ref. OGC 06-042. - - OGC (2010) OGC WCS 2.0 Interface Standard - Core. (Ed: Peter Baumann) Ref. OGC 09-110r3. - - OGC (2013) CF-netCDF3 Data Model Extension Standard (Eds: Ben Domenico and Stefano Nativi) Ref. OGC 11-165r2. - - Strahler, A.H., and Muller, J.-P. (1999) MODIS BRDF/Albedo Product: Algorithm Theoretical Basis Document Version 5.0. http://modis.gsfc.nasa.gov/data/atbd/atbd_mod09.pdf - - TM World Borders vector file: http://thematicmapping.org/downloads/world_borders.php. - - USGS (2012a) Landsat Thematic Mapper (TM) Level 1 (L1) Data Format Control Book (DFCB). LS-DFCB-20 Version 4.0. USGS, USA. http://landsat.usgs.gov/documents/LS-DFCB-20.pdf. - - USGS (2012b) Landsat 7 ETM+ Level 1 Product Data Format Control Book (DFCB). LS-DFCB-04 Version 15.0. http://landsat.usgs.gov/documents/LS-DFCB-04.pdf. - - Vincenty, T. (1975) Direct and Inverse Solutions of Geodesies on the Ellipsoid with Application of Nested Equations. Survey Review 23, 88-93. - - Zhu, Z. and Woodcock, C. E. (2012) Object-based cloud and cloud shadow detection in Landsat imagery. Remote Sensing of Environment 118, 83-94. - - http://dx.doi.org/10.4225/25/5487CC0D4F40B - - http://dx.doi.org/10.1109/JSTARS.2010.2042281 - -storage: - driver: NetCDF CF - - crs: EPSG:3577 - tile_size: - x: 100000.0 - y: 100000.0 - resolution: - x: 25 - y: -25 - chunking: - x: 200 - y: 200 - time: 5 - dimension_order: ['time', 'y', 'x'] - -measurements: - - name: blue - dtype: int16 - nodata: -999 - resampling_method: nearest - src_varname: '1' - zlib: True - fletcher32: True - attrs: - long_name: "Nadir BRDF Adjusted Reflectance 0.45-0.52 microns (Blue)" - alias: "band_1" - coverage_content_type: physicalMeasurement - - name: green - dtype: int16 - nodata: -999 - resampling_method: nearest - src_varname: '2' - zlib: True - fletcher32: True - attrs: - long_name: "Nadir BRDF Adjusted Reflectance 0.52-0.60 microns (Green)" - alias: "band_2" - coverage_content_type: physicalMeasurement - - name: red - dtype: int16 - nodata: -999 - resampling_method: nearest - src_varname: '3' - zlib: True - fletcher32: True - attrs: - long_name: "Nadir BRDF Adjusted Reflectance 0.63-0.69 microns (Red)" - alias: "band_3" - coverage_content_type: physicalMeasurement - - name: nir - dtype: int16 - nodata: -999 - resampling_method: nearest - src_varname: '4' - zlib: True - fletcher32: True - attrs: - long_name: "Nadir BRDF Adjusted Reflectance 0.76-0.90 microns (Near Infrared)" - alias: "band_4" - coverage_content_type: physicalMeasurement - - name: swir1 - dtype: int16 - nodata: -999 - resampling_method: nearest - src_varname: '5' - zlib: True - fletcher32: True - attrs: - long_name: "Nadir BRDF Adjusted Reflectance 1.55-1.75 microns (Short-wave Infrared)" - alias: "band_5" - coverage_content_type: physicalMeasurement - - name: swir2 - dtype: int16 - nodata: -999 - resampling_method: nearest - src_varname: '7' - zlib: True - fletcher32: True - attrs: - long_name: "Nadir BRDF Adjusted Reflectance 2.08-2.35 microns (Short-wave Infrared)" - alias: "band_7" - coverage_content_type: physicalMeasurement diff --git a/digitalearthau/config/ingestion/ls7_nbart_albers.yaml b/digitalearthau/config/ingestion/ls7_nbart_albers.yaml deleted file mode 100644 index 001cbd15..00000000 --- a/digitalearthau/config/ingestion/ls7_nbart_albers.yaml +++ /dev/null @@ -1,195 +0,0 @@ -source_type: ls7_nbart_scene -output_type: ls7_nbart_albers -metadata_type: eo - -description: Landsat 7 Surface Reflectance NBART 25 metre, 100km tile, Australian Albers Equal Area projection (EPSG:3577) - -location: '/g/data/rs0/datacube/002/' -file_path_template: 'LS7_ETM_NBART/{tile_index[0]}_{tile_index[1]}/LS7_ETM_NBART_3577_{tile_index[0]}_{tile_index[1]}_{start_time}_v{version}.nc' -partial_ncml_path_template: 'LS7_ETM_NBART/{tile_index[0]}_{tile_index[1]}/LS7_ETM_NBART_3577_{tile_index[0]}_{tile_index[1]}_{start_time}.ncml' -ncml_path_template: 'LS7_ETM_NBART/LS7_ETM_NBART_3577_{tile_index[0]}_{tile_index[1]}.ncml' - -global_attributes: - title: Surface Reflectance NBAR+T 25 v2 - summary: | - Surface Reflectance (SR) is a suite of Earth Observation (EO) products from GA. The SR product suite provides standardised optical surface reflectance datasets using robust - physical models to correct for variations in image radiance values due to atmospheric properties, and sun and sensor geometry. The resulting stack of surface reflectance - grids are consistent over space and time which is instrumental in identifying and quantifying environmental change. SR is based on radiance data from the Landsat TM/ETM+ - and OLI sensors. - - The standardised SR data products deliver calibrated optical surface reflectance data across land and coastal fringes. SR is a medium resolution (~25 m) grid based on the - Landsat TM/ETM+/OLI archive and presents surface reflectance data in 25 square metre grid cells. - - Radiance measurements from EO sensors do not directly quantify the surface reflectance of the Earth. Such measurements are modified by variations in atmospheric - properties, sun position, sensor view angle, surface slope and surface aspect. To obtain consistent and comparable measures of Earth surface reflectance from EO, - these variations need to be reduced or removed from the radiance measurements (Li et al., 2010). This is especially important when comparing imagery acquired in - different seasons and geographic regions. - - The SR product is created using a physics-based coupled BRDF and atmospheric correction model that can be applied to both flat and inclined surfaces (Li et al., 2012). - The resulting surface reflectance values are comparable both within individual images and between images acquired at different times and/or with different sensors. - Terrain affects optical satellite images through both irradiance and bidirectional reflectance distribution function (BRDF) effects. Slopes facing the sun receive enhanced - solar irradiance and appear brighter compared to those facing away from the sun. For anisotropic surfaces, the radiance received at the satellite sensor from a sloping - surface is also affected by surface BRDF which varies with combinations of surface landcover types, sun, and satellite geometry (sun and sensor view, and their relative - azimuth angle) as well as topographic geometry (primarily slope and aspect angles). Consequently, to obtain comparable surface reflectance from satellite images covering - mountainous areas, it is necessary to process the images to reduce or remove the topographic effect so that the images can be used for different purposes on the same - spectral base. A Digital Surface Model (DSM) resolution appropriate to the scale of the resolution of satellite image is needed for the best results. 1 second SRTM DSM is - used for NBART processing. - - Landsat Archive - - GA has acquired Landsat imagery over Australia since 1979, including TM, ETM+ and OLI imagery. While this data has been used extensively for numerous - land and coastal mapping studies, its utility for accurate monitoring of environmental resources has been limited by the processing methods that have been traditionally - used to correct for inherent geometric and radiometric distortions in EO imagery. To improve access to Australia s archive of Landsat TM/ETM+/OLI data, several - collaborative projects have been undertaken in conjunction with industry, government and academic partners. These projects have enabled implementation of a - more integrated approach to image data correction that incorporates normalising models to account for atmospheric effects, BRDF and topographic shading (Li et al., 2012). - The approach has been applied to Landsat TM/ETM+ and OLI imagery to create the SR products. The advanced supercomputing facilities provided by the National - Computational Infrastructure (NCI) at the Australian National University (ANU) have been instrumental in handling the considerable data volumes and processing - complexities involved with production of this product. - - Surface Reflectance Correction Models - - Image radiance values recorded by passive EO sensors are a composite of - - surface reflectance; - - atmospheric condition; - - interaction between surface land cover, solar radiation and sensor view angle; - - land surface orientation relative to the imaging sensor. - - It has been traditionally assumed that Landsat imagery display negligible variation in sun and sensor view angles, however these can vary significantly both within - and between scenes, especially in different seasons and geographic regions (Li et al., 2012). The SR product delivers modeled surface reflectance from Landsat TM/ETM+/OLI - data using physical rather than empirical models. Accordingly, this product will ensure that reflective value differences between imagery acquired at different times by - different sensors will be primarily due to on-ground changes in biophysical parameters rather than artifacts of the imaging environment. - - Integrated Time Series Data - - Once consistent and comparable measures of surface reflectance have been retrieved from EO data, it is possible to quantify changes - in Earth surface features through time. - - Given the growing time series of EO imagery, this landmark facility will streamline the process of reliably monitoring long-term chnges in land and water resources. - comment: | - - Ground Control Points (GCP): new GCP chips released by USGS in Dec 2015 are used for re-processing - - Geometric QA: each product undergoes geometric assessment and the assessment result will be recorded within v2 AGDC for filtering/masking purposes. - - Processing parameter settings: the minimum number of GCPs for Ortho-rectified product generation has been reduced from 30 to 10. - - DEM: 1 second SRTM DSM is used for Ortho-rectification. - - Updated Calibration Parameter File (CPF): the latest/current CPF is used for processing. - institution: Commonwealth of Australia (Geoscience Australia) - instrument: ETM - keywords: AU/GA,NASA/GSFC/SED/ESD/LANDSAT,REFLECTANCE,ETM+,TM,OLI,EARTH SCIENCE - keywords_vocabulary: GCMD - platform: LANDSAT-7 - publisher_email: earth.observation@ga.gov.au - publisher_name: Section Leader, Operations Section, NEMO, Geoscience Australia - publisher_url: 'http://www.ga.gov.au' - source: remotely observed surface reflectance - license: CC BY Attribution 4.0 International License - cdm_data_type: Grid - product_suite: Surface Reflectance NBAR+T 25m - acknowledgment: Landsat data is provided by the United States Geological Survey (USGS) through direct reception of the data at Geoscience Australias satellite reception facility or download. - references: | - - Berk, A., Anderson, G.P., Acharya, P.K., Hoke, M.L., Chetwynd, J.H., Bernstein, L.S., Shettle, E.P., Matthew, M.W., and Adler-Golden, S.M. (2003) Modtran 4 Version 3 Revision 1 User s manual. Airforce Research Laboratory, Hanscom, MA, USA. - - Chander, G., Markham, B.L., and Helder, D.L. (2009) Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI sensors. Remote Sensing of Environment 113, 893-903. - - Edberg, R., and Oliver, S. (2013) Projection-Independent Earth-Solar-Sensor Geometry for Surface Reflectance Correction. Submitted to IGARSS 2013, Melbourne. - - GA and CSIRO (2010) 1 second SRTM Derived Digital Elevation Models User Guide. Version 1.03. GA, Canberra. - - Forrest, R.B. (1981) Simulation of orbital image-sensor geometry, Photogrammetric Engineering and Remote Sensing 47, 1187-93. - - Irish, R. (2000) Landsat 7 Automatic Cloud Cover Assessment, sourced: http://landsathandbook.gsfc.nasa.gov/pdfs/ACCA_SPIE_paper.pdf, last accessed 12/11/2012. - - Irish, R.R., Barker, J.L., Goward, S.N., Arvidson, T. (2006) Characterization of the Landsat-7 ETM+ Automated Cloud -Cover Assessment (ACCA) Algorithm, Photogrammetric Engineering & Remote Sensing 72 (10), 1179-88. - - Irons, J.R., Dwyer, J.L., and Barsi, J.A. (2012) The next Landsat satellite: The Landsat Data Continuity Mission. Remote Sensing of Environment (2012), doi:10.1016/j.rse.2011.08.026. - - Kalnay, E. Kanamitsu, M., Kistler, R., Collins, W., Deaven, D., Gandin, L., Iredell, M., Saha, S., White, G., Woollen, J., Zhu, Y., Chelliah, M., Ebisuzaki, W., Higgins, W., Janowiak, J., Mo, K.C., Ropelewski, C., Wang, J., Leetmaa, A., Reynolds, R. Jenne, R., Joseph, D. (1996) The NCEP/NCAR 40-Year Reanalysis Project. Bulletin of the American Meteorological Society 77, 437-71. - - Li, F., Jupp, D.L.B., Reddy, S., Lymburner, L., Mueller, N., Tan, P., and Islam, A. (2010) An Evaluation of the Use of Atmospheric and BRDF Correction to Standardize Landsat Data. IEEE J. Selected Topics in Applied Earth Observations and Remote Sensing 3, 257-70. - - Li, F. (2010) ARG25 Algorithm Theoretical Basis Document. GA, Canberra. - - Li, F., Jupp, D.L.B., Thankappan, M., Lymburner, L., Mueller, N., Lewis, A., and Held, A. (2012) A physics-based atmopheric and BRDF correction for Landsat data over mountainous terrain. Remote Sensing of Environment 124, 756-70. - - Lubke, M. (2012) Landsat Geometry Calibration/Validation Update. Presentation at LTWG #21, 25 September 2012, Sioux Falls. USGS, USA. - - OGC (2006) OpenGIS Web Map Server Implementation Specification (Ed: Jeff de la Beaujardiere) Ref. OGC 06-042. - - OGC (2010) OGC WCS 2.0 Interface Standard - Core. (Ed: Peter Baumann) Ref. OGC 09-110r3. - - OGC (2013) CF-netCDF3 Data Model Extension Standard (Eds: Ben Domenico and Stefano Nativi) Ref. OGC 11-165r2. - - Strahler, A.H., and Muller, J.-P. (1999) MODIS BRDF/Albedo Product: Algorithm Theoretical Basis Document Version 5.0. http://modis.gsfc.nasa.gov/data/atbd/atbd_mod09.pdf - - TM World Borders vector file: http://thematicmapping.org/downloads/world_borders.php. - - USGS (2012a) Landsat Thematic Mapper (TM) Level 1 (L1) Data Format Control Book (DFCB). LS-DFCB-20 Version 4.0. USGS, USA. http://landsat.usgs.gov/documents/LS-DFCB-20.pdf. - - USGS (2012b) Landsat 7 ETM+ Level 1 Product Data Format Control Book (DFCB). LS-DFCB-04 Version 15.0. http://landsat.usgs.gov/documents/LS-DFCB-04.pdf. - - Vincenty, T. (1975) Direct and Inverse Solutions of Geodesies on the Ellipsoid with Application of Nested Equations. Survey Review 23, 88-93. - - Zhu, Z. and Woodcock, C. E. (2012) Object-based cloud and cloud shadow detection in Landsat imagery. Remote Sensing of Environment 118, 83-94. - - http://dx.doi.org/10.4225/25/5487CC0D4F40B - - http://dx.doi.org/10.1109/JSTARS.2010.2042281 - -storage: - driver: NetCDF CF - - crs: EPSG:3577 - tile_size: - x: 100000.0 - y: 100000.0 - resolution: - x: 25 - y: -25 - chunking: - x: 200 - y: 200 - time: 5 - dimension_order: ['time', 'y', 'x'] - -measurements: - - name: blue - dtype: int16 - nodata: -999 - resampling_method: nearest - src_varname: '1' - zlib: True - fletcher32: True - attrs: - long_name: "Nadir BRDF and Terrain Illumination Adjusted Reflectance 0.45-0.52 microns (Blue)" - alias: "band_1" - coverage_content_type: physicalMeasurement - - name: green - dtype: int16 - nodata: -999 - resampling_method: nearest - src_varname: '2' - zlib: True - fletcher32: True - attrs: - long_name: "Nadir BRDF and Terrain Illumination Adjusted Reflectance 0.52-0.60 microns (Green)" - alias: "band_2" - coverage_content_type: physicalMeasurement - - name: red - dtype: int16 - nodata: -999 - resampling_method: nearest - src_varname: '3' - zlib: True - fletcher32: True - attrs: - long_name: "Nadir BRDF and Terrain Illumination Adjusted Reflectance 0.63-0.69 microns (Red)" - alias: "band_3" - coverage_content_type: physicalMeasurement - - name: nir - dtype: int16 - nodata: -999 - resampling_method: nearest - src_varname: '4' - zlib: True - fletcher32: True - attrs: - long_name: "Nadir BRDF and Terrain Illumination Adjusted Reflectance 0.76-0.90 microns (Near Infrared)" - alias: "band_4" - coverage_content_type: physicalMeasurement - - name: swir1 - dtype: int16 - nodata: -999 - resampling_method: nearest - src_varname: '5' - zlib: True - fletcher32: True - attrs: - long_name: "Nadir BRDF and Terrain Illumination Adjusted Reflectance 1.55-1.75 microns (Short-wave Infrared)" - alias: "band_5" - coverage_content_type: physicalMeasurement - - name: swir2 - dtype: int16 - nodata: -999 - resampling_method: nearest - src_varname: '7' - zlib: True - fletcher32: True - attrs: - long_name: "Nadir BRDF and Terrain Illumination Adjusted Reflectance 2.08-2.35 microns (Short-wave Infrared)" - alias: "band_7" - coverage_content_type: physicalMeasurement diff --git a/digitalearthau/config/ingestion/ls7_pq_albers.yaml b/digitalearthau/config/ingestion/ls7_pq_albers.yaml deleted file mode 100644 index 9dde620f..00000000 --- a/digitalearthau/config/ingestion/ls7_pq_albers.yaml +++ /dev/null @@ -1,118 +0,0 @@ -source_type: ls7_pq_scene -output_type: ls7_pq_albers -metadata_type: eo - -description: Landsat 7 Pixel Quality 25 metre, 100km tile, Australian Albers Equal Area projection (EPSG:3577) - -location: '/g/data/rs0/datacube/002/' -file_path_template: 'LS7_ETM_PQ/{tile_index[0]}_{tile_index[1]}/LS7_ETM_PQ_3577_{tile_index[0]}_{tile_index[1]}_{start_time}_v{version}.nc' -partial_ncml_path_template: 'LS7_ETM_PQ/{tile_index[0]}_{tile_index[1]}/LS7_ETM_PQ_3577_{tile_index[0]}_{tile_index[1]}_{start_time}.ncml' -ncml_path_template: 'LS7_ETM_PQ/LS7_ETM_PQ_3577_{tile_index[0]}_{tile_index[1]}.ncml' - -global_attributes: - title: Pixel Quality 25 v2 - summary: | - The PQ25 product facilitates interpretation and processing of Surface Reflectance (SR-N/NT), Fractional Cover 25 (FC25) - and derivative products. - - PQ25 is an assessment of each image pixel to determine if it is an unobscured, unsaturated observation - of the Earth surface and also whether the pixel is represented in each spectral band. The PQ product allows - users to produce masks which can be used to exclude pixels which do not meet their quality criteria from analysis . - The capacity to automatically exclude such pixels is essential for emerging multi-temporal analysis techniques that - make use of every quality assured pixel within a time series of observations.\nUsers can choose to process only land pixels, - or only sea pixels depending on their analytical requirements, leading to enhanced computationally efficient. - - PQ provides an assessment of the quality of observations at a pixel level and includes information about: - - Spectral Contiguity (lack of signal in any band) - - Saturation in any band - - Presence of cloud - - Presence of cloud shadow - - Land or sea - - As Landsat Imagery becomes more readily available, there has been a rapid increase in the amount of analyses undertaken - by researchers around the globe. Most researchers use some form of quality masking schema in order to remove undesirable - pixels from analysis, whether that be cloud, cloud shadow, observations over the ocean, or saturated pixels. In the past, - researchers would reject partly cloud-affected scenes in favour of cloud-free scenes. However, Landsat time series analysis - using all cloud-free pixels has become a valuable technique and has increased the demand for automation of cloud, cloud - shadow and saturation detection. Emergency response applications such as flood mapping typically have to contend with - individual cloud affected scenes and therefore rely on effective cloud and cloud shadow removal techniques. - - The PQ25 product combines established algorithms that detect clouds including the Automated Cloud Cover Assessment - (ACCA) (Irish et al. 2006) and Function of mask (Fmask) (Zhu and Woodcock 2012) . ACCA is already widely used within the - remote sensing community; it is fast and relatively accurate. Fmask on the other hand is newer, but is rapidly becoming - more established, and can provide a more accurate cloud mask than ACCA in certain cloud environments. - - The sensor saturation flagging protocols developed for the Web Enabled Landsat Data (WELD) product as described - in Roy et al. (2011) are used to flag sensor saturation.\nThe PQ25 product has similarities to the QAB layer packaged - with OLI data, however it uses additional algorithms to detect cloud and cloud shadow, and is available for Landsat 5, 7 and 8. - comment: | - - Ground Control Points (GCP): new GCP chips released by USGS in Dec 2015 are used for re-processing - - Geometric QA: each product undergoes geometric assessment and the assessment result will be recorded within v2 AGDC for filtering/masking purposes. - - Processing parameter settings: the minimum number of GCPs for Ortho-rectified product generation has been reduced from 30 to 10. - - DEM: 1 second SRTM DSM is used for Ortho-rectification. - - Updated Calibration Parameter File (CPF): the latest/current CPF is used for processing. - institution: Commonwealth of Australia (Geoscience Australia) - instrument: ETM - keywords: AU/GA,NASA/GSFC/SED/ESD/LANDSAT,ETM+,TM,OLI,EARTH SCIENCE - keywords_vocabulary: GCMD - platform: LANDSAT-7 - publisher_email: earth.observation@ga.gov.au - publisher_name: Section Leader, Operations Section, NEMO, Geoscience Australia - publisher_url: http://www.ga.gov.au - source: remotely observed surface reflectance and modelled cloud/shadow - license: CC BY Attribution 4.0 International License - cdm_data_type: Grid - product_suite: Pixel Quality 25m - acknowledgment: Landsat data is provided by the United States Geological Survey (USGS) through direct reception of the data at Geoscience Australias satellite reception facility or download. - references: | - - Berk, A., Anderson, G.P., Acharya, P.K., Hoke, M.L., Chetwynd, J.H., Bernstein, L.S., Shettle, E.P., Matthew, M.W., and Adler-Golden, S.M. (2003) Modtran 4 Version 3 Revision 1 User s manual. Airforce Research Laboratory, Hanscom, MA, USA. - - Chander, G., Markham, B.L., and Helder, D.L. (2009) Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI sensors. Remote Sensing of Environment 113, 893-903. - - Edberg, R., and Oliver, S. (2013) Projection-Independent Earth-Solar-Sensor Geometry for Surface Reflectance Correction. Submitted to IGARSS 2013, Melbourne. - - Forrest, R.B. (1981) Simulation of orbital image-sensor geometry, Photogrammetric Engineering and Remote Sensing 47, 1187-93. - - GA and CSIRO (2010) 1 second SRTM Derived Digital Elevation Models User Guide. Version 1.03. GA, Canberra. - - Irish, R. (2000) Landsat 7 Automatic Cloud Cover Assessment, sourced: http://landsathandbook.gsfc.nasa.gov/pdfs/ACCA_SPIE_paper.pdf, last accessed 12/11/2012. - - Irons, J.R., Dwyer, J.L., and Barsi, J.A. (2012) The next Landsat satellite: The Landsat Data Continuity Mission. Remote Sensing of Environment (2012), doi:10.1016/j.rse.2011.08.026 - - Kalnay, E. Kanamitsu, M., Kistler, R., Collins, W., Deaven, D., Gandin, L., Iredell, M., Saha, S., White, G., Woollen, J., Zhu, Y., Chelliah, M., Ebisuzaki, W., Higgins, W., Janowiak, J., Mo, K.C., Ropelewski, C., Wang, J., Leetmaa, A., Reynolds, R. Jenne, R., Joseph, D. (1996) The NCEP/NCAR 40-Year Reanalysis Project. Bulletin of the American Meteorological Society 77, 437-71. - - Li, F., Jupp, D.L.B., Reddy, S., Lymburner, L., Mueller, N., Tan, P., and Islam, A. (2010) An Evaluation of the Use of Atmospheric and BRDF Correction to Standardize Landsat Data. IEEE J. Selected Topics in Applied Earth Observations and Remote Sensing 3, 257-70.;Li, F. (2010) ARG25 Algorithm Theoretical Basis Document. GA, Canberra. - - Li, F., Jupp, D.L.B., Thankappan, M., Lymburner, L., Mueller, N., Lewis, A., and Held, A. (2012) A physics-based atmopheric and BRDF correction for Landsat data over mountainous terrain. Remote Sensing of Environment 124, 756-70. - - Lubke, M. (2012) Landsat Geometry Calibration/Validation Update. Presentation at LTWG #21, 25 September 2012, Sioux Falls. USGS, USA. - - OGC (2006) OpenGIS Web Map Server Implementation Specification (Ed: Jeff de la Beaujardiere) Ref. OGC 06-042. - - OGC (2010) OGC WCS 2.0 Interface Standard - Core. (Ed: Peter Baumann) Ref. OGC 09-110r3. - - OGC (2013) CF-netCDF3 Data Model Extension Standard (Eds: Ben Domenico and Stefano Nativi) Ref. OGC 11-165r2. - - Roy, D.P., Ju, J., Kline, K., Scaramuzza, P.L., Kovalskyy, V., Hansen, M., Loveland, T.R., Vermote, E., & Zhang, C. (2010). Web-enabled Landsat Data (WELD): Landsat ETM+ composited mosaics of the conterminous United States. Remote Sensing of Environment, 114, 35-49. - - Sixsmith, J., Oliver, S., & Lymburner, L. (2013). A hybrid approach to automated Landsat pixel quality. In, Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International (pp. 4146-4149). - - Strahler, A.H., and Muller, J.-P. (1999) MODIS BRDF/Albedo Product: Algorithm Theoretical Basis Document Version 5.0. http://modis.gsfc.nasa.gov/data/atbd/atbd_mod09.pdf - - TM World Borders vector file: http://thematicmapping.org/downloads/world_borders.php - - USGS (2012a) Landsat Thematic Mapper (TM) Level 1 (L1) Data Format Control Book (DFCB). LS-DFCB-20 Version 4.0. USGS, USA. http://landsat.usgs.gov/documents/LS-DFCB-20.pdf - - USGS (2012b) Landsat 7 ETM+ Level 1 Product Data Format Control Book (DFCB). LS-DFCB-04 Version 15.0. http://landsat.usgs.gov/documents/LS-DFCB-04.pdf - - Vincenty, T. (1975) Direct and Inverse Solutions of Geodesies on the Ellipsoid with Application of Nested Equations. Survey Review 23, 88-93. - - Zhu, Z. and Woodcock, C. E. (2012) Object-based cloud and cloud shadow detection in Landsat imagery. Remote Sensing of Environment 118, 83-94. - - http://dx.doi.org/10.4225/25/55EF55788BAC1 - -storage: - driver: NetCDF CF - - crs: EPSG:3577 - tile_size: - x: 100000.0 - y: 100000.0 - resolution: - x: 25 - y: -25 - chunking: - x: 200 - y: 200 - time: 5 - dimension_order: ['time', 'y', 'x'] - -measurements: - - name: pixelquality - dtype: int16 - nodata: 0 - resampling_method: nearest - src_varname: pqa - zlib: True - fletcher32: True - attrs: - standard_name: surface_bidirectional_reflectance status_flag - coverage_content_type: qualityInformation diff --git a/digitalearthau/config/ingestion/ls8_nbar_albers.yaml b/digitalearthau/config/ingestion/ls8_nbar_albers.yaml deleted file mode 100644 index a9a4cde8..00000000 --- a/digitalearthau/config/ingestion/ls8_nbar_albers.yaml +++ /dev/null @@ -1,200 +0,0 @@ -source_type: ls8_nbar_scene -output_type: ls8_nbar_albers -metadata_type: eo - -description: Landsat 8 Surface Reflectance NBAR 25 metre, 100km tile, Australian Albers Equal Area projection (EPSG:3577) - -location: '/g/data/rs0/datacube/002/' -file_path_template: 'LS8_OLI_NBAR/{tile_index[0]}_{tile_index[1]}/LS8_OLI_NBAR_3577_{tile_index[0]}_{tile_index[1]}_{start_time}_v{version}.nc' -partial_ncml_path_template: 'LS8_OLI_NBAR/{tile_index[0]}_{tile_index[1]}/LS8_OLI_NBAR_3577_{tile_index[0]}_{tile_index[1]}_{start_time}.ncml' -ncml_path_template: 'LS8_OLI_NBAR/LS8_OLI_NBAR_3577_{tile_index[0]}_{tile_index[1]}.ncml' - -global_attributes: - title: Surface Reflectance NBAR+ 25 v2 - summary: | - Surface Reflectance (SR) is a suite of Earth Observation (EO) products from GA. The SR product suite provides standardised optical surface reflectance datasets using robust - physical models to correct for variations in image radiance values due to atmospheric properties, and sun and sensor geometry. The resulting stack of surface reflectance - grids are consistent over space and time which is instrumental in identifying and quantifying environmental change. SR is based on radiance data from the Landsat TM/ETM+ - and OLI sensors. - - The standardised SR data products deliver calibrated optical surface reflectance data across land and coastal fringes. SR is a medium resolution (~25 m) grid based on the - Landsat TM/ETM+/OLI archive and presents surface reflectance data in 25 square metre grid cells. - - Radiance measurements from EO sensors do not directly quantify the surface reflectance of the Earth. Such measurements are modified by variations in atmospheric - properties, sun position, sensor view angle, surface slope and surface aspect. To obtain consistent and comparable measures of Earth surface reflectance from EO, - these variations need to be reduced or removed from the radiance measurements (Li et al., 2010). This is especially important when comparing imagery acquired in - different seasons and geographic regions. - - The SR product is created using a physics-based, coupled BRDF and atmospheric correction model that can be applied to both flat and inclined surfaces (Li et al., 2012). - The resulting surface reflectance values are comparable both within individual images and between images acquired at different times and/or with different sensors. - This product does not include terrain illumination reflectance correction (see SR-NT_25). - - Landsat Archive - - GA has acquired Landsat imagery over Australia since 1979, including TM, ETM+ and OLI imagery. While this data has been used extensively for numerous - land and coastal mapping studies, its utility for accurate monitoring of environmental resources has been limited by the processing methods that have been traditionally - used to correct for inherent geometric and radiometric distortions in EO imagery. To improve access to Australia s archive of Landsat TM/ETM+/OLI data, several - collaborative projects have been undertaken in conjunction with industry, government and academic partners. These projects have enabled implementation of a - more integrated approach to image data correction that incorporates normalising models to account for atmospheric effects, BRDF and topographic shading (Li et al., 2012). - The approach has been applied to Landsat TM/ETM+ and OLI imagery to create the SR products. The advanced supercomputing facilities provided by the National - Computational Infrastructure (NCI) at the Australian National University (ANU) have been instrumental in handling the considerable data volumes and processing - complexities involved with production of this product. - - Surface Reflectance Correction Models - - Image radiance values recorded by passive EO sensors are a composite of - - surface reflectance; - - atmospheric condition; - - interaction between surface land cover, solar radiation and sensor view angle; - - land surface orientation relative to the imaging sensor. - - It has been traditionally assumed that Landsat imagery display negligible variation in sun and sensor view angles, however these can vary significantly both within - and between scenes, especially in different seasons and geographic regions (Li et al., 2012). The SR product delivers modeled surface reflectance from Landsat TM/ETM+/OLI - data using physical rather than empirical models. Accordingly, this product will ensure that reflective value differences between imagery acquired at different times by - different sensors will be primarily due to on-ground changes in biophysical parameters rather than artifacts of the imaging environment. - - Integrated Time Series Data - - Once consistent and comparable measures of surface reflectance have been retrieved from EO data, it is possible to quantify changes - in Earth surface features through time. - - Given the growing time series of EO imagery, this landmark facility will streamline the process of reliably monitoring long-term chnges in land and water resources. - comment: | - - Ground Control Points (GCP): new GCP chips released by USGS in Dec 2015 are used for re-processing - - Geometric QA: each product undergoes geometric assessment and the assessment result will be recorded within v2 AGDC for filtering/masking purposes. - - Processing parameter settings: the minimum number of GCPs for Ortho-rectified product generation has been reduced from 30 to 10. - - DEM: 1 second SRTM DSM is used for Ortho-rectification. - - Updated Calibration Parameter File (CPF): the latest/current CPF is used for processing. - institution: Commonwealth of Australia (Geoscience Australia) - instrument: OLI - keywords: AU/GA,NASA/GSFC/SED/ESD/LANDSAT,REFLECTANCE,ETM+,TM,OLI,EARTH SCIENCE - keywords_vocabulary: GCMD - platform: LANDSAT-8 - publisher_email: earth.observation@ga.gov.au - publisher_name: Section Leader, Operations Section, NEMO, Geoscience Australia - publisher_url: 'http://www.ga.gov.au' - source: remotely observed surface reflectance - license: CC BY Attribution 4.0 International License - cdm_data_type: Grid - product_suite: Surface Reflectance NBAR 25m - acknowledgment: Landsat data is provided by the United States Geological Survey (USGS) through direct reception of the data at Geoscience Australias satellite reception facility or download. - references: | - - Berk, A., Anderson, G.P., Acharya, P.K., Hoke, M.L., Chetwynd, J.H., Bernstein, L.S., Shettle, E.P., Matthew, M.W., and Adler-Golden, S.M. (2003) Modtran 4 Version 3 Revision 1 User s manual. Airforce Research Laboratory, Hanscom, MA, USA. - - Chander, G., Markham, B.L., and Helder, D.L. (2009) Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI sensors. Remote Sensing of Environment 113, 893-903. - - Edberg, R., and Oliver, S. (2013) Projection-Independent Earth-Solar-Sensor Geometry for Surface Reflectance Correction. Submitted to IGARSS 2013, Melbourne. - - GA and CSIRO (2010) 1 second SRTM Derived Digital Elevation Models User Guide. Version 1.03. GA, Canberra. - - Forrest, R.B. (1981) Simulation of orbital image-sensor geometry, Photogrammetric Engineering and Remote Sensing 47, 1187-93. - - Irish, R. (2000) Landsat 7 Automatic Cloud Cover Assessment, sourced: http://landsathandbook.gsfc.nasa.gov/pdfs/ACCA_SPIE_paper.pdf, last accessed 12/11/2012. - - Irish, R.R., Barker, J.L., Goward, S.N., Arvidson, T. (2006) Characterization of the Landsat-7 ETM+ Automated Cloud -Cover Assessment (ACCA) Algorithm, Photogrammetric Engineering & Remote Sensing 72 (10), 1179-88. - - Irons, J.R., Dwyer, J.L., and Barsi, J.A. (2012) The next Landsat satellite: The Landsat Data Continuity Mission. Remote Sensing of Environment (2012), doi:10.1016/j.rse.2011.08.026. - - Kalnay, E. Kanamitsu, M., Kistler, R., Collins, W., Deaven, D., Gandin, L., Iredell, M., Saha, S., White, G., Woollen, J., Zhu, Y., Chelliah, M., Ebisuzaki, W., Higgins, W., Janowiak, J., Mo, K.C., Ropelewski, C., Wang, J., Leetmaa, A., Reynolds, R. Jenne, R., Joseph, D. (1996) The NCEP/NCAR 40-Year Reanalysis Project. Bulletin of the American Meteorological Society 77, 437-71. - - Li, F., Jupp, D.L.B., Reddy, S., Lymburner, L., Mueller, N., Tan, P., and Islam, A. (2010) An Evaluation of the Use of Atmospheric and BRDF Correction to Standardize Landsat Data. IEEE J. Selected Topics in Applied Earth Observations and Remote Sensing 3, 257-70. - - Li, F. (2010) ARG25 Algorithm Theoretical Basis Document. GA, Canberra. - - Li, F., Jupp, D.L.B., Thankappan, M., Lymburner, L., Mueller, N., Lewis, A., and Held, A. (2012) A physics-based atmopheric and BRDF correction for Landsat data over mountainous terrain. Remote Sensing of Environment 124, 756-70. - - Lubke, M. (2012) Landsat Geometry Calibration/Validation Update. Presentation at LTWG #21, 25 September 2012, Sioux Falls. USGS, USA. - - OGC (2006) OpenGIS Web Map Server Implementation Specification (Ed: Jeff de la Beaujardiere) Ref. OGC 06-042. - - OGC (2010) OGC WCS 2.0 Interface Standard - Core. (Ed: Peter Baumann) Ref. OGC 09-110r3. - - OGC (2013) CF-netCDF3 Data Model Extension Standard (Eds: Ben Domenico and Stefano Nativi) Ref. OGC 11-165r2. - - Strahler, A.H., and Muller, J.-P. (1999) MODIS BRDF/Albedo Product: Algorithm Theoretical Basis Document Version 5.0. http://modis.gsfc.nasa.gov/data/atbd/atbd_mod09.pdf - - TM World Borders vector file: http://thematicmapping.org/downloads/world_borders.php. - - USGS (2012a) Landsat Thematic Mapper (TM) Level 1 (L1) Data Format Control Book (DFCB). LS-DFCB-20 Version 4.0. USGS, USA. http://landsat.usgs.gov/documents/LS-DFCB-20.pdf. - - USGS (2012b) Landsat 7 ETM+ Level 1 Product Data Format Control Book (DFCB). LS-DFCB-04 Version 15.0. http://landsat.usgs.gov/documents/LS-DFCB-04.pdf. - - Vincenty, T. (1975) Direct and Inverse Solutions of Geodesies on the Ellipsoid with Application of Nested Equations. Survey Review 23, 88-93. - - Zhu, Z. and Woodcock, C. E. (2012) Object-based cloud and cloud shadow detection in Landsat imagery. Remote Sensing of Environment 118, 83-94. - - http://dx.doi.org/10.4225/25/5487CC0D4F40B - - http://dx.doi.org/10.1109/JSTARS.2010.2042281 - -storage: - driver: NetCDF CF - - crs: EPSG:3577 - tile_size: - x: 100000.0 - y: 100000.0 - resolution: - x: 25 - y: -25 - chunking: - x: 200 - y: 200 - time: 5 - dimension_order: ['time', 'y', 'x'] - -measurements: - - name: coastal_aerosol - dtype: int16 - nodata: -999 - resampling_method: nearest - src_varname: '1' - zlib: True - fletcher32: True - attrs: - long_name: "Nadir BRDF Adjusted Reflectance 0.43-0.45 microns (Coastal Aerosol)" - alias: "band_1" - coverage_content_type: physicalMeasurement - - name: blue - dtype: int16 - nodata: -999 - resampling_method: nearest - src_varname: '2' - zlib: True - fletcher32: True - attrs: - long_name: "Nadir BRDF Adjusted Reflectance 0.45-0.51 microns (Blue)" - alias: "band_2" - coverage_content_type: physicalMeasurement - - name: green - dtype: int16 - nodata: -999 - resampling_method: nearest - src_varname: '3' - zlib: True - fletcher32: True - attrs: - long_name: "Nadir BRDF Adjusted Reflectance 0.53-0.59 microns (Green)" - alias: "band_3" - coverage_content_type: physicalMeasurement - - name: red - dtype: int16 - nodata: -999 - resampling_method: nearest - src_varname: '4' - zlib: True - fletcher32: True - attrs: - long_name: "Nadir BRDF Adjusted Reflectance 0.64-0.67 microns (Red)" - alias: "band_4" - coverage_content_type: physicalMeasurement - - name: nir - dtype: int16 - nodata: -999 - resampling_method: nearest - src_varname: '5' - zlib: True - fletcher32: True - attrs: - long_name: "Nadir BRDF Adjusted Reflectance 0.85-0.88 microns (Near Infrared)" - alias: "band_5" - coverage_content_type: physicalMeasurement - - name: swir1 - dtype: int16 - nodata: -999 - resampling_method: nearest - src_varname: '6' - zlib: True - fletcher32: True - attrs: - long_name: "Nadir BRDF Adjusted Reflectance 1.57-1.65 microns (Short-wave Infrared)" - alias: "band_6" - coverage_content_type: physicalMeasurement - - name: swir2 - dtype: int16 - nodata: -999 - resampling_method: nearest - src_varname: '7' - zlib: True - fletcher32: True - attrs: - long_name: "Nadir BRDF Adjusted Reflectance 2.11-2.29 microns (Short-wave Infrared)" - alias: "band_7" - coverage_content_type: physicalMeasurement diff --git a/digitalearthau/config/ingestion/ls8_nbar_oli_albers.yaml b/digitalearthau/config/ingestion/ls8_nbar_oli_albers.yaml deleted file mode 100644 index cfd44c21..00000000 --- a/digitalearthau/config/ingestion/ls8_nbar_oli_albers.yaml +++ /dev/null @@ -1,200 +0,0 @@ -source_type: ls8_nbar_oli_scene -output_type: ls8_nbar_oli_albers -metadata_type: eo - -description: Landsat 8 Surface Reflectance NBAR 25 metre, 100km tile, Australian Albers Equal Area projection (EPSG:3577) - -location: '/g/data/rs0/datacube/002/' -file_path_template: 'LS8_OLI_NBAR/{tile_index[0]}_{tile_index[1]}/LS8_OLI_NBAR_3577_{tile_index[0]}_{tile_index[1]}_{start_time}_v{version}.nc' -partial_ncml_path_template: 'LS8_OLI_NBAR/{tile_index[0]}_{tile_index[1]}/LS8_OLI_NBAR_3577_{tile_index[0]}_{tile_index[1]}_{start_time}.ncml' -ncml_path_template: 'LS8_OLI_NBAR/LS8_OLI_NBAR_3577_{tile_index[0]}_{tile_index[1]}.ncml' - -global_attributes: - title: Surface Reflectance NBAR+ 25 v2 - summary: | - Surface Reflectance (SR) is a suite of Earth Observation (EO) products from GA. The SR product suite provides standardised optical surface reflectance datasets using robust - physical models to correct for variations in image radiance values due to atmospheric properties, and sun and sensor geometry. The resulting stack of surface reflectance - grids are consistent over space and time which is instrumental in identifying and quantifying environmental change. SR is based on radiance data from the Landsat TM/ETM+ - and OLI sensors. - - The standardised SR data products deliver calibrated optical surface reflectance data across land and coastal fringes. SR is a medium resolution (~25 m) grid based on the - Landsat TM/ETM+/OLI archive and presents surface reflectance data in 25 square metre grid cells. - - Radiance measurements from EO sensors do not directly quantify the surface reflectance of the Earth. Such measurements are modified by variations in atmospheric - properties, sun position, sensor view angle, surface slope and surface aspect. To obtain consistent and comparable measures of Earth surface reflectance from EO, - these variations need to be reduced or removed from the radiance measurements (Li et al., 2010). This is especially important when comparing imagery acquired in - different seasons and geographic regions. - - The SR product is created using a physics-based, coupled BRDF and atmospheric correction model that can be applied to both flat and inclined surfaces (Li et al., 2012). - The resulting surface reflectance values are comparable both within individual images and between images acquired at different times and/or with different sensors. - This product does not include terrain illumination reflectance correction (see SR-NT_25). - - Landsat Archive - - GA has acquired Landsat imagery over Australia since 1979, including TM, ETM+ and OLI imagery. While this data has been used extensively for numerous - land and coastal mapping studies, its utility for accurate monitoring of environmental resources has been limited by the processing methods that have been traditionally - used to correct for inherent geometric and radiometric distortions in EO imagery. To improve access to Australia s archive of Landsat TM/ETM+/OLI data, several - collaborative projects have been undertaken in conjunction with industry, government and academic partners. These projects have enabled implementation of a - more integrated approach to image data correction that incorporates normalising models to account for atmospheric effects, BRDF and topographic shading (Li et al., 2012). - The approach has been applied to Landsat TM/ETM+ and OLI imagery to create the SR products. The advanced supercomputing facilities provided by the National - Computational Infrastructure (NCI) at the Australian National University (ANU) have been instrumental in handling the considerable data volumes and processing - complexities involved with production of this product. - - Surface Reflectance Correction Models - - Image radiance values recorded by passive EO sensors are a composite of - - surface reflectance; - - atmospheric condition; - - interaction between surface land cover, solar radiation and sensor view angle; - - land surface orientation relative to the imaging sensor. - - It has been traditionally assumed that Landsat imagery display negligible variation in sun and sensor view angles, however these can vary significantly both within - and between scenes, especially in different seasons and geographic regions (Li et al., 2012). The SR product delivers modeled surface reflectance from Landsat TM/ETM+/OLI - data using physical rather than empirical models. Accordingly, this product will ensure that reflective value differences between imagery acquired at different times by - different sensors will be primarily due to on-ground changes in biophysical parameters rather than artifacts of the imaging environment. - - Integrated Time Series Data - - Once consistent and comparable measures of surface reflectance have been retrieved from EO data, it is possible to quantify changes - in Earth surface features through time. - - Given the growing time series of EO imagery, this landmark facility will streamline the process of reliably monitoring long-term chnges in land and water resources. - comment: | - - Ground Control Points (GCP): new GCP chips released by USGS in Dec 2015 are used for re-processing - - Geometric QA: each product undergoes geometric assessment and the assessment result will be recorded within v2 AGDC for filtering/masking purposes. - - Processing parameter settings: the minimum number of GCPs for Ortho-rectified product generation has been reduced from 30 to 10. - - DEM: 1 second SRTM DSM is used for Ortho-rectification. - - Updated Calibration Parameter File (CPF): the latest/current CPF is used for processing. - institution: Commonwealth of Australia (Geoscience Australia) - instrument: OLI - keywords: AU/GA,NASA/GSFC/SED/ESD/LANDSAT,REFLECTANCE,ETM+,TM,OLI,EARTH SCIENCE - keywords_vocabulary: GCMD - platform: LANDSAT-8 - publisher_email: earth.observation@ga.gov.au - publisher_name: Section Leader, Operations Section, NEMO, Geoscience Australia - publisher_url: 'http://www.ga.gov.au' - source: remotely observed surface reflectance - license: CC BY Attribution 4.0 International License - cdm_data_type: Grid - product_suite: Surface Reflectance NBAR 25m - acknowledgment: Landsat data is provided by the United States Geological Survey (USGS) through direct reception of the data at Geoscience Australias satellite reception facility or download. - references: | - - Berk, A., Anderson, G.P., Acharya, P.K., Hoke, M.L., Chetwynd, J.H., Bernstein, L.S., Shettle, E.P., Matthew, M.W., and Adler-Golden, S.M. (2003) Modtran 4 Version 3 Revision 1 User s manual. Airforce Research Laboratory, Hanscom, MA, USA. - - Chander, G., Markham, B.L., and Helder, D.L. (2009) Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI sensors. Remote Sensing of Environment 113, 893-903. - - Edberg, R., and Oliver, S. (2013) Projection-Independent Earth-Solar-Sensor Geometry for Surface Reflectance Correction. Submitted to IGARSS 2013, Melbourne. - - GA and CSIRO (2010) 1 second SRTM Derived Digital Elevation Models User Guide. Version 1.03. GA, Canberra. - - Forrest, R.B. (1981) Simulation of orbital image-sensor geometry, Photogrammetric Engineering and Remote Sensing 47, 1187-93. - - Irish, R. (2000) Landsat 7 Automatic Cloud Cover Assessment, sourced: http://landsathandbook.gsfc.nasa.gov/pdfs/ACCA_SPIE_paper.pdf, last accessed 12/11/2012. - - Irish, R.R., Barker, J.L., Goward, S.N., Arvidson, T. (2006) Characterization of the Landsat-7 ETM+ Automated Cloud -Cover Assessment (ACCA) Algorithm, Photogrammetric Engineering & Remote Sensing 72 (10), 1179-88. - - Irons, J.R., Dwyer, J.L., and Barsi, J.A. (2012) The next Landsat satellite: The Landsat Data Continuity Mission. Remote Sensing of Environment (2012), doi:10.1016/j.rse.2011.08.026. - - Kalnay, E. Kanamitsu, M., Kistler, R., Collins, W., Deaven, D., Gandin, L., Iredell, M., Saha, S., White, G., Woollen, J., Zhu, Y., Chelliah, M., Ebisuzaki, W., Higgins, W., Janowiak, J., Mo, K.C., Ropelewski, C., Wang, J., Leetmaa, A., Reynolds, R. Jenne, R., Joseph, D. (1996) The NCEP/NCAR 40-Year Reanalysis Project. Bulletin of the American Meteorological Society 77, 437-71. - - Li, F., Jupp, D.L.B., Reddy, S., Lymburner, L., Mueller, N., Tan, P., and Islam, A. (2010) An Evaluation of the Use of Atmospheric and BRDF Correction to Standardize Landsat Data. IEEE J. Selected Topics in Applied Earth Observations and Remote Sensing 3, 257-70. - - Li, F. (2010) ARG25 Algorithm Theoretical Basis Document. GA, Canberra. - - Li, F., Jupp, D.L.B., Thankappan, M., Lymburner, L., Mueller, N., Lewis, A., and Held, A. (2012) A physics-based atmopheric and BRDF correction for Landsat data over mountainous terrain. Remote Sensing of Environment 124, 756-70. - - Lubke, M. (2012) Landsat Geometry Calibration/Validation Update. Presentation at LTWG #21, 25 September 2012, Sioux Falls. USGS, USA. - - OGC (2006) OpenGIS Web Map Server Implementation Specification (Ed: Jeff de la Beaujardiere) Ref. OGC 06-042. - - OGC (2010) OGC WCS 2.0 Interface Standard - Core. (Ed: Peter Baumann) Ref. OGC 09-110r3. - - OGC (2013) CF-netCDF3 Data Model Extension Standard (Eds: Ben Domenico and Stefano Nativi) Ref. OGC 11-165r2. - - Strahler, A.H., and Muller, J.-P. (1999) MODIS BRDF/Albedo Product: Algorithm Theoretical Basis Document Version 5.0. http://modis.gsfc.nasa.gov/data/atbd/atbd_mod09.pdf - - TM World Borders vector file: http://thematicmapping.org/downloads/world_borders.php. - - USGS (2012a) Landsat Thematic Mapper (TM) Level 1 (L1) Data Format Control Book (DFCB). LS-DFCB-20 Version 4.0. USGS, USA. http://landsat.usgs.gov/documents/LS-DFCB-20.pdf. - - USGS (2012b) Landsat 7 ETM+ Level 1 Product Data Format Control Book (DFCB). LS-DFCB-04 Version 15.0. http://landsat.usgs.gov/documents/LS-DFCB-04.pdf. - - Vincenty, T. (1975) Direct and Inverse Solutions of Geodesies on the Ellipsoid with Application of Nested Equations. Survey Review 23, 88-93. - - Zhu, Z. and Woodcock, C. E. (2012) Object-based cloud and cloud shadow detection in Landsat imagery. Remote Sensing of Environment 118, 83-94. - - http://dx.doi.org/10.4225/25/5487CC0D4F40B - - http://dx.doi.org/10.1109/JSTARS.2010.2042281 - -storage: - driver: NetCDF CF - - crs: EPSG:3577 - tile_size: - x: 100000.0 - y: 100000.0 - resolution: - x: 25 - y: -25 - chunking: - x: 200 - y: 200 - time: 5 - dimension_order: ['time', 'y', 'x'] - -measurements: - - name: coastal_aerosol - dtype: int16 - nodata: -999 - resampling_method: nearest - src_varname: '1' - zlib: True - fletcher32: True - attrs: - long_name: "Nadir BRDF Adjusted Reflectance 0.43-0.45 microns (Coastal Aerosol)" - alias: "band_1" - coverage_content_type: physicalMeasurement - - name: blue - dtype: int16 - nodata: -999 - resampling_method: nearest - src_varname: '2' - zlib: True - fletcher32: True - attrs: - long_name: "Nadir BRDF Adjusted Reflectance 0.45-0.51 microns (Blue)" - alias: "band_2" - coverage_content_type: physicalMeasurement - - name: green - dtype: int16 - nodata: -999 - resampling_method: nearest - src_varname: '3' - zlib: True - fletcher32: True - attrs: - long_name: "Nadir BRDF Adjusted Reflectance 0.53-0.59 microns (Green)" - alias: "band_3" - coverage_content_type: physicalMeasurement - - name: red - dtype: int16 - nodata: -999 - resampling_method: nearest - src_varname: '4' - zlib: True - fletcher32: True - attrs: - long_name: "Nadir BRDF Adjusted Reflectance 0.64-0.67 microns (Red)" - alias: "band_4" - coverage_content_type: physicalMeasurement - - name: nir - dtype: int16 - nodata: -999 - resampling_method: nearest - src_varname: '5' - zlib: True - fletcher32: True - attrs: - long_name: "Nadir BRDF Adjusted Reflectance 0.85-0.88 microns (Near Infrared)" - alias: "band_5" - coverage_content_type: physicalMeasurement - - name: swir1 - dtype: int16 - nodata: -999 - resampling_method: nearest - src_varname: '6' - zlib: True - fletcher32: True - attrs: - long_name: "Nadir BRDF Adjusted Reflectance 1.57-1.65 microns (Short-wave Infrared)" - alias: "band_6" - coverage_content_type: physicalMeasurement - - name: swir2 - dtype: int16 - nodata: -999 - resampling_method: nearest - src_varname: '7' - zlib: True - fletcher32: True - attrs: - long_name: "Nadir BRDF Adjusted Reflectance 2.11-2.29 microns (Short-wave Infrared)" - alias: "band_7" - coverage_content_type: physicalMeasurement diff --git a/digitalearthau/config/ingestion/ls8_nbart_albers.yaml b/digitalearthau/config/ingestion/ls8_nbart_albers.yaml deleted file mode 100644 index 7416cb7d..00000000 --- a/digitalearthau/config/ingestion/ls8_nbart_albers.yaml +++ /dev/null @@ -1,206 +0,0 @@ -source_type: ls8_nbart_scene -output_type: ls8_nbart_albers -metadata_type: eo - -description: Landsat 8 Surface Relfectance NBART 25 metre, 100km tile, Australian Albers Equal Area projection (EPSG:3577) - -location: '/g/data/rs0/datacube/002/' -file_path_template: 'LS8_OLI_NBART/{tile_index[0]}_{tile_index[1]}/LS8_OLI_NBART_3577_{tile_index[0]}_{tile_index[1]}_{start_time}_v{version}.nc' -partial_ncml_path_template: 'LS8_OLI_NBART/{tile_index[0]}_{tile_index[1]}/LS8_OLI_NBART_3577_{tile_index[0]}_{tile_index[1]}_{start_time}.ncml' -ncml_path_template: 'LS8_OLI_NBART/LS8_OLI_NBART_3577_{tile_index[0]}_{tile_index[1]}.ncml' - -global_attributes: - title: Surface Reflectance NBAR+T 25 v2 - summary: | - Surface Reflectance (SR) is a suite of Earth Observation (EO) products from GA. The SR product suite provides standardised optical surface reflectance datasets using robust - physical models to correct for variations in image radiance values due to atmospheric properties, and sun and sensor geometry. The resulting stack of surface reflectance - grids are consistent over space and time which is instrumental in identifying and quantifying environmental change. SR is based on radiance data from the Landsat TM/ETM+ - and OLI sensors. - - The standardised SR data products deliver calibrated optical surface reflectance data across land and coastal fringes. SR is a medium resolution (~25 m) grid based on the - Landsat TM/ETM+/OLI archive and presents surface reflectance data in 25 square metre grid cells. - - Radiance measurements from EO sensors do not directly quantify the surface reflectance of the Earth. Such measurements are modified by variations in atmospheric - properties, sun position, sensor view angle, surface slope and surface aspect. To obtain consistent and comparable measures of Earth surface reflectance from EO, - these variations need to be reduced or removed from the radiance measurements (Li et al., 2010). This is especially important when comparing imagery acquired in - different seasons and geographic regions. - - The SR product is created using a physics-based coupled BRDF and atmospheric correction model that can be applied to both flat and inclined surfaces (Li et al., 2012). - The resulting surface reflectance values are comparable both within individual images and between images acquired at different times and/or with different sensors. - Terrain affects optical satellite images through both irradiance and bidirectional reflectance distribution function (BRDF) effects. Slopes facing the sun receive enhanced - solar irradiance and appear brighter compared to those facing away from the sun. For anisotropic surfaces, the radiance received at the satellite sensor from a sloping - surface is also affected by surface BRDF which varies with combinations of surface landcover types, sun, and satellite geometry (sun and sensor view, and their relative - azimuth angle) as well as topographic geometry (primarily slope and aspect angles). Consequently, to obtain comparable surface reflectance from satellite images covering - mountainous areas, it is necessary to process the images to reduce or remove the topographic effect so that the images can be used for different purposes on the same - spectral base. A Digital Surface Model (DSM) resolution appropriate to the scale of the resolution of satellite image is needed for the best results. 1 second SRTM DSM is - used for NBART processing. - - Landsat Archive - - GA has acquired Landsat imagery over Australia since 1979, including TM, ETM+ and OLI imagery. While this data has been used extensively for numerous - land and coastal mapping studies, its utility for accurate monitoring of environmental resources has been limited by the processing methods that have been traditionally - used to correct for inherent geometric and radiometric distortions in EO imagery. To improve access to Australia s archive of Landsat TM/ETM+/OLI data, several - collaborative projects have been undertaken in conjunction with industry, government and academic partners. These projects have enabled implementation of a - more integrated approach to image data correction that incorporates normalising models to account for atmospheric effects, BRDF and topographic shading (Li et al., 2012). - The approach has been applied to Landsat TM/ETM+ and OLI imagery to create the SR products. The advanced supercomputing facilities provided by the National - Computational Infrastructure (NCI) at the Australian National University (ANU) have been instrumental in handling the considerable data volumes and processing - complexities involved with production of this product. - - Surface Reflectance Correction Models - - Image radiance values recorded by passive EO sensors are a composite of - - surface reflectance; - - atmospheric condition; - - interaction between surface land cover, solar radiation and sensor view angle; - - land surface orientation relative to the imaging sensor. - - It has been traditionally assumed that Landsat imagery display negligible variation in sun and sensor view angles, however these can vary significantly both within - and between scenes, especially in different seasons and geographic regions (Li et al., 2012). The SR product delivers modeled surface reflectance from Landsat TM/ETM+/OLI - data using physical rather than empirical models. Accordingly, this product will ensure that reflective value differences between imagery acquired at different times by - different sensors will be primarily due to on-ground changes in biophysical parameters rather than artifacts of the imaging environment. - - Integrated Time Series Data - - Once consistent and comparable measures of surface reflectance have been retrieved from EO data, it is possible to quantify changes - in Earth surface features through time. - - Given the growing time series of EO imagery, this landmark facility will streamline the process of reliably monitoring long-term chnges in land and water resources. - comment: | - - Ground Control Points (GCP): new GCP chips released by USGS in Dec 2015 are used for re-processing - - Geometric QA: each product undergoes geometric assessment and the assessment result will be recorded within v2 AGDC for filtering/masking purposes. - - Processing parameter settings: the minimum number of GCPs for Ortho-rectified product generation has been reduced from 30 to 10. - - DEM: 1 second SRTM DSM is used for Ortho-rectification. - - Updated Calibration Parameter File (CPF): the latest/current CPF is used for processing. - institution: Commonwealth of Australia (Geoscience Australia) - instrument: OLI - keywords: AU/GA,NASA/GSFC/SED/ESD/LANDSAT,REFLECTANCE,ETM+,TM,OLI,EARTH SCIENCE - keywords_vocabulary: GCMD - platform: LANDSAT-8 - publisher_email: earth.observation@ga.gov.au - publisher_name: Section Leader, Operations Section, NEMO, Geoscience Australia - publisher_url: 'http://www.ga.gov.au' - source: remotely observed surface reflectance - license: CC BY Attribution 4.0 International License - cdm_data_type: Grid - product_suite: Surface Reflectance NBAR+T 25m - acknowledgment: Landsat data is provided by the United States Geological Survey (USGS) through direct reception of the data at Geoscience Australias satellite reception facility or download. - references: | - - Berk, A., Anderson, G.P., Acharya, P.K., Hoke, M.L., Chetwynd, J.H., Bernstein, L.S., Shettle, E.P., Matthew, M.W., and Adler-Golden, S.M. (2003) Modtran 4 Version 3 Revision 1 User s manual. Airforce Research Laboratory, Hanscom, MA, USA. - - Chander, G., Markham, B.L., and Helder, D.L. (2009) Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI sensors. Remote Sensing of Environment 113, 893-903. - - Edberg, R., and Oliver, S. (2013) Projection-Independent Earth-Solar-Sensor Geometry for Surface Reflectance Correction. Submitted to IGARSS 2013, Melbourne. - - GA and CSIRO (2010) 1 second SRTM Derived Digital Elevation Models User Guide. Version 1.03. GA, Canberra. - - Forrest, R.B. (1981) Simulation of orbital image-sensor geometry, Photogrammetric Engineering and Remote Sensing 47, 1187-93. - - Irish, R. (2000) Landsat 7 Automatic Cloud Cover Assessment, sourced: http://landsathandbook.gsfc.nasa.gov/pdfs/ACCA_SPIE_paper.pdf, last accessed 12/11/2012. - - Irish, R.R., Barker, J.L., Goward, S.N., Arvidson, T. (2006) Characterization of the Landsat-7 ETM+ Automated Cloud -Cover Assessment (ACCA) Algorithm, Photogrammetric Engineering & Remote Sensing 72 (10), 1179-88. - - Irons, J.R., Dwyer, J.L., and Barsi, J.A. (2012) The next Landsat satellite: The Landsat Data Continuity Mission. Remote Sensing of Environment (2012), doi:10.1016/j.rse.2011.08.026. - - Kalnay, E. Kanamitsu, M., Kistler, R., Collins, W., Deaven, D., Gandin, L., Iredell, M., Saha, S., White, G., Woollen, J., Zhu, Y., Chelliah, M., Ebisuzaki, W., Higgins, W., Janowiak, J., Mo, K.C., Ropelewski, C., Wang, J., Leetmaa, A., Reynolds, R. Jenne, R., Joseph, D. (1996) The NCEP/NCAR 40-Year Reanalysis Project. Bulletin of the American Meteorological Society 77, 437-71. - - Li, F., Jupp, D.L.B., Reddy, S., Lymburner, L., Mueller, N., Tan, P., and Islam, A. (2010) An Evaluation of the Use of Atmospheric and BRDF Correction to Standardize Landsat Data. IEEE J. Selected Topics in Applied Earth Observations and Remote Sensing 3, 257-70. - - Li, F. (2010) ARG25 Algorithm Theoretical Basis Document. GA, Canberra. - - Li, F., Jupp, D.L.B., Thankappan, M., Lymburner, L., Mueller, N., Lewis, A., and Held, A. (2012) A physics-based atmopheric and BRDF correction for Landsat data over mountainous terrain. Remote Sensing of Environment 124, 756-70. - - Lubke, M. (2012) Landsat Geometry Calibration/Validation Update. Presentation at LTWG #21, 25 September 2012, Sioux Falls. USGS, USA. - - OGC (2006) OpenGIS Web Map Server Implementation Specification (Ed: Jeff de la Beaujardiere) Ref. OGC 06-042. - - OGC (2010) OGC WCS 2.0 Interface Standard - Core. (Ed: Peter Baumann) Ref. OGC 09-110r3. - - OGC (2013) CF-netCDF3 Data Model Extension Standard (Eds: Ben Domenico and Stefano Nativi) Ref. OGC 11-165r2. - - Strahler, A.H., and Muller, J.-P. (1999) MODIS BRDF/Albedo Product: Algorithm Theoretical Basis Document Version 5.0. http://modis.gsfc.nasa.gov/data/atbd/atbd_mod09.pdf - - TM World Borders vector file: http://thematicmapping.org/downloads/world_borders.php. - - USGS (2012a) Landsat Thematic Mapper (TM) Level 1 (L1) Data Format Control Book (DFCB). LS-DFCB-20 Version 4.0. USGS, USA. http://landsat.usgs.gov/documents/LS-DFCB-20.pdf. - - USGS (2012b) Landsat 7 ETM+ Level 1 Product Data Format Control Book (DFCB). LS-DFCB-04 Version 15.0. http://landsat.usgs.gov/documents/LS-DFCB-04.pdf. - - Vincenty, T. (1975) Direct and Inverse Solutions of Geodesies on the Ellipsoid with Application of Nested Equations. Survey Review 23, 88-93. - - Zhu, Z. and Woodcock, C. E. (2012) Object-based cloud and cloud shadow detection in Landsat imagery. Remote Sensing of Environment 118, 83-94. - - http://dx.doi.org/10.4225/25/5487CC0D4F40B - - http://dx.doi.org/10.1109/JSTARS.2010.2042281 - -storage: - driver: NetCDF CF - - crs: EPSG:3577 - tile_size: - x: 100000.0 - y: 100000.0 - resolution: - x: 25 - y: -25 - chunking: - x: 200 - y: 200 - time: 5 - dimension_order: ['time', 'y', 'x'] - -measurements: - - name: coastal_aerosol - dtype: int16 - nodata: -999 - resampling_method: nearest - src_varname: '1' - zlib: True - fletcher32: True - attrs: - long_name: "Nadir BRDF Adjusted Reflectance 0.43-0.45 microns (Coastal Aerosol)" - alias: "band_1" - coverage_content_type: physicalMeasurement - - name: blue - dtype: int16 - nodata: -999 - resampling_method: nearest - src_varname: '2' - zlib: True - fletcher32: True - attrs: - long_name: "Nadir BRDF Adjusted Reflectance 0.45-0.51 microns (Blue)" - alias: "band_2" - coverage_content_type: physicalMeasurement - - name: green - dtype: int16 - nodata: -999 - resampling_method: nearest - src_varname: '3' - zlib: True - fletcher32: True - attrs: - long_name: "Nadir BRDF Adjusted Reflectance 0.53-0.59 microns (Green)" - alias: "band_3" - coverage_content_type: physicalMeasurement - - name: red - dtype: int16 - nodata: -999 - resampling_method: nearest - src_varname: '4' - zlib: True - fletcher32: True - attrs: - long_name: "Nadir BRDF Adjusted Reflectance 0.64-0.67 microns (Red)" - alias: "band_4" - coverage_content_type: physicalMeasurement - - name: nir - dtype: int16 - nodata: -999 - resampling_method: nearest - src_varname: '5' - zlib: True - fletcher32: True - attrs: - long_name: "Nadir BRDF Adjusted Reflectance 0.85-0.88 microns (Near Infrared)" - alias: "band_5" - coverage_content_type: physicalMeasurement - - name: swir1 - dtype: int16 - nodata: -999 - resampling_method: nearest - src_varname: '6' - zlib: True - fletcher32: True - attrs: - long_name: "Nadir BRDF Adjusted Reflectance 1.57-1.65 microns (Short-wave Infrared)" - alias: "band_6" - coverage_content_type: physicalMeasurement - - name: swir2 - dtype: int16 - nodata: -999 - resampling_method: nearest - src_varname: '7' - zlib: True - fletcher32: True - attrs: - long_name: "Nadir BRDF Adjusted Reflectance 2.11-2.29 microns (Short-wave Infrared)" - alias: "band_7" - coverage_content_type: physicalMeasurement diff --git a/digitalearthau/config/ingestion/ls8_nbart_oli_albers.yaml b/digitalearthau/config/ingestion/ls8_nbart_oli_albers.yaml deleted file mode 100644 index f777b97e..00000000 --- a/digitalearthau/config/ingestion/ls8_nbart_oli_albers.yaml +++ /dev/null @@ -1,206 +0,0 @@ -source_type: ls8_nbart_oli_scene -output_type: ls8_nbart_oli_albers -metadata_type: eo - -description: Landsat 8 Surface Relfectance NBART 25 metre, 100km tile, Australian Albers Equal Area projection (EPSG:3577) - -location: '/g/data/rs0/datacube/002/' -file_path_template: 'LS8_OLI_NBART/{tile_index[0]}_{tile_index[1]}/LS8_OLI_NBART_3577_{tile_index[0]}_{tile_index[1]}_{start_time}_v{version}.nc' -partial_ncml_path_template: 'LS8_OLI_NBART/{tile_index[0]}_{tile_index[1]}/LS8_OLI_NBART_3577_{tile_index[0]}_{tile_index[1]}_{start_time}.ncml' -ncml_path_template: 'LS8_OLI_NBART/LS8_OLI_NBART_3577_{tile_index[0]}_{tile_index[1]}.ncml' - -global_attributes: - title: Surface Reflectance NBAR+T 25 v2 - summary: | - Surface Reflectance (SR) is a suite of Earth Observation (EO) products from GA. The SR product suite provides standardised optical surface reflectance datasets using robust - physical models to correct for variations in image radiance values due to atmospheric properties, and sun and sensor geometry. The resulting stack of surface reflectance - grids are consistent over space and time which is instrumental in identifying and quantifying environmental change. SR is based on radiance data from the Landsat TM/ETM+ - and OLI sensors. - - The standardised SR data products deliver calibrated optical surface reflectance data across land and coastal fringes. SR is a medium resolution (~25 m) grid based on the - Landsat TM/ETM+/OLI archive and presents surface reflectance data in 25 square metre grid cells. - - Radiance measurements from EO sensors do not directly quantify the surface reflectance of the Earth. Such measurements are modified by variations in atmospheric - properties, sun position, sensor view angle, surface slope and surface aspect. To obtain consistent and comparable measures of Earth surface reflectance from EO, - these variations need to be reduced or removed from the radiance measurements (Li et al., 2010). This is especially important when comparing imagery acquired in - different seasons and geographic regions. - - The SR product is created using a physics-based coupled BRDF and atmospheric correction model that can be applied to both flat and inclined surfaces (Li et al., 2012). - The resulting surface reflectance values are comparable both within individual images and between images acquired at different times and/or with different sensors. - Terrain affects optical satellite images through both irradiance and bidirectional reflectance distribution function (BRDF) effects. Slopes facing the sun receive enhanced - solar irradiance and appear brighter compared to those facing away from the sun. For anisotropic surfaces, the radiance received at the satellite sensor from a sloping - surface is also affected by surface BRDF which varies with combinations of surface landcover types, sun, and satellite geometry (sun and sensor view, and their relative - azimuth angle) as well as topographic geometry (primarily slope and aspect angles). Consequently, to obtain comparable surface reflectance from satellite images covering - mountainous areas, it is necessary to process the images to reduce or remove the topographic effect so that the images can be used for different purposes on the same - spectral base. A Digital Surface Model (DSM) resolution appropriate to the scale of the resolution of satellite image is needed for the best results. 1 second SRTM DSM is - used for NBART processing. - - Landsat Archive - - GA has acquired Landsat imagery over Australia since 1979, including TM, ETM+ and OLI imagery. While this data has been used extensively for numerous - land and coastal mapping studies, its utility for accurate monitoring of environmental resources has been limited by the processing methods that have been traditionally - used to correct for inherent geometric and radiometric distortions in EO imagery. To improve access to Australia s archive of Landsat TM/ETM+/OLI data, several - collaborative projects have been undertaken in conjunction with industry, government and academic partners. These projects have enabled implementation of a - more integrated approach to image data correction that incorporates normalising models to account for atmospheric effects, BRDF and topographic shading (Li et al., 2012). - The approach has been applied to Landsat TM/ETM+ and OLI imagery to create the SR products. The advanced supercomputing facilities provided by the National - Computational Infrastructure (NCI) at the Australian National University (ANU) have been instrumental in handling the considerable data volumes and processing - complexities involved with production of this product. - - Surface Reflectance Correction Models - - Image radiance values recorded by passive EO sensors are a composite of - - surface reflectance; - - atmospheric condition; - - interaction between surface land cover, solar radiation and sensor view angle; - - land surface orientation relative to the imaging sensor. - - It has been traditionally assumed that Landsat imagery display negligible variation in sun and sensor view angles, however these can vary significantly both within - and between scenes, especially in different seasons and geographic regions (Li et al., 2012). The SR product delivers modeled surface reflectance from Landsat TM/ETM+/OLI - data using physical rather than empirical models. Accordingly, this product will ensure that reflective value differences between imagery acquired at different times by - different sensors will be primarily due to on-ground changes in biophysical parameters rather than artifacts of the imaging environment. - - Integrated Time Series Data - - Once consistent and comparable measures of surface reflectance have been retrieved from EO data, it is possible to quantify changes - in Earth surface features through time. - - Given the growing time series of EO imagery, this landmark facility will streamline the process of reliably monitoring long-term chnges in land and water resources. - comment: | - - Ground Control Points (GCP): new GCP chips released by USGS in Dec 2015 are used for re-processing - - Geometric QA: each product undergoes geometric assessment and the assessment result will be recorded within v2 AGDC for filtering/masking purposes. - - Processing parameter settings: the minimum number of GCPs for Ortho-rectified product generation has been reduced from 30 to 10. - - DEM: 1 second SRTM DSM is used for Ortho-rectification. - - Updated Calibration Parameter File (CPF): the latest/current CPF is used for processing. - institution: Commonwealth of Australia (Geoscience Australia) - instrument: OLI - keywords: AU/GA,NASA/GSFC/SED/ESD/LANDSAT,REFLECTANCE,ETM+,TM,OLI,EARTH SCIENCE - keywords_vocabulary: GCMD - platform: LANDSAT-8 - publisher_email: earth.observation@ga.gov.au - publisher_name: Section Leader, Operations Section, NEMO, Geoscience Australia - publisher_url: 'http://www.ga.gov.au' - source: remotely observed surface reflectance - license: CC BY Attribution 4.0 International License - cdm_data_type: Grid - product_suite: Surface Reflectance NBAR+T 25m - acknowledgment: Landsat data is provided by the United States Geological Survey (USGS) through direct reception of the data at Geoscience Australias satellite reception facility or download. - references: | - - Berk, A., Anderson, G.P., Acharya, P.K., Hoke, M.L., Chetwynd, J.H., Bernstein, L.S., Shettle, E.P., Matthew, M.W., and Adler-Golden, S.M. (2003) Modtran 4 Version 3 Revision 1 User s manual. Airforce Research Laboratory, Hanscom, MA, USA. - - Chander, G., Markham, B.L., and Helder, D.L. (2009) Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI sensors. Remote Sensing of Environment 113, 893-903. - - Edberg, R., and Oliver, S. (2013) Projection-Independent Earth-Solar-Sensor Geometry for Surface Reflectance Correction. Submitted to IGARSS 2013, Melbourne. - - GA and CSIRO (2010) 1 second SRTM Derived Digital Elevation Models User Guide. Version 1.03. GA, Canberra. - - Forrest, R.B. (1981) Simulation of orbital image-sensor geometry, Photogrammetric Engineering and Remote Sensing 47, 1187-93. - - Irish, R. (2000) Landsat 7 Automatic Cloud Cover Assessment, sourced: http://landsathandbook.gsfc.nasa.gov/pdfs/ACCA_SPIE_paper.pdf, last accessed 12/11/2012. - - Irish, R.R., Barker, J.L., Goward, S.N., Arvidson, T. (2006) Characterization of the Landsat-7 ETM+ Automated Cloud -Cover Assessment (ACCA) Algorithm, Photogrammetric Engineering & Remote Sensing 72 (10), 1179-88. - - Irons, J.R., Dwyer, J.L., and Barsi, J.A. (2012) The next Landsat satellite: The Landsat Data Continuity Mission. Remote Sensing of Environment (2012), doi:10.1016/j.rse.2011.08.026. - - Kalnay, E. Kanamitsu, M., Kistler, R., Collins, W., Deaven, D., Gandin, L., Iredell, M., Saha, S., White, G., Woollen, J., Zhu, Y., Chelliah, M., Ebisuzaki, W., Higgins, W., Janowiak, J., Mo, K.C., Ropelewski, C., Wang, J., Leetmaa, A., Reynolds, R. Jenne, R., Joseph, D. (1996) The NCEP/NCAR 40-Year Reanalysis Project. Bulletin of the American Meteorological Society 77, 437-71. - - Li, F., Jupp, D.L.B., Reddy, S., Lymburner, L., Mueller, N., Tan, P., and Islam, A. (2010) An Evaluation of the Use of Atmospheric and BRDF Correction to Standardize Landsat Data. IEEE J. Selected Topics in Applied Earth Observations and Remote Sensing 3, 257-70. - - Li, F. (2010) ARG25 Algorithm Theoretical Basis Document. GA, Canberra. - - Li, F., Jupp, D.L.B., Thankappan, M., Lymburner, L., Mueller, N., Lewis, A., and Held, A. (2012) A physics-based atmopheric and BRDF correction for Landsat data over mountainous terrain. Remote Sensing of Environment 124, 756-70. - - Lubke, M. (2012) Landsat Geometry Calibration/Validation Update. Presentation at LTWG #21, 25 September 2012, Sioux Falls. USGS, USA. - - OGC (2006) OpenGIS Web Map Server Implementation Specification (Ed: Jeff de la Beaujardiere) Ref. OGC 06-042. - - OGC (2010) OGC WCS 2.0 Interface Standard - Core. (Ed: Peter Baumann) Ref. OGC 09-110r3. - - OGC (2013) CF-netCDF3 Data Model Extension Standard (Eds: Ben Domenico and Stefano Nativi) Ref. OGC 11-165r2. - - Strahler, A.H., and Muller, J.-P. (1999) MODIS BRDF/Albedo Product: Algorithm Theoretical Basis Document Version 5.0. http://modis.gsfc.nasa.gov/data/atbd/atbd_mod09.pdf - - TM World Borders vector file: http://thematicmapping.org/downloads/world_borders.php. - - USGS (2012a) Landsat Thematic Mapper (TM) Level 1 (L1) Data Format Control Book (DFCB). LS-DFCB-20 Version 4.0. USGS, USA. http://landsat.usgs.gov/documents/LS-DFCB-20.pdf. - - USGS (2012b) Landsat 7 ETM+ Level 1 Product Data Format Control Book (DFCB). LS-DFCB-04 Version 15.0. http://landsat.usgs.gov/documents/LS-DFCB-04.pdf. - - Vincenty, T. (1975) Direct and Inverse Solutions of Geodesies on the Ellipsoid with Application of Nested Equations. Survey Review 23, 88-93. - - Zhu, Z. and Woodcock, C. E. (2012) Object-based cloud and cloud shadow detection in Landsat imagery. Remote Sensing of Environment 118, 83-94. - - http://dx.doi.org/10.4225/25/5487CC0D4F40B - - http://dx.doi.org/10.1109/JSTARS.2010.2042281 - -storage: - driver: NetCDF CF - - crs: EPSG:3577 - tile_size: - x: 100000.0 - y: 100000.0 - resolution: - x: 25 - y: -25 - chunking: - x: 200 - y: 200 - time: 5 - dimension_order: ['time', 'y', 'x'] - -measurements: - - name: coastal_aerosol - dtype: int16 - nodata: -999 - resampling_method: nearest - src_varname: '1' - zlib: True - fletcher32: True - attrs: - long_name: "Nadir BRDF Adjusted Reflectance 0.43-0.45 microns (Coastal Aerosol)" - alias: "band_1" - coverage_content_type: physicalMeasurement - - name: blue - dtype: int16 - nodata: -999 - resampling_method: nearest - src_varname: '2' - zlib: True - fletcher32: True - attrs: - long_name: "Nadir BRDF Adjusted Reflectance 0.45-0.51 microns (Blue)" - alias: "band_2" - coverage_content_type: physicalMeasurement - - name: green - dtype: int16 - nodata: -999 - resampling_method: nearest - src_varname: '3' - zlib: True - fletcher32: True - attrs: - long_name: "Nadir BRDF Adjusted Reflectance 0.53-0.59 microns (Green)" - alias: "band_3" - coverage_content_type: physicalMeasurement - - name: red - dtype: int16 - nodata: -999 - resampling_method: nearest - src_varname: '4' - zlib: True - fletcher32: True - attrs: - long_name: "Nadir BRDF Adjusted Reflectance 0.64-0.67 microns (Red)" - alias: "band_4" - coverage_content_type: physicalMeasurement - - name: nir - dtype: int16 - nodata: -999 - resampling_method: nearest - src_varname: '5' - zlib: True - fletcher32: True - attrs: - long_name: "Nadir BRDF Adjusted Reflectance 0.85-0.88 microns (Near Infrared)" - alias: "band_5" - coverage_content_type: physicalMeasurement - - name: swir1 - dtype: int16 - nodata: -999 - resampling_method: nearest - src_varname: '6' - zlib: True - fletcher32: True - attrs: - long_name: "Nadir BRDF Adjusted Reflectance 1.57-1.65 microns (Short-wave Infrared)" - alias: "band_6" - coverage_content_type: physicalMeasurement - - name: swir2 - dtype: int16 - nodata: -999 - resampling_method: nearest - src_varname: '7' - zlib: True - fletcher32: True - attrs: - long_name: "Nadir BRDF Adjusted Reflectance 2.11-2.29 microns (Short-wave Infrared)" - alias: "band_7" - coverage_content_type: physicalMeasurement diff --git a/digitalearthau/config/ingestion/ls8_pq_albers.yaml b/digitalearthau/config/ingestion/ls8_pq_albers.yaml deleted file mode 100644 index 637fd080..00000000 --- a/digitalearthau/config/ingestion/ls8_pq_albers.yaml +++ /dev/null @@ -1,118 +0,0 @@ -source_type: ls8_pq_scene -output_type: ls8_pq_albers -metadata_type: eo - -description: Landsat 8 Pixel Quality 25 metre, 100km tile, Australian Albers Equal Area projection (EPSG:3577) - -location: '/g/data/rs0/datacube/002/' -file_path_template: 'LS8_OLI_PQ/{tile_index[0]}_{tile_index[1]}/LS8_OLI_PQ_3577_{tile_index[0]}_{tile_index[1]}_{start_time}_v{version}.nc' -partial_ncml_path_template: 'LS8_OLI_PQ/{tile_index[0]}_{tile_index[1]}/LS8_OLI_PQ_3577_{tile_index[0]}_{tile_index[1]}_{start_time}.ncml' -ncml_path_template: 'LS8_OLI_PQ/LS8_OLI_PQ_3577_{tile_index[0]}_{tile_index[1]}.ncml' - -global_attributes: - title: Pixel Quality 25 v2 - summary: | - The PQ25 product facilitates interpretation and processing of Surface Reflectance (SR-N/NT), Fractional Cover 25 (FC25) - and derivative products. - - PQ25 is an assessment of each image pixel to determine if it is an unobscured, unsaturated observation - of the Earth surface and also whether the pixel is represented in each spectral band. The PQ product allows - users to produce masks which can be used to exclude pixels which do not meet their quality criteria from analysis . - The capacity to automatically exclude such pixels is essential for emerging multi-temporal analysis techniques that - make use of every quality assured pixel within a time series of observations.\nUsers can choose to process only land pixels, - or only sea pixels depending on their analytical requirements, leading to enhanced computationally efficient. - - PQ provides an assessment of the quality of observations at a pixel level and includes information about: - - Spectral Contiguity (lack of signal in any band) - - Saturation in any band - - Presence of cloud - - Presence of cloud shadow - - Land or sea - - As Landsat Imagery becomes more readily available, there has been a rapid increase in the amount of analyses undertaken - by researchers around the globe. Most researchers use some form of quality masking schema in order to remove undesirable - pixels from analysis, whether that be cloud, cloud shadow, observations over the ocean, or saturated pixels. In the past, - researchers would reject partly cloud-affected scenes in favour of cloud-free scenes. However, Landsat time series analysis - using all cloud-free pixels has become a valuable technique and has increased the demand for automation of cloud, cloud - shadow and saturation detection. Emergency response applications such as flood mapping typically have to contend with - individual cloud affected scenes and therefore rely on effective cloud and cloud shadow removal techniques. - - The PQ25 product combines established algorithms that detect clouds including the Automated Cloud Cover Assessment - (ACCA) (Irish et al. 2006) and Function of mask (Fmask) (Zhu and Woodcock 2012) . ACCA is already widely used within the - remote sensing community; it is fast and relatively accurate. Fmask on the other hand is newer, but is rapidly becoming - more established, and can provide a more accurate cloud mask than ACCA in certain cloud environments. - - The sensor saturation flagging protocols developed for the Web Enabled Landsat Data (WELD) product as described - in Roy et al. (2011) are used to flag sensor saturation.\nThe PQ25 product has similarities to the QAB layer packaged - with OLI data, however it uses additional algorithms to detect cloud and cloud shadow, and is available for Landsat 5, 7 and 8. - comment: | - - Ground Control Points (GCP): new GCP chips released by USGS in Dec 2015 are used for re-processing - - Geometric QA: each product undergoes geometric assessment and the assessment result will be recorded within v2 AGDC for filtering/masking purposes. - - Processing parameter settings: the minimum number of GCPs for Ortho-rectified product generation has been reduced from 30 to 10. - - DEM: 1 second SRTM DSM is used for Ortho-rectification. - - Updated Calibration Parameter File (CPF): the latest/current CPF is used for processing. - institution: Commonwealth of Australia (Geoscience Australia) - instrument: OLI - keywords: AU/GA,NASA/GSFC/SED/ESD/LANDSAT,ETM+,TM,OLI,EARTH SCIENCE - keywords_vocabulary: GCMD - platform: LANDSAT-8 - publisher_email: earth.observation@ga.gov.au - publisher_name: Section Leader, Operations Section, NEMO, Geoscience Australia - publisher_url: http://www.ga.gov.au - source: remotely observed surface reflectance and modelled cloud/shadow - license: CC BY Attribution 4.0 International License - cdm_data_type: Grid - product_suite: Pixel Quality 25m - acknowledgment: Landsat data is provided by the United States Geological Survey (USGS) through direct reception of the data at Geoscience Australias satellite reception facility or download. - references: | - - Berk, A., Anderson, G.P., Acharya, P.K., Hoke, M.L., Chetwynd, J.H., Bernstein, L.S., Shettle, E.P., Matthew, M.W., and Adler-Golden, S.M. (2003) Modtran 4 Version 3 Revision 1 User s manual. Airforce Research Laboratory, Hanscom, MA, USA. - - Chander, G., Markham, B.L., and Helder, D.L. (2009) Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI sensors. Remote Sensing of Environment 113, 893-903. - - Edberg, R., and Oliver, S. (2013) Projection-Independent Earth-Solar-Sensor Geometry for Surface Reflectance Correction. Submitted to IGARSS 2013, Melbourne. - - Forrest, R.B. (1981) Simulation of orbital image-sensor geometry, Photogrammetric Engineering and Remote Sensing 47, 1187-93. - - GA and CSIRO (2010) 1 second SRTM Derived Digital Elevation Models User Guide. Version 1.03. GA, Canberra. - - Irish, R. (2000) Landsat 7 Automatic Cloud Cover Assessment, sourced: http://landsathandbook.gsfc.nasa.gov/pdfs/ACCA_SPIE_paper.pdf, last accessed 12/11/2012. - - Irons, J.R., Dwyer, J.L., and Barsi, J.A. (2012) The next Landsat satellite: The Landsat Data Continuity Mission. Remote Sensing of Environment (2012), doi:10.1016/j.rse.2011.08.026 - - Kalnay, E. Kanamitsu, M., Kistler, R., Collins, W., Deaven, D., Gandin, L., Iredell, M., Saha, S., White, G., Woollen, J., Zhu, Y., Chelliah, M., Ebisuzaki, W., Higgins, W., Janowiak, J., Mo, K.C., Ropelewski, C., Wang, J., Leetmaa, A., Reynolds, R. Jenne, R., Joseph, D. (1996) The NCEP/NCAR 40-Year Reanalysis Project. Bulletin of the American Meteorological Society 77, 437-71. - - Li, F., Jupp, D.L.B., Reddy, S., Lymburner, L., Mueller, N., Tan, P., and Islam, A. (2010) An Evaluation of the Use of Atmospheric and BRDF Correction to Standardize Landsat Data. IEEE J. Selected Topics in Applied Earth Observations and Remote Sensing 3, 257-70.;Li, F. (2010) ARG25 Algorithm Theoretical Basis Document. GA, Canberra. - - Li, F., Jupp, D.L.B., Thankappan, M., Lymburner, L., Mueller, N., Lewis, A., and Held, A. (2012) A physics-based atmopheric and BRDF correction for Landsat data over mountainous terrain. Remote Sensing of Environment 124, 756-70. - - Lubke, M. (2012) Landsat Geometry Calibration/Validation Update. Presentation at LTWG #21, 25 September 2012, Sioux Falls. USGS, USA. - - OGC (2006) OpenGIS Web Map Server Implementation Specification (Ed: Jeff de la Beaujardiere) Ref. OGC 06-042. - - OGC (2010) OGC WCS 2.0 Interface Standard - Core. (Ed: Peter Baumann) Ref. OGC 09-110r3. - - OGC (2013) CF-netCDF3 Data Model Extension Standard (Eds: Ben Domenico and Stefano Nativi) Ref. OGC 11-165r2. - - Roy, D.P., Ju, J., Kline, K., Scaramuzza, P.L., Kovalskyy, V., Hansen, M., Loveland, T.R., Vermote, E., & Zhang, C. (2010). Web-enabled Landsat Data (WELD): Landsat ETM+ composited mosaics of the conterminous United States. Remote Sensing of Environment, 114, 35-49. - - Sixsmith, J., Oliver, S., & Lymburner, L. (2013). A hybrid approach to automated Landsat pixel quality. In, Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International (pp. 4146-4149). - - Strahler, A.H., and Muller, J.-P. (1999) MODIS BRDF/Albedo Product: Algorithm Theoretical Basis Document Version 5.0. http://modis.gsfc.nasa.gov/data/atbd/atbd_mod09.pdf - - TM World Borders vector file: http://thematicmapping.org/downloads/world_borders.php - - USGS (2012a) Landsat Thematic Mapper (TM) Level 1 (L1) Data Format Control Book (DFCB). LS-DFCB-20 Version 4.0. USGS, USA. http://landsat.usgs.gov/documents/LS-DFCB-20.pdf - - USGS (2012b) Landsat 7 ETM+ Level 1 Product Data Format Control Book (DFCB). LS-DFCB-04 Version 15.0. http://landsat.usgs.gov/documents/LS-DFCB-04.pdf - - Vincenty, T. (1975) Direct and Inverse Solutions of Geodesies on the Ellipsoid with Application of Nested Equations. Survey Review 23, 88-93. - - Zhu, Z. and Woodcock, C. E. (2012) Object-based cloud and cloud shadow detection in Landsat imagery. Remote Sensing of Environment 118, 83-94. - - http://dx.doi.org/10.4225/25/55EF55788BAC1 - -storage: - driver: NetCDF CF - - crs: EPSG:3577 - tile_size: - x: 100000.0 - y: 100000.0 - resolution: - x: 25 - y: -25 - chunking: - x: 200 - y: 200 - time: 5 - dimension_order: ['time', 'y', 'x'] - -measurements: - - name: pixelquality - dtype: int16 - nodata: 0 - resampling_method: nearest - src_varname: pqa - zlib: True - fletcher32: True - attrs: - standard_name: surface_bidirectional_reflectance status_flag - coverage_content_type: qualityInformation diff --git a/digitalearthau/config/ingestion/ls8_pq_oli_albers.yaml b/digitalearthau/config/ingestion/ls8_pq_oli_albers.yaml deleted file mode 100644 index 959299fc..00000000 --- a/digitalearthau/config/ingestion/ls8_pq_oli_albers.yaml +++ /dev/null @@ -1,118 +0,0 @@ -source_type: ls8_pq_oli_scene -output_type: ls8_pq_oli_albers -metadata_type: eo - -description: Landsat 8 Pixel Quality 25 metre, 100km tile, Australian Albers Equal Area projection (EPSG:3577) - -location: '/g/data/rs0/datacube/002/' -file_path_template: 'LS8_OLI_PQ/{tile_index[0]}_{tile_index[1]}/LS8_OLI_PQ_3577_{tile_index[0]}_{tile_index[1]}_{start_time}_v{version}.nc' -partial_ncml_path_template: 'LS8_OLI_PQ/{tile_index[0]}_{tile_index[1]}/LS8_OLI_PQ_3577_{tile_index[0]}_{tile_index[1]}_{start_time}.ncml' -ncml_path_template: 'LS8_OLI_PQ/LS8_OLI_PQ_3577_{tile_index[0]}_{tile_index[1]}.ncml' - -global_attributes: - title: Pixel Quality 25 v2 - summary: | - The PQ25 product facilitates interpretation and processing of Surface Reflectance (SR-N/NT), Fractional Cover 25 (FC25) - and derivative products. - - PQ25 is an assessment of each image pixel to determine if it is an unobscured, unsaturated observation - of the Earth surface and also whether the pixel is represented in each spectral band. The PQ product allows - users to produce masks which can be used to exclude pixels which do not meet their quality criteria from analysis . - The capacity to automatically exclude such pixels is essential for emerging multi-temporal analysis techniques that - make use of every quality assured pixel within a time series of observations.\nUsers can choose to process only land pixels, - or only sea pixels depending on their analytical requirements, leading to enhanced computationally efficient. - - PQ provides an assessment of the quality of observations at a pixel level and includes information about: - - Spectral Contiguity (lack of signal in any band) - - Saturation in any band - - Presence of cloud - - Presence of cloud shadow - - Land or sea - - As Landsat Imagery becomes more readily available, there has been a rapid increase in the amount of analyses undertaken - by researchers around the globe. Most researchers use some form of quality masking schema in order to remove undesirable - pixels from analysis, whether that be cloud, cloud shadow, observations over the ocean, or saturated pixels. In the past, - researchers would reject partly cloud-affected scenes in favour of cloud-free scenes. However, Landsat time series analysis - using all cloud-free pixels has become a valuable technique and has increased the demand for automation of cloud, cloud - shadow and saturation detection. Emergency response applications such as flood mapping typically have to contend with - individual cloud affected scenes and therefore rely on effective cloud and cloud shadow removal techniques. - - The PQ25 product combines established algorithms that detect clouds including the Automated Cloud Cover Assessment - (ACCA) (Irish et al. 2006) and Function of mask (Fmask) (Zhu and Woodcock 2012) . ACCA is already widely used within the - remote sensing community; it is fast and relatively accurate. Fmask on the other hand is newer, but is rapidly becoming - more established, and can provide a more accurate cloud mask than ACCA in certain cloud environments. - - The sensor saturation flagging protocols developed for the Web Enabled Landsat Data (WELD) product as described - in Roy et al. (2011) are used to flag sensor saturation.\nThe PQ25 product has similarities to the QAB layer packaged - with OLI data, however it uses additional algorithms to detect cloud and cloud shadow, and is available for Landsat 5, 7 and 8. - comment: | - - Ground Control Points (GCP): new GCP chips released by USGS in Dec 2015 are used for re-processing - - Geometric QA: each product undergoes geometric assessment and the assessment result will be recorded within v2 AGDC for filtering/masking purposes. - - Processing parameter settings: the minimum number of GCPs for Ortho-rectified product generation has been reduced from 30 to 10. - - DEM: 1 second SRTM DSM is used for Ortho-rectification. - - Updated Calibration Parameter File (CPF): the latest/current CPF is used for processing. - institution: Commonwealth of Australia (Geoscience Australia) - instrument: OLI - keywords: AU/GA,NASA/GSFC/SED/ESD/LANDSAT,ETM+,TM,OLI,EARTH SCIENCE - keywords_vocabulary: GCMD - platform: LANDSAT-8 - publisher_email: earth.observation@ga.gov.au - publisher_name: Section Leader, Operations Section, NEMO, Geoscience Australia - publisher_url: http://www.ga.gov.au - source: remotely observed surface reflectance and modelled cloud/shadow - license: CC BY Attribution 4.0 International License - cdm_data_type: Grid - product_suite: Pixel Quality 25m - acknowledgment: Landsat data is provided by the United States Geological Survey (USGS) through direct reception of the data at Geoscience Australias satellite reception facility or download. - references: | - - Berk, A., Anderson, G.P., Acharya, P.K., Hoke, M.L., Chetwynd, J.H., Bernstein, L.S., Shettle, E.P., Matthew, M.W., and Adler-Golden, S.M. (2003) Modtran 4 Version 3 Revision 1 User s manual. Airforce Research Laboratory, Hanscom, MA, USA. - - Chander, G., Markham, B.L., and Helder, D.L. (2009) Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI sensors. Remote Sensing of Environment 113, 893-903. - - Edberg, R., and Oliver, S. (2013) Projection-Independent Earth-Solar-Sensor Geometry for Surface Reflectance Correction. Submitted to IGARSS 2013, Melbourne. - - Forrest, R.B. (1981) Simulation of orbital image-sensor geometry, Photogrammetric Engineering and Remote Sensing 47, 1187-93. - - GA and CSIRO (2010) 1 second SRTM Derived Digital Elevation Models User Guide. Version 1.03. GA, Canberra. - - Irish, R. (2000) Landsat 7 Automatic Cloud Cover Assessment, sourced: http://landsathandbook.gsfc.nasa.gov/pdfs/ACCA_SPIE_paper.pdf, last accessed 12/11/2012. - - Irons, J.R., Dwyer, J.L., and Barsi, J.A. (2012) The next Landsat satellite: The Landsat Data Continuity Mission. Remote Sensing of Environment (2012), doi:10.1016/j.rse.2011.08.026 - - Kalnay, E. Kanamitsu, M., Kistler, R., Collins, W., Deaven, D., Gandin, L., Iredell, M., Saha, S., White, G., Woollen, J., Zhu, Y., Chelliah, M., Ebisuzaki, W., Higgins, W., Janowiak, J., Mo, K.C., Ropelewski, C., Wang, J., Leetmaa, A., Reynolds, R. Jenne, R., Joseph, D. (1996) The NCEP/NCAR 40-Year Reanalysis Project. Bulletin of the American Meteorological Society 77, 437-71. - - Li, F., Jupp, D.L.B., Reddy, S., Lymburner, L., Mueller, N., Tan, P., and Islam, A. (2010) An Evaluation of the Use of Atmospheric and BRDF Correction to Standardize Landsat Data. IEEE J. Selected Topics in Applied Earth Observations and Remote Sensing 3, 257-70.;Li, F. (2010) ARG25 Algorithm Theoretical Basis Document. GA, Canberra. - - Li, F., Jupp, D.L.B., Thankappan, M., Lymburner, L., Mueller, N., Lewis, A., and Held, A. (2012) A physics-based atmopheric and BRDF correction for Landsat data over mountainous terrain. Remote Sensing of Environment 124, 756-70. - - Lubke, M. (2012) Landsat Geometry Calibration/Validation Update. Presentation at LTWG #21, 25 September 2012, Sioux Falls. USGS, USA. - - OGC (2006) OpenGIS Web Map Server Implementation Specification (Ed: Jeff de la Beaujardiere) Ref. OGC 06-042. - - OGC (2010) OGC WCS 2.0 Interface Standard - Core. (Ed: Peter Baumann) Ref. OGC 09-110r3. - - OGC (2013) CF-netCDF3 Data Model Extension Standard (Eds: Ben Domenico and Stefano Nativi) Ref. OGC 11-165r2. - - Roy, D.P., Ju, J., Kline, K., Scaramuzza, P.L., Kovalskyy, V., Hansen, M., Loveland, T.R., Vermote, E., & Zhang, C. (2010). Web-enabled Landsat Data (WELD): Landsat ETM+ composited mosaics of the conterminous United States. Remote Sensing of Environment, 114, 35-49. - - Sixsmith, J., Oliver, S., & Lymburner, L. (2013). A hybrid approach to automated Landsat pixel quality. In, Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International (pp. 4146-4149). - - Strahler, A.H., and Muller, J.-P. (1999) MODIS BRDF/Albedo Product: Algorithm Theoretical Basis Document Version 5.0. http://modis.gsfc.nasa.gov/data/atbd/atbd_mod09.pdf - - TM World Borders vector file: http://thematicmapping.org/downloads/world_borders.php - - USGS (2012a) Landsat Thematic Mapper (TM) Level 1 (L1) Data Format Control Book (DFCB). LS-DFCB-20 Version 4.0. USGS, USA. http://landsat.usgs.gov/documents/LS-DFCB-20.pdf - - USGS (2012b) Landsat 7 ETM+ Level 1 Product Data Format Control Book (DFCB). LS-DFCB-04 Version 15.0. http://landsat.usgs.gov/documents/LS-DFCB-04.pdf - - Vincenty, T. (1975) Direct and Inverse Solutions of Geodesies on the Ellipsoid with Application of Nested Equations. Survey Review 23, 88-93. - - Zhu, Z. and Woodcock, C. E. (2012) Object-based cloud and cloud shadow detection in Landsat imagery. Remote Sensing of Environment 118, 83-94. - - http://dx.doi.org/10.4225/25/55EF55788BAC1 - -storage: - driver: NetCDF CF - - crs: EPSG:3577 - tile_size: - x: 100000.0 - y: 100000.0 - resolution: - x: 25 - y: -25 - chunking: - x: 200 - y: 200 - time: 5 - dimension_order: ['time', 'y', 'x'] - -measurements: - - name: pixelquality - dtype: int16 - nodata: 0 - resampling_method: nearest - src_varname: pqa - zlib: True - fletcher32: True - attrs: - standard_name: surface_bidirectional_reflectance status_flag - coverage_content_type: qualityInformation diff --git a/digitalearthau/config/metadata-types.odc-type.yaml b/digitalearthau/config/metadata-types.odc-type.yaml deleted file mode 100644 index 1b196913..00000000 --- a/digitalearthau/config/metadata-types.odc-type.yaml +++ /dev/null @@ -1,530 +0,0 @@ ---- -name: gqa_eo -description: Minimal eo metadata for products with GQA. -dataset: - id: ['id'] - creation_dt: ['system_information', 'time_processed'] - label: ['ga_label'] - measurements: ['image', 'bands'] - grid_spatial: ['grid_spatial', 'projection'] - format: ['format', 'name'] - sources: ['lineage', 'source_datasets'] - - search_fields: - region_code: - description: Spatial reference code from the provider - offset: [provider, reference_code] - - platform: - description: Platform code - offset: [platform, code] - indexed: false - - instrument: - description: Instrument name - offset: [instrument, name] - indexed: false - - product_type: - description: Product code - offset: [product_type] - - format: - description: File format (GeoTIFF, NetCDF) - offset: [format, name] - indexed: false - - lat: - description: Latitude range - type: double-range - max_offset: - - [extent, coord, ur, lat] - - [extent, coord, lr, lat] - - [extent, coord, ul, lat] - - [extent, coord, ll, lat] - min_offset: - - [extent, coord, ur, lat] - - [extent, coord, lr, lat] - - [extent, coord, ul, lat] - - [extent, coord, ll, lat] - - lon: - description: Longitude range - type: double-range - max_offset: - - [extent, coord, ul, lon] - - [extent, coord, ur, lon] - - [extent, coord, ll, lon] - - [extent, coord, lr, lon] - min_offset: - - [extent, coord, ul, lon] - - [extent, coord, ur, lon] - - [extent, coord, ll, lon] - - [extent, coord, lr, lon] - - time: - description: Acquisition time - type: datetime-range - min_offset: - - [extent, from_dt] - max_offset: - - [extent, to_dt] - - gqa: - description: GQA Circular error probable (90%) - type: double - offset: [gqa, cep90] - indexed: false - gqa_error_message: - description: GQA Error Message - offset: [gqa, error_message] - indexed: false - gqa_final_gcp_count: - description: GQA GCP Count - offset: [gqa, final_gcp_count] - type: integer - indexed: false - gqa_ref_source: - description: GQA reference imagery collection name - offset: [gqa, ref_source] - indexed: false - gqa_cep90: - description: Circular error probable (90%) of the values of the GCP residuals - offset: [gqa, residual, cep90] - type: double - indexed: false - gqa_abs_xy: - description: Absolute value of the total GCP residual - offset: [gqa, residual, abs, xy] - type: double - indexed: false - gqa_abs_iterative_mean_xy: - description: Mean of the absolute values of the GCP residuals after removal of outliers - offset: [gqa, residual, abs_iterative_mean, xy] - type: double - indexed: false - gqa_iterative_mean_xy: - description: Mean of the values of the GCP residuals after removal of outliers - offset: [gqa, residual, iterative_mean, xy] - type: double - indexed: false - gqa_iterative_stddev_xy: - description: Standard Deviation of the values of the GCP residuals after removal of outliers - offset: [gqa, residual, iterative_stddev, xy] - type: double - indexed: false - gqa_mean_xy: - description: Mean of the values of the GCP residuals - offset: [gqa, residual, mean, xy] - type: double - indexed: false - gqa_stddev_xy: - description: Standard Deviation of the values of the GCP residuals - offset: [gqa, residual, stddev, xy] - type: double - indexed: false - ---- -name: eo -description: Minimal eo metadata for products without custom fields. -dataset: - id: ['id'] - creation_dt: ['creation_dt'] - label: ['ga_label'] - measurements: ['image', 'bands'] - grid_spatial: ['grid_spatial', 'projection'] - format: ['format', 'name'] - sources: ['lineage', 'source_datasets'] - - search_fields: - platform: - description: Platform code - offset: [platform, code] - indexed: false - - instrument: - description: Instrument name - offset: [instrument, name] - indexed: false - - product_type: - description: Product code - offset: [product_type] - - format: - description: File format (GeoTIFF, NetCDF) - offset: [format, name] - indexed: false - - lat: - description: Latitude range - type: double-range - max_offset: - - [extent, coord, ur, lat] - - [extent, coord, lr, lat] - - [extent, coord, ul, lat] - - [extent, coord, ll, lat] - min_offset: - - [extent, coord, ur, lat] - - [extent, coord, lr, lat] - - [extent, coord, ul, lat] - - [extent, coord, ll, lat] - - lon: - description: Longitude range - type: double-range - max_offset: - - [extent, coord, ul, lon] - - [extent, coord, ur, lon] - - [extent, coord, ll, lon] - - [extent, coord, lr, lon] - min_offset: - - [extent, coord, ul, lon] - - [extent, coord, ur, lon] - - [extent, coord, ll, lon] - - [extent, coord, lr, lon] - - time: - description: Acquisition time - type: datetime-range - min_offset: - - [extent, from_dt] - max_offset: - - [extent, to_dt] - ---- - -name: telemetry -description: | - telemetry datasets. - Type of datasets produced by the eodatasets library. - (or of similar structure) - https://github.com/GeoscienceAustralia/eo-datasets -dataset: - id: ['id'] - creation_dt: ['creation_dt'] - format: ['format', 'name'] - label: ['ga_label'] - sources: ['lineage', 'source_datasets'] - - search_fields: - platform: - description: Platform code - offset: [platform, code] - - instrument: - description: Instrument name - offset: [instrument, name] - indexed: false - - product_type: - description: Product code - offset: [product_type] - - time: - description: Acquisition time - type: datetime-range - min_offset: - - [acquisition, aos] - max_offset: - - [acquisition, los] - - gsi: - description: Ground Station Identifier (eg. ASA) - offset: [acquisition, groundstation, code] - indexed: false - - orbit: - description: Orbit number - offset: [acquisition, platform_orbit] - indexed: False - - sat_path: - description: Landsat path - indexed: false - - type: integer-range - min_offset: - - [image, satellite_ref_point_start, x] - max_offset: - - [image, satellite_ref_point_end, x] - # If an end is not specified, use the start. - - [image, satellite_ref_point_start, x] - - sat_row: - description: Landsat row - indexed: false - - type: integer-range - min_offset: - - [image, satellite_ref_point_start, y] - max_offset: - - [image, satellite_ref_point_end, y] - # If an end is not specified, use the start. - - [image, satellite_ref_point_start, y] - ---- - -name: landsat_scene -description: | - Scene-based Landsat data -dataset: - id: ['id'] - creation_dt: ['creation_dt'] - label: ['ga_label'] - measurements: ['image', 'bands'] - grid_spatial: ['grid_spatial', 'projection'] - format: ['format', 'name'] - sources: ['lineage', 'source_datasets'] - - search_fields: - platform: - description: Platform code - offset: [platform, code] - - instrument: - description: Instrument name - offset: [instrument, name] - - product_type: - description: Product code - offset: [product_type] - indexed: false - - format: - description: File format (GeoTIFF, NetCDF) - offset: [format, name] - indexed: false - - lat: - description: Latitude range - type: double-range - max_offset: - - [extent, coord, ur, lat] - - [extent, coord, lr, lat] - - [extent, coord, ul, lat] - - [extent, coord, ll, lat] - min_offset: - - [extent, coord, ur, lat] - - [extent, coord, lr, lat] - - [extent, coord, ul, lat] - - [extent, coord, ll, lat] - - lon: - description: Longitude range - type: double-range - max_offset: - - [extent, coord, ul, lon] - - [extent, coord, ur, lon] - - [extent, coord, ll, lon] - - [extent, coord, lr, lon] - min_offset: - - [extent, coord, ul, lon] - - [extent, coord, ur, lon] - - [extent, coord, ll, lon] - - [extent, coord, lr, lon] - - time: - description: Acquisition time - type: datetime-range - min_offset: - - [extent, from_dt] - - [extent, center_dt] - max_offset: - - [extent, to_dt] - - [extent, center_dt] - - gsi: - description: Ground Station Identifier (eg. ASA) - offset: [acquisition, groundstation, code] - indexed: false - - orbit: - description: Orbit number - offset: [acquisition, platform_orbit] - indexed: false - - sat_path: - description: Landsat path - type: numeric-range - min_offset: - - [image, satellite_ref_point_start, x] - max_offset: - - [image, satellite_ref_point_end, x] - # If an end is not specified, use the start. - - [image, satellite_ref_point_start, x] - - sat_row: - description: Landsat row - type: numeric-range - min_offset: - - [image, satellite_ref_point_start, y] - max_offset: - - [image, satellite_ref_point_end, y] - # If an end is not specified, use the start. - - [image, satellite_ref_point_start, y] - ---- - -name: landsat_l1_scene -description: | - Scene-based Level1 Landsat data -dataset: - id: ['id'] - creation_dt: ['creation_dt'] - label: ['ga_label'] - measurements: ['image', 'bands'] - grid_spatial: ['grid_spatial', 'projection'] - format: ['format', 'name'] - sources: ['lineage', 'source_datasets'] - - search_fields: - platform: - description: Platform code - offset: [platform, code] - - instrument: - description: Instrument name - offset: [instrument, name] - - product_type: - description: Product code - offset: [product_type] - indexed: false - - product_level: - description: Product Level (eg. L1T) - offset: [product_level] - indexed: false - - format: - description: File format (GeoTIFF, NetCDF) - offset: [format, name] - indexed: false - - lat: - description: Latitude range - type: double-range - max_offset: - - [extent, coord, ur, lat] - - [extent, coord, lr, lat] - - [extent, coord, ul, lat] - - [extent, coord, ll, lat] - min_offset: - - [extent, coord, ur, lat] - - [extent, coord, lr, lat] - - [extent, coord, ul, lat] - - [extent, coord, ll, lat] - - lon: - description: Longitude range - type: double-range - max_offset: - - [extent, coord, ul, lon] - - [extent, coord, ur, lon] - - [extent, coord, ll, lon] - - [extent, coord, lr, lon] - min_offset: - - [extent, coord, ul, lon] - - [extent, coord, ur, lon] - - [extent, coord, ll, lon] - - [extent, coord, lr, lon] - - time: - description: Acquisition time - type: datetime-range - min_offset: - - [extent, from_dt] - - [extent, center_dt] - max_offset: - - [extent, to_dt] - - [extent, center_dt] - - gsi: - description: Ground Station Identifier (eg. ASA) - offset: [acquisition, groundstation, code] - indexed: false - - orbit: - description: Orbit number - offset: [acquisition, platform_orbit] - indexed: false - - ancillary_quality: - description: Ancillary quality - offset: [lineage, ancillary_quality] - indexed: false - - gqa: - description: GQA Circular error probable (90%) - type: double - offset: [gqa, cep90] - indexed: false - gqa_error_message: - description: GQA Error Message - offset: [gqa, error_message] - indexed: false - gqa_final_gcp_count: - description: GQA GCP Count - offset: [gqa, final_gcp_count] - type: integer - indexed: false - gqa_ref_source: - description: GQA reference imagery collection name - offset: [gqa, ref_source] - indexed: false - gqa_cep90: - description: Circular error probable (90%) of the values of the GCP residuals - offset: [gqa, residual, cep90] - type: double - indexed: false - gqa_abs_xy: - description: Absolute value of the total GCP residual - offset: [gqa, residual, abs, xy] - type: double - indexed: false - gqa_abs_iterative_mean_xy: - description: Mean of the absolute values of the GCP residuals after removal of outliers - offset: [gqa, residual, abs_iterative_mean, xy] - type: double - indexed: false - gqa_iterative_mean_xy: - description: Mean of the values of the GCP residuals after removal of outliers - offset: [gqa, residual, iterative_mean, xy] - type: double - indexed: false - gqa_iterative_stddev_xy: - description: Standard Deviation of the values of the GCP residuals after removal of outliers - offset: [gqa, residual, iterative_stddev, xy] - type: double - indexed: false - gqa_mean_xy: - description: Mean of the values of the GCP residuals - offset: [gqa, residual, mean, xy] - type: double - indexed: false - gqa_stddev_xy: - description: Standard Deviation of the values of the GCP residuals - offset: [gqa, residual, stddev, xy] - type: double - indexed: false - - sat_path: - description: Landsat path - type: numeric-range - min_offset: - - [image, satellite_ref_point_start, x] - max_offset: - - [image, satellite_ref_point_end, x] - # If an end is not specified, use the start. - - [image, satellite_ref_point_start, x] - - sat_row: - description: Landsat row - type: numeric-range - min_offset: - - [image, satellite_ref_point_start, y] - max_offset: - - [image, satellite_ref_point_end, y] - # If an end is not specified, use the start. - - [image, satellite_ref_point_start, y] diff --git a/digitalearthau/config/products/barest_earth_mosaic.odc-product.yaml b/digitalearthau/config/products/barest_earth_mosaic.odc-product.yaml deleted file mode 100644 index 9dd3667b..00000000 --- a/digitalearthau/config/products/barest_earth_mosaic.odc-product.yaml +++ /dev/null @@ -1,49 +0,0 @@ -name: ls8_barest_earth_mosaic -metadata_type: eo -description: Landsat-8 Barest Earth pixel composite mosaic 25 metre, 25km tile, Australian Albers Equal Area projection (EPSG:3577) -metadata: - format: - name: GeoTIFF - instrument: - name: OLI - platform: - code: LANDSAT_8 - product_type: landsat8_barest_earth_mosaic -measurements: - - dtype: int16 - name: blue - nodata: -999 - units: '1' - - dtype: int16 - name: green - nodata: -999 - units: '1' - - dtype: int16 - name: red - nodata: -999 - units: '1' - - dtype: int16 - name: nir - nodata: -999 - units: '1' - - dtype: int16 - name: swir1 - nodata: -999 - units: '1' - - dtype: int16 - name: swir2 - nodata: -999 - units: '1' -storage: - crs: EPSG:3577 - driver: GeoTIFF - dimension_order: - - time - - y - - x - resolution: - x: 25 - y: -25 - tile_size: - x: 100000.0 - y: 100000.0 diff --git a/digitalearthau/config/products/cemp_insar_alos_displacement.yaml b/digitalearthau/config/products/cemp_insar_alos_displacement.yaml deleted file mode 100644 index 7883bc54..00000000 --- a/digitalearthau/config/products/cemp_insar_alos_displacement.yaml +++ /dev/null @@ -1,33 +0,0 @@ -name: cemp_insar_alos_displacement -description: CEMP InSAR ALOS Displacement -metadata_type: eo3 - -metadata: - product: - name: cemp_insar_alos_displacement - -measurements: - - name: 'ew' - aliases: - - eastwest - dtype: float32 - nodata: -9999 - units: 'mm' - - name: 'ud' - aliases: - - updown - dtype: float32 - nodata: -9999 - units: 'mm' - - name: 'ewstd' - aliases: - - eastweststandarddev - dtype: float32 - nodata: -9999 - units: 'mm' - - name: 'upstd' - aliases: - - updownstandarddev - dtype: float32 - nodata: -9999 - units: 'mm' diff --git a/digitalearthau/config/products/cemp_insar_alos_velocity.yaml b/digitalearthau/config/products/cemp_insar_alos_velocity.yaml deleted file mode 100644 index 66d14a77..00000000 --- a/digitalearthau/config/products/cemp_insar_alos_velocity.yaml +++ /dev/null @@ -1,33 +0,0 @@ -name: cemp_insar_alos_velocity -description: CEMP InSAR ALOS Velocity -metadata_type: eo3 - -metadata: - product: - name: cemp_insar_alos_velocity - -measurements: - - name: 'ew' - aliases: - - eastwest - dtype: float32 - nodata: -9999 - units: 'mm/year' - - name: 'ud' - aliases: - - updown - dtype: float32 - nodata: -9999 - units: 'mm/year' - - name: 'ewstd' - aliases: - - eastweststandarddev - dtype: float32 - nodata: -9999 - units: 'mm/year' - - name: 'upstd' - aliases: - - updownstandarddev - dtype: float32 - nodata: -9999 - units: 'mm/year' diff --git a/digitalearthau/config/products/cemp_insar_envisat_displacement.yaml b/digitalearthau/config/products/cemp_insar_envisat_displacement.yaml deleted file mode 100644 index f233a0d8..00000000 --- a/digitalearthau/config/products/cemp_insar_envisat_displacement.yaml +++ /dev/null @@ -1,33 +0,0 @@ -name: cemp_insar_envisat_displacement -description: CEMP InSAR Envisat Displacement -metadata_type: eo3 - -metadata: - product: - name: cemp_insar_envisat_displacement - -measurements: - - name: 'ew' - aliases: - - eastwest - dtype: float32 - nodata: -9999 - units: 'mm' - - name: 'ud' - aliases: - - updown - dtype: float32 - nodata: -9999 - units: 'mm' - - name: 'ewstd' - aliases: - - eastweststandarddev - dtype: float32 - nodata: -9999 - units: 'mm' - - name: 'upstd' - aliases: - - updownstandarddev - dtype: float32 - nodata: -9999 - units: 'mm' diff --git a/digitalearthau/config/products/cemp_insar_envisat_velocity.yaml b/digitalearthau/config/products/cemp_insar_envisat_velocity.yaml deleted file mode 100644 index 082a69a4..00000000 --- a/digitalearthau/config/products/cemp_insar_envisat_velocity.yaml +++ /dev/null @@ -1,33 +0,0 @@ -name: cemp_insar_envisat_velocity -description: CEMP InSAR Envisat Velocity -metadata_type: eo3 - -metadata: - product: - name: cemp_insar_envisat_velocity - -measurements: - - name: 'ew' - aliases: - - eastwest - dtype: float32 - nodata: -9999 - units: 'mm' - - name: 'ud' - aliases: - - updown - dtype: float32 - nodata: -9999 - units: 'mm' - - name: 'ewstd' - aliases: - - eastweststandarddev - dtype: float32 - nodata: -9999 - units: 'mm' - - name: 'upstd' - aliases: - - updownstandarddev - dtype: float32 - nodata: -9999 - units: 'mm' diff --git a/digitalearthau/config/products/cemp_insar_radarsat2_displacement.yaml b/digitalearthau/config/products/cemp_insar_radarsat2_displacement.yaml deleted file mode 100644 index dde3336b..00000000 --- a/digitalearthau/config/products/cemp_insar_radarsat2_displacement.yaml +++ /dev/null @@ -1,33 +0,0 @@ -name: cemp_insar_radarsat2_displacement -description: CEMP InSAR Radarsat-2 Displacement -metadata_type: eo3 - -metadata: - product: - name: cemp_insar_radarsat2_displacement - -measurements: - - name: 'ew' - aliases: - - eastwest - dtype: float32 - nodata: -9999 - units: 'mm' - - name: 'ud' - aliases: - - updown - dtype: float32 - nodata: -9999 - units: 'mm' - - name: 'ewstd' - aliases: - - eastweststandarddev - dtype: float32 - nodata: -9999 - units: 'mm' - - name: 'upstd' - aliases: - - updownstandarddev - dtype: float32 - nodata: -9999 - units: 'mm' diff --git a/digitalearthau/config/products/cemp_insar_radarsat2_velocity.yaml b/digitalearthau/config/products/cemp_insar_radarsat2_velocity.yaml deleted file mode 100644 index 5e538664..00000000 --- a/digitalearthau/config/products/cemp_insar_radarsat2_velocity.yaml +++ /dev/null @@ -1,33 +0,0 @@ -name: cemp_insar_radarsat2_velocity -description: CEMP InSAR Radarsat-2 Velocity -metadata_type: eo3 - -metadata: - product: - name: cemp_insar_radarsat2_velocity - -measurements: - - name: 'ew' - aliases: - - eastwest - dtype: float32 - nodata: -9999 - units: 'mm/year' - - name: 'ud' - aliases: - - updown - dtype: float32 - nodata: -9999 - units: 'mm/year' - - name: 'ewstd' - aliases: - - eastweststandarddev - dtype: float32 - nodata: -9999 - units: 'mm/year' - - name: 'upstd' - aliases: - - updownstandarddev - dtype: float32 - nodata: -9999 - units: 'mm/year' diff --git a/digitalearthau/config/products/dsm1sv10.odc-product.yaml b/digitalearthau/config/products/dsm1sv10.odc-product.yaml deleted file mode 100644 index f14ef7b9..00000000 --- a/digitalearthau/config/products/dsm1sv10.odc-product.yaml +++ /dev/null @@ -1,25 +0,0 @@ ---- -name: dsm1sv10 -description: DSM 1sec Version 1.0 -metadata_type: eo - -metadata: - platform: - code: SRTM - format: - name: GeoTIFF - instrument: - name: SIR - product_type: DEM -storage: - crs: EPSG:4326 - resolution: - longitude: 0.000277777777780 - latitude: -0.000277777777780 - dimension_order: ["time", "latitude", "longitude"] - -measurements: - - name: elevation - dtype: float32 - nodata: .nan - units: 'metre' diff --git a/digitalearthau/config/products/fc_albers.odc-product.yaml b/digitalearthau/config/products/fc_albers.odc-product.yaml deleted file mode 100644 index 977c7742..00000000 --- a/digitalearthau/config/products/fc_albers.odc-product.yaml +++ /dev/null @@ -1,141 +0,0 @@ ---- -description: 'Landsat 5 Fractional Cover 25 metre, 100km tile, Australian Albers - Equal Area projection (EPSG:3577)' -managed: true -measurements: - - aliases: - - bare - dtype: int8 - name: BS - nodata: -1 - units: percent - - aliases: - - green_veg - dtype: int8 - name: PV - nodata: -1 - units: percent - - aliases: - - dead_veg - dtype: int8 - name: NPV - nodata: -1 - units: percent - - aliases: - - err - dtype: int8 - name: UE - nodata: -1 - units: '1' -metadata: - format: - name: NetCDF - instrument: - name: TM - platform: - code: LANDSAT_5 - product_type: fractional_cover -metadata_type: eo -name: ls5_fc_albers -storage: - crs: EPSG:3577 - resolution: - x: 25 - y: -25 - tile_size: - x: 100000.0 - y: 100000.0 ---- -description: 'Landsat 7 Fractional Cover 25 metre, 100km tile, Australian Albers - Equal Area projection (EPSG:3577)' -managed: true -measurements: - - aliases: - - bare - dtype: int8 - name: BS - nodata: -1 - units: percent - - aliases: - - green_veg - dtype: int8 - name: PV - nodata: -1 - units: percent - - aliases: - - dead_veg - dtype: int8 - name: NPV - nodata: -1 - units: percent - - aliases: - - err - dtype: int8 - name: UE - nodata: -1 - units: '1' -metadata: - format: - name: NetCDF - instrument: - name: ETM - platform: - code: LANDSAT_7 - product_type: fractional_cover -metadata_type: eo -name: ls7_fc_albers -storage: - crs: EPSG:3577 - resolution: - x: 25 - y: -25 - tile_size: - x: 100000.0 - y: 100000.0 ---- -description: 'Landsat 8 Fractional Cover 25 metre, 100km tile, Australian Albers - Equal Area projection (EPSG:3577)' -managed: true -measurements: - - aliases: - - bare - dtype: int8 - name: BS - nodata: -1 - units: percent - - aliases: - - green_veg - dtype: int8 - name: PV - nodata: -1 - units: percent - - aliases: - - dead_veg - dtype: int8 - name: NPV - nodata: -1 - units: percent - - aliases: - - err - dtype: int8 - name: UE - nodata: -1 - units: '1' -metadata: - format: - name: NetCDF - instrument: - name: OLI_TIRS - platform: - code: LANDSAT_8 - product_type: fractional_cover -metadata_type: eo -name: ls8_fc_albers -storage: - crs: EPSG:3577 - resolution: - x: 25 - y: -25 - tile_size: - x: 100000.0 - y: 100000.0 diff --git a/digitalearthau/config/products/fc_percentile_albers_annual.odc-product.yaml b/digitalearthau/config/products/fc_percentile_albers_annual.odc-product.yaml deleted file mode 100644 index 9eb3f2f7..00000000 --- a/digitalearthau/config/products/fc_percentile_albers_annual.odc-product.yaml +++ /dev/null @@ -1,72 +0,0 @@ -name: fc_percentile_albers_annual -description: Landsat Fractional Cover percentile 25 metre, 100km tile, Australian Albers Equal Area projection (EPSG:3577) - -metadata_type: eo - -metadata: - product_type: fractional_cover_statistical_summary - statistics: - period: '1y' - format: - name: NetCDF - platform: - code: LANDSAT_5,LANDSAT_7,LANDSAT_8 - instrument: - name: TM,ETM+,OLI - -storage: - driver: NetCDF CF - crs: EPSG:3577 - tile_size: - x: 100000.0 - y: 100000.0 - resolution: - x: 25 - y: -25 - dimension_order: [time, y, x] - -measurements: - - name: BS_PC_10 - dtype: int8 - nodata: -1 - units: 'percent' - - - name: PV_PC_10 - dtype: int8 - nodata: -1 - units: 'percent' - - - name: NPV_PC_10 - dtype: int8 - nodata: -1 - units: 'percent' - - - name: BS_PC_50 - dtype: int8 - nodata: -1 - units: 'percent' - - - name: PV_PC_50 - dtype: int8 - nodata: -1 - units: 'percent' - - - name: NPV_PC_50 - dtype: int8 - nodata: -1 - units: 'percent' - - - name: BS_PC_90 - dtype: int8 - nodata: -1 - units: 'percent' - - - name: PV_PC_90 - dtype: int8 - nodata: -1 - units: 'percent' - - - name: NPV_PC_90 - dtype: int8 - nodata: -1 - units: 'percent' diff --git a/digitalearthau/config/products/fc_percentile_albers_seasonal.odc-product.yaml b/digitalearthau/config/products/fc_percentile_albers_seasonal.odc-product.yaml deleted file mode 100644 index 01d35763..00000000 --- a/digitalearthau/config/products/fc_percentile_albers_seasonal.odc-product.yaml +++ /dev/null @@ -1,73 +0,0 @@ -name: fc_percentile_albers_seasonal -description: Landsat Fractional Cover percentile 25 metre, 100km tile, Australian Albers Equal Area projection (EPSG:3577) - -metadata_type: eo - -metadata: - product_type: fractional_cover_seasonal_summary - statistics: - period: '3m' - step: '3m' - format: - name: NetCDF - platform: - code: LANDSAT_5,LANDSAT_7,LANDSAT_8 - instrument: - name: TM,ETM+,OLI - -storage: - driver: NetCDF CF - crs: EPSG:3577 - tile_size: - x: 100000.0 - y: 100000.0 - resolution: - x: 25 - y: -25 - dimension_order: [time, y, x] - -measurements: - - name: BS_PC_10 - dtype: int8 - nodata: -1 - units: 'percent' - - - name: PV_PC_10 - dtype: int8 - nodata: -1 - units: 'percent' - - - name: NPV_PC_10 - dtype: int8 - nodata: -1 - units: 'percent' - - - name: BS_PC_50 - dtype: int8 - nodata: -1 - units: 'percent' - - - name: PV_PC_50 - dtype: int8 - nodata: -1 - units: 'percent' - - - name: NPV_PC_50 - dtype: int8 - nodata: -1 - units: 'percent' - - - name: BS_PC_90 - dtype: int8 - nodata: -1 - units: 'percent' - - - name: PV_PC_90 - dtype: int8 - nodata: -1 - units: 'percent' - - - name: NPV_PC_90 - dtype: int8 - nodata: -1 - units: 'percent' diff --git a/digitalearthau/config/products/ga_s2_ard.odc-product.yaml b/digitalearthau/config/products/ga_s2_ard.odc-product.yaml deleted file mode 100644 index e1e7ec94..00000000 --- a/digitalearthau/config/products/ga_s2_ard.odc-product.yaml +++ /dev/null @@ -1,1853 +0,0 @@ -description: Sentinel-2A MSI ARD - NBAR NBART and Pixel Quality -measurements: - - aliases: [azimuthal_exiting] - dtype: float32 - name: azimuthal_exiting - nodata: -999 - units: '1' - - aliases: [azimuthal_incident] - dtype: float32 - name: azimuthal_incident - nodata: -999 - units: '1' - - aliases: [exiting] - dtype: float32 - name: exiting - nodata: -999 - units: '1' - - aliases: [incident] - dtype: float32 - name: incident - nodata: -999 - units: '1' - - aliases: [relative_azimuth] - dtype: float32 - name: relative_azimuth - nodata: -999 - units: '1' - - aliases: [relative_slope] - dtype: float32 - name: relative_slope - nodata: -999 - units: '1' - - aliases: [satellite_azimuth] - dtype: float32 - name: satellite_azimuth - nodata: -999 - units: '1' - - aliases: [satellite_view] - dtype: float32 - name: satellite_view - nodata: -999 - units: '1' - - aliases: [solar_azimuth] - dtype: float32 - name: solar_azimuth - nodata: -999 - units: '1' - - aliases: [solar_zenith] - dtype: float32 - name: solar_zenith - nodata: -999 - units: '1' - - aliases: [terrain_shadow] - dtype: uint8 - name: terrain_shadow - nodata: 0 - units: '1' - - aliases: [mask, Fmask] - dtype: uint8 - flags_definition: - fmask: - bits: [0, 1, 2, 3, 4, 5, 6, 7] - description: Fmask - values: {'0': nodata, '1': valid, '2': cloud, '3': shadow, '4': snow, - '5': water} - name: fmask - nodata: 0 - units: '1' - - dtype: uint8 - flags_definition: - contiguity: - bits: [0, 1, 2, 3, 4, 5, 6, 7] - description: Pixel contiguity in band stack - values: {'0': not_contiguous, '1': contiguous} - name: nbar_contiguity - nodata: 255 - units: '1' - - aliases: [nbar_band_01, nbar_B01, nbar_Band1] - dtype: int16 - name: nbar_coastal_aerosol - nodata: -999 - spectral_definition: - response: [0.015297, 0.067133, 0.19593, 0.357242, 0.460571, 0.511598, 0.551051, - 0.587385, 0.613478, 0.650014, 0.699199, 0.74543, 0.792047, 0.862824, 0.947307, - 0.993878, 1.0, 0.990178, 0.972897, 0.957042, 0.956726, 0.922389, 0.723933, - 0.388302, 0.14596, 0.051814, 0.017459, 0.000303] - wavelength: [430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, - 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, - 457] - units: '1' - - aliases: [nbar_band_02, nbar_B02, nbar_Band2] - dtype: int16 - name: nbar_blue - nodata: -999 - spectral_definition: - response: [0.001206, 0.00204, 0.002623, 0.002738, 0.002746, 0.002076, 0.003246, - 0.002224, 0.002789, 0.003127, 0.002377, 0.003776, 0.002856, 0.003063, - 0.00607, 0.009028, 0.019547, 0.038955, 0.084088, 0.176255, 0.292197, 0.364612, - 0.382418, 0.385789, 0.393447, 0.400158, 0.410291, 0.424686, 0.449286, - 0.481594, 0.505323, 0.523406, 0.529543, 0.534688, 0.533786, 0.534656, - 0.5381, 0.543691, 0.557717, 0.578585, 0.601967, 0.616037, 0.621092, 0.613597, - 0.596062, 0.575863, 0.558063, 0.546131, 0.542099, 0.553602, 0.571684, - 0.598269, 0.633236, 0.67337, 0.711752, 0.738396, 0.758249, 0.768325, 0.773367, - 0.780468, 0.788363, 0.795449, 0.809151, 0.824011, 0.837709, 0.844983, - 0.847328, 0.840111, 0.825797, 0.804778, 0.78694, 0.771578, 0.761923, 0.765487, - 0.781682, 0.810031, 0.850586, 0.901671, 0.95467, 0.987257, 1.0, 0.986389, - 0.908308, 0.724, 0.478913, 0.286992, 0.169976, 0.102833, 0.065163, 0.04116, - 0.02508, 0.013112, 0.002585, 0.001095, 0.000308, 0.000441, 0.0, 0.0, 0.000443] - wavelength: [440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, - 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, - 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, - 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, - 495, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, - 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, - 523, 524, 525, 526, 527, 528, 529, 530, 531, 532, 533, 534, 535, 536, - 537, 538] - units: '1' - - aliases: [nbar_band_03, nbar_B03, nbar_Band3] - dtype: int16 - name: nbar_green - nodata: -999 - spectral_definition: - response: [0.00084, 0.016372, 0.037688, 0.080665, 0.169509, 0.341374, 0.573031, - 0.746711, 0.828036, 0.868228, 0.888565, 0.891572, 0.87815, 0.860271, 0.843698, - 0.834035, 0.832617, 0.844968, 0.867734, 0.897361, 0.933938, 0.966923, - 0.990762, 1.0, 0.997812, 0.981107, 0.947088, 0.907183, 0.868656, 0.837622, - 0.81291, 0.792434, 0.7851, 0.789606, 0.807011, 0.830458, 0.846433, 0.858402, - 0.85799, 0.799824, 0.62498, 0.386994, 0.200179, 0.098293, 0.042844, 0.016512] - wavelength: [537, 538, 539, 540, 541, 542, 543, 544, 545, 546, 547, 548, 549, - 550, 551, 552, 553, 554, 555, 556, 557, 558, 559, 560, 561, 562, 563, - 564, 565, 566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, - 578, 579, 580, 581, 582] - units: '1' - - aliases: [nbar_band_04, nbar_B04, nbar_Band4] - dtype: int16 - name: nbar_red - nodata: -999 - spectral_definition: - response: [0.002584, 0.034529, 0.14997, 0.464826, 0.817746, 0.965324, 0.983869, - 0.9969, 1.0, 0.995449, 0.991334, 0.977215, 0.936802, 0.873776, 0.814166, - 0.776669, 0.764864, 0.775091, 0.801359, 0.830828, 0.857112, 0.883581, - 0.90895, 0.934759, 0.955931, 0.96811, 0.973219, 0.971572, 0.969003, 0.965712, - 0.960481, 0.944811, 0.884152, 0.706167, 0.422967, 0.189853, 0.063172, - 0.020615, 0.002034] - wavelength: [646, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, - 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, - 673, 674, 675, 676, 677, 678, 679, 680, 681, 682, 683, 684] - units: '1' - - aliases: [nbar_band_05, nbar_B05, nbar_Band5] - dtype: int16 - name: nbar_red_edge_1 - nodata: -999 - spectral_definition: - response: [0.001187, 0.04126, 0.167712, 0.478496, 0.833878, 0.985479, 1.0, - 0.999265, 0.993239, 0.982416, 0.965583, 0.945953, 0.924699, 0.902399, - 0.885582, 0.861231, 0.757197, 0.521268, 0.196706, 0.036825] - wavelength: [694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 706, - 707, 708, 709, 710, 711, 712, 713] - units: '1' - - aliases: [nbar_band_06, nbar_B06, nbar_Band6] - dtype: int16 - name: nbar_red_edge_2 - nodata: -999 - spectral_definition: - response: [0.005331, 0.085006, 0.345714, 0.750598, 0.920265, 0.917917, 0.934211, - 0.957861, 0.975829, 0.981932, 0.981518, 0.993406, 1.0, 0.982579, 0.962584, - 0.854908, 0.506722, 0.135357, 0.013438] - wavelength: [731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, - 744, 745, 746, 747, 748, 749] - units: '1' - - aliases: [nbar_band_07, nbar_B07, nbar_Band7] - dtype: int16 - name: nbar_red_edge_3 - nodata: -999 - spectral_definition: - response: [0.001595, 0.014731, 0.067032, 0.199495, 0.422803, 0.694015, 0.898494, - 0.983173, 0.994759, 1.0, 0.994913, 0.964657, 0.908117, 0.846898, 0.802091, - 0.778839, 0.777241, 0.789523, 0.800984, 0.802916, 0.791711, 0.757695, - 0.677951, 0.536855, 0.364033, 0.193498, 0.077219, 0.019707, 0.003152] - wavelength: [769, 770, 771, 772, 773, 774, 775, 776, 777, 778, 779, 780, 781, - 782, 783, 784, 785, 786, 787, 788, 789, 790, 791, 792, 793, 794, 795, - 796, 797] - units: '1' - - aliases: [nbar_band_08, nbar_B08, nbar_Band8] - dtype: int16 - name: nbar_nir_1 - nodata: -999 - spectral_definition: - response: [0.000451, 0.007614, 0.019072, 0.033498, 0.056536, 0.087148, 0.13246, - 0.203436, 0.314068, 0.450085, 0.587433, 0.714518, 0.81829, 0.902932, 0.960732, - 0.993723, 1.0, 0.985213, 0.958376, 0.93655, 0.925816, 0.930376, 0.941281, - 0.953344, 0.962183, 0.965631, 0.963105, 0.959009, 0.951205, 0.945147, - 0.943136, 0.945814, 0.945357, 0.943762, 0.937084, 0.92789, 0.915897, 0.900979, - 0.881577, 0.86216, 0.8432, 0.822684, 0.801819, 0.776911, 0.755632, 0.737893, - 0.722217, 0.708669, 0.698416, 0.690211, 0.682257, 0.681494, 0.682649, - 0.678491, 0.67595, 0.671304, 0.665538, 0.660812, 0.658739, 0.65831, 0.66407, - 0.672731, 0.685501, 0.701159, 0.720686, 0.742292, 0.75953, 0.776608, 0.784061, - 0.78772, 0.787693, 0.783525, 0.776161, 0.768339, 0.759264, 0.745943, 0.733022, - 0.720589, 0.706663, 0.69087, 0.675896, 0.661558, 0.649339, 0.638008, 0.627424, - 0.618963, 0.610945, 0.604322, 0.597408, 0.591724, 0.586961, 0.582746, - 0.581202, 0.57948, 0.580197, 0.582505, 0.585308, 0.589481, 0.592827, 0.596749, - 0.601372, 0.603234, 0.605476, 0.608972, 0.613463, 0.618715, 0.626841, - 0.637436, 0.648791, 0.659233, 0.66734, 0.668624, 0.659924, 0.641666, 0.615841, - 0.583567, 0.552076, 0.526407, 0.507116, 0.49653, 0.499119, 0.512088, 0.529093, - 0.542739, 0.537964, 0.495953, 0.419305, 0.326791, 0.231085, 0.14854, 0.089683, - 0.054977, 0.033246, 0.019774, 0.007848, 0.001286] - wavelength: [773, 774, 775, 776, 777, 778, 779, 780, 781, 782, 783, 784, 785, - 786, 787, 788, 789, 790, 791, 792, 793, 794, 795, 796, 797, 798, 799, - 800, 801, 802, 803, 804, 805, 806, 807, 808, 809, 810, 811, 812, 813, - 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, - 828, 829, 830, 831, 832, 833, 834, 835, 836, 837, 838, 839, 840, 841, - 842, 843, 844, 845, 846, 847, 848, 849, 850, 851, 852, 853, 854, 855, - 856, 857, 858, 859, 860, 861, 862, 863, 864, 865, 866, 867, 868, 869, - 870, 871, 872, 873, 874, 875, 876, 877, 878, 879, 880, 881, 882, 883, - 884, 885, 886, 887, 888, 889, 890, 891, 892, 893, 894, 895, 896, 897, - 898, 899, 900, 901, 902, 903, 904, 905, 906, 907, 908] - units: '1' - - aliases: [nbar_band_8A, nbar_B8A, nbar_Band8A] - dtype: int16 - name: nbar_nir_2 - nodata: -999 - spectral_definition: - response: [0.001651, 0.013242, 0.02471, 0.051379, 0.104944, 0.216577, 0.384865, - 0.585731, 0.774481, 0.87843, 0.914944, 0.922574, 0.926043, 0.929676, 0.935962, - 0.946583, 0.955792, 0.965458, 0.974461, 0.97988, 0.983325, 0.982881, 0.988474, - 1.0, 0.999626, 0.921005, 0.728632, 0.472189, 0.238082, 0.106955, 0.046096, - 0.022226, 0.008819, 0.000455] - wavelength: [848, 849, 850, 851, 852, 853, 854, 855, 856, 857, 858, 859, 860, - 861, 862, 863, 864, 865, 866, 867, 868, 869, 870, 871, 872, 873, 874, - 875, 876, 877, 878, 879, 880, 881] - units: '1' - - aliases: [nbar_band_11, nbar_B11, nbar_Band11] - dtype: int16 - name: nbar_swir_2 - nodata: -999 - spectral_definition: - response: [7.0e-06, 7.0e-06, 8.0e-06, 2.8e-05, 3.8e-05, 9.1e-05, 0.000147, - 0.000251, 0.00048, 0.00057, 0.000662, 0.000911, 0.001166, 0.001684, 0.002458, - 0.003567, 0.005345, 0.008318, 0.012628, 0.018996, 0.027781, 0.039584, - 0.054865, 0.07493, 0.10107, 0.135476, 0.182597, 0.247276, 0.330736, 0.429691, - 0.537634, 0.647173, 0.743528, 0.815215, 0.859202, 0.879669, 0.88703, 0.889098, - 0.891417, 0.897586, 0.906631, 0.916528, 0.926579, 0.935322, 0.942394, - 0.947507, 0.951416, 0.954254, 0.956429, 0.958205, 0.960688, 0.96348, 0.965797, - 0.96818, 0.971012, 0.97338, 0.975915, 0.978581, 0.979878, 0.980589, 0.980912, - 0.981412, 0.981244, 0.980705, 0.980377, 0.981066, 0.982736, 0.985122, - 0.987807, 0.990376, 0.992016, 0.993288, 0.992536, 0.990405, 0.987128, - 0.983502, 0.980023, 0.976174, 0.972568, 0.969828, 0.967709, 0.966371, - 0.965849, 0.96605, 0.967427, 0.96987, 0.973463, 0.978683, 0.983472, 0.987635, - 0.991875, 0.995476, 0.997586, 0.998568, 0.999328, 0.999234, 0.998804, - 0.999111, 0.99973, 0.999745, 1.0, 0.999814, 0.996693, 0.99162, 0.985702, - 0.978569, 0.969903, 0.960896, 0.953287, 0.946546, 0.941712, 0.938586, - 0.935489, 0.928114, 0.912102, 0.880598, 0.82498, 0.743118, 0.641891, 0.534002, - 0.426963, 0.32371, 0.234284, 0.163972, 0.110211, 0.072478, 0.046194, 0.029401, - 0.019359, 0.013308, 0.009317, 0.006523, 0.004864, 0.003409, 0.002491, - 0.001958, 0.001423, 0.001055, 0.000498, 0.000228, 0.000159, 3.4e-05, 4.5e-05, - 1.3e-05] - wavelength: [1539, 1540, 1541, 1542, 1543, 1544, 1545, 1546, 1547, 1548, 1549, - 1550, 1551, 1552, 1553, 1554, 1555, 1556, 1557, 1558, 1559, 1560, 1561, - 1562, 1563, 1564, 1565, 1566, 1567, 1568, 1569, 1570, 1571, 1572, 1573, - 1574, 1575, 1576, 1577, 1578, 1579, 1580, 1581, 1582, 1583, 1584, 1585, - 1586, 1587, 1588, 1589, 1590, 1591, 1592, 1593, 1594, 1595, 1596, 1597, - 1598, 1599, 1600, 1601, 1602, 1603, 1604, 1605, 1606, 1607, 1608, 1609, - 1610, 1611, 1612, 1613, 1614, 1615, 1616, 1617, 1618, 1619, 1620, 1621, - 1622, 1623, 1624, 1625, 1626, 1627, 1628, 1629, 1630, 1631, 1632, 1633, - 1634, 1635, 1636, 1637, 1638, 1639, 1640, 1641, 1642, 1643, 1644, 1645, - 1646, 1647, 1648, 1649, 1650, 1651, 1652, 1653, 1654, 1655, 1656, 1657, - 1658, 1659, 1660, 1661, 1662, 1663, 1664, 1665, 1666, 1667, 1668, 1669, - 1670, 1671, 1672, 1673, 1674, 1675, 1676, 1677, 1678, 1679, 1680, 1681, - 1682] - units: '1' - - aliases: [nbar_band_12, nbar_B12, nbar_Band12] - dtype: int16 - name: nbar_swir_3 - nodata: -999 - spectral_definition: - response: [0.000639, 0.001023, 0.002885, 0.003997, 0.006597, 0.00766, 0.008004, - 0.00854, 0.0093, 0.010002, 0.010972, 0.012089, 0.013364, 0.015017, 0.017126, - 0.01978, 0.023336, 0.027668, 0.033216, 0.040217, 0.048883, 0.059642, 0.073175, - 0.090535, 0.11147, 0.136903, 0.167811, 0.203461, 0.242871, 0.284898, 0.327178, - 0.368404, 0.408003, 0.444778, 0.476537, 0.503107, 0.525318, 0.543352, - 0.557253, 0.568634, 0.57903, 0.588684, 0.598891, 0.609981, 0.621362, 0.634283, - 0.648546, 0.663707, 0.680046, 0.696165, 0.711964, 0.727011, 0.741301, - 0.757405, 0.772071, 0.785581, 0.798238, 0.809677, 0.819702, 0.828599, - 0.836722, 0.844443, 0.851107, 0.853252, 0.854746, 0.856174, 0.857821, - 0.859532, 0.86146, 0.863257, 0.865139, 0.867319, 0.869696, 0.874302, 0.878588, - 0.882439, 0.885929, 0.889473, 0.893226, 0.896696, 0.899897, 0.902596, - 0.904831, 0.905525, 0.905665, 0.905503, 0.905158, 0.904783, 0.904082, - 0.903347, 0.902761, 0.902377, 0.901983, 0.903424, 0.904313, 0.905315, - 0.906446, 0.908092, 0.910123, 0.91295, 0.915585, 0.918444, 0.921302, 0.924337, - 0.927219, 0.92974, 0.931922, 0.934142, 0.935906, 0.937086, 0.937641, 0.938301, - 0.937652, 0.940441, 0.942518, 0.943259, 0.943031, 0.942117, 0.940632, - 0.938428, 0.93666, 0.935256, 0.933022, 0.92688, 0.921057, 0.915483, 0.91102, - 0.908293, 0.907283, 0.908191, 0.911169, 0.916189, 0.922855, 0.920605, - 0.919482, 0.919489, 0.921276, 0.924526, 0.927733, 0.931974, 0.93677, 0.941483, - 0.946802, 0.951203, 0.954437, 0.957047, 0.959729, 0.962539, 0.964858, - 0.966042, 0.966647, 0.96631, 0.96546, 0.964841, 0.963656, 0.961698, 0.959454, - 0.957327, 0.95514, 0.953558, 0.952732, 0.952181, 0.951731, 0.952146, 0.952641, - 0.954057, 0.957078, 0.960639, 0.964222, 0.968307, 0.972691, 0.977423, - 0.982898, 0.987144, 0.990734, 0.993983, 0.996787, 0.998753, 1.0, 0.999927, - 0.999152, 0.997129, 0.993884, 0.989686, 0.983735, 0.976213, 0.967813, - 0.958343, 0.94844, 0.938203, 0.927725, 0.917039, 0.905999, 0.893868, 0.881683, - 0.868647, 0.854635, 0.84062, 0.826016, 0.809516, 0.791867, 0.772443, 0.749107, - 0.720346, 0.688185, 0.651283, 0.61005, 0.566031, 0.52097, 0.474659, 0.429259, - 0.385857, 0.342092, 0.30068, 0.263176, 0.227704, 0.195721, 0.16809, 0.14468, - 0.124831, 0.108237, 0.094401, 0.082363, 0.0715, 0.062691, 0.054985, 0.048195, - 0.042864, 0.038598, 0.034947, 0.031999, 0.029588, 0.027418, 0.025577, - 0.023959, 0.021672, 0.019148, 0.016331, 0.010989, 0.007379, 0.006511, - 0.00471, 0.002065] - wavelength: [2078, 2079, 2080, 2081, 2082, 2083, 2084, 2085, 2086, 2087, 2088, - 2089, 2090, 2091, 2092, 2093, 2094, 2095, 2096, 2097, 2098, 2099, 2100, - 2101, 2102, 2103, 2104, 2105, 2106, 2107, 2108, 2109, 2110, 2111, 2112, - 2113, 2114, 2115, 2116, 2117, 2118, 2119, 2120, 2121, 2122, 2123, 2124, - 2125, 2126, 2127, 2128, 2129, 2130, 2131, 2132, 2133, 2134, 2135, 2136, - 2137, 2138, 2139, 2140, 2141, 2142, 2143, 2144, 2145, 2146, 2147, 2148, - 2149, 2150, 2151, 2152, 2153, 2154, 2155, 2156, 2157, 2158, 2159, 2160, - 2161, 2162, 2163, 2164, 2165, 2166, 2167, 2168, 2169, 2170, 2171, 2172, - 2173, 2174, 2175, 2176, 2177, 2178, 2179, 2180, 2181, 2182, 2183, 2184, - 2185, 2186, 2187, 2188, 2189, 2190, 2191, 2192, 2193, 2194, 2195, 2196, - 2197, 2198, 2199, 2200, 2201, 2202, 2203, 2204, 2205, 2206, 2207, 2208, - 2209, 2210, 2211, 2212, 2213, 2214, 2215, 2216, 2217, 2218, 2219, 2220, - 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, - 2233, 2234, 2235, 2236, 2237, 2238, 2239, 2240, 2241, 2242, 2243, 2244, - 2245, 2246, 2247, 2248, 2249, 2250, 2251, 2252, 2253, 2254, 2255, 2256, - 2257, 2258, 2259, 2260, 2261, 2262, 2263, 2264, 2265, 2266, 2267, 2268, - 2269, 2270, 2271, 2272, 2273, 2274, 2275, 2276, 2277, 2278, 2279, 2280, - 2281, 2282, 2283, 2284, 2285, 2286, 2287, 2288, 2289, 2290, 2291, 2292, - 2293, 2294, 2295, 2296, 2297, 2298, 2299, 2300, 2301, 2302, 2303, 2304, - 2305, 2306, 2307, 2308, 2309, 2310, 2311, 2312, 2313, 2314, 2315, 2316, - 2317, 2318, 2319, 2320] - units: '1' - - dtype: uint8 - flags_definition: - contiguity: - bits: [0, 1, 2, 3, 4, 5, 6, 7] - description: Pixel contiguity in band stack - values: {'0': not_contiguous, '1': contiguous} - name: nbart_contiguity - nodata: 255 - units: '1' - - aliases: [nbart_band_01, nbart_B01, nbart_Band1] - dtype: int16 - name: nbart_coastal_aerosol - nodata: -999 - spectral_definition: - response: [0.015297, 0.067133, 0.19593, 0.357242, 0.460571, 0.511598, 0.551051, - 0.587385, 0.613478, 0.650014, 0.699199, 0.74543, 0.792047, 0.862824, 0.947307, - 0.993878, 1.0, 0.990178, 0.972897, 0.957042, 0.956726, 0.922389, 0.723933, - 0.388302, 0.14596, 0.051814, 0.017459, 0.000303] - wavelength: [430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, - 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, - 457] - units: '1' - - aliases: [nbart_band_02, nbart_B02, nbart_Band2] - dtype: int16 - name: nbart_blue - nodata: -999 - spectral_definition: - response: [0.001206, 0.00204, 0.002623, 0.002738, 0.002746, 0.002076, 0.003246, - 0.002224, 0.002789, 0.003127, 0.002377, 0.003776, 0.002856, 0.003063, - 0.00607, 0.009028, 0.019547, 0.038955, 0.084088, 0.176255, 0.292197, 0.364612, - 0.382418, 0.385789, 0.393447, 0.400158, 0.410291, 0.424686, 0.449286, - 0.481594, 0.505323, 0.523406, 0.529543, 0.534688, 0.533786, 0.534656, - 0.5381, 0.543691, 0.557717, 0.578585, 0.601967, 0.616037, 0.621092, 0.613597, - 0.596062, 0.575863, 0.558063, 0.546131, 0.542099, 0.553602, 0.571684, - 0.598269, 0.633236, 0.67337, 0.711752, 0.738396, 0.758249, 0.768325, 0.773367, - 0.780468, 0.788363, 0.795449, 0.809151, 0.824011, 0.837709, 0.844983, - 0.847328, 0.840111, 0.825797, 0.804778, 0.78694, 0.771578, 0.761923, 0.765487, - 0.781682, 0.810031, 0.850586, 0.901671, 0.95467, 0.987257, 1.0, 0.986389, - 0.908308, 0.724, 0.478913, 0.286992, 0.169976, 0.102833, 0.065163, 0.04116, - 0.02508, 0.013112, 0.002585, 0.001095, 0.000308, 0.000441, 0.0, 0.0, 0.000443] - wavelength: [440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, - 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, - 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, - 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, - 495, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, - 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, - 523, 524, 525, 526, 527, 528, 529, 530, 531, 532, 533, 534, 535, 536, - 537, 538] - units: '1' - - aliases: [nbart_band_03, nbart_B03, nbart_Band3] - dtype: int16 - name: nbart_green - nodata: -999 - spectral_definition: - response: [0.00084, 0.016372, 0.037688, 0.080665, 0.169509, 0.341374, 0.573031, - 0.746711, 0.828036, 0.868228, 0.888565, 0.891572, 0.87815, 0.860271, 0.843698, - 0.834035, 0.832617, 0.844968, 0.867734, 0.897361, 0.933938, 0.966923, - 0.990762, 1.0, 0.997812, 0.981107, 0.947088, 0.907183, 0.868656, 0.837622, - 0.81291, 0.792434, 0.7851, 0.789606, 0.807011, 0.830458, 0.846433, 0.858402, - 0.85799, 0.799824, 0.62498, 0.386994, 0.200179, 0.098293, 0.042844, 0.016512] - wavelength: [537, 538, 539, 540, 541, 542, 543, 544, 545, 546, 547, 548, 549, - 550, 551, 552, 553, 554, 555, 556, 557, 558, 559, 560, 561, 562, 563, - 564, 565, 566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, - 578, 579, 580, 581, 582] - units: '1' - - aliases: [nbart_band_04, nbart_B04, nbart_Band4] - dtype: int16 - name: nbart_red - nodata: -999 - spectral_definition: - response: [0.002584, 0.034529, 0.14997, 0.464826, 0.817746, 0.965324, 0.983869, - 0.9969, 1.0, 0.995449, 0.991334, 0.977215, 0.936802, 0.873776, 0.814166, - 0.776669, 0.764864, 0.775091, 0.801359, 0.830828, 0.857112, 0.883581, - 0.90895, 0.934759, 0.955931, 0.96811, 0.973219, 0.971572, 0.969003, 0.965712, - 0.960481, 0.944811, 0.884152, 0.706167, 0.422967, 0.189853, 0.063172, - 0.020615, 0.002034] - wavelength: [646, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, - 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, - 673, 674, 675, 676, 677, 678, 679, 680, 681, 682, 683, 684] - units: '1' - - aliases: [nbart_band_05, nbart_B05, nbart_Band5] - dtype: int16 - name: nbart_red_edge_1 - nodata: -999 - spectral_definition: - response: [0.001187, 0.04126, 0.167712, 0.478496, 0.833878, 0.985479, 1.0, - 0.999265, 0.993239, 0.982416, 0.965583, 0.945953, 0.924699, 0.902399, - 0.885582, 0.861231, 0.757197, 0.521268, 0.196706, 0.036825] - wavelength: [694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 706, - 707, 708, 709, 710, 711, 712, 713] - units: '1' - - aliases: [nbart_band_06, nbart_B06, nbart_Band6] - dtype: int16 - name: nbart_red_edge_2 - nodata: -999 - spectral_definition: - response: [0.005331, 0.085006, 0.345714, 0.750598, 0.920265, 0.917917, 0.934211, - 0.957861, 0.975829, 0.981932, 0.981518, 0.993406, 1.0, 0.982579, 0.962584, - 0.854908, 0.506722, 0.135357, 0.013438] - wavelength: [731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, - 744, 745, 746, 747, 748, 749] - units: '1' - - aliases: [nbart_band_07, nbart_B07, nbart_Band7] - dtype: int16 - name: nbart_red_edge_3 - nodata: -999 - spectral_definition: - response: [0.001595, 0.014731, 0.067032, 0.199495, 0.422803, 0.694015, 0.898494, - 0.983173, 0.994759, 1.0, 0.994913, 0.964657, 0.908117, 0.846898, 0.802091, - 0.778839, 0.777241, 0.789523, 0.800984, 0.802916, 0.791711, 0.757695, - 0.677951, 0.536855, 0.364033, 0.193498, 0.077219, 0.019707, 0.003152] - wavelength: [769, 770, 771, 772, 773, 774, 775, 776, 777, 778, 779, 780, 781, - 782, 783, 784, 785, 786, 787, 788, 789, 790, 791, 792, 793, 794, 795, - 796, 797] - units: '1' - - aliases: [nbart_band_08, nbart_B08, nbart_Band8] - dtype: int16 - name: nbart_nir_1 - nodata: -999 - spectral_definition: - response: [0.000451, 0.007614, 0.019072, 0.033498, 0.056536, 0.087148, 0.13246, - 0.203436, 0.314068, 0.450085, 0.587433, 0.714518, 0.81829, 0.902932, 0.960732, - 0.993723, 1.0, 0.985213, 0.958376, 0.93655, 0.925816, 0.930376, 0.941281, - 0.953344, 0.962183, 0.965631, 0.963105, 0.959009, 0.951205, 0.945147, - 0.943136, 0.945814, 0.945357, 0.943762, 0.937084, 0.92789, 0.915897, 0.900979, - 0.881577, 0.86216, 0.8432, 0.822684, 0.801819, 0.776911, 0.755632, 0.737893, - 0.722217, 0.708669, 0.698416, 0.690211, 0.682257, 0.681494, 0.682649, - 0.678491, 0.67595, 0.671304, 0.665538, 0.660812, 0.658739, 0.65831, 0.66407, - 0.672731, 0.685501, 0.701159, 0.720686, 0.742292, 0.75953, 0.776608, 0.784061, - 0.78772, 0.787693, 0.783525, 0.776161, 0.768339, 0.759264, 0.745943, 0.733022, - 0.720589, 0.706663, 0.69087, 0.675896, 0.661558, 0.649339, 0.638008, 0.627424, - 0.618963, 0.610945, 0.604322, 0.597408, 0.591724, 0.586961, 0.582746, - 0.581202, 0.57948, 0.580197, 0.582505, 0.585308, 0.589481, 0.592827, 0.596749, - 0.601372, 0.603234, 0.605476, 0.608972, 0.613463, 0.618715, 0.626841, - 0.637436, 0.648791, 0.659233, 0.66734, 0.668624, 0.659924, 0.641666, 0.615841, - 0.583567, 0.552076, 0.526407, 0.507116, 0.49653, 0.499119, 0.512088, 0.529093, - 0.542739, 0.537964, 0.495953, 0.419305, 0.326791, 0.231085, 0.14854, 0.089683, - 0.054977, 0.033246, 0.019774, 0.007848, 0.001286] - wavelength: [773, 774, 775, 776, 777, 778, 779, 780, 781, 782, 783, 784, 785, - 786, 787, 788, 789, 790, 791, 792, 793, 794, 795, 796, 797, 798, 799, - 800, 801, 802, 803, 804, 805, 806, 807, 808, 809, 810, 811, 812, 813, - 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, - 828, 829, 830, 831, 832, 833, 834, 835, 836, 837, 838, 839, 840, 841, - 842, 843, 844, 845, 846, 847, 848, 849, 850, 851, 852, 853, 854, 855, - 856, 857, 858, 859, 860, 861, 862, 863, 864, 865, 866, 867, 868, 869, - 870, 871, 872, 873, 874, 875, 876, 877, 878, 879, 880, 881, 882, 883, - 884, 885, 886, 887, 888, 889, 890, 891, 892, 893, 894, 895, 896, 897, - 898, 899, 900, 901, 902, 903, 904, 905, 906, 907, 908] - units: '1' - - aliases: [nbart_band_8A, nbart_B8A, nbart_Band8A] - dtype: int16 - name: nbart_nir_2 - nodata: -999 - spectral_definition: - response: [0.001651, 0.013242, 0.02471, 0.051379, 0.104944, 0.216577, 0.384865, - 0.585731, 0.774481, 0.87843, 0.914944, 0.922574, 0.926043, 0.929676, 0.935962, - 0.946583, 0.955792, 0.965458, 0.974461, 0.97988, 0.983325, 0.982881, 0.988474, - 1.0, 0.999626, 0.921005, 0.728632, 0.472189, 0.238082, 0.106955, 0.046096, - 0.022226, 0.008819, 0.000455] - wavelength: [848, 849, 850, 851, 852, 853, 854, 855, 856, 857, 858, 859, 860, - 861, 862, 863, 864, 865, 866, 867, 868, 869, 870, 871, 872, 873, 874, - 875, 876, 877, 878, 879, 880, 881] - units: '1' - - aliases: [nbart_band_11, nbart_B11, nbart_Band11] - dtype: int16 - name: nbart_swir_2 - nodata: -999 - spectral_definition: - response: [7.0e-06, 7.0e-06, 8.0e-06, 2.8e-05, 3.8e-05, 9.1e-05, 0.000147, - 0.000251, 0.00048, 0.00057, 0.000662, 0.000911, 0.001166, 0.001684, 0.002458, - 0.003567, 0.005345, 0.008318, 0.012628, 0.018996, 0.027781, 0.039584, - 0.054865, 0.07493, 0.10107, 0.135476, 0.182597, 0.247276, 0.330736, 0.429691, - 0.537634, 0.647173, 0.743528, 0.815215, 0.859202, 0.879669, 0.88703, 0.889098, - 0.891417, 0.897586, 0.906631, 0.916528, 0.926579, 0.935322, 0.942394, - 0.947507, 0.951416, 0.954254, 0.956429, 0.958205, 0.960688, 0.96348, 0.965797, - 0.96818, 0.971012, 0.97338, 0.975915, 0.978581, 0.979878, 0.980589, 0.980912, - 0.981412, 0.981244, 0.980705, 0.980377, 0.981066, 0.982736, 0.985122, - 0.987807, 0.990376, 0.992016, 0.993288, 0.992536, 0.990405, 0.987128, - 0.983502, 0.980023, 0.976174, 0.972568, 0.969828, 0.967709, 0.966371, - 0.965849, 0.96605, 0.967427, 0.96987, 0.973463, 0.978683, 0.983472, 0.987635, - 0.991875, 0.995476, 0.997586, 0.998568, 0.999328, 0.999234, 0.998804, - 0.999111, 0.99973, 0.999745, 1.0, 0.999814, 0.996693, 0.99162, 0.985702, - 0.978569, 0.969903, 0.960896, 0.953287, 0.946546, 0.941712, 0.938586, - 0.935489, 0.928114, 0.912102, 0.880598, 0.82498, 0.743118, 0.641891, 0.534002, - 0.426963, 0.32371, 0.234284, 0.163972, 0.110211, 0.072478, 0.046194, 0.029401, - 0.019359, 0.013308, 0.009317, 0.006523, 0.004864, 0.003409, 0.002491, - 0.001958, 0.001423, 0.001055, 0.000498, 0.000228, 0.000159, 3.4e-05, 4.5e-05, - 1.3e-05] - wavelength: [1539, 1540, 1541, 1542, 1543, 1544, 1545, 1546, 1547, 1548, 1549, - 1550, 1551, 1552, 1553, 1554, 1555, 1556, 1557, 1558, 1559, 1560, 1561, - 1562, 1563, 1564, 1565, 1566, 1567, 1568, 1569, 1570, 1571, 1572, 1573, - 1574, 1575, 1576, 1577, 1578, 1579, 1580, 1581, 1582, 1583, 1584, 1585, - 1586, 1587, 1588, 1589, 1590, 1591, 1592, 1593, 1594, 1595, 1596, 1597, - 1598, 1599, 1600, 1601, 1602, 1603, 1604, 1605, 1606, 1607, 1608, 1609, - 1610, 1611, 1612, 1613, 1614, 1615, 1616, 1617, 1618, 1619, 1620, 1621, - 1622, 1623, 1624, 1625, 1626, 1627, 1628, 1629, 1630, 1631, 1632, 1633, - 1634, 1635, 1636, 1637, 1638, 1639, 1640, 1641, 1642, 1643, 1644, 1645, - 1646, 1647, 1648, 1649, 1650, 1651, 1652, 1653, 1654, 1655, 1656, 1657, - 1658, 1659, 1660, 1661, 1662, 1663, 1664, 1665, 1666, 1667, 1668, 1669, - 1670, 1671, 1672, 1673, 1674, 1675, 1676, 1677, 1678, 1679, 1680, 1681, - 1682] - units: '1' - - aliases: [nbart_band_12, nbart_B12, nbart_Band12] - dtype: int16 - name: nbart_swir_3 - nodata: -999 - spectral_definition: - response: [0.000639, 0.001023, 0.002885, 0.003997, 0.006597, 0.00766, 0.008004, - 0.00854, 0.0093, 0.010002, 0.010972, 0.012089, 0.013364, 0.015017, 0.017126, - 0.01978, 0.023336, 0.027668, 0.033216, 0.040217, 0.048883, 0.059642, 0.073175, - 0.090535, 0.11147, 0.136903, 0.167811, 0.203461, 0.242871, 0.284898, 0.327178, - 0.368404, 0.408003, 0.444778, 0.476537, 0.503107, 0.525318, 0.543352, - 0.557253, 0.568634, 0.57903, 0.588684, 0.598891, 0.609981, 0.621362, 0.634283, - 0.648546, 0.663707, 0.680046, 0.696165, 0.711964, 0.727011, 0.741301, - 0.757405, 0.772071, 0.785581, 0.798238, 0.809677, 0.819702, 0.828599, - 0.836722, 0.844443, 0.851107, 0.853252, 0.854746, 0.856174, 0.857821, - 0.859532, 0.86146, 0.863257, 0.865139, 0.867319, 0.869696, 0.874302, 0.878588, - 0.882439, 0.885929, 0.889473, 0.893226, 0.896696, 0.899897, 0.902596, - 0.904831, 0.905525, 0.905665, 0.905503, 0.905158, 0.904783, 0.904082, - 0.903347, 0.902761, 0.902377, 0.901983, 0.903424, 0.904313, 0.905315, - 0.906446, 0.908092, 0.910123, 0.91295, 0.915585, 0.918444, 0.921302, 0.924337, - 0.927219, 0.92974, 0.931922, 0.934142, 0.935906, 0.937086, 0.937641, 0.938301, - 0.937652, 0.940441, 0.942518, 0.943259, 0.943031, 0.942117, 0.940632, - 0.938428, 0.93666, 0.935256, 0.933022, 0.92688, 0.921057, 0.915483, 0.91102, - 0.908293, 0.907283, 0.908191, 0.911169, 0.916189, 0.922855, 0.920605, - 0.919482, 0.919489, 0.921276, 0.924526, 0.927733, 0.931974, 0.93677, 0.941483, - 0.946802, 0.951203, 0.954437, 0.957047, 0.959729, 0.962539, 0.964858, - 0.966042, 0.966647, 0.96631, 0.96546, 0.964841, 0.963656, 0.961698, 0.959454, - 0.957327, 0.95514, 0.953558, 0.952732, 0.952181, 0.951731, 0.952146, 0.952641, - 0.954057, 0.957078, 0.960639, 0.964222, 0.968307, 0.972691, 0.977423, - 0.982898, 0.987144, 0.990734, 0.993983, 0.996787, 0.998753, 1.0, 0.999927, - 0.999152, 0.997129, 0.993884, 0.989686, 0.983735, 0.976213, 0.967813, - 0.958343, 0.94844, 0.938203, 0.927725, 0.917039, 0.905999, 0.893868, 0.881683, - 0.868647, 0.854635, 0.84062, 0.826016, 0.809516, 0.791867, 0.772443, 0.749107, - 0.720346, 0.688185, 0.651283, 0.61005, 0.566031, 0.52097, 0.474659, 0.429259, - 0.385857, 0.342092, 0.30068, 0.263176, 0.227704, 0.195721, 0.16809, 0.14468, - 0.124831, 0.108237, 0.094401, 0.082363, 0.0715, 0.062691, 0.054985, 0.048195, - 0.042864, 0.038598, 0.034947, 0.031999, 0.029588, 0.027418, 0.025577, - 0.023959, 0.021672, 0.019148, 0.016331, 0.010989, 0.007379, 0.006511, - 0.00471, 0.002065] - wavelength: [2078, 2079, 2080, 2081, 2082, 2083, 2084, 2085, 2086, 2087, 2088, - 2089, 2090, 2091, 2092, 2093, 2094, 2095, 2096, 2097, 2098, 2099, 2100, - 2101, 2102, 2103, 2104, 2105, 2106, 2107, 2108, 2109, 2110, 2111, 2112, - 2113, 2114, 2115, 2116, 2117, 2118, 2119, 2120, 2121, 2122, 2123, 2124, - 2125, 2126, 2127, 2128, 2129, 2130, 2131, 2132, 2133, 2134, 2135, 2136, - 2137, 2138, 2139, 2140, 2141, 2142, 2143, 2144, 2145, 2146, 2147, 2148, - 2149, 2150, 2151, 2152, 2153, 2154, 2155, 2156, 2157, 2158, 2159, 2160, - 2161, 2162, 2163, 2164, 2165, 2166, 2167, 2168, 2169, 2170, 2171, 2172, - 2173, 2174, 2175, 2176, 2177, 2178, 2179, 2180, 2181, 2182, 2183, 2184, - 2185, 2186, 2187, 2188, 2189, 2190, 2191, 2192, 2193, 2194, 2195, 2196, - 2197, 2198, 2199, 2200, 2201, 2202, 2203, 2204, 2205, 2206, 2207, 2208, - 2209, 2210, 2211, 2212, 2213, 2214, 2215, 2216, 2217, 2218, 2219, 2220, - 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, - 2233, 2234, 2235, 2236, 2237, 2238, 2239, 2240, 2241, 2242, 2243, 2244, - 2245, 2246, 2247, 2248, 2249, 2250, 2251, 2252, 2253, 2254, 2255, 2256, - 2257, 2258, 2259, 2260, 2261, 2262, 2263, 2264, 2265, 2266, 2267, 2268, - 2269, 2270, 2271, 2272, 2273, 2274, 2275, 2276, 2277, 2278, 2279, 2280, - 2281, 2282, 2283, 2284, 2285, 2286, 2287, 2288, 2289, 2290, 2291, 2292, - 2293, 2294, 2295, 2296, 2297, 2298, 2299, 2300, 2301, 2302, 2303, 2304, - 2305, 2306, 2307, 2308, 2309, 2310, 2311, 2312, 2313, 2314, 2315, 2316, - 2317, 2318, 2319, 2320] - units: '1' -metadata: - format: {name: GeoTIFF} - instrument: {name: MSI} - platform: {code: SENTINEL_2A} - processing_level: Level-2 - product_type: S2MSIARD -metadata_type: gqa_eo -name: s2a_ard_granule ---- -description: Sentinel-2B MSI ARD - NBAR NBART and Pixel Quality -measurements: - - aliases: [azimuthal_exiting] - dtype: float32 - name: azimuthal_exiting - nodata: -999 - units: '1' - - aliases: [azimuthal_incident] - dtype: float32 - name: azimuthal_incident - nodata: -999 - units: '1' - - aliases: [exiting] - dtype: float32 - name: exiting - nodata: -999 - units: '1' - - aliases: [incident] - dtype: float32 - name: incident - nodata: -999 - units: '1' - - aliases: [relative_azimuth] - dtype: float32 - name: relative_azimuth - nodata: -999 - units: '1' - - aliases: [relative_slope] - dtype: float32 - name: relative_slope - nodata: -999 - units: '1' - - aliases: [satellite_azimuth] - dtype: float32 - name: satellite_azimuth - nodata: -999 - units: '1' - - aliases: [satellite_view] - dtype: float32 - name: satellite_view - nodata: -999 - units: '1' - - aliases: [solar_azimuth] - dtype: float32 - name: solar_azimuth - nodata: -999 - units: '1' - - aliases: [solar_zenith] - dtype: float32 - name: solar_zenith - nodata: -999 - units: '1' - - aliases: [terrain_shadow] - dtype: uint8 - name: terrain_shadow - nodata: 0 - units: '1' - - aliases: [mask, Fmask] - dtype: uint8 - flags_definition: - fmask: - bits: [0, 1, 2, 3, 4, 5, 6, 7] - description: Fmask - values: {'0': nodata, '1': valid, '2': cloud, '3': shadow, '4': snow, - '5': water} - name: fmask - nodata: 0 - units: '1' - - dtype: uint8 - flags_definition: - contiguity: - bits: [0, 1, 2, 3, 4, 5, 6, 7] - description: Pixel contiguity in band stack - values: {'0': not_contiguous, '1': contiguous} - name: nbar_contiguity - nodata: 255 - units: '1' - - aliases: [nbar_band_01, nbar_B01, nbar_Band1] - dtype: int16 - name: nbar_coastal_aerosol - nodata: -999 - spectral_definition: - response: [0.006797798, 0.01099643, 0.004208363, 0.006568034, 0.005883123, - 0.00713011, 0.004333651, 0.006263537, 0.004393687, 0.00253157, 0.000621707, - 0.002117729, 0.003175796, 0.005213085, 0.003387375, 0.00258671, 0.002384167, - 0.004595227, 0.012990945, 0.050622293, 0.18872241, 0.459106539, 0.730160597, - 0.847259495, 0.871235903, 0.881448354, 0.899392736, 0.918669431, 0.933420754, - 0.94596319, 0.95041031, 0.953972339, 0.96903168, 0.999546173, 1, 0.976368067, - 0.96404957, 0.95417544, 0.923744832, 0.88548879, 0.809016274, 0.601561144, - 0.306766029, 0.108527711, 0.030542088, 0.008935131] - wavelength: [411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, - 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, - 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, - 452, 453, 454, 455, 456] - units: '1' - - aliases: [nbar_band_02, nbar_B02, nbar_Band2] - dtype: int16 - name: nbar_blue - nodata: -999 - spectral_definition: - response: [0.001893306, 0.019440751, 0.020059028, 0.014109631, 0.015612858, - 0.015448868, 0.017034152, 0.013311359, 0.014462036, 0.009592091, 0.014500694, - 0.011159264, 0.013332524, 0.01355731, 0.01426, 0.014717634, 0.015989541, - 0.030654247, 0.055432753, 0.120228972, 0.252260953, 0.462862499, 0.65241169, - 0.77750832, 0.824333103, 0.832077099, 0.835037767, 0.838761115, 0.864126031, - 0.883293587, 0.90569382, 0.921186621, 0.936616967, 0.931024626, 0.927547539, - 0.916622744, 0.9060165, 0.897870416, 0.903146598, 0.908994286, 0.920859439, - 0.924523699, 0.918843658, 0.907981319, 0.898032665, 0.88735796, 0.873065866, - 0.857761622, 0.846132814, 0.843382711, 0.857924772, 0.879320632, 0.903975503, - 0.919580552, 0.946712663, 0.969406608, 0.993636046, 0.999320649, 1, 0.995107621, - 0.984163047, 0.979509527, 0.978185449, 0.972278886, 0.96293492, 0.95355824, - 0.938134944, 0.924777929, 0.909590075, 0.902313691, 0.892251397, 0.890060534, - 0.891851681, 0.899164865, 0.910901434, 0.924636296, 0.938626228, 0.953526854, - 0.971831245, 0.987690608, 0.996791216, 0.993851876, 0.9816383, 0.958970396, - 0.893259218, 0.736063596, 0.52101528, 0.332578748, 0.195080476, 0.117429222, - 0.075138809, 0.050991983, 0.032154822, 0.015134166, 0.004477169] - wavelength: [438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, - 451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, - 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, - 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, - 493, 494, 495, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, - 507, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, - 521, 522, 523, 524, 525, 526, 527, 528, 529, 530, 531, 532] - units: '1' - - aliases: [nbar_band_03, nbar_B03, nbar_Band3] - dtype: int16 - name: nbar_green - nodata: -999 - spectral_definition: - response: [0.005090312, 0.026897029, 0.12087986, 0.33742273, 0.603624689, - 0.810967523, 0.91573833, 0.92605288, 0.92083242, 0.911237119, 0.902005739, - 0.897081513, 0.899066029, 0.900672338, 0.902488081, 0.906886173, 0.915610562, - 0.927756371, 0.941055569, 0.954196504, 0.966908428, 0.981390028, 0.991619278, - 1, 0.999754078, 0.994046577, 0.981792818, 0.968692612, 0.957607907, 0.945644641, - 0.92580977, 0.897152993, 0.838534201, 0.698446797, 0.493502787, 0.276900547, - 0.107781358, 0.029913795, 0.007336673, 0.000838123] - wavelength: [536, 537, 538, 539, 540, 541, 542, 543, 544, 545, 546, 547, 548, - 549, 550, 551, 552, 553, 554, 555, 556, 557, 558, 559, 560, 561, 562, - 563, 564, 565, 566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, - 577, 578, 579, 580, 581, 582] - units: '1' - - aliases: [nbar_band_04, nbar_B04, nbar_Band4] - dtype: int16 - name: nbar_red - nodata: -999 - spectral_definition: - response: [0.002584, 0.034529, 0.14997, 0.464826, 0.817746, 0.965324, 0.983869, - 0.9969, 1.0, 0.995449, 0.991334, 0.977215, 0.936802, 0.873776, 0.814166, - 0.776669, 0.764864, 0.775091, 0.801359, 0.830828, 0.857112, 0.883581, - 0.90895, 0.934759, 0.955931, 0.96811, 0.973219, 0.971572, 0.969003, 0.965712, - 0.960481, 0.944811, 0.884152, 0.706167, 0.422967, 0.189853, 0.063172, - 0.020615, 0.002034] - wavelength: [646, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, - 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, - 673, 674, 675, 676, 677, 678, 679, 680, 681, 682, 683, 684, 685] - units: '1' - - aliases: [nbar_band_05, nbar_B05, nbar_Band5] - dtype: int16 - name: nbar_red_edge_1 - nodata: -999 - spectral_definition: - response: [0.010471827, 0.057252544, 0.214724996, 0.547189415, 0.871043978, - 0.968446586, 0.99124182, 1, 0.99509331, 0.987602081, 0.979408704, 0.970910946, - 0.959528083, 0.94236861, 0.926720132, 0.894557475, 0.767248071, 0.504134435, - 0.180610636, 0.034019737, 0.002436944] - wavelength: [694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 706, - 707, 708, 709, 710, 711, 712, 713, 714] - units: '1' - - aliases: [nbar_band_06, nbar_B06, nbar_Band6] - dtype: int16 - name: nbar_red_edge_2 - nodata: -999 - spectral_definition: - response: [0.017433807, 0.105812957, 0.386050533, 0.782313159, 0.905953099, - 0.916416606, 0.92333441, 0.932013378, 0.947550036, 0.965839591, 0.978552758, - 0.991319723, 1, 0.999955845, 0.971267313, 0.81917496, 0.467395748, 0.094120897, - 0.009834009] - wavelength: [730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, - 743, 744, 745, 746, 747, 748] - units: '1' - - aliases: [nbar_band_07, nbar_B07, nbar_Band7] - dtype: int16 - name: nbar_red_edge_3 - nodata: -999 - spectral_definition: - response: [0.010282026, 0.037427714, 0.112026989, 0.257953812, 0.478980823, - 0.730216783, 0.912510408, 0.971721033, 0.964616097, 0.955734525, 0.964925586, - 0.986223289, 1, 0.998046627, 0.98393444, 0.96569621, 0.947277433, 0.927083998, - 0.90976539, 0.886948914, 0.859517187, 0.827959173, 0.776383783, 0.671173028, - 0.481809979, 0.236251944, 0.069538392, 0.013431956, 0.001257675] - wavelength: [766, 767, 768, 769, 770, 771, 772, 773, 774, 775, 776, 777, 778, - 779, 780, 781, 782, 783, 784, 785, 786, 787, 788, 789, 790, 791, 792, - 793, 794] - units: '1' - - aliases: [nbar_band_08, nbar_B08, nbar_Band8] - dtype: int16 - name: nbar_nir_1 - nodata: -999 - spectral_definition: - response: [0.000386696, 0.003018401, 0.01669158, 0.028340486, 0.0502885, 0.08626388, - 0.149596686, 0.258428566, 0.425108406, 0.631697563, 0.803109115, 0.904984654, - 0.939674653, 0.944958731, 0.948238826, 0.963880684, 0.979861632, 0.991635585, - 0.996362309, 1, 0.998257939, 0.998488834, 0.989253171, 0.98294089, 0.968189827, - 0.958222106, 0.951650369, 0.947054991, 0.944166995, 0.948383123, 0.946461415, - 0.942132884, 0.929937199, 0.914683918, 0.893248878, 0.873037871, 0.852648452, - 0.836447483, 0.824300756, 0.814333379, 0.810955964, 0.803715941, 0.791980175, - 0.783270185, 0.767838865, 0.754167357, 0.742309406, 0.727235815, 0.719323269, - 0.713866399, 0.718941021, 0.726527917, 0.738324031, 0.750210769, 0.761800392, - 0.769900245, 0.781725199, 0.78381047, 0.783069959, 0.782718588, 0.781644143, - 0.780380397, 0.781443024, 0.781701218, 0.78177353, 0.780064535, 0.777591823, - 0.770831803, 0.764574958, 0.753876586, 0.743324604, 0.733775698, 0.722497914, - 0.712900724, 0.699439134, 0.688575227, 0.674039061, 0.657552716, 0.643729834, - 0.62865391, 0.614005803, 0.603233252, 0.594982815, 0.588091928, 0.585186507, - 0.582889219, 0.581493721, 0.580137218, 0.574804624, 0.576654614, 0.572399696, - 0.570992768, 0.569291451, 0.571025201, 0.570861066, 0.572213154, 0.575418141, - 0.577804028, 0.579603586, 0.579294979, 0.578302049, 0.57565598, 0.569721665, - 0.561891364, 0.556830745, 0.549385012, 0.545858439, 0.542536249, 0.541895109, - 0.539852497, 0.537997281, 0.53195493, 0.522275927, 0.505572421, 0.48804203, - 0.469610434, 0.456107021, 0.445848869, 0.443119818, 0.445581498, 0.447532506, - 0.440183411, 0.418240241, 0.369455837, 0.301788007, 0.235014942, 0.174244972, - 0.122382945, 0.083462794, 0.056162189, 0.038006008, 0.024240249, 0.014845963, - 0.006132899] - wavelength: [774, 775, 776, 777, 778, 779, 780, 781, 782, 783, 784, 785, 786, - 787, 788, 789, 790, 791, 792, 793, 794, 795, 796, 797, 798, 799, 800, - 801, 802, 803, 804, 805, 806, 807, 808, 809, 810, 811, 812, 813, 814, - 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, 828, - 829, 830, 831, 832, 833, 834, 835, 836, 837, 838, 839, 840, 841, 842, - 843, 844, 845, 846, 847, 848, 849, 850, 851, 852, 853, 854, 855, 856, - 857, 858, 859, 860, 861, 862, 863, 864, 865, 866, 867, 868, 869, 870, - 871, 872, 873, 874, 875, 876, 877, 878, 879, 880, 881, 882, 883, 884, - 885, 886, 887, 888, 889, 890, 891, 892, 893, 894, 895, 896, 897, 898, - 899, 900, 901, 902, 903, 904, 905, 906, 907] - units: '1' - - aliases: [nbar_band_8A, nbar_B8A, nbar_Band8A] - dtype: int16 - name: nbar_nir_2 - nodata: -999 - spectral_definition: - response: [0.001661751, 0.01602581, 0.032253895, 0.073411273, 0.168937582, - 0.345506138, 0.569417239, 0.79634996, 0.937581155, 0.980942645, 0.987241334, - 0.994409463, 0.998963959, 0.999788107, 1, 0.994482469, 0.987807181, 0.983157165, - 0.979826684, 0.975089851, 0.972818786, 0.966320275, 0.958195153, 0.941870745, - 0.894185366, 0.778588669, 0.597362542, 0.377361257, 0.184667876, 0.079045495, - 0.033393337, 0.015808546, 0.00162404] - wavelength: [848, 849, 850, 851, 852, 853, 854, 855, 856, 857, 858, 859, 860, - 861, 862, 863, 864, 865, 866, 867, 868, 869, 870, 871, 872, 873, 874, - 875, 876, 877, 878, 879, 880] - units: '1' - - aliases: [nbar_band_11, nbar_B11, nbar_Band11] - dtype: int16 - name: nbar_swir_2 - nodata: -999 - spectral_definition: - response: [1.15e-05, 2.6996e-05, 8.1157e-05, 0.000169507, 0.000273428, 0.000343776, - 0.000459515, 0.000651677, 0.0008223, 0.001076746, 0.001428776, 0.001958681, - 0.002660821, 0.003682001, 0.005217308, 0.007572684, 0.011246256, 0.01713141, - 0.026703068, 0.041388968, 0.062904714, 0.094492263, 0.139743066, 0.200760503, - 0.281513117, 0.380879812, 0.490209915, 0.606204368, 0.714558374, 0.80351452, - 0.86986655, 0.916284448, 0.946609049, 0.963892644, 0.973065345, 0.977057349, - 0.977796293, 0.976890332, 0.975338048, 0.973392995, 0.971480798, 0.969740168, - 0.969095034, 0.96969742, 0.970522078, 0.972736269, 0.976138953, 0.978944681, - 0.981010782, 0.983513536, 0.984837133, 0.984404132, 0.983920166, 0.983372624, - 0.981458796, 0.979391949, 0.978058392, 0.976263051, 0.975392679, 0.9757089, - 0.976805245, 0.978986183, 0.981998545, 0.98520893, 0.988659162, 0.992331977, - 0.994804634, 0.99589809, 0.995903119, 0.994773417, 0.992101664, 0.988591774, - 0.984908418, 0.981101728, 0.976805235, 0.97354566, 0.971948013, 0.97053597, - 0.970436371, 0.972382602, 0.975244492, 0.978552743, 0.982971465, 0.98808508, - 0.992662671, 0.996435703, 0.99906056, 1, 0.999036445, 0.996642174, 0.993293536, - 0.989674029, 0.98579838, 0.982153372, 0.979817194, 0.979473331, 0.980262857, - 0.982464858, 0.986000509, 0.989562258, 0.991723341, 0.992201372, 0.98939229, - 0.982102331, 0.970157085, 0.953186779, 0.932369062, 0.908001591, 0.884086561, - 0.864271526, 0.850889881, 0.844206087, 0.843448232, 0.847024828, 0.848701823, - 0.840540222, 0.81352592, 0.756843245, 0.670393147, 0.565754809, 0.457566037, - 0.353763564, 0.256912748, 0.176281, 0.115842988, 0.073512768, 0.046527708, - 0.02905985, 0.018579999, 0.012463091, 0.00878944, 0.006316358, 0.004582867, - 0.003359394, 0.002462997, 0.001990739, 0.001501488, 0.001123371, 0.00078272, - 0.000541322, 0.000281204, 0.00013347] - wavelength: [1538, 1539, 1540, 1541, 1542, 1543, 1544, 1545, 1546, 1547, 1548, - 1549, 1550, 1551, 1552, 1553, 1554, 1555, 1556, 1557, 1558, 1559, 1560, - 1561, 1562, 1563, 1564, 1565, 1566, 1567, 1568, 1569, 1570, 1571, 1572, - 1573, 1574, 1575, 1576, 1577, 1578, 1579, 1580, 1581, 1582, 1583, 1584, - 1585, 1586, 1587, 1588, 1589, 1590, 1591, 1592, 1593, 1594, 1595, 1596, - 1597, 1598, 1599, 1600, 1601, 1602, 1603, 1604, 1605, 1606, 1607, 1608, - 1609, 1610, 1611, 1612, 1613, 1614, 1615, 1616, 1617, 1618, 1619, 1620, - 1621, 1622, 1623, 1624, 1625, 1626, 1627, 1628, 1629, 1630, 1631, 1632, - 1633, 1634, 1635, 1636, 1637, 1638, 1639, 1640, 1641, 1642, 1643, 1644, - 1645, 1646, 1647, 1648, 1649, 1650, 1651, 1652, 1653, 1654, 1655, 1656, - 1657, 1658, 1659, 1660, 1661, 1662, 1663, 1664, 1665, 1666, 1667, 1668, - 1669, 1670, 1671, 1672, 1673, 1674, 1675, 1676, 1677, 1678, 1679] - units: '1' - - aliases: [nbar_band_12, nbar_B12, nbar_Band12] - dtype: int16 - name: nbar_swir_3 - nodata: -999 - spectral_definition: - response: [0.000227567, 0.000739283, 0.001656775, 0.003019587, 0.004589377, - 0.005924935, 0.007534774, 0.008748008, 0.010265481, 0.012236179, 0.014593479, - 0.017458937, 0.021063245, 0.025428056, 0.03060944, 0.037234457, 0.045771325, - 0.056362502, 0.070016996, 0.088004988, 0.110694417, 0.138884174, 0.173287791, - 0.214374591, 0.261990789, 0.317227795, 0.380865706, 0.449470316, 0.522785467, - 0.598898522, 0.672128213, 0.737899139, 0.792930708, 0.835658783, 0.866335142, - 0.886329697, 0.897588245, 0.901517855, 0.900790721, 0.897113531, 0.892352598, - 0.88796428, 0.884432193, 0.882095059, 0.881695748, 0.88269782, 0.887154405, - 0.892732955, 0.898903582, 0.905619271, 0.912841006, 0.920179789, 0.926912882, - 0.933094888, 0.938438355, 0.943377038, 0.945579227, 0.947407512, 0.948568289, - 0.94882972, 0.948111791, 0.947115734, 0.946126982, 0.944870644, 0.943485039, - 0.941894052, 0.942445527, 0.943274219, 0.944243794, 0.94528606, 0.946212496, - 0.947084905, 0.947941677, 0.948940117, 0.949880321, 0.950676414, 0.951054332, - 0.951531833, 0.952326952, 0.952721089, 0.952552047, 0.952417855, 0.952654092, - 0.95296197, 0.95331832, 0.953779111, 0.954291677, 0.954837035, 0.955539257, - 0.956750259, 0.957986198, 0.959237259, 0.960451396, 0.96141302, 0.96264388, - 0.964122014, 0.963609737, 0.963104517, 0.962753979, 0.961850624, 0.960730243, - 0.959560745, 0.958377188, 0.956972347, 0.955119849, 0.953076144, 0.95406055, - 0.955176712, 0.955719159, 0.955674616, 0.955356546, 0.954611539, 0.953453566, - 0.952124922, 0.950597985, 0.948594073, 0.948562399, 0.948548442, 0.94829598, - 0.947706109, 0.946620434, 0.94521576, 0.943480979, 0.942137936, 0.940654943, - 0.938918576, 0.941493007, 0.943778866, 0.945751584, 0.947277308, 0.948481875, - 0.949621704, 0.950767479, 0.951991493, 0.953624457, 0.955262594, 0.952413026, - 0.950488752, 0.949721652, 0.949105026, 0.949712169, 0.95167296, 0.955012323, - 0.959777857, 0.966208245, 0.973886163, 0.970920044, 0.969139883, 0.968329935, - 0.967635904, 0.967555279, 0.968040602, 0.968508397, 0.968956722, 0.969510275, - 0.969967732, 0.969097684, 0.968258197, 0.967549788, 0.96650394, 0.965459532, - 0.964366923, 0.962929804, 0.961665594, 0.96063821, 0.959368085, 0.959707097, - 0.960359643, 0.9616448, 0.962729828, 0.96370081, 0.964773629, 0.965512685, - 0.96634935, 0.96753842, 0.96886815, 0.970549249, 0.972426171, 0.974301395, - 0.976012041, 0.977203216, 0.978986062, 0.980446263, 0.981524356, 0.982531672, - 0.983336508, 0.98463147, 0.986737985, 0.989144288, 0.991223348, 0.99318448, - 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2124, 2125, 2126, 2127, 2128, 2129, 2130, 2131, 2132, 2133, 2134, 2135, - 2136, 2137, 2138, 2139, 2140, 2141, 2142, 2143, 2144, 2145, 2146, 2147, - 2148, 2149, 2150, 2151, 2152, 2153, 2154, 2155, 2156, 2157, 2158, 2159, - 2160, 2161, 2162, 2163, 2164, 2165, 2166, 2167, 2168, 2169, 2170, 2171, - 2172, 2173, 2174, 2175, 2176, 2177, 2178, 2179, 2180, 2181, 2182, 2183, - 2184, 2185, 2186, 2187, 2188, 2189, 2190, 2191, 2192, 2193, 2194, 2195, - 2196, 2197, 2198, 2199, 2200, 2201, 2202, 2203, 2204, 2205, 2206, 2207, - 2208, 2209, 2210, 2211, 2212, 2213, 2214, 2215, 2216, 2217, 2218, 2219, - 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, - 2232, 2233, 2234, 2235, 2236, 2237, 2238, 2239, 2240, 2241, 2242, 2243, - 2244, 2245, 2246, 2247, 2248, 2249, 2250, 2251, 2252, 2253, 2254, 2255, - 2256, 2257, 2258, 2259, 2260, 2261, 2262, 2263, 2264, 2265, 2266, 2267, - 2268, 2269, 2270, 2271, 2272, 2273, 2274, 2275, 2276, 2277, 2278, 2279, - 2280, 2281, 2282, 2283, 2284, 2285, 2286, 2287, 2288, 2289, 2290, 2291, - 2292, 2293, 2294, 2295, 2296, 2297, 2298, 2299, 2300, 2301, 2302, 2303] - units: '1' - - dtype: uint8 - flags_definition: - contiguity: - bits: [0, 1, 2, 3, 4, 5, 6, 7] - description: Pixel contiguity in band stack - values: {'0': not_contiguous, '1': contiguous} - name: nbart_contiguity - nodata: 255 - units: '1' - - aliases: [nbart_band_01, nbart_B01, nbart_Band1] - dtype: int16 - name: nbart_coastal_aerosol - nodata: -999 - spectral_definition: - response: [0.006797798, 0.01099643, 0.004208363, 0.006568034, 0.005883123, - 0.00713011, 0.004333651, 0.006263537, 0.004393687, 0.00253157, 0.000621707, - 0.002117729, 0.003175796, 0.005213085, 0.003387375, 0.00258671, 0.002384167, - 0.004595227, 0.012990945, 0.050622293, 0.18872241, 0.459106539, 0.730160597, - 0.847259495, 0.871235903, 0.881448354, 0.899392736, 0.918669431, 0.933420754, - 0.94596319, 0.95041031, 0.953972339, 0.96903168, 0.999546173, 1, 0.976368067, - 0.96404957, 0.95417544, 0.923744832, 0.88548879, 0.809016274, 0.601561144, - 0.306766029, 0.108527711, 0.030542088, 0.008935131] - wavelength: [411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, - 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, - 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, - 452, 453, 454, 455, 456] - units: '1' - - aliases: [nbart_band_02, nbart_B02, nbart_Band2] - dtype: int16 - name: nbart_blue - nodata: -999 - spectral_definition: - response: [0.001893306, 0.019440751, 0.020059028, 0.014109631, 0.015612858, - 0.015448868, 0.017034152, 0.013311359, 0.014462036, 0.009592091, 0.014500694, - 0.011159264, 0.013332524, 0.01355731, 0.01426, 0.014717634, 0.015989541, - 0.030654247, 0.055432753, 0.120228972, 0.252260953, 0.462862499, 0.65241169, - 0.77750832, 0.824333103, 0.832077099, 0.835037767, 0.838761115, 0.864126031, - 0.883293587, 0.90569382, 0.921186621, 0.936616967, 0.931024626, 0.927547539, - 0.916622744, 0.9060165, 0.897870416, 0.903146598, 0.908994286, 0.920859439, - 0.924523699, 0.918843658, 0.907981319, 0.898032665, 0.88735796, 0.873065866, - 0.857761622, 0.846132814, 0.843382711, 0.857924772, 0.879320632, 0.903975503, - 0.919580552, 0.946712663, 0.969406608, 0.993636046, 0.999320649, 1, 0.995107621, - 0.984163047, 0.979509527, 0.978185449, 0.972278886, 0.96293492, 0.95355824, - 0.938134944, 0.924777929, 0.909590075, 0.902313691, 0.892251397, 0.890060534, - 0.891851681, 0.899164865, 0.910901434, 0.924636296, 0.938626228, 0.953526854, - 0.971831245, 0.987690608, 0.996791216, 0.993851876, 0.9816383, 0.958970396, - 0.893259218, 0.736063596, 0.52101528, 0.332578748, 0.195080476, 0.117429222, - 0.075138809, 0.050991983, 0.032154822, 0.015134166, 0.004477169] - wavelength: [438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, - 451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, - 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, - 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, - 493, 494, 495, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, - 507, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, - 521, 522, 523, 524, 525, 526, 527, 528, 529, 530, 531, 532] - units: '1' - - aliases: [nbart_band_03, nbart_B03, nbart_Band3] - dtype: int16 - name: nbart_green - nodata: -999 - spectral_definition: - response: [0.005090312, 0.026897029, 0.12087986, 0.33742273, 0.603624689, - 0.810967523, 0.91573833, 0.92605288, 0.92083242, 0.911237119, 0.902005739, - 0.897081513, 0.899066029, 0.900672338, 0.902488081, 0.906886173, 0.915610562, - 0.927756371, 0.941055569, 0.954196504, 0.966908428, 0.981390028, 0.991619278, - 1, 0.999754078, 0.994046577, 0.981792818, 0.968692612, 0.957607907, 0.945644641, - 0.92580977, 0.897152993, 0.838534201, 0.698446797, 0.493502787, 0.276900547, - 0.107781358, 0.029913795, 0.007336673, 0.000838123] - wavelength: [536, 537, 538, 539, 540, 541, 542, 543, 544, 545, 546, 547, 548, - 549, 550, 551, 552, 553, 554, 555, 556, 557, 558, 559, 560, 561, 562, - 563, 564, 565, 566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, - 577, 578, 579, 580, 581, 582] - units: '1' - - aliases: [nbart_band_04, nbart_B04, nbart_Band4] - dtype: int16 - name: nbart_red - nodata: -999 - spectral_definition: - response: [0.002584, 0.034529, 0.14997, 0.464826, 0.817746, 0.965324, 0.983869, - 0.9969, 1.0, 0.995449, 0.991334, 0.977215, 0.936802, 0.873776, 0.814166, - 0.776669, 0.764864, 0.775091, 0.801359, 0.830828, 0.857112, 0.883581, - 0.90895, 0.934759, 0.955931, 0.96811, 0.973219, 0.971572, 0.969003, 0.965712, - 0.960481, 0.944811, 0.884152, 0.706167, 0.422967, 0.189853, 0.063172, - 0.020615, 0.002034] - wavelength: [646, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, - 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, - 673, 674, 675, 676, 677, 678, 679, 680, 681, 682, 683, 684, 685] - units: '1' - - aliases: [nbart_band_05, nbart_B05, nbart_Band5] - dtype: int16 - name: nbart_red_edge_1 - nodata: -999 - spectral_definition: - response: [0.010471827, 0.057252544, 0.214724996, 0.547189415, 0.871043978, - 0.968446586, 0.99124182, 1, 0.99509331, 0.987602081, 0.979408704, 0.970910946, - 0.959528083, 0.94236861, 0.926720132, 0.894557475, 0.767248071, 0.504134435, - 0.180610636, 0.034019737, 0.002436944] - wavelength: [694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 706, - 707, 708, 709, 710, 711, 712, 713, 714] - units: '1' - - aliases: [nbart_band_06, nbart_B06, nbart_Band6] - dtype: int16 - name: nbart_red_edge_2 - nodata: -999 - spectral_definition: - response: [0.017433807, 0.105812957, 0.386050533, 0.782313159, 0.905953099, - 0.916416606, 0.92333441, 0.932013378, 0.947550036, 0.965839591, 0.978552758, - 0.991319723, 1, 0.999955845, 0.971267313, 0.81917496, 0.467395748, 0.094120897, - 0.009834009] - wavelength: [730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, - 743, 744, 745, 746, 747, 748] - units: '1' - - aliases: [nbart_band_07, nbart_B07, nbart_Band7] - dtype: int16 - name: nbart_red_edge_3 - nodata: -999 - spectral_definition: - response: [0.010282026, 0.037427714, 0.112026989, 0.257953812, 0.478980823, - 0.730216783, 0.912510408, 0.971721033, 0.964616097, 0.955734525, 0.964925586, - 0.986223289, 1, 0.998046627, 0.98393444, 0.96569621, 0.947277433, 0.927083998, - 0.90976539, 0.886948914, 0.859517187, 0.827959173, 0.776383783, 0.671173028, - 0.481809979, 0.236251944, 0.069538392, 0.013431956, 0.001257675] - wavelength: [766, 767, 768, 769, 770, 771, 772, 773, 774, 775, 776, 777, 778, - 779, 780, 781, 782, 783, 784, 785, 786, 787, 788, 789, 790, 791, 792, - 793, 794] - units: '1' - - aliases: [nbart_band_08, nbart_B08, nbart_Band8] - dtype: int16 - name: nbart_nir_1 - nodata: -999 - spectral_definition: - response: [0.000386696, 0.003018401, 0.01669158, 0.028340486, 0.0502885, 0.08626388, - 0.149596686, 0.258428566, 0.425108406, 0.631697563, 0.803109115, 0.904984654, - 0.939674653, 0.944958731, 0.948238826, 0.963880684, 0.979861632, 0.991635585, - 0.996362309, 1, 0.998257939, 0.998488834, 0.989253171, 0.98294089, 0.968189827, - 0.958222106, 0.951650369, 0.947054991, 0.944166995, 0.948383123, 0.946461415, - 0.942132884, 0.929937199, 0.914683918, 0.893248878, 0.873037871, 0.852648452, - 0.836447483, 0.824300756, 0.814333379, 0.810955964, 0.803715941, 0.791980175, - 0.783270185, 0.767838865, 0.754167357, 0.742309406, 0.727235815, 0.719323269, - 0.713866399, 0.718941021, 0.726527917, 0.738324031, 0.750210769, 0.761800392, - 0.769900245, 0.781725199, 0.78381047, 0.783069959, 0.782718588, 0.781644143, - 0.780380397, 0.781443024, 0.781701218, 0.78177353, 0.780064535, 0.777591823, - 0.770831803, 0.764574958, 0.753876586, 0.743324604, 0.733775698, 0.722497914, - 0.712900724, 0.699439134, 0.688575227, 0.674039061, 0.657552716, 0.643729834, - 0.62865391, 0.614005803, 0.603233252, 0.594982815, 0.588091928, 0.585186507, - 0.582889219, 0.581493721, 0.580137218, 0.574804624, 0.576654614, 0.572399696, - 0.570992768, 0.569291451, 0.571025201, 0.570861066, 0.572213154, 0.575418141, - 0.577804028, 0.579603586, 0.579294979, 0.578302049, 0.57565598, 0.569721665, - 0.561891364, 0.556830745, 0.549385012, 0.545858439, 0.542536249, 0.541895109, - 0.539852497, 0.537997281, 0.53195493, 0.522275927, 0.505572421, 0.48804203, - 0.469610434, 0.456107021, 0.445848869, 0.443119818, 0.445581498, 0.447532506, - 0.440183411, 0.418240241, 0.369455837, 0.301788007, 0.235014942, 0.174244972, - 0.122382945, 0.083462794, 0.056162189, 0.038006008, 0.024240249, 0.014845963, - 0.006132899] - wavelength: [774, 775, 776, 777, 778, 779, 780, 781, 782, 783, 784, 785, 786, - 787, 788, 789, 790, 791, 792, 793, 794, 795, 796, 797, 798, 799, 800, - 801, 802, 803, 804, 805, 806, 807, 808, 809, 810, 811, 812, 813, 814, - 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, 828, - 829, 830, 831, 832, 833, 834, 835, 836, 837, 838, 839, 840, 841, 842, - 843, 844, 845, 846, 847, 848, 849, 850, 851, 852, 853, 854, 855, 856, - 857, 858, 859, 860, 861, 862, 863, 864, 865, 866, 867, 868, 869, 870, - 871, 872, 873, 874, 875, 876, 877, 878, 879, 880, 881, 882, 883, 884, - 885, 886, 887, 888, 889, 890, 891, 892, 893, 894, 895, 896, 897, 898, - 899, 900, 901, 902, 903, 904, 905, 906, 907] - units: '1' - - aliases: [nbart_band_8A, nbart_B8A, nbart_Band8A] - dtype: int16 - name: nbart_nir_2 - nodata: -999 - spectral_definition: - response: [0.001661751, 0.01602581, 0.032253895, 0.073411273, 0.168937582, - 0.345506138, 0.569417239, 0.79634996, 0.937581155, 0.980942645, 0.987241334, - 0.994409463, 0.998963959, 0.999788107, 1, 0.994482469, 0.987807181, 0.983157165, - 0.979826684, 0.975089851, 0.972818786, 0.966320275, 0.958195153, 0.941870745, - 0.894185366, 0.778588669, 0.597362542, 0.377361257, 0.184667876, 0.079045495, - 0.033393337, 0.015808546, 0.00162404] - wavelength: [848, 849, 850, 851, 852, 853, 854, 855, 856, 857, 858, 859, 860, - 861, 862, 863, 864, 865, 866, 867, 868, 869, 870, 871, 872, 873, 874, - 875, 876, 877, 878, 879, 880] - units: '1' - - aliases: [nbart_band_11, nbart_B11, nbart_Band11] - dtype: int16 - name: nbart_swir_2 - nodata: -999 - spectral_definition: - response: [1.15e-05, 2.6996e-05, 8.1157e-05, 0.000169507, 0.000273428, 0.000343776, - 0.000459515, 0.000651677, 0.0008223, 0.001076746, 0.001428776, 0.001958681, - 0.002660821, 0.003682001, 0.005217308, 0.007572684, 0.011246256, 0.01713141, - 0.026703068, 0.041388968, 0.062904714, 0.094492263, 0.139743066, 0.200760503, - 0.281513117, 0.380879812, 0.490209915, 0.606204368, 0.714558374, 0.80351452, - 0.86986655, 0.916284448, 0.946609049, 0.963892644, 0.973065345, 0.977057349, - 0.977796293, 0.976890332, 0.975338048, 0.973392995, 0.971480798, 0.969740168, - 0.969095034, 0.96969742, 0.970522078, 0.972736269, 0.976138953, 0.978944681, - 0.981010782, 0.983513536, 0.984837133, 0.984404132, 0.983920166, 0.983372624, - 0.981458796, 0.979391949, 0.978058392, 0.976263051, 0.975392679, 0.9757089, - 0.976805245, 0.978986183, 0.981998545, 0.98520893, 0.988659162, 0.992331977, - 0.994804634, 0.99589809, 0.995903119, 0.994773417, 0.992101664, 0.988591774, - 0.984908418, 0.981101728, 0.976805235, 0.97354566, 0.971948013, 0.97053597, - 0.970436371, 0.972382602, 0.975244492, 0.978552743, 0.982971465, 0.98808508, - 0.992662671, 0.996435703, 0.99906056, 1, 0.999036445, 0.996642174, 0.993293536, - 0.989674029, 0.98579838, 0.982153372, 0.979817194, 0.979473331, 0.980262857, - 0.982464858, 0.986000509, 0.989562258, 0.991723341, 0.992201372, 0.98939229, - 0.982102331, 0.970157085, 0.953186779, 0.932369062, 0.908001591, 0.884086561, - 0.864271526, 0.850889881, 0.844206087, 0.843448232, 0.847024828, 0.848701823, - 0.840540222, 0.81352592, 0.756843245, 0.670393147, 0.565754809, 0.457566037, - 0.353763564, 0.256912748, 0.176281, 0.115842988, 0.073512768, 0.046527708, - 0.02905985, 0.018579999, 0.012463091, 0.00878944, 0.006316358, 0.004582867, - 0.003359394, 0.002462997, 0.001990739, 0.001501488, 0.001123371, 0.00078272, - 0.000541322, 0.000281204, 0.00013347] - wavelength: [1538, 1539, 1540, 1541, 1542, 1543, 1544, 1545, 1546, 1547, 1548, - 1549, 1550, 1551, 1552, 1553, 1554, 1555, 1556, 1557, 1558, 1559, 1560, - 1561, 1562, 1563, 1564, 1565, 1566, 1567, 1568, 1569, 1570, 1571, 1572, - 1573, 1574, 1575, 1576, 1577, 1578, 1579, 1580, 1581, 1582, 1583, 1584, - 1585, 1586, 1587, 1588, 1589, 1590, 1591, 1592, 1593, 1594, 1595, 1596, - 1597, 1598, 1599, 1600, 1601, 1602, 1603, 1604, 1605, 1606, 1607, 1608, - 1609, 1610, 1611, 1612, 1613, 1614, 1615, 1616, 1617, 1618, 1619, 1620, - 1621, 1622, 1623, 1624, 1625, 1626, 1627, 1628, 1629, 1630, 1631, 1632, - 1633, 1634, 1635, 1636, 1637, 1638, 1639, 1640, 1641, 1642, 1643, 1644, - 1645, 1646, 1647, 1648, 1649, 1650, 1651, 1652, 1653, 1654, 1655, 1656, - 1657, 1658, 1659, 1660, 1661, 1662, 1663, 1664, 1665, 1666, 1667, 1668, - 1669, 1670, 1671, 1672, 1673, 1674, 1675, 1676, 1677, 1678, 1679] - units: '1' - - aliases: [nbart_band_12, nbart_B12, nbart_Band12] - dtype: int16 - name: nbart_swir_3 - nodata: -999 - spectral_definition: - response: [0.000227567, 0.000739283, 0.001656775, 0.003019587, 0.004589377, - 0.005924935, 0.007534774, 0.008748008, 0.010265481, 0.012236179, 0.014593479, - 0.017458937, 0.021063245, 0.025428056, 0.03060944, 0.037234457, 0.045771325, - 0.056362502, 0.070016996, 0.088004988, 0.110694417, 0.138884174, 0.173287791, - 0.214374591, 0.261990789, 0.317227795, 0.380865706, 0.449470316, 0.522785467, - 0.598898522, 0.672128213, 0.737899139, 0.792930708, 0.835658783, 0.866335142, - 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units: '1' - - aliases: [band_05, B05, Band5] - dtype: uint16 - name: B05 - nodata: 0 - spectral_definition: - response: [0.001187, 0.04126, 0.167712, 0.478496, 0.833878, 0.985479, 1.0, - 0.999265, 0.993239, 0.982416, 0.965583, 0.945953, 0.924699, 0.902399, - 0.885582, 0.861231, 0.757197, 0.521268, 0.196706, 0.036825] - wavelength: [694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 706, - 707, 708, 709, 710, 711, 712, 713] - units: '1' - - aliases: [band_06, B06, Band6] - dtype: uint16 - name: B06 - nodata: 0 - spectral_definition: - response: [0.005331, 0.085006, 0.345714, 0.750598, 0.920265, 0.917917, 0.934211, - 0.957861, 0.975829, 0.981932, 0.981518, 0.993406, 1.0, 0.982579, 0.962584, - 0.854908, 0.506722, 0.135357, 0.013438] - wavelength: [731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, - 744, 745, 746, 747, 748, 749] - units: '1' - - aliases: [band_07, B07, Band7] - dtype: uint16 - name: B07 - nodata: 0 - spectral_definition: - response: [0.001595, 0.014731, 0.067032, 0.199495, 0.422803, 0.694015, 0.898494, - 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443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, - 457] - units: '1' - - aliases: [band_02, B02, Band2] - dtype: uint16 - name: B02 - nodata: 0 - spectral_definition: - response: [0.001206, 0.00204, 0.002623, 0.002738, 0.002746, 0.002076, 0.003246, - 0.002224, 0.002789, 0.003127, 0.002377, 0.003776, 0.002856, 0.003063, - 0.00607, 0.009028, 0.019547, 0.038955, 0.084088, 0.176255, 0.292197, 0.364612, - 0.382418, 0.385789, 0.393447, 0.400158, 0.410291, 0.424686, 0.449286, - 0.481594, 0.505323, 0.523406, 0.529543, 0.534688, 0.533786, 0.534656, - 0.5381, 0.543691, 0.557717, 0.578585, 0.601967, 0.616037, 0.621092, 0.613597, - 0.596062, 0.575863, 0.558063, 0.546131, 0.542099, 0.553602, 0.571684, - 0.598269, 0.633236, 0.67337, 0.711752, 0.738396, 0.758249, 0.768325, 0.773367, - 0.780468, 0.788363, 0.795449, 0.809151, 0.824011, 0.837709, 0.844983, - 0.847328, 0.840111, 0.825797, 0.804778, 0.78694, 0.771578, 0.761923, 0.765487, - 0.781682, 0.810031, 0.850586, 0.901671, 0.95467, 0.987257, 1.0, 0.986389, - 0.908308, 0.724, 0.478913, 0.286992, 0.169976, 0.102833, 0.065163, 0.04116, - 0.02508, 0.013112, 0.002585, 0.001095, 0.000308, 0.000441, 0.0, 0.0, 0.000443] - wavelength: [440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, - 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, - 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, - 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, - 495, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, - 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, - 523, 524, 525, 526, 527, 528, 529, 530, 531, 532, 533, 534, 535, 536, - 537, 538] - units: '1' - - aliases: [band_03, B03, Band3] - dtype: uint16 - name: B03 - nodata: 0 - spectral_definition: - response: [0.00084, 0.016372, 0.037688, 0.080665, 0.169509, 0.341374, 0.573031, - 0.746711, 0.828036, 0.868228, 0.888565, 0.891572, 0.87815, 0.860271, 0.843698, - 0.834035, 0.832617, 0.844968, 0.867734, 0.897361, 0.933938, 0.966923, - 0.990762, 1.0, 0.997812, 0.981107, 0.947088, 0.907183, 0.868656, 0.837622, - 0.81291, 0.792434, 0.7851, 0.789606, 0.807011, 0.830458, 0.846433, 0.858402, - 0.85799, 0.799824, 0.62498, 0.386994, 0.200179, 0.098293, 0.042844, 0.016512] - wavelength: [537, 538, 539, 540, 541, 542, 543, 544, 545, 546, 547, 548, 549, - 550, 551, 552, 553, 554, 555, 556, 557, 558, 559, 560, 561, 562, 563, - 564, 565, 566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, - 578, 579, 580, 581, 582] - units: '1' - - aliases: [band_04, B04, Band4] - dtype: uint16 - name: B04 - nodata: 0 - spectral_definition: - response: [0.002584, 0.034529, 0.14997, 0.464826, 0.817746, 0.965324, 0.983869, - 0.9969, 1.0, 0.995449, 0.991334, 0.977215, 0.936802, 0.873776, 0.814166, - 0.776669, 0.764864, 0.775091, 0.801359, 0.830828, 0.857112, 0.883581, - 0.90895, 0.934759, 0.955931, 0.96811, 0.973219, 0.971572, 0.969003, 0.965712, - 0.960481, 0.944811, 0.884152, 0.706167, 0.422967, 0.189853, 0.063172, - 0.020615, 0.002034] - wavelength: [646, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, - 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, - 673, 674, 675, 676, 677, 678, 679, 680, 681, 682, 683, 684] - units: '1' - - aliases: [band_05, B05, Band5] - dtype: uint16 - name: B05 - nodata: 0 - spectral_definition: - response: [0.001187, 0.04126, 0.167712, 0.478496, 0.833878, 0.985479, 1.0, - 0.999265, 0.993239, 0.982416, 0.965583, 0.945953, 0.924699, 0.902399, - 0.885582, 0.861231, 0.757197, 0.521268, 0.196706, 0.036825] - wavelength: [694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 706, - 707, 708, 709, 710, 711, 712, 713] - units: '1' - - aliases: [band_06, B06, Band6] - dtype: uint16 - name: B06 - nodata: 0 - spectral_definition: - response: [0.005331, 0.085006, 0.345714, 0.750598, 0.920265, 0.917917, 0.934211, - 0.957861, 0.975829, 0.981932, 0.981518, 0.993406, 1.0, 0.982579, 0.962584, - 0.854908, 0.506722, 0.135357, 0.013438] - wavelength: [731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, - 744, 745, 746, 747, 748, 749] - units: '1' - - aliases: [band_07, B07, Band7] - dtype: uint16 - name: B07 - nodata: 0 - spectral_definition: - response: [0.001595, 0.014731, 0.067032, 0.199495, 0.422803, 0.694015, 0.898494, - 0.983173, 0.994759, 1.0, 0.994913, 0.964657, 0.908117, 0.846898, 0.802091, - 0.778839, 0.777241, 0.789523, 0.800984, 0.802916, 0.791711, 0.757695, - 0.677951, 0.536855, 0.364033, 0.193498, 0.077219, 0.019707, 0.003152] - wavelength: [769, 770, 771, 772, 773, 774, 775, 776, 777, 778, 779, 780, 781, - 782, 783, 784, 785, 786, 787, 788, 789, 790, 791, 792, 793, 794, 795, - 796, 797] - units: '1' - - aliases: [band_08, B08, Band8] - dtype: uint16 - name: B08 - nodata: 0 - spectral_definition: - response: [0.000451, 0.007614, 0.019072, 0.033498, 0.056536, 0.087148, 0.13246, - 0.203436, 0.314068, 0.450085, 0.587433, 0.714518, 0.81829, 0.902932, 0.960732, - 0.993723, 1.0, 0.985213, 0.958376, 0.93655, 0.925816, 0.930376, 0.941281, - 0.953344, 0.962183, 0.965631, 0.963105, 0.959009, 0.951205, 0.945147, - 0.943136, 0.945814, 0.945357, 0.943762, 0.937084, 0.92789, 0.915897, 0.900979, - 0.881577, 0.86216, 0.8432, 0.822684, 0.801819, 0.776911, 0.755632, 0.737893, - 0.722217, 0.708669, 0.698416, 0.690211, 0.682257, 0.681494, 0.682649, - 0.678491, 0.67595, 0.671304, 0.665538, 0.660812, 0.658739, 0.65831, 0.66407, - 0.672731, 0.685501, 0.701159, 0.720686, 0.742292, 0.75953, 0.776608, 0.784061, - 0.78772, 0.787693, 0.783525, 0.776161, 0.768339, 0.759264, 0.745943, 0.733022, - 0.720589, 0.706663, 0.69087, 0.675896, 0.661558, 0.649339, 0.638008, 0.627424, - 0.618963, 0.610945, 0.604322, 0.597408, 0.591724, 0.586961, 0.582746, - 0.581202, 0.57948, 0.580197, 0.582505, 0.585308, 0.589481, 0.592827, 0.596749, - 0.601372, 0.603234, 0.605476, 0.608972, 0.613463, 0.618715, 0.626841, - 0.637436, 0.648791, 0.659233, 0.66734, 0.668624, 0.659924, 0.641666, 0.615841, - 0.583567, 0.552076, 0.526407, 0.507116, 0.49653, 0.499119, 0.512088, 0.529093, - 0.542739, 0.537964, 0.495953, 0.419305, 0.326791, 0.231085, 0.14854, 0.089683, - 0.054977, 0.033246, 0.019774, 0.007848, 0.001286] - wavelength: [773, 774, 775, 776, 777, 778, 779, 780, 781, 782, 783, 784, 785, - 786, 787, 788, 789, 790, 791, 792, 793, 794, 795, 796, 797, 798, 799, - 800, 801, 802, 803, 804, 805, 806, 807, 808, 809, 810, 811, 812, 813, - 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, - 828, 829, 830, 831, 832, 833, 834, 835, 836, 837, 838, 839, 840, 841, - 842, 843, 844, 845, 846, 847, 848, 849, 850, 851, 852, 853, 854, 855, - 856, 857, 858, 859, 860, 861, 862, 863, 864, 865, 866, 867, 868, 869, - 870, 871, 872, 873, 874, 875, 876, 877, 878, 879, 880, 881, 882, 883, - 884, 885, 886, 887, 888, 889, 890, 891, 892, 893, 894, 895, 896, 897, - 898, 899, 900, 901, 902, 903, 904, 905, 906, 907, 908] - units: '1' - - aliases: [band_8A, B8A, Band8A] - dtype: uint16 - name: B8A - nodata: 0 - spectral_definition: - response: [0.001651, 0.013242, 0.02471, 0.051379, 0.104944, 0.216577, 0.384865, - 0.585731, 0.774481, 0.87843, 0.914944, 0.922574, 0.926043, 0.929676, 0.935962, - 0.946583, 0.955792, 0.965458, 0.974461, 0.97988, 0.983325, 0.982881, 0.988474, - 1.0, 0.999626, 0.921005, 0.728632, 0.472189, 0.238082, 0.106955, 0.046096, - 0.022226, 0.008819, 0.000455] - wavelength: [848, 849, 850, 851, 852, 853, 854, 855, 856, 857, 858, 859, 860, - 861, 862, 863, 864, 865, 866, 867, 868, 869, 870, 871, 872, 873, 874, - 875, 876, 877, 878, 879, 880, 881] - units: '1' - - aliases: [band_09, B09, Band9] - dtype: uint16 - name: B09 - nodata: 0 - spectral_definition: - response: [0.018022, 0.065698, 0.184737, 0.408108, 0.679541, 0.873658, 0.929939, - 0.963266, 0.983566, 0.99069, 0.996767, 0.977237, 0.979057, 0.998123, 0.989646, - 1.0, 0.987516, 0.985535, 0.956408, 0.965775, 0.931094, 0.863762, 0.704633, - 0.450443, 0.201668, 0.059807, 0.013928] - wavelength: [932, 933, 934, 935, 936, 937, 938, 939, 940, 941, 942, 943, 944, - 945, 946, 947, 948, 949, 950, 951, 952, 953, 954, 955, 956, 957, 958] - units: '1' - - aliases: [band_10, B10, Band10] - dtype: uint16 - name: B10 - nodata: 0 - spectral_definition: - response: [0.000238, 5.4e-05, 3.1e-05, 2.9e-05, 7.6e-05, 0.00011, 8.8e-05, - 0.000124, 0.000176, 0.000334, 0.000372, 0.000449, 0.000658, 0.001089, - 0.001968, 0.003736, 0.008017, 0.018845, 0.044656, 0.101545, 0.200855, - 0.342389, 0.506472, 0.662498, 0.783168, 0.86121, 0.91, 0.942126, 0.962015, - 0.97375, 0.981721, 0.987945, 0.992811, 0.996479, 0.999049, 1.0, 0.999092, - 0.99605, 0.990956, 0.984854, 0.978085, 0.970373, 0.96089, 0.948599, 0.933275, - 0.915014, 0.894075, 0.868635, 0.830745, 0.764525, 0.655301, 0.507854, - 0.351455, 0.219308, 0.127481, 0.068372, 0.03262, 0.013688, 0.0055, 0.0024, - 0.001125, 0.000545, 0.00035, 0.000177, 0.000219, 0.000197, 0.000106, 6.0e-05, - 5.1e-05, 6.2e-05, 5.6e-05, 3.9e-05, 3.2e-05, 0.000121, 0.000109, 2.5e-05] - wavelength: [1337, 1338, 1339, 1340, 1341, 1342, 1343, 1344, 1345, 1346, 1347, - 1348, 1349, 1350, 1351, 1352, 1353, 1354, 1355, 1356, 1357, 1358, 1359, - 1360, 1361, 1362, 1363, 1364, 1365, 1366, 1367, 1368, 1369, 1370, 1371, - 1372, 1373, 1374, 1375, 1376, 1377, 1378, 1379, 1380, 1381, 1382, 1383, - 1384, 1385, 1386, 1387, 1388, 1389, 1390, 1391, 1392, 1393, 1394, 1395, - 1396, 1397, 1398, 1399, 1400, 1401, 1402, 1403, 1404, 1405, 1406, 1407, - 1408, 1409, 1410, 1411, 1412] - units: '1' - - aliases: [band_11, B11, Band11] - dtype: uint16 - name: B11 - nodata: 0 - spectral_definition: - response: [7.0e-06, 7.0e-06, 8.0e-06, 2.8e-05, 3.8e-05, 9.1e-05, 0.000147, - 0.000251, 0.00048, 0.00057, 0.000662, 0.000911, 0.001166, 0.001684, 0.002458, - 0.003567, 0.005345, 0.008318, 0.012628, 0.018996, 0.027781, 0.039584, - 0.054865, 0.07493, 0.10107, 0.135476, 0.182597, 0.247276, 0.330736, 0.429691, - 0.537634, 0.647173, 0.743528, 0.815215, 0.859202, 0.879669, 0.88703, 0.889098, - 0.891417, 0.897586, 0.906631, 0.916528, 0.926579, 0.935322, 0.942394, - 0.947507, 0.951416, 0.954254, 0.956429, 0.958205, 0.960688, 0.96348, 0.965797, - 0.96818, 0.971012, 0.97338, 0.975915, 0.978581, 0.979878, 0.980589, 0.980912, - 0.981412, 0.981244, 0.980705, 0.980377, 0.981066, 0.982736, 0.985122, - 0.987807, 0.990376, 0.992016, 0.993288, 0.992536, 0.990405, 0.987128, - 0.983502, 0.980023, 0.976174, 0.972568, 0.969828, 0.967709, 0.966371, - 0.965849, 0.96605, 0.967427, 0.96987, 0.973463, 0.978683, 0.983472, 0.987635, - 0.991875, 0.995476, 0.997586, 0.998568, 0.999328, 0.999234, 0.998804, - 0.999111, 0.99973, 0.999745, 1.0, 0.999814, 0.996693, 0.99162, 0.985702, - 0.978569, 0.969903, 0.960896, 0.953287, 0.946546, 0.941712, 0.938586, - 0.935489, 0.928114, 0.912102, 0.880598, 0.82498, 0.743118, 0.641891, 0.534002, - 0.426963, 0.32371, 0.234284, 0.163972, 0.110211, 0.072478, 0.046194, 0.029401, - 0.019359, 0.013308, 0.009317, 0.006523, 0.004864, 0.003409, 0.002491, - 0.001958, 0.001423, 0.001055, 0.000498, 0.000228, 0.000159, 3.4e-05, 4.5e-05, - 1.3e-05] - wavelength: [1539, 1540, 1541, 1542, 1543, 1544, 1545, 1546, 1547, 1548, 1549, - 1550, 1551, 1552, 1553, 1554, 1555, 1556, 1557, 1558, 1559, 1560, 1561, - 1562, 1563, 1564, 1565, 1566, 1567, 1568, 1569, 1570, 1571, 1572, 1573, - 1574, 1575, 1576, 1577, 1578, 1579, 1580, 1581, 1582, 1583, 1584, 1585, - 1586, 1587, 1588, 1589, 1590, 1591, 1592, 1593, 1594, 1595, 1596, 1597, - 1598, 1599, 1600, 1601, 1602, 1603, 1604, 1605, 1606, 1607, 1608, 1609, - 1610, 1611, 1612, 1613, 1614, 1615, 1616, 1617, 1618, 1619, 1620, 1621, - 1622, 1623, 1624, 1625, 1626, 1627, 1628, 1629, 1630, 1631, 1632, 1633, - 1634, 1635, 1636, 1637, 1638, 1639, 1640, 1641, 1642, 1643, 1644, 1645, - 1646, 1647, 1648, 1649, 1650, 1651, 1652, 1653, 1654, 1655, 1656, 1657, - 1658, 1659, 1660, 1661, 1662, 1663, 1664, 1665, 1666, 1667, 1668, 1669, - 1670, 1671, 1672, 1673, 1674, 1675, 1676, 1677, 1678, 1679, 1680, 1681, - 1682] - units: '1' - - aliases: [band_12, B12, Band12] - dtype: uint16 - name: B12 - nodata: 0 - spectral_definition: - response: [0.000639, 0.001023, 0.002885, 0.003997, 0.006597, 0.00766, 0.008004, - 0.00854, 0.0093, 0.010002, 0.010972, 0.012089, 0.013364, 0.015017, 0.017126, - 0.01978, 0.023336, 0.027668, 0.033216, 0.040217, 0.048883, 0.059642, 0.073175, - 0.090535, 0.11147, 0.136903, 0.167811, 0.203461, 0.242871, 0.284898, 0.327178, - 0.368404, 0.408003, 0.444778, 0.476537, 0.503107, 0.525318, 0.543352, - 0.557253, 0.568634, 0.57903, 0.588684, 0.598891, 0.609981, 0.621362, 0.634283, - 0.648546, 0.663707, 0.680046, 0.696165, 0.711964, 0.727011, 0.741301, - 0.757405, 0.772071, 0.785581, 0.798238, 0.809677, 0.819702, 0.828599, - 0.836722, 0.844443, 0.851107, 0.853252, 0.854746, 0.856174, 0.857821, - 0.859532, 0.86146, 0.863257, 0.865139, 0.867319, 0.869696, 0.874302, 0.878588, - 0.882439, 0.885929, 0.889473, 0.893226, 0.896696, 0.899897, 0.902596, - 0.904831, 0.905525, 0.905665, 0.905503, 0.905158, 0.904783, 0.904082, - 0.903347, 0.902761, 0.902377, 0.901983, 0.903424, 0.904313, 0.905315, - 0.906446, 0.908092, 0.910123, 0.91295, 0.915585, 0.918444, 0.921302, 0.924337, - 0.927219, 0.92974, 0.931922, 0.934142, 0.935906, 0.937086, 0.937641, 0.938301, - 0.937652, 0.940441, 0.942518, 0.943259, 0.943031, 0.942117, 0.940632, - 0.938428, 0.93666, 0.935256, 0.933022, 0.92688, 0.921057, 0.915483, 0.91102, - 0.908293, 0.907283, 0.908191, 0.911169, 0.916189, 0.922855, 0.920605, - 0.919482, 0.919489, 0.921276, 0.924526, 0.927733, 0.931974, 0.93677, 0.941483, - 0.946802, 0.951203, 0.954437, 0.957047, 0.959729, 0.962539, 0.964858, - 0.966042, 0.966647, 0.96631, 0.96546, 0.964841, 0.963656, 0.961698, 0.959454, - 0.957327, 0.95514, 0.953558, 0.952732, 0.952181, 0.951731, 0.952146, 0.952641, - 0.954057, 0.957078, 0.960639, 0.964222, 0.968307, 0.972691, 0.977423, - 0.982898, 0.987144, 0.990734, 0.993983, 0.996787, 0.998753, 1.0, 0.999927, - 0.999152, 0.997129, 0.993884, 0.989686, 0.983735, 0.976213, 0.967813, - 0.958343, 0.94844, 0.938203, 0.927725, 0.917039, 0.905999, 0.893868, 0.881683, - 0.868647, 0.854635, 0.84062, 0.826016, 0.809516, 0.791867, 0.772443, 0.749107, - 0.720346, 0.688185, 0.651283, 0.61005, 0.566031, 0.52097, 0.474659, 0.429259, - 0.385857, 0.342092, 0.30068, 0.263176, 0.227704, 0.195721, 0.16809, 0.14468, - 0.124831, 0.108237, 0.094401, 0.082363, 0.0715, 0.062691, 0.054985, 0.048195, - 0.042864, 0.038598, 0.034947, 0.031999, 0.029588, 0.027418, 0.025577, - 0.023959, 0.021672, 0.019148, 0.016331, 0.010989, 0.007379, 0.006511, - 0.00471, 0.002065] - wavelength: [2078, 2079, 2080, 2081, 2082, 2083, 2084, 2085, 2086, 2087, 2088, - 2089, 2090, 2091, 2092, 2093, 2094, 2095, 2096, 2097, 2098, 2099, 2100, - 2101, 2102, 2103, 2104, 2105, 2106, 2107, 2108, 2109, 2110, 2111, 2112, - 2113, 2114, 2115, 2116, 2117, 2118, 2119, 2120, 2121, 2122, 2123, 2124, - 2125, 2126, 2127, 2128, 2129, 2130, 2131, 2132, 2133, 2134, 2135, 2136, - 2137, 2138, 2139, 2140, 2141, 2142, 2143, 2144, 2145, 2146, 2147, 2148, - 2149, 2150, 2151, 2152, 2153, 2154, 2155, 2156, 2157, 2158, 2159, 2160, - 2161, 2162, 2163, 2164, 2165, 2166, 2167, 2168, 2169, 2170, 2171, 2172, - 2173, 2174, 2175, 2176, 2177, 2178, 2179, 2180, 2181, 2182, 2183, 2184, - 2185, 2186, 2187, 2188, 2189, 2190, 2191, 2192, 2193, 2194, 2195, 2196, - 2197, 2198, 2199, 2200, 2201, 2202, 2203, 2204, 2205, 2206, 2207, 2208, - 2209, 2210, 2211, 2212, 2213, 2214, 2215, 2216, 2217, 2218, 2219, 2220, - 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, - 2233, 2234, 2235, 2236, 2237, 2238, 2239, 2240, 2241, 2242, 2243, 2244, - 2245, 2246, 2247, 2248, 2249, 2250, 2251, 2252, 2253, 2254, 2255, 2256, - 2257, 2258, 2259, 2260, 2261, 2262, 2263, 2264, 2265, 2266, 2267, 2268, - 2269, 2270, 2271, 2272, 2273, 2274, 2275, 2276, 2277, 2278, 2279, 2280, - 2281, 2282, 2283, 2284, 2285, 2286, 2287, 2288, 2289, 2290, 2291, 2292, - 2293, 2294, 2295, 2296, 2297, 2298, 2299, 2300, 2301, 2302, 2303, 2304, - 2305, 2306, 2307, 2308, 2309, 2310, 2311, 2312, 2313, 2314, 2315, 2316, - 2317, 2318, 2319, 2320] - units: '1' -metadata: - format: {name: JPEG2000} - instrument: {name: MSI} - platform: {code: Sentinel-2B} - processing_level: Level-1C - product_format: {name: SAFE_COMPACT} - product_type: S2MSI1C -metadata_type: eo -name: s2b_level1c_granule diff --git a/digitalearthau/config/products/ga_s2_ard.yaml b/digitalearthau/config/products/ga_s2_ard.yaml deleted file mode 100644 index e1e7ec94..00000000 --- a/digitalearthau/config/products/ga_s2_ard.yaml +++ /dev/null @@ -1,1853 +0,0 @@ -description: Sentinel-2A MSI ARD - NBAR NBART and Pixel Quality -measurements: - - aliases: [azimuthal_exiting] - dtype: float32 - name: azimuthal_exiting - nodata: -999 - units: '1' - - aliases: [azimuthal_incident] - dtype: float32 - name: azimuthal_incident - nodata: -999 - units: '1' - - aliases: [exiting] - dtype: float32 - name: exiting - nodata: -999 - units: '1' - - aliases: [incident] - dtype: float32 - name: incident - nodata: -999 - units: '1' - - aliases: [relative_azimuth] - dtype: float32 - name: relative_azimuth - nodata: -999 - units: '1' - - aliases: [relative_slope] - dtype: float32 - name: relative_slope - nodata: -999 - units: '1' - - aliases: [satellite_azimuth] - dtype: float32 - name: satellite_azimuth - nodata: -999 - units: '1' - - aliases: [satellite_view] - dtype: float32 - name: satellite_view - nodata: -999 - units: '1' - - aliases: [solar_azimuth] - dtype: float32 - name: solar_azimuth - nodata: -999 - units: '1' - - aliases: [solar_zenith] - dtype: float32 - name: solar_zenith - nodata: -999 - units: '1' - - aliases: [terrain_shadow] - dtype: uint8 - name: terrain_shadow - nodata: 0 - units: '1' - - aliases: [mask, Fmask] - dtype: uint8 - flags_definition: - fmask: - bits: [0, 1, 2, 3, 4, 5, 6, 7] - description: Fmask - values: {'0': nodata, '1': valid, '2': cloud, '3': shadow, '4': snow, - '5': water} - name: fmask - nodata: 0 - units: '1' - - dtype: uint8 - flags_definition: - contiguity: - bits: [0, 1, 2, 3, 4, 5, 6, 7] - description: Pixel contiguity in band stack - values: {'0': not_contiguous, '1': contiguous} - name: nbar_contiguity - nodata: 255 - units: '1' - - aliases: [nbar_band_01, nbar_B01, nbar_Band1] - dtype: int16 - name: nbar_coastal_aerosol - nodata: -999 - spectral_definition: - response: [0.015297, 0.067133, 0.19593, 0.357242, 0.460571, 0.511598, 0.551051, - 0.587385, 0.613478, 0.650014, 0.699199, 0.74543, 0.792047, 0.862824, 0.947307, - 0.993878, 1.0, 0.990178, 0.972897, 0.957042, 0.956726, 0.922389, 0.723933, - 0.388302, 0.14596, 0.051814, 0.017459, 0.000303] - wavelength: [430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, - 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, - 457] - units: '1' - - aliases: [nbar_band_02, nbar_B02, nbar_Band2] - dtype: int16 - name: nbar_blue - nodata: -999 - spectral_definition: - response: [0.001206, 0.00204, 0.002623, 0.002738, 0.002746, 0.002076, 0.003246, - 0.002224, 0.002789, 0.003127, 0.002377, 0.003776, 0.002856, 0.003063, - 0.00607, 0.009028, 0.019547, 0.038955, 0.084088, 0.176255, 0.292197, 0.364612, - 0.382418, 0.385789, 0.393447, 0.400158, 0.410291, 0.424686, 0.449286, - 0.481594, 0.505323, 0.523406, 0.529543, 0.534688, 0.533786, 0.534656, - 0.5381, 0.543691, 0.557717, 0.578585, 0.601967, 0.616037, 0.621092, 0.613597, - 0.596062, 0.575863, 0.558063, 0.546131, 0.542099, 0.553602, 0.571684, - 0.598269, 0.633236, 0.67337, 0.711752, 0.738396, 0.758249, 0.768325, 0.773367, - 0.780468, 0.788363, 0.795449, 0.809151, 0.824011, 0.837709, 0.844983, - 0.847328, 0.840111, 0.825797, 0.804778, 0.78694, 0.771578, 0.761923, 0.765487, - 0.781682, 0.810031, 0.850586, 0.901671, 0.95467, 0.987257, 1.0, 0.986389, - 0.908308, 0.724, 0.478913, 0.286992, 0.169976, 0.102833, 0.065163, 0.04116, - 0.02508, 0.013112, 0.002585, 0.001095, 0.000308, 0.000441, 0.0, 0.0, 0.000443] - wavelength: [440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, - 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, - 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, - 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, - 495, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, - 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, - 523, 524, 525, 526, 527, 528, 529, 530, 531, 532, 533, 534, 535, 536, - 537, 538] - units: '1' - - aliases: [nbar_band_03, nbar_B03, nbar_Band3] - dtype: int16 - name: nbar_green - nodata: -999 - spectral_definition: - response: [0.00084, 0.016372, 0.037688, 0.080665, 0.169509, 0.341374, 0.573031, - 0.746711, 0.828036, 0.868228, 0.888565, 0.891572, 0.87815, 0.860271, 0.843698, - 0.834035, 0.832617, 0.844968, 0.867734, 0.897361, 0.933938, 0.966923, - 0.990762, 1.0, 0.997812, 0.981107, 0.947088, 0.907183, 0.868656, 0.837622, - 0.81291, 0.792434, 0.7851, 0.789606, 0.807011, 0.830458, 0.846433, 0.858402, - 0.85799, 0.799824, 0.62498, 0.386994, 0.200179, 0.098293, 0.042844, 0.016512] - wavelength: [537, 538, 539, 540, 541, 542, 543, 544, 545, 546, 547, 548, 549, - 550, 551, 552, 553, 554, 555, 556, 557, 558, 559, 560, 561, 562, 563, - 564, 565, 566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, - 578, 579, 580, 581, 582] - units: '1' - - aliases: [nbar_band_04, nbar_B04, nbar_Band4] - dtype: int16 - name: nbar_red - nodata: -999 - spectral_definition: - response: [0.002584, 0.034529, 0.14997, 0.464826, 0.817746, 0.965324, 0.983869, - 0.9969, 1.0, 0.995449, 0.991334, 0.977215, 0.936802, 0.873776, 0.814166, - 0.776669, 0.764864, 0.775091, 0.801359, 0.830828, 0.857112, 0.883581, - 0.90895, 0.934759, 0.955931, 0.96811, 0.973219, 0.971572, 0.969003, 0.965712, - 0.960481, 0.944811, 0.884152, 0.706167, 0.422967, 0.189853, 0.063172, - 0.020615, 0.002034] - wavelength: [646, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, - 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, - 673, 674, 675, 676, 677, 678, 679, 680, 681, 682, 683, 684] - units: '1' - - aliases: [nbar_band_05, nbar_B05, nbar_Band5] - dtype: int16 - name: nbar_red_edge_1 - nodata: -999 - spectral_definition: - response: [0.001187, 0.04126, 0.167712, 0.478496, 0.833878, 0.985479, 1.0, - 0.999265, 0.993239, 0.982416, 0.965583, 0.945953, 0.924699, 0.902399, - 0.885582, 0.861231, 0.757197, 0.521268, 0.196706, 0.036825] - wavelength: [694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 706, - 707, 708, 709, 710, 711, 712, 713] - units: '1' - - aliases: [nbar_band_06, nbar_B06, nbar_Band6] - dtype: int16 - name: nbar_red_edge_2 - nodata: -999 - spectral_definition: - response: [0.005331, 0.085006, 0.345714, 0.750598, 0.920265, 0.917917, 0.934211, - 0.957861, 0.975829, 0.981932, 0.981518, 0.993406, 1.0, 0.982579, 0.962584, - 0.854908, 0.506722, 0.135357, 0.013438] - wavelength: [731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, - 744, 745, 746, 747, 748, 749] - units: '1' - - aliases: [nbar_band_07, nbar_B07, nbar_Band7] - dtype: int16 - name: nbar_red_edge_3 - nodata: -999 - spectral_definition: - response: [0.001595, 0.014731, 0.067032, 0.199495, 0.422803, 0.694015, 0.898494, - 0.983173, 0.994759, 1.0, 0.994913, 0.964657, 0.908117, 0.846898, 0.802091, - 0.778839, 0.777241, 0.789523, 0.800984, 0.802916, 0.791711, 0.757695, - 0.677951, 0.536855, 0.364033, 0.193498, 0.077219, 0.019707, 0.003152] - wavelength: [769, 770, 771, 772, 773, 774, 775, 776, 777, 778, 779, 780, 781, - 782, 783, 784, 785, 786, 787, 788, 789, 790, 791, 792, 793, 794, 795, - 796, 797] - units: '1' - - aliases: [nbar_band_08, nbar_B08, nbar_Band8] - dtype: int16 - name: nbar_nir_1 - nodata: -999 - spectral_definition: - response: [0.000451, 0.007614, 0.019072, 0.033498, 0.056536, 0.087148, 0.13246, - 0.203436, 0.314068, 0.450085, 0.587433, 0.714518, 0.81829, 0.902932, 0.960732, - 0.993723, 1.0, 0.985213, 0.958376, 0.93655, 0.925816, 0.930376, 0.941281, - 0.953344, 0.962183, 0.965631, 0.963105, 0.959009, 0.951205, 0.945147, - 0.943136, 0.945814, 0.945357, 0.943762, 0.937084, 0.92789, 0.915897, 0.900979, - 0.881577, 0.86216, 0.8432, 0.822684, 0.801819, 0.776911, 0.755632, 0.737893, - 0.722217, 0.708669, 0.698416, 0.690211, 0.682257, 0.681494, 0.682649, - 0.678491, 0.67595, 0.671304, 0.665538, 0.660812, 0.658739, 0.65831, 0.66407, - 0.672731, 0.685501, 0.701159, 0.720686, 0.742292, 0.75953, 0.776608, 0.784061, - 0.78772, 0.787693, 0.783525, 0.776161, 0.768339, 0.759264, 0.745943, 0.733022, - 0.720589, 0.706663, 0.69087, 0.675896, 0.661558, 0.649339, 0.638008, 0.627424, - 0.618963, 0.610945, 0.604322, 0.597408, 0.591724, 0.586961, 0.582746, - 0.581202, 0.57948, 0.580197, 0.582505, 0.585308, 0.589481, 0.592827, 0.596749, - 0.601372, 0.603234, 0.605476, 0.608972, 0.613463, 0.618715, 0.626841, - 0.637436, 0.648791, 0.659233, 0.66734, 0.668624, 0.659924, 0.641666, 0.615841, - 0.583567, 0.552076, 0.526407, 0.507116, 0.49653, 0.499119, 0.512088, 0.529093, - 0.542739, 0.537964, 0.495953, 0.419305, 0.326791, 0.231085, 0.14854, 0.089683, - 0.054977, 0.033246, 0.019774, 0.007848, 0.001286] - wavelength: [773, 774, 775, 776, 777, 778, 779, 780, 781, 782, 783, 784, 785, - 786, 787, 788, 789, 790, 791, 792, 793, 794, 795, 796, 797, 798, 799, - 800, 801, 802, 803, 804, 805, 806, 807, 808, 809, 810, 811, 812, 813, - 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, - 828, 829, 830, 831, 832, 833, 834, 835, 836, 837, 838, 839, 840, 841, - 842, 843, 844, 845, 846, 847, 848, 849, 850, 851, 852, 853, 854, 855, - 856, 857, 858, 859, 860, 861, 862, 863, 864, 865, 866, 867, 868, 869, - 870, 871, 872, 873, 874, 875, 876, 877, 878, 879, 880, 881, 882, 883, - 884, 885, 886, 887, 888, 889, 890, 891, 892, 893, 894, 895, 896, 897, - 898, 899, 900, 901, 902, 903, 904, 905, 906, 907, 908] - units: '1' - - aliases: [nbar_band_8A, nbar_B8A, nbar_Band8A] - dtype: int16 - name: nbar_nir_2 - nodata: -999 - spectral_definition: - response: [0.001651, 0.013242, 0.02471, 0.051379, 0.104944, 0.216577, 0.384865, - 0.585731, 0.774481, 0.87843, 0.914944, 0.922574, 0.926043, 0.929676, 0.935962, - 0.946583, 0.955792, 0.965458, 0.974461, 0.97988, 0.983325, 0.982881, 0.988474, - 1.0, 0.999626, 0.921005, 0.728632, 0.472189, 0.238082, 0.106955, 0.046096, - 0.022226, 0.008819, 0.000455] - wavelength: [848, 849, 850, 851, 852, 853, 854, 855, 856, 857, 858, 859, 860, - 861, 862, 863, 864, 865, 866, 867, 868, 869, 870, 871, 872, 873, 874, - 875, 876, 877, 878, 879, 880, 881] - units: '1' - - aliases: [nbar_band_11, nbar_B11, nbar_Band11] - dtype: int16 - name: nbar_swir_2 - nodata: -999 - spectral_definition: - response: [7.0e-06, 7.0e-06, 8.0e-06, 2.8e-05, 3.8e-05, 9.1e-05, 0.000147, - 0.000251, 0.00048, 0.00057, 0.000662, 0.000911, 0.001166, 0.001684, 0.002458, - 0.003567, 0.005345, 0.008318, 0.012628, 0.018996, 0.027781, 0.039584, - 0.054865, 0.07493, 0.10107, 0.135476, 0.182597, 0.247276, 0.330736, 0.429691, - 0.537634, 0.647173, 0.743528, 0.815215, 0.859202, 0.879669, 0.88703, 0.889098, - 0.891417, 0.897586, 0.906631, 0.916528, 0.926579, 0.935322, 0.942394, - 0.947507, 0.951416, 0.954254, 0.956429, 0.958205, 0.960688, 0.96348, 0.965797, - 0.96818, 0.971012, 0.97338, 0.975915, 0.978581, 0.979878, 0.980589, 0.980912, - 0.981412, 0.981244, 0.980705, 0.980377, 0.981066, 0.982736, 0.985122, - 0.987807, 0.990376, 0.992016, 0.993288, 0.992536, 0.990405, 0.987128, - 0.983502, 0.980023, 0.976174, 0.972568, 0.969828, 0.967709, 0.966371, - 0.965849, 0.96605, 0.967427, 0.96987, 0.973463, 0.978683, 0.983472, 0.987635, - 0.991875, 0.995476, 0.997586, 0.998568, 0.999328, 0.999234, 0.998804, - 0.999111, 0.99973, 0.999745, 1.0, 0.999814, 0.996693, 0.99162, 0.985702, - 0.978569, 0.969903, 0.960896, 0.953287, 0.946546, 0.941712, 0.938586, - 0.935489, 0.928114, 0.912102, 0.880598, 0.82498, 0.743118, 0.641891, 0.534002, - 0.426963, 0.32371, 0.234284, 0.163972, 0.110211, 0.072478, 0.046194, 0.029401, - 0.019359, 0.013308, 0.009317, 0.006523, 0.004864, 0.003409, 0.002491, - 0.001958, 0.001423, 0.001055, 0.000498, 0.000228, 0.000159, 3.4e-05, 4.5e-05, - 1.3e-05] - wavelength: [1539, 1540, 1541, 1542, 1543, 1544, 1545, 1546, 1547, 1548, 1549, - 1550, 1551, 1552, 1553, 1554, 1555, 1556, 1557, 1558, 1559, 1560, 1561, - 1562, 1563, 1564, 1565, 1566, 1567, 1568, 1569, 1570, 1571, 1572, 1573, - 1574, 1575, 1576, 1577, 1578, 1579, 1580, 1581, 1582, 1583, 1584, 1585, - 1586, 1587, 1588, 1589, 1590, 1591, 1592, 1593, 1594, 1595, 1596, 1597, - 1598, 1599, 1600, 1601, 1602, 1603, 1604, 1605, 1606, 1607, 1608, 1609, - 1610, 1611, 1612, 1613, 1614, 1615, 1616, 1617, 1618, 1619, 1620, 1621, - 1622, 1623, 1624, 1625, 1626, 1627, 1628, 1629, 1630, 1631, 1632, 1633, - 1634, 1635, 1636, 1637, 1638, 1639, 1640, 1641, 1642, 1643, 1644, 1645, - 1646, 1647, 1648, 1649, 1650, 1651, 1652, 1653, 1654, 1655, 1656, 1657, - 1658, 1659, 1660, 1661, 1662, 1663, 1664, 1665, 1666, 1667, 1668, 1669, - 1670, 1671, 1672, 1673, 1674, 1675, 1676, 1677, 1678, 1679, 1680, 1681, - 1682] - units: '1' - - aliases: [nbar_band_12, nbar_B12, nbar_Band12] - dtype: int16 - name: nbar_swir_3 - nodata: -999 - spectral_definition: - response: [0.000639, 0.001023, 0.002885, 0.003997, 0.006597, 0.00766, 0.008004, - 0.00854, 0.0093, 0.010002, 0.010972, 0.012089, 0.013364, 0.015017, 0.017126, - 0.01978, 0.023336, 0.027668, 0.033216, 0.040217, 0.048883, 0.059642, 0.073175, - 0.090535, 0.11147, 0.136903, 0.167811, 0.203461, 0.242871, 0.284898, 0.327178, - 0.368404, 0.408003, 0.444778, 0.476537, 0.503107, 0.525318, 0.543352, - 0.557253, 0.568634, 0.57903, 0.588684, 0.598891, 0.609981, 0.621362, 0.634283, - 0.648546, 0.663707, 0.680046, 0.696165, 0.711964, 0.727011, 0.741301, - 0.757405, 0.772071, 0.785581, 0.798238, 0.809677, 0.819702, 0.828599, - 0.836722, 0.844443, 0.851107, 0.853252, 0.854746, 0.856174, 0.857821, - 0.859532, 0.86146, 0.863257, 0.865139, 0.867319, 0.869696, 0.874302, 0.878588, - 0.882439, 0.885929, 0.889473, 0.893226, 0.896696, 0.899897, 0.902596, - 0.904831, 0.905525, 0.905665, 0.905503, 0.905158, 0.904783, 0.904082, - 0.903347, 0.902761, 0.902377, 0.901983, 0.903424, 0.904313, 0.905315, - 0.906446, 0.908092, 0.910123, 0.91295, 0.915585, 0.918444, 0.921302, 0.924337, - 0.927219, 0.92974, 0.931922, 0.934142, 0.935906, 0.937086, 0.937641, 0.938301, - 0.937652, 0.940441, 0.942518, 0.943259, 0.943031, 0.942117, 0.940632, - 0.938428, 0.93666, 0.935256, 0.933022, 0.92688, 0.921057, 0.915483, 0.91102, - 0.908293, 0.907283, 0.908191, 0.911169, 0.916189, 0.922855, 0.920605, - 0.919482, 0.919489, 0.921276, 0.924526, 0.927733, 0.931974, 0.93677, 0.941483, - 0.946802, 0.951203, 0.954437, 0.957047, 0.959729, 0.962539, 0.964858, - 0.966042, 0.966647, 0.96631, 0.96546, 0.964841, 0.963656, 0.961698, 0.959454, - 0.957327, 0.95514, 0.953558, 0.952732, 0.952181, 0.951731, 0.952146, 0.952641, - 0.954057, 0.957078, 0.960639, 0.964222, 0.968307, 0.972691, 0.977423, - 0.982898, 0.987144, 0.990734, 0.993983, 0.996787, 0.998753, 1.0, 0.999927, - 0.999152, 0.997129, 0.993884, 0.989686, 0.983735, 0.976213, 0.967813, - 0.958343, 0.94844, 0.938203, 0.927725, 0.917039, 0.905999, 0.893868, 0.881683, - 0.868647, 0.854635, 0.84062, 0.826016, 0.809516, 0.791867, 0.772443, 0.749107, - 0.720346, 0.688185, 0.651283, 0.61005, 0.566031, 0.52097, 0.474659, 0.429259, - 0.385857, 0.342092, 0.30068, 0.263176, 0.227704, 0.195721, 0.16809, 0.14468, - 0.124831, 0.108237, 0.094401, 0.082363, 0.0715, 0.062691, 0.054985, 0.048195, - 0.042864, 0.038598, 0.034947, 0.031999, 0.029588, 0.027418, 0.025577, - 0.023959, 0.021672, 0.019148, 0.016331, 0.010989, 0.007379, 0.006511, - 0.00471, 0.002065] - wavelength: [2078, 2079, 2080, 2081, 2082, 2083, 2084, 2085, 2086, 2087, 2088, - 2089, 2090, 2091, 2092, 2093, 2094, 2095, 2096, 2097, 2098, 2099, 2100, - 2101, 2102, 2103, 2104, 2105, 2106, 2107, 2108, 2109, 2110, 2111, 2112, - 2113, 2114, 2115, 2116, 2117, 2118, 2119, 2120, 2121, 2122, 2123, 2124, - 2125, 2126, 2127, 2128, 2129, 2130, 2131, 2132, 2133, 2134, 2135, 2136, - 2137, 2138, 2139, 2140, 2141, 2142, 2143, 2144, 2145, 2146, 2147, 2148, - 2149, 2150, 2151, 2152, 2153, 2154, 2155, 2156, 2157, 2158, 2159, 2160, - 2161, 2162, 2163, 2164, 2165, 2166, 2167, 2168, 2169, 2170, 2171, 2172, - 2173, 2174, 2175, 2176, 2177, 2178, 2179, 2180, 2181, 2182, 2183, 2184, - 2185, 2186, 2187, 2188, 2189, 2190, 2191, 2192, 2193, 2194, 2195, 2196, - 2197, 2198, 2199, 2200, 2201, 2202, 2203, 2204, 2205, 2206, 2207, 2208, - 2209, 2210, 2211, 2212, 2213, 2214, 2215, 2216, 2217, 2218, 2219, 2220, - 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, - 2233, 2234, 2235, 2236, 2237, 2238, 2239, 2240, 2241, 2242, 2243, 2244, - 2245, 2246, 2247, 2248, 2249, 2250, 2251, 2252, 2253, 2254, 2255, 2256, - 2257, 2258, 2259, 2260, 2261, 2262, 2263, 2264, 2265, 2266, 2267, 2268, - 2269, 2270, 2271, 2272, 2273, 2274, 2275, 2276, 2277, 2278, 2279, 2280, - 2281, 2282, 2283, 2284, 2285, 2286, 2287, 2288, 2289, 2290, 2291, 2292, - 2293, 2294, 2295, 2296, 2297, 2298, 2299, 2300, 2301, 2302, 2303, 2304, - 2305, 2306, 2307, 2308, 2309, 2310, 2311, 2312, 2313, 2314, 2315, 2316, - 2317, 2318, 2319, 2320] - units: '1' - - dtype: uint8 - flags_definition: - contiguity: - bits: [0, 1, 2, 3, 4, 5, 6, 7] - description: Pixel contiguity in band stack - values: {'0': not_contiguous, '1': contiguous} - name: nbart_contiguity - nodata: 255 - units: '1' - - aliases: [nbart_band_01, nbart_B01, nbart_Band1] - dtype: int16 - name: nbart_coastal_aerosol - nodata: -999 - spectral_definition: - response: [0.015297, 0.067133, 0.19593, 0.357242, 0.460571, 0.511598, 0.551051, - 0.587385, 0.613478, 0.650014, 0.699199, 0.74543, 0.792047, 0.862824, 0.947307, - 0.993878, 1.0, 0.990178, 0.972897, 0.957042, 0.956726, 0.922389, 0.723933, - 0.388302, 0.14596, 0.051814, 0.017459, 0.000303] - wavelength: [430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, - 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, - 457] - units: '1' - - aliases: [nbart_band_02, nbart_B02, nbart_Band2] - dtype: int16 - name: nbart_blue - nodata: -999 - spectral_definition: - response: [0.001206, 0.00204, 0.002623, 0.002738, 0.002746, 0.002076, 0.003246, - 0.002224, 0.002789, 0.003127, 0.002377, 0.003776, 0.002856, 0.003063, - 0.00607, 0.009028, 0.019547, 0.038955, 0.084088, 0.176255, 0.292197, 0.364612, - 0.382418, 0.385789, 0.393447, 0.400158, 0.410291, 0.424686, 0.449286, - 0.481594, 0.505323, 0.523406, 0.529543, 0.534688, 0.533786, 0.534656, - 0.5381, 0.543691, 0.557717, 0.578585, 0.601967, 0.616037, 0.621092, 0.613597, - 0.596062, 0.575863, 0.558063, 0.546131, 0.542099, 0.553602, 0.571684, - 0.598269, 0.633236, 0.67337, 0.711752, 0.738396, 0.758249, 0.768325, 0.773367, - 0.780468, 0.788363, 0.795449, 0.809151, 0.824011, 0.837709, 0.844983, - 0.847328, 0.840111, 0.825797, 0.804778, 0.78694, 0.771578, 0.761923, 0.765487, - 0.781682, 0.810031, 0.850586, 0.901671, 0.95467, 0.987257, 1.0, 0.986389, - 0.908308, 0.724, 0.478913, 0.286992, 0.169976, 0.102833, 0.065163, 0.04116, - 0.02508, 0.013112, 0.002585, 0.001095, 0.000308, 0.000441, 0.0, 0.0, 0.000443] - wavelength: [440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, - 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, - 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, - 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, - 495, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, - 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, - 523, 524, 525, 526, 527, 528, 529, 530, 531, 532, 533, 534, 535, 536, - 537, 538] - units: '1' - - aliases: [nbart_band_03, nbart_B03, nbart_Band3] - dtype: int16 - name: nbart_green - nodata: -999 - spectral_definition: - response: [0.00084, 0.016372, 0.037688, 0.080665, 0.169509, 0.341374, 0.573031, - 0.746711, 0.828036, 0.868228, 0.888565, 0.891572, 0.87815, 0.860271, 0.843698, - 0.834035, 0.832617, 0.844968, 0.867734, 0.897361, 0.933938, 0.966923, - 0.990762, 1.0, 0.997812, 0.981107, 0.947088, 0.907183, 0.868656, 0.837622, - 0.81291, 0.792434, 0.7851, 0.789606, 0.807011, 0.830458, 0.846433, 0.858402, - 0.85799, 0.799824, 0.62498, 0.386994, 0.200179, 0.098293, 0.042844, 0.016512] - wavelength: [537, 538, 539, 540, 541, 542, 543, 544, 545, 546, 547, 548, 549, - 550, 551, 552, 553, 554, 555, 556, 557, 558, 559, 560, 561, 562, 563, - 564, 565, 566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, - 578, 579, 580, 581, 582] - units: '1' - - aliases: [nbart_band_04, nbart_B04, nbart_Band4] - dtype: int16 - name: nbart_red - nodata: -999 - spectral_definition: - response: [0.002584, 0.034529, 0.14997, 0.464826, 0.817746, 0.965324, 0.983869, - 0.9969, 1.0, 0.995449, 0.991334, 0.977215, 0.936802, 0.873776, 0.814166, - 0.776669, 0.764864, 0.775091, 0.801359, 0.830828, 0.857112, 0.883581, - 0.90895, 0.934759, 0.955931, 0.96811, 0.973219, 0.971572, 0.969003, 0.965712, - 0.960481, 0.944811, 0.884152, 0.706167, 0.422967, 0.189853, 0.063172, - 0.020615, 0.002034] - wavelength: [646, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, - 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, - 673, 674, 675, 676, 677, 678, 679, 680, 681, 682, 683, 684] - units: '1' - - aliases: [nbart_band_05, nbart_B05, nbart_Band5] - dtype: int16 - name: nbart_red_edge_1 - nodata: -999 - spectral_definition: - response: [0.001187, 0.04126, 0.167712, 0.478496, 0.833878, 0.985479, 1.0, - 0.999265, 0.993239, 0.982416, 0.965583, 0.945953, 0.924699, 0.902399, - 0.885582, 0.861231, 0.757197, 0.521268, 0.196706, 0.036825] - wavelength: [694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 706, - 707, 708, 709, 710, 711, 712, 713] - units: '1' - - aliases: [nbart_band_06, nbart_B06, nbart_Band6] - dtype: int16 - name: nbart_red_edge_2 - nodata: -999 - spectral_definition: - response: [0.005331, 0.085006, 0.345714, 0.750598, 0.920265, 0.917917, 0.934211, - 0.957861, 0.975829, 0.981932, 0.981518, 0.993406, 1.0, 0.982579, 0.962584, - 0.854908, 0.506722, 0.135357, 0.013438] - wavelength: [731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, - 744, 745, 746, 747, 748, 749] - units: '1' - - aliases: [nbart_band_07, nbart_B07, nbart_Band7] - dtype: int16 - name: nbart_red_edge_3 - nodata: -999 - spectral_definition: - response: [0.001595, 0.014731, 0.067032, 0.199495, 0.422803, 0.694015, 0.898494, - 0.983173, 0.994759, 1.0, 0.994913, 0.964657, 0.908117, 0.846898, 0.802091, - 0.778839, 0.777241, 0.789523, 0.800984, 0.802916, 0.791711, 0.757695, - 0.677951, 0.536855, 0.364033, 0.193498, 0.077219, 0.019707, 0.003152] - wavelength: [769, 770, 771, 772, 773, 774, 775, 776, 777, 778, 779, 780, 781, - 782, 783, 784, 785, 786, 787, 788, 789, 790, 791, 792, 793, 794, 795, - 796, 797] - units: '1' - - aliases: [nbart_band_08, nbart_B08, nbart_Band8] - dtype: int16 - name: nbart_nir_1 - nodata: -999 - spectral_definition: - response: [0.000451, 0.007614, 0.019072, 0.033498, 0.056536, 0.087148, 0.13246, - 0.203436, 0.314068, 0.450085, 0.587433, 0.714518, 0.81829, 0.902932, 0.960732, - 0.993723, 1.0, 0.985213, 0.958376, 0.93655, 0.925816, 0.930376, 0.941281, - 0.953344, 0.962183, 0.965631, 0.963105, 0.959009, 0.951205, 0.945147, - 0.943136, 0.945814, 0.945357, 0.943762, 0.937084, 0.92789, 0.915897, 0.900979, - 0.881577, 0.86216, 0.8432, 0.822684, 0.801819, 0.776911, 0.755632, 0.737893, - 0.722217, 0.708669, 0.698416, 0.690211, 0.682257, 0.681494, 0.682649, - 0.678491, 0.67595, 0.671304, 0.665538, 0.660812, 0.658739, 0.65831, 0.66407, - 0.672731, 0.685501, 0.701159, 0.720686, 0.742292, 0.75953, 0.776608, 0.784061, - 0.78772, 0.787693, 0.783525, 0.776161, 0.768339, 0.759264, 0.745943, 0.733022, - 0.720589, 0.706663, 0.69087, 0.675896, 0.661558, 0.649339, 0.638008, 0.627424, - 0.618963, 0.610945, 0.604322, 0.597408, 0.591724, 0.586961, 0.582746, - 0.581202, 0.57948, 0.580197, 0.582505, 0.585308, 0.589481, 0.592827, 0.596749, - 0.601372, 0.603234, 0.605476, 0.608972, 0.613463, 0.618715, 0.626841, - 0.637436, 0.648791, 0.659233, 0.66734, 0.668624, 0.659924, 0.641666, 0.615841, - 0.583567, 0.552076, 0.526407, 0.507116, 0.49653, 0.499119, 0.512088, 0.529093, - 0.542739, 0.537964, 0.495953, 0.419305, 0.326791, 0.231085, 0.14854, 0.089683, - 0.054977, 0.033246, 0.019774, 0.007848, 0.001286] - wavelength: [773, 774, 775, 776, 777, 778, 779, 780, 781, 782, 783, 784, 785, - 786, 787, 788, 789, 790, 791, 792, 793, 794, 795, 796, 797, 798, 799, - 800, 801, 802, 803, 804, 805, 806, 807, 808, 809, 810, 811, 812, 813, - 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, - 828, 829, 830, 831, 832, 833, 834, 835, 836, 837, 838, 839, 840, 841, - 842, 843, 844, 845, 846, 847, 848, 849, 850, 851, 852, 853, 854, 855, - 856, 857, 858, 859, 860, 861, 862, 863, 864, 865, 866, 867, 868, 869, - 870, 871, 872, 873, 874, 875, 876, 877, 878, 879, 880, 881, 882, 883, - 884, 885, 886, 887, 888, 889, 890, 891, 892, 893, 894, 895, 896, 897, - 898, 899, 900, 901, 902, 903, 904, 905, 906, 907, 908] - units: '1' - - aliases: [nbart_band_8A, nbart_B8A, nbart_Band8A] - dtype: int16 - name: nbart_nir_2 - nodata: -999 - spectral_definition: - response: [0.001651, 0.013242, 0.02471, 0.051379, 0.104944, 0.216577, 0.384865, - 0.585731, 0.774481, 0.87843, 0.914944, 0.922574, 0.926043, 0.929676, 0.935962, - 0.946583, 0.955792, 0.965458, 0.974461, 0.97988, 0.983325, 0.982881, 0.988474, - 1.0, 0.999626, 0.921005, 0.728632, 0.472189, 0.238082, 0.106955, 0.046096, - 0.022226, 0.008819, 0.000455] - wavelength: [848, 849, 850, 851, 852, 853, 854, 855, 856, 857, 858, 859, 860, - 861, 862, 863, 864, 865, 866, 867, 868, 869, 870, 871, 872, 873, 874, - 875, 876, 877, 878, 879, 880, 881] - units: '1' - - aliases: [nbart_band_11, nbart_B11, nbart_Band11] - dtype: int16 - name: nbart_swir_2 - nodata: -999 - spectral_definition: - response: [7.0e-06, 7.0e-06, 8.0e-06, 2.8e-05, 3.8e-05, 9.1e-05, 0.000147, - 0.000251, 0.00048, 0.00057, 0.000662, 0.000911, 0.001166, 0.001684, 0.002458, - 0.003567, 0.005345, 0.008318, 0.012628, 0.018996, 0.027781, 0.039584, - 0.054865, 0.07493, 0.10107, 0.135476, 0.182597, 0.247276, 0.330736, 0.429691, - 0.537634, 0.647173, 0.743528, 0.815215, 0.859202, 0.879669, 0.88703, 0.889098, - 0.891417, 0.897586, 0.906631, 0.916528, 0.926579, 0.935322, 0.942394, - 0.947507, 0.951416, 0.954254, 0.956429, 0.958205, 0.960688, 0.96348, 0.965797, - 0.96818, 0.971012, 0.97338, 0.975915, 0.978581, 0.979878, 0.980589, 0.980912, - 0.981412, 0.981244, 0.980705, 0.980377, 0.981066, 0.982736, 0.985122, - 0.987807, 0.990376, 0.992016, 0.993288, 0.992536, 0.990405, 0.987128, - 0.983502, 0.980023, 0.976174, 0.972568, 0.969828, 0.967709, 0.966371, - 0.965849, 0.96605, 0.967427, 0.96987, 0.973463, 0.978683, 0.983472, 0.987635, - 0.991875, 0.995476, 0.997586, 0.998568, 0.999328, 0.999234, 0.998804, - 0.999111, 0.99973, 0.999745, 1.0, 0.999814, 0.996693, 0.99162, 0.985702, - 0.978569, 0.969903, 0.960896, 0.953287, 0.946546, 0.941712, 0.938586, - 0.935489, 0.928114, 0.912102, 0.880598, 0.82498, 0.743118, 0.641891, 0.534002, - 0.426963, 0.32371, 0.234284, 0.163972, 0.110211, 0.072478, 0.046194, 0.029401, - 0.019359, 0.013308, 0.009317, 0.006523, 0.004864, 0.003409, 0.002491, - 0.001958, 0.001423, 0.001055, 0.000498, 0.000228, 0.000159, 3.4e-05, 4.5e-05, - 1.3e-05] - wavelength: [1539, 1540, 1541, 1542, 1543, 1544, 1545, 1546, 1547, 1548, 1549, - 1550, 1551, 1552, 1553, 1554, 1555, 1556, 1557, 1558, 1559, 1560, 1561, - 1562, 1563, 1564, 1565, 1566, 1567, 1568, 1569, 1570, 1571, 1572, 1573, - 1574, 1575, 1576, 1577, 1578, 1579, 1580, 1581, 1582, 1583, 1584, 1585, - 1586, 1587, 1588, 1589, 1590, 1591, 1592, 1593, 1594, 1595, 1596, 1597, - 1598, 1599, 1600, 1601, 1602, 1603, 1604, 1605, 1606, 1607, 1608, 1609, - 1610, 1611, 1612, 1613, 1614, 1615, 1616, 1617, 1618, 1619, 1620, 1621, - 1622, 1623, 1624, 1625, 1626, 1627, 1628, 1629, 1630, 1631, 1632, 1633, - 1634, 1635, 1636, 1637, 1638, 1639, 1640, 1641, 1642, 1643, 1644, 1645, - 1646, 1647, 1648, 1649, 1650, 1651, 1652, 1653, 1654, 1655, 1656, 1657, - 1658, 1659, 1660, 1661, 1662, 1663, 1664, 1665, 1666, 1667, 1668, 1669, - 1670, 1671, 1672, 1673, 1674, 1675, 1676, 1677, 1678, 1679, 1680, 1681, - 1682] - units: '1' - - aliases: [nbart_band_12, nbart_B12, nbart_Band12] - dtype: int16 - name: nbart_swir_3 - nodata: -999 - spectral_definition: - response: [0.000639, 0.001023, 0.002885, 0.003997, 0.006597, 0.00766, 0.008004, - 0.00854, 0.0093, 0.010002, 0.010972, 0.012089, 0.013364, 0.015017, 0.017126, - 0.01978, 0.023336, 0.027668, 0.033216, 0.040217, 0.048883, 0.059642, 0.073175, - 0.090535, 0.11147, 0.136903, 0.167811, 0.203461, 0.242871, 0.284898, 0.327178, - 0.368404, 0.408003, 0.444778, 0.476537, 0.503107, 0.525318, 0.543352, - 0.557253, 0.568634, 0.57903, 0.588684, 0.598891, 0.609981, 0.621362, 0.634283, - 0.648546, 0.663707, 0.680046, 0.696165, 0.711964, 0.727011, 0.741301, - 0.757405, 0.772071, 0.785581, 0.798238, 0.809677, 0.819702, 0.828599, - 0.836722, 0.844443, 0.851107, 0.853252, 0.854746, 0.856174, 0.857821, - 0.859532, 0.86146, 0.863257, 0.865139, 0.867319, 0.869696, 0.874302, 0.878588, - 0.882439, 0.885929, 0.889473, 0.893226, 0.896696, 0.899897, 0.902596, - 0.904831, 0.905525, 0.905665, 0.905503, 0.905158, 0.904783, 0.904082, - 0.903347, 0.902761, 0.902377, 0.901983, 0.903424, 0.904313, 0.905315, - 0.906446, 0.908092, 0.910123, 0.91295, 0.915585, 0.918444, 0.921302, 0.924337, - 0.927219, 0.92974, 0.931922, 0.934142, 0.935906, 0.937086, 0.937641, 0.938301, - 0.937652, 0.940441, 0.942518, 0.943259, 0.943031, 0.942117, 0.940632, - 0.938428, 0.93666, 0.935256, 0.933022, 0.92688, 0.921057, 0.915483, 0.91102, - 0.908293, 0.907283, 0.908191, 0.911169, 0.916189, 0.922855, 0.920605, - 0.919482, 0.919489, 0.921276, 0.924526, 0.927733, 0.931974, 0.93677, 0.941483, - 0.946802, 0.951203, 0.954437, 0.957047, 0.959729, 0.962539, 0.964858, - 0.966042, 0.966647, 0.96631, 0.96546, 0.964841, 0.963656, 0.961698, 0.959454, - 0.957327, 0.95514, 0.953558, 0.952732, 0.952181, 0.951731, 0.952146, 0.952641, - 0.954057, 0.957078, 0.960639, 0.964222, 0.968307, 0.972691, 0.977423, - 0.982898, 0.987144, 0.990734, 0.993983, 0.996787, 0.998753, 1.0, 0.999927, - 0.999152, 0.997129, 0.993884, 0.989686, 0.983735, 0.976213, 0.967813, - 0.958343, 0.94844, 0.938203, 0.927725, 0.917039, 0.905999, 0.893868, 0.881683, - 0.868647, 0.854635, 0.84062, 0.826016, 0.809516, 0.791867, 0.772443, 0.749107, - 0.720346, 0.688185, 0.651283, 0.61005, 0.566031, 0.52097, 0.474659, 0.429259, - 0.385857, 0.342092, 0.30068, 0.263176, 0.227704, 0.195721, 0.16809, 0.14468, - 0.124831, 0.108237, 0.094401, 0.082363, 0.0715, 0.062691, 0.054985, 0.048195, - 0.042864, 0.038598, 0.034947, 0.031999, 0.029588, 0.027418, 0.025577, - 0.023959, 0.021672, 0.019148, 0.016331, 0.010989, 0.007379, 0.006511, - 0.00471, 0.002065] - wavelength: [2078, 2079, 2080, 2081, 2082, 2083, 2084, 2085, 2086, 2087, 2088, - 2089, 2090, 2091, 2092, 2093, 2094, 2095, 2096, 2097, 2098, 2099, 2100, - 2101, 2102, 2103, 2104, 2105, 2106, 2107, 2108, 2109, 2110, 2111, 2112, - 2113, 2114, 2115, 2116, 2117, 2118, 2119, 2120, 2121, 2122, 2123, 2124, - 2125, 2126, 2127, 2128, 2129, 2130, 2131, 2132, 2133, 2134, 2135, 2136, - 2137, 2138, 2139, 2140, 2141, 2142, 2143, 2144, 2145, 2146, 2147, 2148, - 2149, 2150, 2151, 2152, 2153, 2154, 2155, 2156, 2157, 2158, 2159, 2160, - 2161, 2162, 2163, 2164, 2165, 2166, 2167, 2168, 2169, 2170, 2171, 2172, - 2173, 2174, 2175, 2176, 2177, 2178, 2179, 2180, 2181, 2182, 2183, 2184, - 2185, 2186, 2187, 2188, 2189, 2190, 2191, 2192, 2193, 2194, 2195, 2196, - 2197, 2198, 2199, 2200, 2201, 2202, 2203, 2204, 2205, 2206, 2207, 2208, - 2209, 2210, 2211, 2212, 2213, 2214, 2215, 2216, 2217, 2218, 2219, 2220, - 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, - 2233, 2234, 2235, 2236, 2237, 2238, 2239, 2240, 2241, 2242, 2243, 2244, - 2245, 2246, 2247, 2248, 2249, 2250, 2251, 2252, 2253, 2254, 2255, 2256, - 2257, 2258, 2259, 2260, 2261, 2262, 2263, 2264, 2265, 2266, 2267, 2268, - 2269, 2270, 2271, 2272, 2273, 2274, 2275, 2276, 2277, 2278, 2279, 2280, - 2281, 2282, 2283, 2284, 2285, 2286, 2287, 2288, 2289, 2290, 2291, 2292, - 2293, 2294, 2295, 2296, 2297, 2298, 2299, 2300, 2301, 2302, 2303, 2304, - 2305, 2306, 2307, 2308, 2309, 2310, 2311, 2312, 2313, 2314, 2315, 2316, - 2317, 2318, 2319, 2320] - units: '1' -metadata: - format: {name: GeoTIFF} - instrument: {name: MSI} - platform: {code: SENTINEL_2A} - processing_level: Level-2 - product_type: S2MSIARD -metadata_type: gqa_eo -name: s2a_ard_granule ---- -description: Sentinel-2B MSI ARD - NBAR NBART and Pixel Quality -measurements: - - aliases: [azimuthal_exiting] - dtype: float32 - name: azimuthal_exiting - nodata: -999 - units: '1' - - aliases: [azimuthal_incident] - dtype: float32 - name: azimuthal_incident - nodata: -999 - units: '1' - - aliases: [exiting] - dtype: float32 - name: exiting - nodata: -999 - units: '1' - - aliases: [incident] - dtype: float32 - name: incident - nodata: -999 - units: '1' - - aliases: [relative_azimuth] - dtype: float32 - name: relative_azimuth - nodata: -999 - units: '1' - - aliases: [relative_slope] - dtype: float32 - name: relative_slope - nodata: -999 - units: '1' - - aliases: [satellite_azimuth] - dtype: float32 - name: satellite_azimuth - nodata: -999 - units: '1' - - aliases: [satellite_view] - dtype: float32 - name: satellite_view - nodata: -999 - units: '1' - - aliases: [solar_azimuth] - dtype: float32 - name: solar_azimuth - nodata: -999 - units: '1' - - aliases: [solar_zenith] - dtype: float32 - name: solar_zenith - nodata: -999 - units: '1' - - aliases: [terrain_shadow] - dtype: uint8 - name: terrain_shadow - nodata: 0 - units: '1' - - aliases: [mask, Fmask] - dtype: uint8 - flags_definition: - fmask: - bits: [0, 1, 2, 3, 4, 5, 6, 7] - description: Fmask - values: {'0': nodata, '1': valid, '2': cloud, '3': shadow, '4': snow, - '5': water} - name: fmask - nodata: 0 - units: '1' - - dtype: uint8 - flags_definition: - contiguity: - bits: [0, 1, 2, 3, 4, 5, 6, 7] - description: Pixel contiguity in band stack - values: {'0': not_contiguous, '1': contiguous} - name: nbar_contiguity - nodata: 255 - units: '1' - - aliases: [nbar_band_01, nbar_B01, nbar_Band1] - dtype: int16 - name: nbar_coastal_aerosol - nodata: -999 - spectral_definition: - response: [0.006797798, 0.01099643, 0.004208363, 0.006568034, 0.005883123, - 0.00713011, 0.004333651, 0.006263537, 0.004393687, 0.00253157, 0.000621707, - 0.002117729, 0.003175796, 0.005213085, 0.003387375, 0.00258671, 0.002384167, - 0.004595227, 0.012990945, 0.050622293, 0.18872241, 0.459106539, 0.730160597, - 0.847259495, 0.871235903, 0.881448354, 0.899392736, 0.918669431, 0.933420754, - 0.94596319, 0.95041031, 0.953972339, 0.96903168, 0.999546173, 1, 0.976368067, - 0.96404957, 0.95417544, 0.923744832, 0.88548879, 0.809016274, 0.601561144, - 0.306766029, 0.108527711, 0.030542088, 0.008935131] - wavelength: [411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, - 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, - 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, - 452, 453, 454, 455, 456] - units: '1' - - aliases: [nbar_band_02, nbar_B02, nbar_Band2] - dtype: int16 - name: nbar_blue - nodata: -999 - spectral_definition: - response: [0.001893306, 0.019440751, 0.020059028, 0.014109631, 0.015612858, - 0.015448868, 0.017034152, 0.013311359, 0.014462036, 0.009592091, 0.014500694, - 0.011159264, 0.013332524, 0.01355731, 0.01426, 0.014717634, 0.015989541, - 0.030654247, 0.055432753, 0.120228972, 0.252260953, 0.462862499, 0.65241169, - 0.77750832, 0.824333103, 0.832077099, 0.835037767, 0.838761115, 0.864126031, - 0.883293587, 0.90569382, 0.921186621, 0.936616967, 0.931024626, 0.927547539, - 0.916622744, 0.9060165, 0.897870416, 0.903146598, 0.908994286, 0.920859439, - 0.924523699, 0.918843658, 0.907981319, 0.898032665, 0.88735796, 0.873065866, - 0.857761622, 0.846132814, 0.843382711, 0.857924772, 0.879320632, 0.903975503, - 0.919580552, 0.946712663, 0.969406608, 0.993636046, 0.999320649, 1, 0.995107621, - 0.984163047, 0.979509527, 0.978185449, 0.972278886, 0.96293492, 0.95355824, - 0.938134944, 0.924777929, 0.909590075, 0.902313691, 0.892251397, 0.890060534, - 0.891851681, 0.899164865, 0.910901434, 0.924636296, 0.938626228, 0.953526854, - 0.971831245, 0.987690608, 0.996791216, 0.993851876, 0.9816383, 0.958970396, - 0.893259218, 0.736063596, 0.52101528, 0.332578748, 0.195080476, 0.117429222, - 0.075138809, 0.050991983, 0.032154822, 0.015134166, 0.004477169] - wavelength: [438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, - 451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, - 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, - 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, - 493, 494, 495, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, - 507, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, - 521, 522, 523, 524, 525, 526, 527, 528, 529, 530, 531, 532] - units: '1' - - aliases: [nbar_band_03, nbar_B03, nbar_Band3] - dtype: int16 - name: nbar_green - nodata: -999 - spectral_definition: - response: [0.005090312, 0.026897029, 0.12087986, 0.33742273, 0.603624689, - 0.810967523, 0.91573833, 0.92605288, 0.92083242, 0.911237119, 0.902005739, - 0.897081513, 0.899066029, 0.900672338, 0.902488081, 0.906886173, 0.915610562, - 0.927756371, 0.941055569, 0.954196504, 0.966908428, 0.981390028, 0.991619278, - 1, 0.999754078, 0.994046577, 0.981792818, 0.968692612, 0.957607907, 0.945644641, - 0.92580977, 0.897152993, 0.838534201, 0.698446797, 0.493502787, 0.276900547, - 0.107781358, 0.029913795, 0.007336673, 0.000838123] - wavelength: [536, 537, 538, 539, 540, 541, 542, 543, 544, 545, 546, 547, 548, - 549, 550, 551, 552, 553, 554, 555, 556, 557, 558, 559, 560, 561, 562, - 563, 564, 565, 566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, - 577, 578, 579, 580, 581, 582] - units: '1' - - aliases: [nbar_band_04, nbar_B04, nbar_Band4] - dtype: int16 - name: nbar_red - nodata: -999 - spectral_definition: - response: [0.002584, 0.034529, 0.14997, 0.464826, 0.817746, 0.965324, 0.983869, - 0.9969, 1.0, 0.995449, 0.991334, 0.977215, 0.936802, 0.873776, 0.814166, - 0.776669, 0.764864, 0.775091, 0.801359, 0.830828, 0.857112, 0.883581, - 0.90895, 0.934759, 0.955931, 0.96811, 0.973219, 0.971572, 0.969003, 0.965712, - 0.960481, 0.944811, 0.884152, 0.706167, 0.422967, 0.189853, 0.063172, - 0.020615, 0.002034] - wavelength: [646, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, - 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, - 673, 674, 675, 676, 677, 678, 679, 680, 681, 682, 683, 684, 685] - units: '1' - - aliases: [nbar_band_05, nbar_B05, nbar_Band5] - dtype: int16 - name: nbar_red_edge_1 - nodata: -999 - spectral_definition: - response: [0.010471827, 0.057252544, 0.214724996, 0.547189415, 0.871043978, - 0.968446586, 0.99124182, 1, 0.99509331, 0.987602081, 0.979408704, 0.970910946, - 0.959528083, 0.94236861, 0.926720132, 0.894557475, 0.767248071, 0.504134435, - 0.180610636, 0.034019737, 0.002436944] - wavelength: [694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 706, - 707, 708, 709, 710, 711, 712, 713, 714] - units: '1' - - aliases: [nbar_band_06, nbar_B06, nbar_Band6] - dtype: int16 - name: nbar_red_edge_2 - nodata: -999 - spectral_definition: - response: [0.017433807, 0.105812957, 0.386050533, 0.782313159, 0.905953099, - 0.916416606, 0.92333441, 0.932013378, 0.947550036, 0.965839591, 0.978552758, - 0.991319723, 1, 0.999955845, 0.971267313, 0.81917496, 0.467395748, 0.094120897, - 0.009834009] - wavelength: [730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, - 743, 744, 745, 746, 747, 748] - units: '1' - - aliases: [nbar_band_07, nbar_B07, nbar_Band7] - dtype: int16 - name: nbar_red_edge_3 - nodata: -999 - spectral_definition: - response: [0.010282026, 0.037427714, 0.112026989, 0.257953812, 0.478980823, - 0.730216783, 0.912510408, 0.971721033, 0.964616097, 0.955734525, 0.964925586, - 0.986223289, 1, 0.998046627, 0.98393444, 0.96569621, 0.947277433, 0.927083998, - 0.90976539, 0.886948914, 0.859517187, 0.827959173, 0.776383783, 0.671173028, - 0.481809979, 0.236251944, 0.069538392, 0.013431956, 0.001257675] - wavelength: [766, 767, 768, 769, 770, 771, 772, 773, 774, 775, 776, 777, 778, - 779, 780, 781, 782, 783, 784, 785, 786, 787, 788, 789, 790, 791, 792, - 793, 794] - units: '1' - - aliases: [nbar_band_08, nbar_B08, nbar_Band8] - dtype: int16 - name: nbar_nir_1 - nodata: -999 - spectral_definition: - response: [0.000386696, 0.003018401, 0.01669158, 0.028340486, 0.0502885, 0.08626388, - 0.149596686, 0.258428566, 0.425108406, 0.631697563, 0.803109115, 0.904984654, - 0.939674653, 0.944958731, 0.948238826, 0.963880684, 0.979861632, 0.991635585, - 0.996362309, 1, 0.998257939, 0.998488834, 0.989253171, 0.98294089, 0.968189827, - 0.958222106, 0.951650369, 0.947054991, 0.944166995, 0.948383123, 0.946461415, - 0.942132884, 0.929937199, 0.914683918, 0.893248878, 0.873037871, 0.852648452, - 0.836447483, 0.824300756, 0.814333379, 0.810955964, 0.803715941, 0.791980175, - 0.783270185, 0.767838865, 0.754167357, 0.742309406, 0.727235815, 0.719323269, - 0.713866399, 0.718941021, 0.726527917, 0.738324031, 0.750210769, 0.761800392, - 0.769900245, 0.781725199, 0.78381047, 0.783069959, 0.782718588, 0.781644143, - 0.780380397, 0.781443024, 0.781701218, 0.78177353, 0.780064535, 0.777591823, - 0.770831803, 0.764574958, 0.753876586, 0.743324604, 0.733775698, 0.722497914, - 0.712900724, 0.699439134, 0.688575227, 0.674039061, 0.657552716, 0.643729834, - 0.62865391, 0.614005803, 0.603233252, 0.594982815, 0.588091928, 0.585186507, - 0.582889219, 0.581493721, 0.580137218, 0.574804624, 0.576654614, 0.572399696, - 0.570992768, 0.569291451, 0.571025201, 0.570861066, 0.572213154, 0.575418141, - 0.577804028, 0.579603586, 0.579294979, 0.578302049, 0.57565598, 0.569721665, - 0.561891364, 0.556830745, 0.549385012, 0.545858439, 0.542536249, 0.541895109, - 0.539852497, 0.537997281, 0.53195493, 0.522275927, 0.505572421, 0.48804203, - 0.469610434, 0.456107021, 0.445848869, 0.443119818, 0.445581498, 0.447532506, - 0.440183411, 0.418240241, 0.369455837, 0.301788007, 0.235014942, 0.174244972, - 0.122382945, 0.083462794, 0.056162189, 0.038006008, 0.024240249, 0.014845963, - 0.006132899] - wavelength: [774, 775, 776, 777, 778, 779, 780, 781, 782, 783, 784, 785, 786, - 787, 788, 789, 790, 791, 792, 793, 794, 795, 796, 797, 798, 799, 800, - 801, 802, 803, 804, 805, 806, 807, 808, 809, 810, 811, 812, 813, 814, - 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, 828, - 829, 830, 831, 832, 833, 834, 835, 836, 837, 838, 839, 840, 841, 842, - 843, 844, 845, 846, 847, 848, 849, 850, 851, 852, 853, 854, 855, 856, - 857, 858, 859, 860, 861, 862, 863, 864, 865, 866, 867, 868, 869, 870, - 871, 872, 873, 874, 875, 876, 877, 878, 879, 880, 881, 882, 883, 884, - 885, 886, 887, 888, 889, 890, 891, 892, 893, 894, 895, 896, 897, 898, - 899, 900, 901, 902, 903, 904, 905, 906, 907] - units: '1' - - aliases: [nbar_band_8A, nbar_B8A, nbar_Band8A] - dtype: int16 - name: nbar_nir_2 - nodata: -999 - spectral_definition: - response: [0.001661751, 0.01602581, 0.032253895, 0.073411273, 0.168937582, - 0.345506138, 0.569417239, 0.79634996, 0.937581155, 0.980942645, 0.987241334, - 0.994409463, 0.998963959, 0.999788107, 1, 0.994482469, 0.987807181, 0.983157165, - 0.979826684, 0.975089851, 0.972818786, 0.966320275, 0.958195153, 0.941870745, - 0.894185366, 0.778588669, 0.597362542, 0.377361257, 0.184667876, 0.079045495, - 0.033393337, 0.015808546, 0.00162404] - wavelength: [848, 849, 850, 851, 852, 853, 854, 855, 856, 857, 858, 859, 860, - 861, 862, 863, 864, 865, 866, 867, 868, 869, 870, 871, 872, 873, 874, - 875, 876, 877, 878, 879, 880] - units: '1' - - aliases: [nbar_band_11, nbar_B11, nbar_Band11] - dtype: int16 - name: nbar_swir_2 - nodata: -999 - spectral_definition: - response: [1.15e-05, 2.6996e-05, 8.1157e-05, 0.000169507, 0.000273428, 0.000343776, - 0.000459515, 0.000651677, 0.0008223, 0.001076746, 0.001428776, 0.001958681, - 0.002660821, 0.003682001, 0.005217308, 0.007572684, 0.011246256, 0.01713141, - 0.026703068, 0.041388968, 0.062904714, 0.094492263, 0.139743066, 0.200760503, - 0.281513117, 0.380879812, 0.490209915, 0.606204368, 0.714558374, 0.80351452, - 0.86986655, 0.916284448, 0.946609049, 0.963892644, 0.973065345, 0.977057349, - 0.977796293, 0.976890332, 0.975338048, 0.973392995, 0.971480798, 0.969740168, - 0.969095034, 0.96969742, 0.970522078, 0.972736269, 0.976138953, 0.978944681, - 0.981010782, 0.983513536, 0.984837133, 0.984404132, 0.983920166, 0.983372624, - 0.981458796, 0.979391949, 0.978058392, 0.976263051, 0.975392679, 0.9757089, - 0.976805245, 0.978986183, 0.981998545, 0.98520893, 0.988659162, 0.992331977, - 0.994804634, 0.99589809, 0.995903119, 0.994773417, 0.992101664, 0.988591774, - 0.984908418, 0.981101728, 0.976805235, 0.97354566, 0.971948013, 0.97053597, - 0.970436371, 0.972382602, 0.975244492, 0.978552743, 0.982971465, 0.98808508, - 0.992662671, 0.996435703, 0.99906056, 1, 0.999036445, 0.996642174, 0.993293536, - 0.989674029, 0.98579838, 0.982153372, 0.979817194, 0.979473331, 0.980262857, - 0.982464858, 0.986000509, 0.989562258, 0.991723341, 0.992201372, 0.98939229, - 0.982102331, 0.970157085, 0.953186779, 0.932369062, 0.908001591, 0.884086561, - 0.864271526, 0.850889881, 0.844206087, 0.843448232, 0.847024828, 0.848701823, - 0.840540222, 0.81352592, 0.756843245, 0.670393147, 0.565754809, 0.457566037, - 0.353763564, 0.256912748, 0.176281, 0.115842988, 0.073512768, 0.046527708, - 0.02905985, 0.018579999, 0.012463091, 0.00878944, 0.006316358, 0.004582867, - 0.003359394, 0.002462997, 0.001990739, 0.001501488, 0.001123371, 0.00078272, - 0.000541322, 0.000281204, 0.00013347] - wavelength: [1538, 1539, 1540, 1541, 1542, 1543, 1544, 1545, 1546, 1547, 1548, - 1549, 1550, 1551, 1552, 1553, 1554, 1555, 1556, 1557, 1558, 1559, 1560, - 1561, 1562, 1563, 1564, 1565, 1566, 1567, 1568, 1569, 1570, 1571, 1572, - 1573, 1574, 1575, 1576, 1577, 1578, 1579, 1580, 1581, 1582, 1583, 1584, - 1585, 1586, 1587, 1588, 1589, 1590, 1591, 1592, 1593, 1594, 1595, 1596, - 1597, 1598, 1599, 1600, 1601, 1602, 1603, 1604, 1605, 1606, 1607, 1608, - 1609, 1610, 1611, 1612, 1613, 1614, 1615, 1616, 1617, 1618, 1619, 1620, - 1621, 1622, 1623, 1624, 1625, 1626, 1627, 1628, 1629, 1630, 1631, 1632, - 1633, 1634, 1635, 1636, 1637, 1638, 1639, 1640, 1641, 1642, 1643, 1644, - 1645, 1646, 1647, 1648, 1649, 1650, 1651, 1652, 1653, 1654, 1655, 1656, - 1657, 1658, 1659, 1660, 1661, 1662, 1663, 1664, 1665, 1666, 1667, 1668, - 1669, 1670, 1671, 1672, 1673, 1674, 1675, 1676, 1677, 1678, 1679] - units: '1' - - aliases: [nbar_band_12, nbar_B12, nbar_Band12] - dtype: int16 - name: nbar_swir_3 - nodata: -999 - spectral_definition: - response: [0.000227567, 0.000739283, 0.001656775, 0.003019587, 0.004589377, - 0.005924935, 0.007534774, 0.008748008, 0.010265481, 0.012236179, 0.014593479, - 0.017458937, 0.021063245, 0.025428056, 0.03060944, 0.037234457, 0.045771325, - 0.056362502, 0.070016996, 0.088004988, 0.110694417, 0.138884174, 0.173287791, - 0.214374591, 0.261990789, 0.317227795, 0.380865706, 0.449470316, 0.522785467, - 0.598898522, 0.672128213, 0.737899139, 0.792930708, 0.835658783, 0.866335142, - 0.886329697, 0.897588245, 0.901517855, 0.900790721, 0.897113531, 0.892352598, - 0.88796428, 0.884432193, 0.882095059, 0.881695748, 0.88269782, 0.887154405, - 0.892732955, 0.898903582, 0.905619271, 0.912841006, 0.920179789, 0.926912882, - 0.933094888, 0.938438355, 0.943377038, 0.945579227, 0.947407512, 0.948568289, - 0.94882972, 0.948111791, 0.947115734, 0.946126982, 0.944870644, 0.943485039, - 0.941894052, 0.942445527, 0.943274219, 0.944243794, 0.94528606, 0.946212496, - 0.947084905, 0.947941677, 0.948940117, 0.949880321, 0.950676414, 0.951054332, - 0.951531833, 0.952326952, 0.952721089, 0.952552047, 0.952417855, 0.952654092, - 0.95296197, 0.95331832, 0.953779111, 0.954291677, 0.954837035, 0.955539257, - 0.956750259, 0.957986198, 0.959237259, 0.960451396, 0.96141302, 0.96264388, - 0.964122014, 0.963609737, 0.963104517, 0.962753979, 0.961850624, 0.960730243, - 0.959560745, 0.958377188, 0.956972347, 0.955119849, 0.953076144, 0.95406055, - 0.955176712, 0.955719159, 0.955674616, 0.955356546, 0.954611539, 0.953453566, - 0.952124922, 0.950597985, 0.948594073, 0.948562399, 0.948548442, 0.94829598, - 0.947706109, 0.946620434, 0.94521576, 0.943480979, 0.942137936, 0.940654943, - 0.938918576, 0.941493007, 0.943778866, 0.945751584, 0.947277308, 0.948481875, - 0.949621704, 0.950767479, 0.951991493, 0.953624457, 0.955262594, 0.952413026, - 0.950488752, 0.949721652, 0.949105026, 0.949712169, 0.95167296, 0.955012323, - 0.959777857, 0.966208245, 0.973886163, 0.970920044, 0.969139883, 0.968329935, - 0.967635904, 0.967555279, 0.968040602, 0.968508397, 0.968956722, 0.969510275, - 0.969967732, 0.969097684, 0.968258197, 0.967549788, 0.96650394, 0.965459532, - 0.964366923, 0.962929804, 0.961665594, 0.96063821, 0.959368085, 0.959707097, - 0.960359643, 0.9616448, 0.962729828, 0.96370081, 0.964773629, 0.965512685, - 0.96634935, 0.96753842, 0.96886815, 0.970549249, 0.972426171, 0.974301395, - 0.976012041, 0.977203216, 0.978986062, 0.980446263, 0.981524356, 0.982531672, - 0.983336508, 0.98463147, 0.986737985, 0.989144288, 0.991223348, 0.99318448, - 0.995273324, 0.996704667, 0.998282418, 0.999605161, 1, 0.998654554, 0.995753158, - 0.990605371, 0.981520886, 0.968715091, 0.951679125, 0.929343556, 0.902305299, - 0.87044084, 0.831947776, 0.786119345, 0.736343248, 0.681862245, 0.623137717, - 0.564024643, 0.506650261, 0.451376118, 0.400487569, 0.354176773, 0.309839746, - 0.269312679, 0.234102225, 0.20225298, 0.173669677, 0.149356419, 0.128957364, - 0.111530972, 0.09689948, 0.084874763, 0.074063524, 0.064469344, 0.056321561, - 0.049381236, 0.043196026, 0.037986086, 0.033468826, 0.028983375, 0.025085752, - 0.020007676, 0.013837921, 0.008464001, 0.004443102, 0.000848571] - wavelength: [2065, 2066, 2067, 2068, 2069, 2070, 2071, 2072, 2073, 2074, 2075, - 2076, 2077, 2078, 2079, 2080, 2081, 2082, 2083, 2084, 2085, 2086, 2087, - 2088, 2089, 2090, 2091, 2092, 2093, 2094, 2095, 2096, 2097, 2098, 2099, - 2100, 2101, 2102, 2103, 2104, 2105, 2106, 2107, 2108, 2109, 2110, 2111, - 2112, 2113, 2114, 2115, 2116, 2117, 2118, 2119, 2120, 2121, 2122, 2123, - 2124, 2125, 2126, 2127, 2128, 2129, 2130, 2131, 2132, 2133, 2134, 2135, - 2136, 2137, 2138, 2139, 2140, 2141, 2142, 2143, 2144, 2145, 2146, 2147, - 2148, 2149, 2150, 2151, 2152, 2153, 2154, 2155, 2156, 2157, 2158, 2159, - 2160, 2161, 2162, 2163, 2164, 2165, 2166, 2167, 2168, 2169, 2170, 2171, - 2172, 2173, 2174, 2175, 2176, 2177, 2178, 2179, 2180, 2181, 2182, 2183, - 2184, 2185, 2186, 2187, 2188, 2189, 2190, 2191, 2192, 2193, 2194, 2195, - 2196, 2197, 2198, 2199, 2200, 2201, 2202, 2203, 2204, 2205, 2206, 2207, - 2208, 2209, 2210, 2211, 2212, 2213, 2214, 2215, 2216, 2217, 2218, 2219, - 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, - 2232, 2233, 2234, 2235, 2236, 2237, 2238, 2239, 2240, 2241, 2242, 2243, - 2244, 2245, 2246, 2247, 2248, 2249, 2250, 2251, 2252, 2253, 2254, 2255, - 2256, 2257, 2258, 2259, 2260, 2261, 2262, 2263, 2264, 2265, 2266, 2267, - 2268, 2269, 2270, 2271, 2272, 2273, 2274, 2275, 2276, 2277, 2278, 2279, - 2280, 2281, 2282, 2283, 2284, 2285, 2286, 2287, 2288, 2289, 2290, 2291, - 2292, 2293, 2294, 2295, 2296, 2297, 2298, 2299, 2300, 2301, 2302, 2303] - units: '1' - - dtype: uint8 - flags_definition: - contiguity: - bits: [0, 1, 2, 3, 4, 5, 6, 7] - description: Pixel contiguity in band stack - values: {'0': not_contiguous, '1': contiguous} - name: nbart_contiguity - nodata: 255 - units: '1' - - aliases: [nbart_band_01, nbart_B01, nbart_Band1] - dtype: int16 - name: nbart_coastal_aerosol - nodata: -999 - spectral_definition: - response: [0.006797798, 0.01099643, 0.004208363, 0.006568034, 0.005883123, - 0.00713011, 0.004333651, 0.006263537, 0.004393687, 0.00253157, 0.000621707, - 0.002117729, 0.003175796, 0.005213085, 0.003387375, 0.00258671, 0.002384167, - 0.004595227, 0.012990945, 0.050622293, 0.18872241, 0.459106539, 0.730160597, - 0.847259495, 0.871235903, 0.881448354, 0.899392736, 0.918669431, 0.933420754, - 0.94596319, 0.95041031, 0.953972339, 0.96903168, 0.999546173, 1, 0.976368067, - 0.96404957, 0.95417544, 0.923744832, 0.88548879, 0.809016274, 0.601561144, - 0.306766029, 0.108527711, 0.030542088, 0.008935131] - wavelength: [411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, - 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, - 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, - 452, 453, 454, 455, 456] - units: '1' - - aliases: [nbart_band_02, nbart_B02, nbart_Band2] - dtype: int16 - name: nbart_blue - nodata: -999 - spectral_definition: - response: [0.001893306, 0.019440751, 0.020059028, 0.014109631, 0.015612858, - 0.015448868, 0.017034152, 0.013311359, 0.014462036, 0.009592091, 0.014500694, - 0.011159264, 0.013332524, 0.01355731, 0.01426, 0.014717634, 0.015989541, - 0.030654247, 0.055432753, 0.120228972, 0.252260953, 0.462862499, 0.65241169, - 0.77750832, 0.824333103, 0.832077099, 0.835037767, 0.838761115, 0.864126031, - 0.883293587, 0.90569382, 0.921186621, 0.936616967, 0.931024626, 0.927547539, - 0.916622744, 0.9060165, 0.897870416, 0.903146598, 0.908994286, 0.920859439, - 0.924523699, 0.918843658, 0.907981319, 0.898032665, 0.88735796, 0.873065866, - 0.857761622, 0.846132814, 0.843382711, 0.857924772, 0.879320632, 0.903975503, - 0.919580552, 0.946712663, 0.969406608, 0.993636046, 0.999320649, 1, 0.995107621, - 0.984163047, 0.979509527, 0.978185449, 0.972278886, 0.96293492, 0.95355824, - 0.938134944, 0.924777929, 0.909590075, 0.902313691, 0.892251397, 0.890060534, - 0.891851681, 0.899164865, 0.910901434, 0.924636296, 0.938626228, 0.953526854, - 0.971831245, 0.987690608, 0.996791216, 0.993851876, 0.9816383, 0.958970396, - 0.893259218, 0.736063596, 0.52101528, 0.332578748, 0.195080476, 0.117429222, - 0.075138809, 0.050991983, 0.032154822, 0.015134166, 0.004477169] - wavelength: [438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, - 451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, - 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, - 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, - 493, 494, 495, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, - 507, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, - 521, 522, 523, 524, 525, 526, 527, 528, 529, 530, 531, 532] - units: '1' - - aliases: [nbart_band_03, nbart_B03, nbart_Band3] - dtype: int16 - name: nbart_green - nodata: -999 - spectral_definition: - response: [0.005090312, 0.026897029, 0.12087986, 0.33742273, 0.603624689, - 0.810967523, 0.91573833, 0.92605288, 0.92083242, 0.911237119, 0.902005739, - 0.897081513, 0.899066029, 0.900672338, 0.902488081, 0.906886173, 0.915610562, - 0.927756371, 0.941055569, 0.954196504, 0.966908428, 0.981390028, 0.991619278, - 1, 0.999754078, 0.994046577, 0.981792818, 0.968692612, 0.957607907, 0.945644641, - 0.92580977, 0.897152993, 0.838534201, 0.698446797, 0.493502787, 0.276900547, - 0.107781358, 0.029913795, 0.007336673, 0.000838123] - wavelength: [536, 537, 538, 539, 540, 541, 542, 543, 544, 545, 546, 547, 548, - 549, 550, 551, 552, 553, 554, 555, 556, 557, 558, 559, 560, 561, 562, - 563, 564, 565, 566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, - 577, 578, 579, 580, 581, 582] - units: '1' - - aliases: [nbart_band_04, nbart_B04, nbart_Band4] - dtype: int16 - name: nbart_red - nodata: -999 - spectral_definition: - response: [0.002584, 0.034529, 0.14997, 0.464826, 0.817746, 0.965324, 0.983869, - 0.9969, 1.0, 0.995449, 0.991334, 0.977215, 0.936802, 0.873776, 0.814166, - 0.776669, 0.764864, 0.775091, 0.801359, 0.830828, 0.857112, 0.883581, - 0.90895, 0.934759, 0.955931, 0.96811, 0.973219, 0.971572, 0.969003, 0.965712, - 0.960481, 0.944811, 0.884152, 0.706167, 0.422967, 0.189853, 0.063172, - 0.020615, 0.002034] - wavelength: [646, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, - 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, - 673, 674, 675, 676, 677, 678, 679, 680, 681, 682, 683, 684, 685] - units: '1' - - aliases: [nbart_band_05, nbart_B05, nbart_Band5] - dtype: int16 - name: nbart_red_edge_1 - nodata: -999 - spectral_definition: - response: [0.010471827, 0.057252544, 0.214724996, 0.547189415, 0.871043978, - 0.968446586, 0.99124182, 1, 0.99509331, 0.987602081, 0.979408704, 0.970910946, - 0.959528083, 0.94236861, 0.926720132, 0.894557475, 0.767248071, 0.504134435, - 0.180610636, 0.034019737, 0.002436944] - wavelength: [694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 706, - 707, 708, 709, 710, 711, 712, 713, 714] - units: '1' - - aliases: [nbart_band_06, nbart_B06, nbart_Band6] - dtype: int16 - name: nbart_red_edge_2 - nodata: -999 - spectral_definition: - response: [0.017433807, 0.105812957, 0.386050533, 0.782313159, 0.905953099, - 0.916416606, 0.92333441, 0.932013378, 0.947550036, 0.965839591, 0.978552758, - 0.991319723, 1, 0.999955845, 0.971267313, 0.81917496, 0.467395748, 0.094120897, - 0.009834009] - wavelength: [730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, - 743, 744, 745, 746, 747, 748] - units: '1' - - aliases: [nbart_band_07, nbart_B07, nbart_Band7] - dtype: int16 - name: nbart_red_edge_3 - nodata: -999 - spectral_definition: - response: [0.010282026, 0.037427714, 0.112026989, 0.257953812, 0.478980823, - 0.730216783, 0.912510408, 0.971721033, 0.964616097, 0.955734525, 0.964925586, - 0.986223289, 1, 0.998046627, 0.98393444, 0.96569621, 0.947277433, 0.927083998, - 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units: '1' - - aliases: [band_05, B05, Band5] - dtype: uint16 - name: B05 - nodata: 0 - spectral_definition: - response: [0.001187, 0.04126, 0.167712, 0.478496, 0.833878, 0.985479, 1.0, - 0.999265, 0.993239, 0.982416, 0.965583, 0.945953, 0.924699, 0.902399, - 0.885582, 0.861231, 0.757197, 0.521268, 0.196706, 0.036825] - wavelength: [694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 706, - 707, 708, 709, 710, 711, 712, 713] - units: '1' - - aliases: [band_06, B06, Band6] - dtype: uint16 - name: B06 - nodata: 0 - spectral_definition: - response: [0.005331, 0.085006, 0.345714, 0.750598, 0.920265, 0.917917, 0.934211, - 0.957861, 0.975829, 0.981932, 0.981518, 0.993406, 1.0, 0.982579, 0.962584, - 0.854908, 0.506722, 0.135357, 0.013438] - wavelength: [731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, - 744, 745, 746, 747, 748, 749] - units: '1' - - aliases: [band_07, B07, Band7] - dtype: uint16 - name: B07 - nodata: 0 - spectral_definition: - response: [0.001595, 0.014731, 0.067032, 0.199495, 0.422803, 0.694015, 0.898494, - 0.983173, 0.994759, 1.0, 0.994913, 0.964657, 0.908117, 0.846898, 0.802091, - 0.778839, 0.777241, 0.789523, 0.800984, 0.802916, 0.791711, 0.757695, - 0.677951, 0.536855, 0.364033, 0.193498, 0.077219, 0.019707, 0.003152] - wavelength: [769, 770, 771, 772, 773, 774, 775, 776, 777, 778, 779, 780, 781, - 782, 783, 784, 785, 786, 787, 788, 789, 790, 791, 792, 793, 794, 795, - 796, 797] - units: '1' - - aliases: [band_08, B08, Band8] - dtype: uint16 - name: B08 - nodata: 0 - spectral_definition: - response: [0.000451, 0.007614, 0.019072, 0.033498, 0.056536, 0.087148, 0.13246, - 0.203436, 0.314068, 0.450085, 0.587433, 0.714518, 0.81829, 0.902932, 0.960732, - 0.993723, 1.0, 0.985213, 0.958376, 0.93655, 0.925816, 0.930376, 0.941281, - 0.953344, 0.962183, 0.965631, 0.963105, 0.959009, 0.951205, 0.945147, - 0.943136, 0.945814, 0.945357, 0.943762, 0.937084, 0.92789, 0.915897, 0.900979, - 0.881577, 0.86216, 0.8432, 0.822684, 0.801819, 0.776911, 0.755632, 0.737893, - 0.722217, 0.708669, 0.698416, 0.690211, 0.682257, 0.681494, 0.682649, - 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861, 862, 863, 864, 865, 866, 867, 868, 869, 870, 871, 872, 873, 874, - 875, 876, 877, 878, 879, 880, 881] - units: '1' - - aliases: [band_09, B09, Band9] - dtype: uint16 - name: B09 - nodata: 0 - spectral_definition: - response: [0.018022, 0.065698, 0.184737, 0.408108, 0.679541, 0.873658, 0.929939, - 0.963266, 0.983566, 0.99069, 0.996767, 0.977237, 0.979057, 0.998123, 0.989646, - 1.0, 0.987516, 0.985535, 0.956408, 0.965775, 0.931094, 0.863762, 0.704633, - 0.450443, 0.201668, 0.059807, 0.013928] - wavelength: [932, 933, 934, 935, 936, 937, 938, 939, 940, 941, 942, 943, 944, - 945, 946, 947, 948, 949, 950, 951, 952, 953, 954, 955, 956, 957, 958] - units: '1' - - aliases: [band_10, B10, Band10] - dtype: uint16 - name: B10 - nodata: 0 - spectral_definition: - response: [0.000238, 5.4e-05, 3.1e-05, 2.9e-05, 7.6e-05, 0.00011, 8.8e-05, - 0.000124, 0.000176, 0.000334, 0.000372, 0.000449, 0.000658, 0.001089, - 0.001968, 0.003736, 0.008017, 0.018845, 0.044656, 0.101545, 0.200855, - 0.342389, 0.506472, 0.662498, 0.783168, 0.86121, 0.91, 0.942126, 0.962015, - 0.97375, 0.981721, 0.987945, 0.992811, 0.996479, 0.999049, 1.0, 0.999092, - 0.99605, 0.990956, 0.984854, 0.978085, 0.970373, 0.96089, 0.948599, 0.933275, - 0.915014, 0.894075, 0.868635, 0.830745, 0.764525, 0.655301, 0.507854, - 0.351455, 0.219308, 0.127481, 0.068372, 0.03262, 0.013688, 0.0055, 0.0024, - 0.001125, 0.000545, 0.00035, 0.000177, 0.000219, 0.000197, 0.000106, 6.0e-05, - 5.1e-05, 6.2e-05, 5.6e-05, 3.9e-05, 3.2e-05, 0.000121, 0.000109, 2.5e-05] - wavelength: [1337, 1338, 1339, 1340, 1341, 1342, 1343, 1344, 1345, 1346, 1347, - 1348, 1349, 1350, 1351, 1352, 1353, 1354, 1355, 1356, 1357, 1358, 1359, - 1360, 1361, 1362, 1363, 1364, 1365, 1366, 1367, 1368, 1369, 1370, 1371, - 1372, 1373, 1374, 1375, 1376, 1377, 1378, 1379, 1380, 1381, 1382, 1383, - 1384, 1385, 1386, 1387, 1388, 1389, 1390, 1391, 1392, 1393, 1394, 1395, - 1396, 1397, 1398, 1399, 1400, 1401, 1402, 1403, 1404, 1405, 1406, 1407, - 1408, 1409, 1410, 1411, 1412] - units: '1' - - aliases: [band_11, B11, Band11] - dtype: uint16 - name: B11 - nodata: 0 - spectral_definition: - response: [7.0e-06, 7.0e-06, 8.0e-06, 2.8e-05, 3.8e-05, 9.1e-05, 0.000147, - 0.000251, 0.00048, 0.00057, 0.000662, 0.000911, 0.001166, 0.001684, 0.002458, - 0.003567, 0.005345, 0.008318, 0.012628, 0.018996, 0.027781, 0.039584, - 0.054865, 0.07493, 0.10107, 0.135476, 0.182597, 0.247276, 0.330736, 0.429691, - 0.537634, 0.647173, 0.743528, 0.815215, 0.859202, 0.879669, 0.88703, 0.889098, - 0.891417, 0.897586, 0.906631, 0.916528, 0.926579, 0.935322, 0.942394, - 0.947507, 0.951416, 0.954254, 0.956429, 0.958205, 0.960688, 0.96348, 0.965797, - 0.96818, 0.971012, 0.97338, 0.975915, 0.978581, 0.979878, 0.980589, 0.980912, - 0.981412, 0.981244, 0.980705, 0.980377, 0.981066, 0.982736, 0.985122, - 0.987807, 0.990376, 0.992016, 0.993288, 0.992536, 0.990405, 0.987128, - 0.983502, 0.980023, 0.976174, 0.972568, 0.969828, 0.967709, 0.966371, - 0.965849, 0.96605, 0.967427, 0.96987, 0.973463, 0.978683, 0.983472, 0.987635, - 0.991875, 0.995476, 0.997586, 0.998568, 0.999328, 0.999234, 0.998804, - 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744, 745, 746, 747, 748, 749] - units: '1' - - aliases: [band_07, B07, Band7] - dtype: uint16 - name: B07 - nodata: 0 - spectral_definition: - response: [0.001595, 0.014731, 0.067032, 0.199495, 0.422803, 0.694015, 0.898494, - 0.983173, 0.994759, 1.0, 0.994913, 0.964657, 0.908117, 0.846898, 0.802091, - 0.778839, 0.777241, 0.789523, 0.800984, 0.802916, 0.791711, 0.757695, - 0.677951, 0.536855, 0.364033, 0.193498, 0.077219, 0.019707, 0.003152] - wavelength: [769, 770, 771, 772, 773, 774, 775, 776, 777, 778, 779, 780, 781, - 782, 783, 784, 785, 786, 787, 788, 789, 790, 791, 792, 793, 794, 795, - 796, 797] - units: '1' - - aliases: [band_08, B08, Band8] - dtype: uint16 - name: B08 - nodata: 0 - spectral_definition: - response: [0.000451, 0.007614, 0.019072, 0.033498, 0.056536, 0.087148, 0.13246, - 0.203436, 0.314068, 0.450085, 0.587433, 0.714518, 0.81829, 0.902932, 0.960732, - 0.993723, 1.0, 0.985213, 0.958376, 0.93655, 0.925816, 0.930376, 0.941281, - 0.953344, 0.962183, 0.965631, 0.963105, 0.959009, 0.951205, 0.945147, - 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nodata: 0 - spectral_definition: - response: [0.000238, 5.4e-05, 3.1e-05, 2.9e-05, 7.6e-05, 0.00011, 8.8e-05, - 0.000124, 0.000176, 0.000334, 0.000372, 0.000449, 0.000658, 0.001089, - 0.001968, 0.003736, 0.008017, 0.018845, 0.044656, 0.101545, 0.200855, - 0.342389, 0.506472, 0.662498, 0.783168, 0.86121, 0.91, 0.942126, 0.962015, - 0.97375, 0.981721, 0.987945, 0.992811, 0.996479, 0.999049, 1.0, 0.999092, - 0.99605, 0.990956, 0.984854, 0.978085, 0.970373, 0.96089, 0.948599, 0.933275, - 0.915014, 0.894075, 0.868635, 0.830745, 0.764525, 0.655301, 0.507854, - 0.351455, 0.219308, 0.127481, 0.068372, 0.03262, 0.013688, 0.0055, 0.0024, - 0.001125, 0.000545, 0.00035, 0.000177, 0.000219, 0.000197, 0.000106, 6.0e-05, - 5.1e-05, 6.2e-05, 5.6e-05, 3.9e-05, 3.2e-05, 0.000121, 0.000109, 2.5e-05] - wavelength: [1337, 1338, 1339, 1340, 1341, 1342, 1343, 1344, 1345, 1346, 1347, - 1348, 1349, 1350, 1351, 1352, 1353, 1354, 1355, 1356, 1357, 1358, 1359, - 1360, 1361, 1362, 1363, 1364, 1365, 1366, 1367, 1368, 1369, 1370, 1371, - 1372, 1373, 1374, 1375, 1376, 1377, 1378, 1379, 1380, 1381, 1382, 1383, - 1384, 1385, 1386, 1387, 1388, 1389, 1390, 1391, 1392, 1393, 1394, 1395, - 1396, 1397, 1398, 1399, 1400, 1401, 1402, 1403, 1404, 1405, 1406, 1407, - 1408, 1409, 1410, 1411, 1412] - units: '1' - - aliases: [band_11, B11, Band11] - dtype: uint16 - name: B11 - nodata: 0 - spectral_definition: - response: [7.0e-06, 7.0e-06, 8.0e-06, 2.8e-05, 3.8e-05, 9.1e-05, 0.000147, - 0.000251, 0.00048, 0.00057, 0.000662, 0.000911, 0.001166, 0.001684, 0.002458, - 0.003567, 0.005345, 0.008318, 0.012628, 0.018996, 0.027781, 0.039584, - 0.054865, 0.07493, 0.10107, 0.135476, 0.182597, 0.247276, 0.330736, 0.429691, - 0.537634, 0.647173, 0.743528, 0.815215, 0.859202, 0.879669, 0.88703, 0.889098, - 0.891417, 0.897586, 0.906631, 0.916528, 0.926579, 0.935322, 0.942394, - 0.947507, 0.951416, 0.954254, 0.956429, 0.958205, 0.960688, 0.96348, 0.965797, - 0.96818, 0.971012, 0.97338, 0.975915, 0.978581, 0.979878, 0.980589, 0.980912, - 0.981412, 0.981244, 0.980705, 0.980377, 0.981066, 0.982736, 0.985122, - 0.987807, 0.990376, 0.992016, 0.993288, 0.992536, 0.990405, 0.987128, - 0.983502, 0.980023, 0.976174, 0.972568, 0.969828, 0.967709, 0.966371, - 0.965849, 0.96605, 0.967427, 0.96987, 0.973463, 0.978683, 0.983472, 0.987635, - 0.991875, 0.995476, 0.997586, 0.998568, 0.999328, 0.999234, 0.998804, - 0.999111, 0.99973, 0.999745, 1.0, 0.999814, 0.996693, 0.99162, 0.985702, - 0.978569, 0.969903, 0.960896, 0.953287, 0.946546, 0.941712, 0.938586, - 0.935489, 0.928114, 0.912102, 0.880598, 0.82498, 0.743118, 0.641891, 0.534002, - 0.426963, 0.32371, 0.234284, 0.163972, 0.110211, 0.072478, 0.046194, 0.029401, - 0.019359, 0.013308, 0.009317, 0.006523, 0.004864, 0.003409, 0.002491, - 0.001958, 0.001423, 0.001055, 0.000498, 0.000228, 0.000159, 3.4e-05, 4.5e-05, - 1.3e-05] - wavelength: [1539, 1540, 1541, 1542, 1543, 1544, 1545, 1546, 1547, 1548, 1549, - 1550, 1551, 1552, 1553, 1554, 1555, 1556, 1557, 1558, 1559, 1560, 1561, - 1562, 1563, 1564, 1565, 1566, 1567, 1568, 1569, 1570, 1571, 1572, 1573, - 1574, 1575, 1576, 1577, 1578, 1579, 1580, 1581, 1582, 1583, 1584, 1585, - 1586, 1587, 1588, 1589, 1590, 1591, 1592, 1593, 1594, 1595, 1596, 1597, - 1598, 1599, 1600, 1601, 1602, 1603, 1604, 1605, 1606, 1607, 1608, 1609, - 1610, 1611, 1612, 1613, 1614, 1615, 1616, 1617, 1618, 1619, 1620, 1621, - 1622, 1623, 1624, 1625, 1626, 1627, 1628, 1629, 1630, 1631, 1632, 1633, - 1634, 1635, 1636, 1637, 1638, 1639, 1640, 1641, 1642, 1643, 1644, 1645, - 1646, 1647, 1648, 1649, 1650, 1651, 1652, 1653, 1654, 1655, 1656, 1657, - 1658, 1659, 1660, 1661, 1662, 1663, 1664, 1665, 1666, 1667, 1668, 1669, - 1670, 1671, 1672, 1673, 1674, 1675, 1676, 1677, 1678, 1679, 1680, 1681, - 1682] - units: '1' - - aliases: [band_12, B12, Band12] - dtype: uint16 - name: B12 - nodata: 0 - spectral_definition: - response: [0.000639, 0.001023, 0.002885, 0.003997, 0.006597, 0.00766, 0.008004, - 0.00854, 0.0093, 0.010002, 0.010972, 0.012089, 0.013364, 0.015017, 0.017126, - 0.01978, 0.023336, 0.027668, 0.033216, 0.040217, 0.048883, 0.059642, 0.073175, - 0.090535, 0.11147, 0.136903, 0.167811, 0.203461, 0.242871, 0.284898, 0.327178, - 0.368404, 0.408003, 0.444778, 0.476537, 0.503107, 0.525318, 0.543352, - 0.557253, 0.568634, 0.57903, 0.588684, 0.598891, 0.609981, 0.621362, 0.634283, - 0.648546, 0.663707, 0.680046, 0.696165, 0.711964, 0.727011, 0.741301, - 0.757405, 0.772071, 0.785581, 0.798238, 0.809677, 0.819702, 0.828599, - 0.836722, 0.844443, 0.851107, 0.853252, 0.854746, 0.856174, 0.857821, - 0.859532, 0.86146, 0.863257, 0.865139, 0.867319, 0.869696, 0.874302, 0.878588, - 0.882439, 0.885929, 0.889473, 0.893226, 0.896696, 0.899897, 0.902596, - 0.904831, 0.905525, 0.905665, 0.905503, 0.905158, 0.904783, 0.904082, - 0.903347, 0.902761, 0.902377, 0.901983, 0.903424, 0.904313, 0.905315, - 0.906446, 0.908092, 0.910123, 0.91295, 0.915585, 0.918444, 0.921302, 0.924337, - 0.927219, 0.92974, 0.931922, 0.934142, 0.935906, 0.937086, 0.937641, 0.938301, - 0.937652, 0.940441, 0.942518, 0.943259, 0.943031, 0.942117, 0.940632, - 0.938428, 0.93666, 0.935256, 0.933022, 0.92688, 0.921057, 0.915483, 0.91102, - 0.908293, 0.907283, 0.908191, 0.911169, 0.916189, 0.922855, 0.920605, - 0.919482, 0.919489, 0.921276, 0.924526, 0.927733, 0.931974, 0.93677, 0.941483, - 0.946802, 0.951203, 0.954437, 0.957047, 0.959729, 0.962539, 0.964858, - 0.966042, 0.966647, 0.96631, 0.96546, 0.964841, 0.963656, 0.961698, 0.959454, - 0.957327, 0.95514, 0.953558, 0.952732, 0.952181, 0.951731, 0.952146, 0.952641, - 0.954057, 0.957078, 0.960639, 0.964222, 0.968307, 0.972691, 0.977423, - 0.982898, 0.987144, 0.990734, 0.993983, 0.996787, 0.998753, 1.0, 0.999927, - 0.999152, 0.997129, 0.993884, 0.989686, 0.983735, 0.976213, 0.967813, - 0.958343, 0.94844, 0.938203, 0.927725, 0.917039, 0.905999, 0.893868, 0.881683, - 0.868647, 0.854635, 0.84062, 0.826016, 0.809516, 0.791867, 0.772443, 0.749107, - 0.720346, 0.688185, 0.651283, 0.61005, 0.566031, 0.52097, 0.474659, 0.429259, - 0.385857, 0.342092, 0.30068, 0.263176, 0.227704, 0.195721, 0.16809, 0.14468, - 0.124831, 0.108237, 0.094401, 0.082363, 0.0715, 0.062691, 0.054985, 0.048195, - 0.042864, 0.038598, 0.034947, 0.031999, 0.029588, 0.027418, 0.025577, - 0.023959, 0.021672, 0.019148, 0.016331, 0.010989, 0.007379, 0.006511, - 0.00471, 0.002065] - wavelength: [2078, 2079, 2080, 2081, 2082, 2083, 2084, 2085, 2086, 2087, 2088, - 2089, 2090, 2091, 2092, 2093, 2094, 2095, 2096, 2097, 2098, 2099, 2100, - 2101, 2102, 2103, 2104, 2105, 2106, 2107, 2108, 2109, 2110, 2111, 2112, - 2113, 2114, 2115, 2116, 2117, 2118, 2119, 2120, 2121, 2122, 2123, 2124, - 2125, 2126, 2127, 2128, 2129, 2130, 2131, 2132, 2133, 2134, 2135, 2136, - 2137, 2138, 2139, 2140, 2141, 2142, 2143, 2144, 2145, 2146, 2147, 2148, - 2149, 2150, 2151, 2152, 2153, 2154, 2155, 2156, 2157, 2158, 2159, 2160, - 2161, 2162, 2163, 2164, 2165, 2166, 2167, 2168, 2169, 2170, 2171, 2172, - 2173, 2174, 2175, 2176, 2177, 2178, 2179, 2180, 2181, 2182, 2183, 2184, - 2185, 2186, 2187, 2188, 2189, 2190, 2191, 2192, 2193, 2194, 2195, 2196, - 2197, 2198, 2199, 2200, 2201, 2202, 2203, 2204, 2205, 2206, 2207, 2208, - 2209, 2210, 2211, 2212, 2213, 2214, 2215, 2216, 2217, 2218, 2219, 2220, - 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, - 2233, 2234, 2235, 2236, 2237, 2238, 2239, 2240, 2241, 2242, 2243, 2244, - 2245, 2246, 2247, 2248, 2249, 2250, 2251, 2252, 2253, 2254, 2255, 2256, - 2257, 2258, 2259, 2260, 2261, 2262, 2263, 2264, 2265, 2266, 2267, 2268, - 2269, 2270, 2271, 2272, 2273, 2274, 2275, 2276, 2277, 2278, 2279, 2280, - 2281, 2282, 2283, 2284, 2285, 2286, 2287, 2288, 2289, 2290, 2291, 2292, - 2293, 2294, 2295, 2296, 2297, 2298, 2299, 2300, 2301, 2302, 2303, 2304, - 2305, 2306, 2307, 2308, 2309, 2310, 2311, 2312, 2313, 2314, 2315, 2316, - 2317, 2318, 2319, 2320] - units: '1' -metadata: - format: {name: JPEG2000} - instrument: {name: MSI} - platform: {code: Sentinel-2B} - processing_level: Level-1C - product_format: {name: SAFE_COMPACT} - product_type: S2MSI1C -metadata_type: eo -name: s2b_level1c_granule diff --git a/digitalearthau/config/products/geomedian_nbart_annual.odc-product.yaml b/digitalearthau/config/products/geomedian_nbart_annual.odc-product.yaml deleted file mode 100644 index 170514bd..00000000 --- a/digitalearthau/config/products/geomedian_nbart_annual.odc-product.yaml +++ /dev/null @@ -1,145 +0,0 @@ -name: ls8_nbart_geomedian_annual -description: Surface Reflectance Geometric Median 25 metre, 100km tile, Australian Albers Equal Area projection (EPSG:3577) -metadata_type: eo -metadata: - product_type: surface_reflectance_statistical_summary - platform: - code: LANDSAT_8 - statistics: - period: '1y' - instrument: - name: OLI -storage: - driver: GeoTIFF - crs: EPSG:3577 - tile_size: - x: 100000.0 - y: 100000.0 - resolution: - x: 25 - y: -25 - dimension_order: [time, y, x] -# possibly fix the dtype -measurements: - - name: blue - dtype: int16 - nodata: -999 - units: '1' - - name: green - dtype: int16 - nodata: -999 - units: '1' - - name: red - dtype: int16 - nodata: -999 - units: '1' - - name: nir - dtype: int16 - nodata: -999 - units: '1' - - name: swir1 - dtype: int16 - nodata: -999 - units: '1' - - name: swir2 - dtype: int16 - nodata: -999 - units: '1' ---- - -name: ls7_nbart_geomedian_annual -description: Surface Reflectance Geometric Median 25 metre, 100km tile, Australian Albers Equal Area projection (EPSG:3577) -metadata_type: eo -metadata: - product_type: surface_reflectance_statistical_summary - platform: - code: LANDSAT_7 - statistics: - period: '1y' - instrument: - name: ETM -storage: - driver: GeoTIFF - crs: EPSG:3577 - tile_size: - x: 100000.0 - y: 100000.0 - resolution: - x: 25 - y: -25 - dimension_order: [time, y, x] -# possibly fix the dtype -measurements: - - name: blue - dtype: int16 - nodata: -999 - units: '1' - - name: green - dtype: int16 - nodata: -999 - units: '1' - - name: red - dtype: int16 - nodata: -999 - units: '1' - - name: nir - dtype: int16 - nodata: -999 - units: '1' - - name: swir1 - dtype: int16 - nodata: -999 - units: '1' - - name: swir2 - dtype: int16 - nodata: -999 - units: '1' ---- - -name: ls5_nbart_geomedian_annual -description: Surface Reflectance Geometric Median 25 metre, 100km tile, Australian Albers Equal Area projection (EPSG:3577) -metadata_type: eo -metadata: - product_type: surface_reflectance_statistical_summary - platform: - code: LANDSAT_5 - statistics: - period: '1y' - instrument: - name: TM -storage: - driver: GeoTIFF - crs: EPSG:3577 - tile_size: - x: 100000.0 - y: 100000.0 - resolution: - x: 25 - y: -25 - dimension_order: [time, y, x] -# possibly fix the dtype -measurements: - - name: blue - dtype: int16 - nodata: -999 - units: '1' - - name: green - dtype: int16 - nodata: -999 - units: '1' - - name: red - dtype: int16 - nodata: -999 - units: '1' - - name: nir - dtype: int16 - nodata: -999 - units: '1' - - name: swir1 - dtype: int16 - nodata: -999 - units: '1' - - name: swir2 - dtype: int16 - nodata: -999 - units: '1' diff --git a/digitalearthau/config/products/hltc.odc-product.yaml b/digitalearthau/config/products/hltc.odc-product.yaml deleted file mode 100644 index 222cf838..00000000 --- a/digitalearthau/config/products/hltc.odc-product.yaml +++ /dev/null @@ -1,159 +0,0 @@ ---- -name: high_tide_comp_20p -description: High Tide 20 percentage composites for entire coastline -metadata_type: eo - -managed: true -metadata: - format: - name: NetCDF - product_type: tidal_composite - statistic: - name: precisegeomedian - source: nbar - tidal_range: - name: high - min: 80 - max: 100 - -measurements: - - name: blue - dtype: float32 - nodata: -999 - units: '1' - - name: green - dtype: float32 - nodata: -999 - units: '1' - - name: red - dtype: float32 - nodata: -999 - units: '1' - - name: nir - dtype: float32 - nodata: -999 - units: '1' - - name: swir1 - dtype: float32 - nodata: -999 - units: '1' - - name: swir2 - dtype: float32 - nodata: -999 - units: '1' - -storage: - crs: EPSG:3577 - resolution: - x: 25 - y: -25 - ---- -name: high_tide_comp_count -description: High Tide 20 percentage pixel count -metadata_type: eo -managed: true - -metadata: - format: - name: NetCDF - product_type: tidal_composite - statistic: - name: clearcount - source: pq - tidal_range: - name: high - min: 80 - max: 100 - -measurements: - - name: count_observations - dtype: int16 - nodata: 0 - units: '1' - -storage: - crs: EPSG:3577 - resolution: - x: 25 - y: -25 - ---- -name: low_tide_comp_20p -description: Low Tide 20 percentage composites for entire coastline -metadata_type: eo -managed: true - -metadata: - format: - name: NetCDF - product_type: tidal_composite - statistic: - name: precisegeomedian - source: nbar - tidal_range: - name: low - min: 0 - max: 20 - -measurements: - - name: blue - dtype: float32 - nodata: -999 - units: '1' - - name: green - dtype: float32 - nodata: -999 - units: '1' - - name: red - dtype: float32 - nodata: -999 - units: '1' - - name: nir - dtype: float32 - nodata: -999 - units: '1' - - name: swir1 - dtype: float32 - nodata: -999 - units: '1' - - name: swir2 - dtype: float32 - nodata: -999 - units: '1' - -storage: - crs: EPSG:3577 - resolution: - x: 25 - y: -25 - ---- -name: low_tide_comp_count -description: Low Tide 20 percentage pixel count -metadata_type: eo -managed: true - -metadata: - format: - name: NetCDF - product_type: tidal_composite - statistic: - name: clearcount - source: pq - tidal_range: - name: low - min: 0 - max: 20 - -measurements: - - dtype: int16 - name: count_observations - nodata: 0 - units: '1' - -storage: - crs: EPSG:3577 - resolution: - x: 25 - y: -25 diff --git a/digitalearthau/config/products/item.odc-product.yaml b/digitalearthau/config/products/item.odc-product.yaml deleted file mode 100644 index 5ec48be2..00000000 --- a/digitalearthau/config/products/item.odc-product.yaml +++ /dev/null @@ -1,50 +0,0 @@ ---- -name: item_v2 -description: Intertidal Extents Model -metadata_type: eo - -managed: true -metadata: - format: - name: NetCDF - product_type: ITEM - statistic: - name: decile - -measurements: -- name: relative - dtype: int16 - nodata: 0 - units: '0.1' - -storage: - crs: EPSG:3577 - resolution: - x: 25 - y: -25 - ---- -name: item_v2_conf -description: Average ndwi Standard Deviation -metadata_type: eo - -managed: true -metadata: - format: - name: NetCDF - product_type: ITEM - statistic: - name: stddev - source: ndwi - -measurements: -- name: stddev - dtype: float32 - nodata: -6666 - units: '1' - -storage: - crs: EPSG:3577 - resolution: - x: 25 - y: -25 diff --git a/digitalearthau/config/products/ls5_scenes.odc-product.yaml b/digitalearthau/config/products/ls5_scenes.odc-product.yaml deleted file mode 100644 index 0090c369..00000000 --- a/digitalearthau/config/products/ls5_scenes.odc-product.yaml +++ /dev/null @@ -1,321 +0,0 @@ ---- -name: ls5_satellite_telemetry_data -description: Landsat 5 Satellite Telemetry Data -metadata_type: telemetry - -metadata: - platform: - code: LANDSAT_5 - instrument: - name: TM - product_type: satellite_telemetry_data - ---- - -name: ls5_level1_scene -description: Landsat 5 Level 1 At-sensor Radiance 25 metre - -metadata: - platform: - code: LANDSAT_5 - instrument: - name: TM - product_type: level1 - format: - name: GeoTIFF - -metadata_type: landsat_l1_scene - ---- -# Start LS5_SCENE -name: ls5_nbar_scene -description: Landsat 5 NBAR 25 metre -metadata_type: landsat_scene - -metadata: - platform: - code: LANDSAT_5 - instrument: - name: TM - product_type: nbar - format: - name: GeoTIFF - -measurements: - - name: '1' - aliases: [band_1, blue] - dtype: int16 - nodata: -999 - units: '1' - spectral_definition: - wavelength: [410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 524, 525, 526, 527, 528, 529, 530, 531, 532, 533, 534, 535, 536, 537, 538, 539, 540, 541, 542, 543, 544, 545, 546, 547, 548, 549, 550, 551, 552] - response: [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0007, 0.0008, 0.0008, 0.0009, 0.0009, 0.001, 0.0013, 0.0016, 0.002, 0.0023, 0.0027, 0.0042, 0.006, 0.0086, 0.0113, 0.0141, 0.017, 0.0216, 0.0268, 0.0321, 0.037, 0.042, 0.0471, 0.0524, 0.0577, 0.0633, 0.0746, 0.1097, 0.1564, 0.2483, 0.3391, 0.4058, 0.4741, 0.5366, 0.5856, 0.6667, 0.688, 0.6993, 0.7095, 0.7165, 0.72, 0.7326, 0.7475, 0.7583, 0.7714, 0.7847, 0.7924, 0.8002, 0.808, 0.8156, 0.8206, 0.8257, 0.8308, 0.8359, 0.8421, 0.8526, 0.8642, 0.8724, 0.8824, 0.8925, 0.9026, 0.9069, 0.9111, 0.9154, 0.9196, 0.9238, 0.9285, 0.9332, 0.9379, 0.9425, 0.9472, 0.9548, 0.9623, 0.9698, 0.9761, 0.9775, 0.9788, 0.9802, 0.9815, 0.9837, 0.9891, 0.9935, 0.9978, 1.0, 0.9952, 0.9828, 0.9524, 0.9219, 0.8914, 0.8607, 0.8293, 0.8021, 0.7877, 0.7732, 0.7565, 0.7339, 0.6859, 0.5784, 0.4813, 0.4002, 0.3187, 0.2367, 0.1324, 0.1018, 0.0911, 0.0804, 0.0696, 0.0588, 0.0532, 0.0498, 0.0465, 0.0431, 0.0397, 0.0364, 0.033, 0.0296, 0.0261, 0.0227, 0.0205, 0.0184, 0.0162, 0.014, 0.0119, 0.0105, 0.0093, 0.0081, 0.0069, 0.0058, 0.0056, 0.0054, 0.0052, 0.0, 0.0] - 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- name: '5' - aliases: [band_5, swir1] - dtype: int16 - nodata: -999 - units: '1' - spectral_definition: - wavelength: [1514, 1515, 1517, 1519, 1521, 1523, 1525, 1526, 1528, 1530, 1532, 1534, 1536, 1538, 1540, 1542, 1543, 1545, 1547, 1549, 1551, 1553, 1555, 1557, 1559, 1561, 1563, 1565, 1567, 1569, 1571, 1572, 1574, 1576, 1578, 1580, 1582, 1584, 1586, 1588, 1590, 1592, 1594, 1596, 1598, 1600, 1602, 1604, 1606, 1608, 1610, 1613, 1615, 1617, 1619, 1621, 1623, 1625, 1627, 1629, 1631, 1633, 1635, 1637, 1639, 1641, 1643, 1645, 1647, 1649, 1651, 1653, 1656, 1658, 1660, 1662, 1664, 1666, 1668, 1670, 1672, 1674, 1676, 1678, 1680, 1682, 1684, 1687, 1689, 1691, 1693, 1695, 1697, 1699, 1701, 1703, 1705, 1707, 1709, 1711, 1714, 1716, 1718, 1720, 1722, 1724, 1725, 1726, 1728, 1730, 1732, 1734, 1736, 1738, 1740, 1742, 1744, 1747, 1749, 1751, 1753, 1755, 1757, 1759, 1761, 1763, 1765, 1767, 1769, 1771, 1773, 1775, 1777, 1779, 1781, 1783, 1785, 1787, 1789, 1791, 1793, 1795, 1797, 1799, 1801, 1803, 1805, 1807, 1809, 1811, 1813, 1815, 1820, 1825, 1830, 1840, 1850, 1860, 1870, 1880] - 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- name: '7' - aliases: [band_7, swir2] - dtype: int16 - nodata: -999 - units: '1' - spectral_definition: - wavelength: [2000, 2001, 2003, 2005, 2007, 2009, 2011, 2013, 2015, 2017, 2018, 2020, 2022, 2024, 2026, 2028, 2030, 2032, 2034, 2035, 2037, 2039, 2041, 2043, 2045, 2047, 2049, 2051, 2052, 2054, 2056, 2058, 2060, 2062, 2064, 2066, 2067, 2069, 2071, 2073, 2075, 2077, 2079, 2081, 2083, 2085, 2086, 2088, 2090, 2092, 2094, 2096, 2099, 2100, 2102, 2104, 2106, 2108, 2110, 2112, 2114, 2116, 2117, 2119, 2121, 2123, 2125, 2127, 2129, 2131, 2133, 2135, 2136, 2138, 2140, 2142, 2144, 2146, 2148, 2150, 2151, 2153, 2155, 2157, 2159, 2161, 2163, 2165, 2166, 2168, 2170, 2172, 2174, 2176, 2178, 2180, 2182, 2183, 2185, 2187, 2189, 2191, 2193, 2195, 2197, 2199, 2201, 2203, 2205, 2207, 2209, 2210, 2212, 2214, 2216, 2218, 2220, 2222, 2223, 2226, 2227, 2229, 2231, 2233, 2235, 2237, 2239, 2241, 2242, 2244, 2246, 2248, 2250, 2252, 2254, 2256, 2258, 2259, 2261, 2263, 2265, 2267, 2269, 2271, 2273, 2274, 2276, 2278, 2280, 2282, 2284, 2286, 2288, 2290, 2292, 2293, 2295, 2297, 2299, 2301, 2303, 2305, 2307, 2309, 2310, 2312, 2314, 2316, 2318, 2320, 2322, 2323, 2325, 2327, 2329, 2331, 2333, 2335, 2337, 2339, 2340, 2342, 2344, 2346, 2348, 2350, 2352, 2354, 2355, 2357, 2359, 2361, 2363, 2365, 2367, 2369, 2371, 2373, 2374, 2376, 2378, 2380, 2382, 2384, 2386, 2390, 2395, 2400] - 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-name: ls5_nbart_scene -description: Landsat 5 NBART 25 metre -metadata_type: landsat_scene - -metadata: - platform: - code: LANDSAT_5 - instrument: - name: TM - product_type: nbart - format: - name: GeoTIFF - -measurements: - - name: '1' - aliases: [band_1, blue] - dtype: int16 - nodata: -999 - units: '1' - spectral_definition: - wavelength: [410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 524, 525, 526, 527, 528, 529, 530, 531, 532, 533, 534, 535, 536, 537, 538, 539, 540, 541, 542, 543, 544, 545, 546, 547, 548, 549, 550, 551, 552] - 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---- - - -name: ls5_pq_scene -description: Landsat 5 PQ 25 metre -metadata_type: landsat_scene - -metadata: - platform: - code: LANDSAT_5 - instrument: - name: TM - product_type: pqa - format: - name: GeoTIFF - -measurements: - - name: pqa - aliases: [qa_flags, quality] - dtype: int16 - units: '1' - nodata: 0 - flags_definition: - blue_saturated: - bits: 0 - description: Blue band is saturated - values: {0: true, 1: false} - green_saturated: - bits: 1 - description: Green band is saturated - values: {0: true, 1: false} - red_saturated: - bits: 2 - description: Red band is saturated - values: {0: true, 1: false} - nir_saturated: - bits: 3 - description: NIR band is saturated - values: {0: true, 1: false} - swir1_saturated: - bits: 4 - description: SWIR1 band is saturated - values: {0: true, 1: false} - tir_saturated: - bits: 5 - description: Thermal Infrared band is saturated - values: {0: true, 1: false} - swir2_saturated: - bits: 7 - description: SWIR2 band is saturated - values: {0: true, 1: false} - contiguous: - bits: 8 - description: All bands for this pixel contain non-null values - values: {0: false, 1: true} - land_sea: - bits: 9 - description: Land or Sea - values: {0: sea, 1: land} - cloud_acca: - bits: 10 - description: Cloud (ACCA) - values: {0: cloud, 1: no_cloud} - cloud_fmask: - bits: 11 - description: Cloud (Fmask) - values: {0: cloud, 1: no_cloud} - cloud_shadow_acca: - bits: 12 - description: Cloud Shadow (ACCA) - values: {0: cloud_shadow, 1: no_cloud_shadow} - cloud_shadow_fmask: - bits: 13 - description: Cloud Shadow (Fmask) - values: {0: cloud_shadow, 1: no_cloud_shadow} - - ga_good_pixel: - bits: [13, 12, 11, 10, 9, 8, 7, 6, 5, 4, 3, 2, 1, 0] - description: Best Quality Pixel - values: - 16383: true - ---- - - -name: ls5_pq_legacy_scene -description: Landsat 5 PQ Legacy 25 metre -metadata_type: landsat_scene - -metadata: - platform: - code: LANDSAT_5 - instrument: - name: TM - product_type: legacy_pqa - format: - name: GeoTIFF - -measurements: - - name: pqa - aliases: [qa_flags, quality] - dtype: int16 - units: '1' - nodata: 0 - flags_definition: - blue_saturated: - bits: 0 - description: Blue band is saturated - values: {0: true, 1: false} - green_saturated: - bits: 1 - description: Green band is saturated - values: {0: true, 1: false} - red_saturated: - bits: 2 - description: Red band is saturated - values: {0: true, 1: false} - nir_saturated: - bits: 3 - description: NIR band is saturated - values: {0: true, 1: false} - swir1_saturated: - bits: 4 - description: SWIR1 band is saturated - values: {0: true, 1: false} - tir_saturated: - bits: 5 - description: Thermal Infrared band is saturated - values: {0: true, 1: false} - swir2_saturated: - bits: 7 - description: SWIR2 band is saturated - values: {0: true, 1: false} - contiguous: - bits: 8 - description: All bands for this pixel contain non-null values - values: {0: false, 1: true} - land_sea: - bits: 9 - description: Land or Sea - values: {0: sea, 1: land} - cloud_acca: - bits: 10 - description: Cloud (ACCA) - values: {0: cloud, 1: no_cloud} - cloud_fmask: - bits: 11 - description: Cloud (Fmask) - values: {0: cloud, 1: no_cloud} - cloud_shadow_acca: - bits: 12 - description: Cloud Shadow (ACCA) - values: {0: cloud_shadow, 1: no_cloud_shadow} - cloud_shadow_fmask: - bits: 13 - description: Cloud Shadow (Fmask) - values: {0: cloud_shadow, 1: no_cloud_shadow} - - ga_good_pixel: - bits: [13, 12, 11, 10, 9, 8, 7, 6, 5, 4, 3, 2, 1, 0] - description: Best Quality Pixel - values: - 16383: true diff --git a/digitalearthau/config/products/ls7_scenes.odc-product.yaml b/digitalearthau/config/products/ls7_scenes.odc-product.yaml deleted file mode 100644 index 17e519bd..00000000 --- a/digitalearthau/config/products/ls7_scenes.odc-product.yaml +++ /dev/null @@ -1,328 +0,0 @@ ---- -name: ls7_satellite_telemetry_data -description: Landsat 7 Satellite Telemetry Data -metadata_type: telemetry - -metadata: - platform: - code: LANDSAT_7 - instrument: - name: ETM - product_type: satellite_telemetry_data - ---- - -name: ls7_level1_scene -description: Landsat 7 Level 1 At-sensor Radiance 25 metre -metadata_type: landsat_l1_scene - -metadata: - platform: - code: LANDSAT_7 - instrument: - name: ETM - product_type: level1 - format: - name: GeoTIFF - ---- - -name: ls7_nbar_scene -description: Landsat 7 NBAR 25 metre -metadata_type: landsat_scene - -metadata: - platform: - code: LANDSAT_7 - instrument: - name: ETM - product_type: nbar - format: - name: GeoTIFF - -measurements: - - name: '1' - dtype: int16 - nodata: -999 - units: '1' - aliases: [band_1, blue] - spectral_definition: - wavelength: [410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523] - 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response: [0.0006, 0.0009, 0.001, 0.002, 0.002, 0.003, 0.005, 0.009, 0.0145, 0.0236, 0.026, 0.041, 0.06, 0.088, 0.126, 0.174, 0.236, 0.308, 0.388, 0.472, 0.552, 0.621, 0.676, 0.716, 0.743, 0.759, 0.769, 0.779, 0.79, 0.805, 0.822, 0.842, 0.861, 0.878, 0.893, 0.905, 0.916, 0.924, 0.933, 0.942, 0.947, 0.951, 0.953, 0.952, 0.951, 0.952, 0.951, 0.951, 0.952, 0.952, 0.953, 0.951, 0.95, 0.95, 0.951, 0.954, 0.96, 0.966, 0.968, 0.965, 0.959, 0.951, 0.944, 0.937, 0.932, 0.933, 0.935, 0.937, 0.94, 0.945, 0.951, 0.955, 0.957, 0.956, 0.957, 0.955, 0.952, 0.954, 0.958, 0.963, 0.973, 0.981, 0.988, 0.995, 1.0, 1.0, 0.994, 0.983, 0.969, 0.954, 0.942, 0.936, 0.932, 0.928, 0.924, 0.912, 0.883, 0.834, 0.763, 0.674, 0.574, 0.473, 0.38, 0.3, 0.235, 0.185, 0.146, 0.117, 0.094, 0.077, 0.062, 0.052, 0.042, 0.033, 0.026, 0.021, 0.0158, 0.01235, 0.0094, 0.00717, 0.0048, 0.0037, 0.0026, 0.0017, 0.0014, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] - - name: '3' - dtype: int16 - nodata: -999 - units: '1' - aliases: [band_3, red] - spectral_definition: - wavelength: [580, 590, 600, 605, 610, 611, 612, 613, 614, 615, 616, 617, 618, 619, 620, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 677, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 710, 715, 720, 725, 730, 740] - response: [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0005, 0.0001, 0.0, 0.0005, 0.0006, 0.0014, 0.002, 0.003, 0.006, 0.013, 0.025, 0.047, 0.083, 0.137, 0.211, 0.306, 0.419, 0.545, 0.674, 0.788, 0.873, 0.921, 0.941, 0.943, 0.942, 0.939, 0.937, 0.935, 0.935, 0.938, 0.943, 0.949, 0.953, 0.961, 0.968, 0.971, 0.973, 0.974, 0.972, 0.969, 0.963, 0.958, 0.956, 0.955, 0.955, 0.956, 0.962, 0.969, 0.977, 0.983, 0.988, 0.993, 0.996, 0.997, 0.999, 1.0, 1.0, 0.998, 0.996, 0.995, 0.993, 0.992, 0.991, 0.989, 0.988, 0.984, 0.977, 0.97, 0.96, 0.949, 0.94, 0.932, 0.919, 0.898, 0.863, 0.809, 0.729, 0.625, 0.506, 0.382, 0.272, 0.183, 0.12, 0.079, 0.053, 0.036, 0.025, 0.0196, 0.0142, 0.0101, 0.0075, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] - - name: '4' - dtype: int16 - nodata: -999 - units: '1' - aliases: [band_4, nir] - spectral_definition: - wavelength: [730, 735, 740, 745, 750, 751, 752, 753, 754, 755, 756, 757, 758, 759, 760, 761, 762, 763, 764, 765, 766, 767, 768, 769, 770, 771, 772, 773, 774, 775, 776, 777, 778, 779, 780, 781, 782, 783, 784, 785, 786, 787, 788, 789, 790, 791, 792, 793, 794, 795, 796, 797, 798, 799, 800, 801, 802, 803, 804, 805, 806, 807, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, 828, 829, 830, 831, 832, 833, 834, 835, 836, 837, 838, 839, 840, 841, 842, 843, 844, 845, 846, 847, 848, 849, 850, 851, 852, 853, 854, 855, 856, 857, 858, 859, 860, 861, 862, 863, 864, 865, 866, 867, 868, 869, 870, 871, 872, 873, 874, 875, 876, 877, 878, 879, 880, 881, 882, 883, 884, 885, 886, 887, 888, 889, 890, 891, 892, 893, 894, 895, 896, 897, 898, 899, 900, 901, 902, 903, 904, 905, 906, 907, 908, 909, 910, 911, 912, 913, 914, 915, 920, 925, 930, 935, 940, 945] - 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---- - -name: ls7_nbart_scene -description: Landsat 7 NBART 25 metre -metadata_type: landsat_scene - -metadata: - platform: - code: LANDSAT_7 - instrument: - name: ETM - product_type: nbart - format: - name: GeoTIFF - -measurements: - - name: '1' - dtype: int16 - nodata: -999 - units: '1' - aliases: [band_1, blue] - spectral_definition: - wavelength: [410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523] - response: [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.016, 0.027, 0.048, 0.094, 0.167, 0.287, 0.459, 0.605, 0.728, 0.769, 0.792, 0.821, 0.857, 0.857, 0.862, 0.839, 0.845, 0.81, 0.802, 0.804, 0.779, 0.798, 0.816, 0.876, 0.888, 0.901, 0.918, 0.896, 0.903, 0.888, 0.89, 0.863, 0.86, 0.842, 0.866, 0.875, 0.881, 0.888, 0.898, 0.879, 0.884, 0.907, 0.928, 0.932, 0.955, 0.958, 0.948, 0.952, 0.956, 0.98, 0.98, 0.975, 0.973, 0.977, 0.958, 0.965, 0.957, 0.952, 0.973, 0.974, 0.995, 0.986, 0.986, 0.994, 1.0, 0.99, 0.99, 0.976, 0.983, 0.976, 0.983, 0.96, 0.973, 0.964, 0.975, 0.96, 0.932, 0.853, 0.684, 0.486, 0.293, 0.15, 0.073, 0.036, 0.019, 0.009, 0.0, 0.0, 0.0] - 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- name: '5' - dtype: int16 - nodata: -999 - units: '1' - aliases: [band_5, swir1] - spectral_definition: - wavelength: [1514, 1515, 1517, 1519, 1521, 1523, 1525, 1526, 1528, 1530, 1532, 1534, 1536, 1538, 1540, 1542, 1543, 1545, 1547, 1549, 1551, 1553, 1555, 1557, 1559, 1561, 1563, 1565, 1567, 1569, 1571, 1572, 1574, 1576, 1578, 1580, 1582, 1584, 1586, 1588, 1590, 1592, 1594, 1596, 1598, 1600, 1602, 1604, 1606, 1608, 1610, 1613, 1615, 1617, 1619, 1621, 1623, 1625, 1627, 1629, 1631, 1633, 1635, 1637, 1639, 1641, 1643, 1645, 1647, 1649, 1651, 1653, 1656, 1658, 1660, 1662, 1664, 1666, 1668, 1670, 1672, 1674, 1676, 1678, 1680, 1682, 1684, 1687, 1689, 1691, 1693, 1695, 1697, 1699, 1701, 1703, 1705, 1707, 1709, 1711, 1714, 1716, 1718, 1720, 1722, 1724, 1725, 1726, 1728, 1730, 1732, 1734, 1736, 1738, 1740, 1742, 1744, 1747, 1749, 1751, 1753, 1755, 1757, 1759, 1761, 1763, 1765, 1767, 1769, 1771, 1773, 1775, 1777, 1779, 1781, 1783, 1785, 1787, 1789, 1791, 1793, 1795, 1797, 1799, 1801, 1803, 1805, 1807, 1809, 1811, 1813, 1815, 1820, 1825, 1830, 1840, 1850, 1860, 1870, 1880] - 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- name: '7' - dtype: int16 - nodata: -999 - units: '1' - aliases: [band_7, swir2] - spectral_definition: - wavelength: [2000, 2001, 2003, 2005, 2007, 2009, 2011, 2013, 2015, 2017, 2018, 2020, 2022, 2024, 2026, 2028, 2030, 2032, 2034, 2035, 2037, 2039, 2041, 2043, 2045, 2047, 2049, 2051, 2052, 2054, 2056, 2058, 2060, 2062, 2064, 2066, 2067, 2069, 2071, 2073, 2075, 2077, 2079, 2081, 2083, 2085, 2086, 2088, 2090, 2092, 2094, 2096, 2099, 2100, 2102, 2104, 2106, 2108, 2110, 2112, 2114, 2116, 2117, 2119, 2121, 2123, 2125, 2127, 2129, 2131, 2133, 2135, 2136, 2138, 2140, 2142, 2144, 2146, 2148, 2150, 2151, 2153, 2155, 2157, 2159, 2161, 2163, 2165, 2166, 2168, 2170, 2172, 2174, 2176, 2178, 2180, 2182, 2183, 2185, 2187, 2189, 2191, 2193, 2195, 2197, 2199, 2201, 2203, 2205, 2207, 2209, 2210, 2212, 2214, 2216, 2218, 2220, 2222, 2223, 2226, 2227, 2229, 2231, 2233, 2235, 2237, 2239, 2241, 2242, 2244, 2246, 2248, 2250, 2252, 2254, 2256, 2258, 2259, 2261, 2263, 2265, 2267, 2269, 2271, 2273, 2274, 2276, 2278, 2280, 2282, 2284, 2286, 2288, 2290, 2292, 2293, 2295, 2297, 2299, 2301, 2303, 2305, 2307, 2309, 2310, 2312, 2314, 2316, 2318, 2320, 2322, 2323, 2325, 2327, 2329, 2331, 2333, 2335, 2337, 2339, 2340, 2342, 2344, 2346, 2348, 2350, 2352, 2354, 2355, 2357, 2359, 2361, 2363, 2365, 2367, 2369, 2371, 2373, 2374, 2376, 2378, 2380, 2382, 2384, 2386, 2390, 2395, 2400] - response: [0.0, 0.003, -0.002, 0.003, -0.001, 0.0, 0.004, -0.004, 0.002, 0.002, 0.002, 0.012, 0.009, 0.007, 0.011, 0.02, 0.017, 0.03, 0.035, 0.037, 0.044, 0.051, 0.065, 0.08, 0.088, 0.102, 0.133, 0.165, 0.188, 0.22, 0.264, 0.316, 0.367, 0.421, 0.484, 0.554, 0.59, 0.67, 0.683, 0.73, 0.756, 0.767, 0.794, 0.774, 0.776, 0.789, 0.775, 0.784, 0.778, 0.768, 0.762, 0.761, 0.775, 0.775, 0.764, 0.784, 0.792, 0.814, 0.794, 0.825, 0.817, 0.806, 0.819, 0.821, 0.852, 0.832, 0.836, 0.85, 0.855, 0.862, 0.853, 0.871, 0.848, 0.882, 0.875, 0.86, 0.856, 0.887, 0.85, 0.872, 0.879, 0.857, 0.865, 0.867, 0.871, 0.882, 0.87, 0.869, 0.873, 0.877, 0.868, 0.88, 0.877, 0.87, 0.878, 0.88, 0.868, 0.881, 0.87, 0.856, 0.863, 0.863, 0.857, 0.844, 0.859, 0.857, 0.852, 0.866, 0.868, 0.856, 0.856, 0.847, 0.861, 0.862, 0.84, 0.856, 0.838, 0.856, 0.837, 0.842, 0.826, 0.844, 0.827, 0.842, 0.822, 0.843, 0.823, 0.854, 0.839, 0.853, 0.854, 0.865, 0.873, 0.869, 0.865, 0.893, 0.89, 0.89, 0.906, 0.924, 0.92, 0.922, 0.939, 0.916, 0.94, 0.93, 0.942, 0.957, 0.954, 0.951, 0.954, 0.966, 0.975, 0.985, 0.971, 0.973, 0.97, 0.993, 0.996, 0.983, 0.972, 1.0, 0.998, 0.971, 0.968, 0.967, 0.962, 0.949, 0.923, 0.929, 0.917, 0.934, 0.903, 0.926, 0.916, 0.942, 0.924, 0.92, 0.863, 0.824, 0.775, 0.684, 0.583, 0.48, 0.378, 0.275, 0.233, 0.171, 0.131, 0.111, 0.081, 0.069, 0.046, 0.029, 0.038, -0.002, 0.029, 0.016, 0.009, 0.017, 0.003, 0.015, 0.0, -0.009, 0.007, 0.0, 0.0, 0.0] - ---- - - -name: ls7_pq_scene -description: Landsat 7 PQ 25 metre -metadata_type: landsat_scene - -metadata: - platform: - code: LANDSAT_7 - instrument: - name: ETM - product_type: pqa - format: - name: GeoTIFF - -measurements: - - name: 'pqa' - dtype: int16 - units: '1' - nodata: 0 - aliases: [qa_flags, quality] - flags_definition: - blue_saturated: - bits: 0 - description: Blue band is saturated - values: {0: true, 1: false} - green_saturated: - bits: 1 - description: Green band is saturated - values: {0: true, 1: false} - red_saturated: - bits: 2 - description: Red band is saturated - values: {0: true, 1: false} - nir_saturated: - bits: 3 - description: NIR band is saturated - values: {0: true, 1: false} - swir1_saturated: - bits: 4 - description: SWIR1 band is saturated - values: {0: true, 1: false} - tir_low_saturated: - bits: 5 - description: Thermal Infrared Low Gain band is saturated - values: {0: true, 1: false} - tir_high_saturated: - bits: 6 - description: Thermal Infrared High Gain band is saturated - values: {0: true, 1: false} - swir2_saturated: - bits: 7 - description: SWIR2 band is saturated - values: {0: true, 1: false} - contiguous: - bits: 8 - description: All bands for this pixel contain non-null values - values: {0: false, 1: true} - land_sea: - bits: 9 - description: Land or Sea - values: {0: sea, 1: land} - cloud_acca: - bits: 10 - description: Cloud (ACCA) - values: {0: cloud, 1: no_cloud} - cloud_fmask: - bits: 11 - description: Cloud (Fmask) - values: {0: cloud, 1: no_cloud} - cloud_shadow_acca: - bits: 12 - description: Cloud Shadow (ACCA) - values: {0: cloud_shadow, 1: no_cloud_shadow} - cloud_shadow_fmask: - bits: 13 - description: Cloud Shadow (Fmask) - values: {0: cloud_shadow, 1: no_cloud_shadow} - - ga_good_pixel: - bits: [13, 12, 11, 10, 9, 8, 7, 6, 5, 4, 3, 2, 1, 0] - description: Best Quality Pixel - values: - 16383: true - ---- - - -name: ls7_pq_legacy_scene -description: Landsat 7 PQ Legacy 25 metre -metadata_type: landsat_scene - -metadata: - platform: - code: LANDSAT_7 - instrument: - name: ETM - product_type: legacy_pqa - format: - name: GeoTIFF - -measurements: - - name: 'pqa' - dtype: int16 - units: '1' - nodata: 0 - aliases: [qa_flags, quality] - flags_definition: - blue_saturated: - bits: 0 - description: Blue band is saturated - values: {0: true, 1: false} - green_saturated: - bits: 1 - description: Green band is saturated - values: {0: true, 1: false} - red_saturated: - bits: 2 - description: Red band is saturated - values: {0: true, 1: false} - nir_saturated: - bits: 3 - description: NIR band is saturated - values: {0: true, 1: false} - swir1_saturated: - bits: 4 - description: SWIR1 band is saturated - values: {0: true, 1: false} - tir_low_saturated: - bits: 5 - description: Thermal Infrared Low Gain band is saturated - values: {0: true, 1: false} - tir_high_saturated: - bits: 6 - description: Thermal Infrared High Gain band is saturated - values: {0: true, 1: false} - swir2_saturated: - bits: 7 - description: SWIR2 band is saturated - values: {0: true, 1: false} - contiguous: - bits: 8 - description: All bands for this pixel contain non-null values - values: {0: false, 1: true} - land_sea: - bits: 9 - description: Land or Sea - values: {0: sea, 1: land} - cloud_acca: - bits: 10 - description: Cloud (ACCA) - values: {0: cloud, 1: no_cloud} - cloud_fmask: - bits: 11 - description: Cloud (Fmask) - values: {0: cloud, 1: no_cloud} - cloud_shadow_acca: - bits: 12 - description: Cloud Shadow (ACCA) - values: {0: cloud_shadow, 1: no_cloud_shadow} - cloud_shadow_fmask: - bits: 13 - description: Cloud Shadow (Fmask) - values: {0: cloud_shadow, 1: no_cloud_shadow} - - ga_good_pixel: - bits: [13, 12, 11, 10, 9, 8, 7, 6, 5, 4, 3, 2, 1, 0] - description: Best Quality Pixel - values: - 16383: true diff --git a/digitalearthau/config/products/ls8_scenes.odc-product.yaml b/digitalearthau/config/products/ls8_scenes.odc-product.yaml deleted file mode 100644 index 8e0a3453..00000000 --- a/digitalearthau/config/products/ls8_scenes.odc-product.yaml +++ /dev/null @@ -1,671 +0,0 @@ ---- -name: ls8_satellite_telemetry_data -description: Landsat 8 Satellite Telemetry Data -metadata_type: telemetry - -metadata: - platform: - code: LANDSAT_8 - product_type: satellite_telemetry_data - ---- - -name: ls8_level1_scene -description: Landsat 8 Level 1 OLI-TIRS At-sensor Radiance 25 metre -metadata_type: landsat_l1_scene - -metadata: - platform: - code: LANDSAT_8 - instrument: - name: OLI_TIRS - product_type: level1 - format: - name: GeoTIFF - ---- - -name: ls8_nbar_scene -description: Landsat 8 NBAR 25 metre -metadata_type: landsat_scene - -metadata: - platform: - code: LANDSAT_8 - instrument: - name: OLI_TIRS - product_type: nbar - format: - name: GeoTIFF - -measurements: - - name: '1' - dtype: int16 - nodata: -999 - units: '1' - aliases: [band_1, coastal_aerosol] - spectral_definition: - wavelength: [427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 459] - response: [7.3e-05, 0.000609, 0.001628, 0.003421, 0.008019, 0.024767, 0.085688, 0.254149, 0.517821, 0.765117, 0.908749, 0.958204, 0.977393, 0.98379, 0.989052, 0.986713, 0.993683, 0.993137, 1.0, 0.996969, 0.98278, 0.972692, 0.905808, 0.745606, 0.471329, 0.226412, 0.09286, 0.036603, 0.014537, 0.005829, 0.002414, 0.000984, 0.000255] - - name: '2' - dtype: int16 - nodata: -999 - units: '1' - aliases: [band_2, blue] - spectral_definition: - wavelength: [436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 524, 525, 526, 527, 528] - response: [1.0e-05, 6.1e-05, 0.000117, 0.000241, 0.000349, 0.000455, 0.000756, 0.001197, 0.00207, 0.003712, 0.006869, 0.013212, 0.02717, 0.058606, 0.130876, 0.27137, 0.493542, 0.723971, 0.85751, 0.894222, 0.903034, 0.910928, 0.90988, 0.899475, 0.897977, 0.889667, 0.883542, 0.877453, 0.881011, 0.874721, 0.879688, 0.886569, 0.891913, 0.88768, 0.861157, 0.848533, 0.840828, 0.828339, 0.844202, 0.865864, 0.868497, 0.890253, 0.912538, 0.910385, 0.918822, 0.931726, 0.931813, 0.954248, 0.955545, 0.96242, 0.956424, 0.953352, 0.978564, 0.989104, 0.985615, 0.989469, 0.982262, 0.968801, 0.967332, 0.976836, 0.988729, 0.980826, 0.967361, 0.954754, 0.964132, 0.966125, 0.966772, 0.981834, 0.98232, 0.965685, 0.963135, 0.972261, 0.996498, 1.0, 0.9556, 0.844893, 0.534592, 0.190738, 0.048329, 0.013894, 0.005328, 0.002611, 0.001557, 0.0011, 0.000785, 0.000516, 0.000321, 0.000162, 7.2e-05, 5.7e-05, 2.3e-05, 3.2e-05, -1.6e-05] - - name: '3' - dtype: int16 - nodata: -999 - units: '1' - aliases: [band_3, green] - spectral_definition: - wavelength: [512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 524, 525, 526, 527, 528, 529, 530, 531, 532, 533, 534, 535, 536, 537, 538, 539, 540, 541, 542, 543, 544, 545, 546, 547, 548, 549, 550, 551, 552, 553, 554, 555, 556, 557, 558, 559, 560, 561, 562, 563, 564, 565, 566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, 578, 579, 580, 581, 582, 583, 584, 585, 586, 587, 588, 589, 590, 591, 592, 593, 594, 595, 596, 597, 598, 599, 600, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610] - response: [-4.6e-05, 1.6e-05, 0.00011, 0.000247, 0.000362, 0.000648, 0.000935, 0.001332, 0.001816, 0.002515, 0.003446, 0.00488, 0.007024, 0.010441, 0.016247, 0.025513, 0.041451, 0.070551, 0.123444, 0.21168, 0.353885, 0.545856, 0.741205, 0.865225, 0.927396, 0.954627, 0.954163, 0.959215, 0.961328, 0.964902, 0.969873, 0.952489, 0.961397, 0.97827, 0.977533, 0.977001, 0.980884, 0.990784, 1.0, 0.992264, 0.982642, 0.983832, 0.977765, 0.965081, 0.957314, 0.946245, 0.947871, 0.959038, 0.966534, 0.977656, 0.966447, 0.953399, 0.958314, 0.970039, 0.978607, 0.983397, 0.98096, 0.974522, 0.967229, 0.979406, 0.978208, 0.975818, 0.974392, 0.979973, 0.968827, 0.969181, 0.967838, 0.982956, 0.979598, 0.963811, 0.968886, 0.983655, 0.986657, 0.974207, 0.946407, 0.904478, 0.809275, 0.684974, 0.525304, 0.345364, 0.190467, 0.087833, 0.035393, 0.014077, 0.005944, 0.002574, 0.001046, 0.000394, 8.5e-05, -8.4e-05, -0.000194, -0.000234, -0.000292, -0.000307, -0.000343, -0.000348, -0.000329, -0.000351, -0.000317] - - name: '4' - dtype: int16 - nodata: -999 - units: '1' - aliases: [band_4, red] - spectral_definition: - wavelength: [625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 677, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691] - response: [-0.000342, 0.00027, 0.000895, 0.00185, 0.003648, 0.007197, 0.014515, 0.030432, 0.066861, 0.148518, 0.299778, 0.526812, 0.764443, 0.905473, 0.947949, 0.950823, 0.947418, 0.951831, 0.962705, 0.975075, 0.984173, 0.983613, 0.983434, 0.982911, 0.973636, 0.959441, 0.955641, 0.955548, 0.953337, 0.956628, 0.981688, 1.0, 0.992388, 0.984615, 0.981568, 0.97696, 0.97298, 0.98108, 0.996804, 0.992142, 0.980678, 0.964002, 0.962154, 0.970778, 0.96718, 0.966928, 0.949928, 0.848855, 0.609359, 0.31635, 0.123946, 0.046033, 0.017702, 0.007333, 0.003205, 0.001402, 0.000554, 0.000117, -0.000122, -0.000289, -0.000376, -0.000396, -0.000458, -0.000488, -0.000457, -0.000429, -0.000417] - 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- name: '5' - dtype: int16 - nodata: -999 - units: '1' - aliases: [band_5, nir] - spectral_definition: - wavelength: [829, 830, 831, 832, 833, 834, 835, 836, 837, 838, 839, 840, 841, 842, 843, 844, 845, 846, 847, 848, 849, 850, 851, 852, 853, 854, 855, 856, 857, 858, 859, 860, 861, 862, 863, 864, 865, 866, 867, 868, 869, 870, 871, 872, 873, 874, 875, 876, 877, 878, 879, 880, 881, 882, 883, 884, 885, 886, 887, 888, 889, 890, 891, 892, 893, 894, 895, 896, 897, 898, 899, 900] - response: [-3.4e-05, 1.1e-05, 5.0e-05, 0.0001, 0.000239, 0.000314, 0.000495, 0.000719, 0.000986, 0.001445, 0.002107, 0.00316, 0.004744, 0.007059, 0.0109, 0.017346, 0.028332, 0.048191, 0.084363, 0.145365, 0.249733, 0.403526, 0.582623, 0.745037, 0.890315, 0.960215, 0.986833, 0.973133, 0.980606, 0.99612, 1.0, 0.989777, 0.980733, 0.975935, 0.972043, 0.957357, 0.951209, 0.947044, 0.953162, 0.951499, 0.94845, 0.940094, 0.950632, 0.956079, 0.96646, 0.969821, 0.93661, 0.891066, 0.788733, 0.63532, 0.448364, 0.288847, 0.174619, 0.100343, 0.058265, 0.034532, 0.02072, 0.01244, 0.007601, 0.004702, 0.002944, 0.00187, 0.001192, 0.000743, 0.000423, 0.000241, 0.000116, 4.4e-05, -1.3e-05, -5.0e-05, -8.4e-05, -0.0001] - 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- -name: ls8_pq_scene -description: Landsat 8 PQ 25 metre -metadata_type: landsat_scene - -metadata: - platform: - code: LANDSAT_8 - instrument: - name: OLI_TIRS - product_type: pqa - format: - name: GeoTIFF - -measurements: - - name: 'pqa' - dtype: int16 - units: '1' - nodata: 0 - aliases: [qa_flags, quality] - flags_definition: - blue_saturated: - bits: 0 - description: Blue band is saturated - values: {0: true, 1: false} - green_saturated: - bits: 1 - description: Green band is saturated - values: {0: true, 1: false} - red_saturated: - bits: 2 - description: Red band is saturated - values: {0: true, 1: false} - nir_saturated: - bits: 3 - description: NIR band is saturated - values: {0: true, 1: false} - swir1_saturated: - bits: 4 - description: SWIR1 band is saturated - values: {0: true, 1: false} - tir1_saturated: - bits: 5 - description: Thermal Infrared 1 band is saturated - values: {0: true, 1: false} - tir2_saturated: - bits: 6 - description: Thermal Infrared 2 band is saturated - values: {0: true, 1: false} - swir2_saturated: - bits: 7 - description: SWIR2 band is saturated - values: {0: true, 1: false} - contiguous: - bits: 8 - description: All bands for this pixel contain non-null values - values: {0: false, 1: true} - land_sea: - bits: 9 - description: Land or Sea - values: {0: sea, 1: land} - cloud_acca: - bits: 10 - description: Cloud (ACCA) - values: {0: cloud, 1: no_cloud} - cloud_fmask: - bits: 11 - description: Cloud (Fmask) - values: {0: cloud, 1: no_cloud} - cloud_shadow_acca: - bits: 12 - description: Cloud Shadow (ACCA) - values: {0: cloud_shadow, 1: no_cloud_shadow} - cloud_shadow_fmask: - bits: 13 - description: Cloud Shadow (Fmask) - values: {0: cloud_shadow, 1: no_cloud_shadow} - - ga_good_pixel: - bits: [13, 12, 11, 10, 9, 8, 7, 6, 5, 4, 3, 2, 1, 0] - description: Best Quality Pixel - values: - 16383: true - ---- - - -name: ls8_pq_legacy_scene -description: Landsat 8 PQ Legacy 25 metre -metadata_type: landsat_scene - -metadata: - platform: - code: LANDSAT_8 - instrument: - name: OLI_TIRS - product_type: legacy_pqa - format: - name: GeoTIFF - -measurements: - - name: 'pqa' - dtype: int16 - units: '1' - nodata: 0 - aliases: [qa_flags, quality] - flags_definition: - blue_saturated: - bits: 0 - description: Blue band is saturated - values: {0: true, 1: false} - green_saturated: - bits: 1 - description: Green band is saturated - values: {0: true, 1: false} - red_saturated: - bits: 2 - description: Red band is saturated - values: {0: true, 1: false} - nir_saturated: - bits: 3 - description: NIR band is saturated - values: {0: true, 1: false} - swir1_saturated: - bits: 4 - description: SWIR1 band is saturated - values: {0: true, 1: false} - tir1_saturated: - bits: 5 - description: Thermal Infrared 1 band is saturated - values: {0: true, 1: false} - tir2_saturated: - bits: 6 - description: Thermal Infrared 2 band is saturated - values: {0: true, 1: false} - swir2_saturated: - bits: 7 - description: SWIR2 band is saturated - values: {0: true, 1: false} - contiguous: - bits: 8 - description: All bands for this pixel contain non-null values - values: {0: false, 1: true} - land_sea: - bits: 9 - description: Land or Sea - values: {0: sea, 1: land} - cloud_acca: - bits: 10 - description: Cloud (ACCA) - values: {0: cloud, 1: no_cloud} - cloud_fmask: - bits: 11 - description: Cloud (Fmask) - values: {0: cloud, 1: no_cloud} - cloud_shadow_acca: - bits: 12 - description: Cloud Shadow (ACCA) - values: {0: cloud_shadow, 1: no_cloud_shadow} - cloud_shadow_fmask: - bits: 13 - description: Cloud Shadow (Fmask) - values: {0: cloud_shadow, 1: no_cloud_shadow} - - ga_good_pixel: - bits: [13, 12, 11, 10, 9, 8, 7, 6, 5, 4, 3, 2, 1, 0] - description: Best Quality Pixel - values: - 16383: true - - -# OLI variants for indexing - ---- -name: ls8_level1_oli_scene -description: Landsat 8 OLI Level 1 At-sensor Radiance 25 metre -metadata_type: landsat_l1_scene - -metadata: - platform: - code: LANDSAT_8 - instrument: - name: OLI - product_type: level1 - format: - name: GeoTIFF - ---- -name: ls8_nbar_oli_scene -description: Landsat 8 OLI NBAR 25 metre -metadata_type: eo - -metadata: - platform: - code: LANDSAT_8 - instrument: - name: OLI - product_type: nbar - format: - name: GeoTIFF - -measurements: - - name: '1' - dtype: int16 - nodata: -999 - units: '1' - aliases: [band_1, coastal_aerosol] - spectral_definition: - wavelength: [427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 459] - response: [7.3e-05, 0.000609, 0.001628, 0.003421, 0.008019, 0.024767, 0.085688, 0.254149, 0.517821, 0.765117, 0.908749, 0.958204, 0.977393, 0.98379, 0.989052, 0.986713, 0.993683, 0.993137, 1.0, 0.996969, 0.98278, 0.972692, 0.905808, 0.745606, 0.471329, 0.226412, 0.09286, 0.036603, 0.014537, 0.005829, 0.002414, 0.000984, 0.000255] - - name: '2' - dtype: int16 - nodata: -999 - units: '1' - aliases: [band_2, blue] - spectral_definition: - wavelength: [436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 524, 525, 526, 527, 528] - response: [1.0e-05, 6.1e-05, 0.000117, 0.000241, 0.000349, 0.000455, 0.000756, 0.001197, 0.00207, 0.003712, 0.006869, 0.013212, 0.02717, 0.058606, 0.130876, 0.27137, 0.493542, 0.723971, 0.85751, 0.894222, 0.903034, 0.910928, 0.90988, 0.899475, 0.897977, 0.889667, 0.883542, 0.877453, 0.881011, 0.874721, 0.879688, 0.886569, 0.891913, 0.88768, 0.861157, 0.848533, 0.840828, 0.828339, 0.844202, 0.865864, 0.868497, 0.890253, 0.912538, 0.910385, 0.918822, 0.931726, 0.931813, 0.954248, 0.955545, 0.96242, 0.956424, 0.953352, 0.978564, 0.989104, 0.985615, 0.989469, 0.982262, 0.968801, 0.967332, 0.976836, 0.988729, 0.980826, 0.967361, 0.954754, 0.964132, 0.966125, 0.966772, 0.981834, 0.98232, 0.965685, 0.963135, 0.972261, 0.996498, 1.0, 0.9556, 0.844893, 0.534592, 0.190738, 0.048329, 0.013894, 0.005328, 0.002611, 0.001557, 0.0011, 0.000785, 0.000516, 0.000321, 0.000162, 7.2e-05, 5.7e-05, 2.3e-05, 3.2e-05, -1.6e-05] - - name: '3' - dtype: int16 - nodata: -999 - units: '1' - aliases: [band_3, green] - spectral_definition: - wavelength: [512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 524, 525, 526, 527, 528, 529, 530, 531, 532, 533, 534, 535, 536, 537, 538, 539, 540, 541, 542, 543, 544, 545, 546, 547, 548, 549, 550, 551, 552, 553, 554, 555, 556, 557, 558, 559, 560, 561, 562, 563, 564, 565, 566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, 578, 579, 580, 581, 582, 583, 584, 585, 586, 587, 588, 589, 590, 591, 592, 593, 594, 595, 596, 597, 598, 599, 600, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610] - response: [-4.6e-05, 1.6e-05, 0.00011, 0.000247, 0.000362, 0.000648, 0.000935, 0.001332, 0.001816, 0.002515, 0.003446, 0.00488, 0.007024, 0.010441, 0.016247, 0.025513, 0.041451, 0.070551, 0.123444, 0.21168, 0.353885, 0.545856, 0.741205, 0.865225, 0.927396, 0.954627, 0.954163, 0.959215, 0.961328, 0.964902, 0.969873, 0.952489, 0.961397, 0.97827, 0.977533, 0.977001, 0.980884, 0.990784, 1.0, 0.992264, 0.982642, 0.983832, 0.977765, 0.965081, 0.957314, 0.946245, 0.947871, 0.959038, 0.966534, 0.977656, 0.966447, 0.953399, 0.958314, 0.970039, 0.978607, 0.983397, 0.98096, 0.974522, 0.967229, 0.979406, 0.978208, 0.975818, 0.974392, 0.979973, 0.968827, 0.969181, 0.967838, 0.982956, 0.979598, 0.963811, 0.968886, 0.983655, 0.986657, 0.974207, 0.946407, 0.904478, 0.809275, 0.684974, 0.525304, 0.345364, 0.190467, 0.087833, 0.035393, 0.014077, 0.005944, 0.002574, 0.001046, 0.000394, 8.5e-05, -8.4e-05, -0.000194, -0.000234, -0.000292, -0.000307, -0.000343, -0.000348, -0.000329, -0.000351, -0.000317] - - name: '4' - dtype: int16 - nodata: -999 - units: '1' - aliases: [band_4, red] - spectral_definition: - wavelength: [625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 677, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691] - response: [-0.000342, 0.00027, 0.000895, 0.00185, 0.003648, 0.007197, 0.014515, 0.030432, 0.066861, 0.148518, 0.299778, 0.526812, 0.764443, 0.905473, 0.947949, 0.950823, 0.947418, 0.951831, 0.962705, 0.975075, 0.984173, 0.983613, 0.983434, 0.982911, 0.973636, 0.959441, 0.955641, 0.955548, 0.953337, 0.956628, 0.981688, 1.0, 0.992388, 0.984615, 0.981568, 0.97696, 0.97298, 0.98108, 0.996804, 0.992142, 0.980678, 0.964002, 0.962154, 0.970778, 0.96718, 0.966928, 0.949928, 0.848855, 0.609359, 0.31635, 0.123946, 0.046033, 0.017702, 0.007333, 0.003205, 0.001402, 0.000554, 0.000117, -0.000122, -0.000289, -0.000376, -0.000396, -0.000458, -0.000488, -0.000457, -0.000429, -0.000417] - - name: '5' - dtype: int16 - nodata: -999 - units: '1' - aliases: [band_5, nir] - spectral_definition: - wavelength: [829, 830, 831, 832, 833, 834, 835, 836, 837, 838, 839, 840, 841, 842, 843, 844, 845, 846, 847, 848, 849, 850, 851, 852, 853, 854, 855, 856, 857, 858, 859, 860, 861, 862, 863, 864, 865, 866, 867, 868, 869, 870, 871, 872, 873, 874, 875, 876, 877, 878, 879, 880, 881, 882, 883, 884, 885, 886, 887, 888, 889, 890, 891, 892, 893, 894, 895, 896, 897, 898, 899, 900] - response: [-3.4e-05, 1.1e-05, 5.0e-05, 0.0001, 0.000239, 0.000314, 0.000495, 0.000719, 0.000986, 0.001445, 0.002107, 0.00316, 0.004744, 0.007059, 0.0109, 0.017346, 0.028332, 0.048191, 0.084363, 0.145365, 0.249733, 0.403526, 0.582623, 0.745037, 0.890315, 0.960215, 0.986833, 0.973133, 0.980606, 0.99612, 1.0, 0.989777, 0.980733, 0.975935, 0.972043, 0.957357, 0.951209, 0.947044, 0.953162, 0.951499, 0.94845, 0.940094, 0.950632, 0.956079, 0.96646, 0.969821, 0.93661, 0.891066, 0.788733, 0.63532, 0.448364, 0.288847, 0.174619, 0.100343, 0.058265, 0.034532, 0.02072, 0.01244, 0.007601, 0.004702, 0.002944, 0.00187, 0.001192, 0.000743, 0.000423, 0.000241, 0.000116, 4.4e-05, -1.3e-05, -5.0e-05, -8.4e-05, -0.0001] - - name: '6' - dtype: int16 - nodata: -999 - units: '1' - aliases: [band_6, swir1] - spectral_definition: - wavelength: [1515, 1516, 1517, 1518, 1519, 1520, 1521, 1522, 1523, 1524, 1525, 1526, 1527, 1528, 1529, 1530, 1531, 1532, 1533, 1534, 1535, 1536, 1537, 1538, 1539, 1540, 1541, 1542, 1543, 1544, 1545, 1546, 1547, 1548, 1549, 1550, 1551, 1552, 1553, 1554, 1555, 1556, 1557, 1558, 1559, 1560, 1561, 1562, 1563, 1564, 1565, 1566, 1567, 1568, 1569, 1570, 1571, 1572, 1573, 1574, 1575, 1576, 1577, 1578, 1579, 1580, 1581, 1582, 1583, 1584, 1585, 1586, 1587, 1588, 1589, 1590, 1591, 1592, 1593, 1594, 1595, 1596, 1597, 1598, 1599, 1600, 1601, 1602, 1603, 1604, 1605, 1606, 1607, 1608, 1609, 1610, 1611, 1612, 1613, 1614, 1615, 1616, 1617, 1618, 1619, 1620, 1621, 1622, 1623, 1624, 1625, 1626, 1627, 1628, 1629, 1630, 1631, 1632, 1633, 1634, 1635, 1636, 1637, 1638, 1639, 1640, 1641, 1642, 1643, 1644, 1645, 1646, 1647, 1648, 1649, 1650, 1651, 1652, 1653, 1654, 1655, 1656, 1657, 1658, 1659, 1660, 1661, 1662, 1663, 1664, 1665, 1666, 1667, 1668, 1669, 1670, 1671, 1672, 1673, 1674, 1675, 1676, 1677, 1678, 1679, 1680, 1681, 1682, 1683, 1684, 1685, 1686, 1687, 1688, 1689, 1690, 1691, 1692, 1693, 1694, 1695, 1696, 1697] - 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---- -name: ls8_nbart_oli_scene -description: Landsat 8 OLI NBART 25 metre -metadata_type: landsat_scene - -metadata: - platform: - code: LANDSAT_8 - instrument: - name: OLI - product_type: nbart - format: - name: GeoTIFF - -measurements: - - name: '1' - dtype: int16 - nodata: -999 - units: '1' - aliases: [band_1, coastal_aerosol] - spectral_definition: - wavelength: [427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 459] - response: [7.3e-05, 0.000609, 0.001628, 0.003421, 0.008019, 0.024767, 0.085688, 0.254149, 0.517821, 0.765117, 0.908749, 0.958204, 0.977393, 0.98379, 0.989052, 0.986713, 0.993683, 0.993137, 1.0, 0.996969, 0.98278, 0.972692, 0.905808, 0.745606, 0.471329, 0.226412, 0.09286, 0.036603, 0.014537, 0.005829, 0.002414, 0.000984, 0.000255] - - name: '2' - dtype: int16 - nodata: -999 - units: '1' - aliases: [band_2, blue] - spectral_definition: - wavelength: [436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 524, 525, 526, 527, 528] - 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- name: '5' - dtype: int16 - nodata: -999 - units: '1' - aliases: [band_5, nir] - spectral_definition: - wavelength: [829, 830, 831, 832, 833, 834, 835, 836, 837, 838, 839, 840, 841, 842, 843, 844, 845, 846, 847, 848, 849, 850, 851, 852, 853, 854, 855, 856, 857, 858, 859, 860, 861, 862, 863, 864, 865, 866, 867, 868, 869, 870, 871, 872, 873, 874, 875, 876, 877, 878, 879, 880, 881, 882, 883, 884, 885, 886, 887, 888, 889, 890, 891, 892, 893, 894, 895, 896, 897, 898, 899, 900] - response: [-3.4e-05, 1.1e-05, 5.0e-05, 0.0001, 0.000239, 0.000314, 0.000495, 0.000719, 0.000986, 0.001445, 0.002107, 0.00316, 0.004744, 0.007059, 0.0109, 0.017346, 0.028332, 0.048191, 0.084363, 0.145365, 0.249733, 0.403526, 0.582623, 0.745037, 0.890315, 0.960215, 0.986833, 0.973133, 0.980606, 0.99612, 1.0, 0.989777, 0.980733, 0.975935, 0.972043, 0.957357, 0.951209, 0.947044, 0.953162, 0.951499, 0.94845, 0.940094, 0.950632, 0.956079, 0.96646, 0.969821, 0.93661, 0.891066, 0.788733, 0.63532, 0.448364, 0.288847, 0.174619, 0.100343, 0.058265, 0.034532, 0.02072, 0.01244, 0.007601, 0.004702, 0.002944, 0.00187, 0.001192, 0.000743, 0.000423, 0.000241, 0.000116, 4.4e-05, -1.3e-05, -5.0e-05, -8.4e-05, -0.0001] - - name: '6' - dtype: int16 - nodata: -999 - units: '1' - aliases: [band_6, swir1] - spectral_definition: - wavelength: [1515, 1516, 1517, 1518, 1519, 1520, 1521, 1522, 1523, 1524, 1525, 1526, 1527, 1528, 1529, 1530, 1531, 1532, 1533, 1534, 1535, 1536, 1537, 1538, 1539, 1540, 1541, 1542, 1543, 1544, 1545, 1546, 1547, 1548, 1549, 1550, 1551, 1552, 1553, 1554, 1555, 1556, 1557, 1558, 1559, 1560, 1561, 1562, 1563, 1564, 1565, 1566, 1567, 1568, 1569, 1570, 1571, 1572, 1573, 1574, 1575, 1576, 1577, 1578, 1579, 1580, 1581, 1582, 1583, 1584, 1585, 1586, 1587, 1588, 1589, 1590, 1591, 1592, 1593, 1594, 1595, 1596, 1597, 1598, 1599, 1600, 1601, 1602, 1603, 1604, 1605, 1606, 1607, 1608, 1609, 1610, 1611, 1612, 1613, 1614, 1615, 1616, 1617, 1618, 1619, 1620, 1621, 1622, 1623, 1624, 1625, 1626, 1627, 1628, 1629, 1630, 1631, 1632, 1633, 1634, 1635, 1636, 1637, 1638, 1639, 1640, 1641, 1642, 1643, 1644, 1645, 1646, 1647, 1648, 1649, 1650, 1651, 1652, 1653, 1654, 1655, 1656, 1657, 1658, 1659, 1660, 1661, 1662, 1663, 1664, 1665, 1666, 1667, 1668, 1669, 1670, 1671, 1672, 1673, 1674, 1675, 1676, 1677, 1678, 1679, 1680, 1681, 1682, 1683, 1684, 1685, 1686, 1687, 1688, 1689, 1690, 1691, 1692, 1693, 1694, 1695, 1696, 1697] - response: [-1.6e-05, 6.7e-05, 0.000151, 0.000249, 0.000348, 0.000466, 0.000585, 0.000758, 0.000932, 0.00115, 0.001369, 0.001613, 0.001859, 0.002172, 0.002488, 0.002881, 0.003277, 0.003772, 0.004271, 0.004898, 0.005528, 0.006421, 0.007319, 0.008459, 0.009606, 0.010989, 0.012372, 0.014303, 0.016248, 0.019029, 0.021831, 0.02589, 0.029952, 0.035171, 0.040434, 0.047864, 0.055352, 0.065732, 0.076166, 0.089024, 0.101893, 0.12015, 0.138642, 0.163127, 0.187803, 0.220261, 0.252894, 0.291359, 0.329939, 0.375648, 0.42147, 0.47356, 0.525681, 0.578787, 0.631645, 0.676683, 0.721282, 0.75477, 0.788248, 0.821155, 0.854065, 0.87337, 0.89183, 0.899817, 0.907252, 0.913009, 0.918685, 0.922953, 0.927163, 0.92686, 0.926413, 0.925059, 0.923683, 0.923953, 0.924259, 0.922828, 0.921383, 0.922061, 0.922756, 0.924648, 0.926605, 0.934552, 0.942525, 0.944351, 0.945872, 0.946175, 0.946432, 0.947006, 0.947589, 0.950194, 0.952859, 0.951303, 0.94967, 0.953047, 0.956494, 0.959047, 0.961545, 0.960048, 0.958335, 0.959835, 0.96147, 0.960857, 0.960175, 0.960813, 0.961486, 0.964703, 0.967943, 0.969314, 0.970589, 0.973713, 0.976906, 0.9791, 0.981258, 0.981285, 0.981372, 0.988609, 0.995869, 0.998021, 1.0, 0.999848, 0.999642, 0.99659, 0.993439, 0.986217, 0.978989, 0.967125, 0.95512, 0.936199, 0.917239, 0.879424, 0.840967, 0.796545, 0.751893, 0.694313, 0.636542, 0.573232, 0.509946, 0.451966, 0.39403, 0.34275, 0.291752, 0.251309, 0.211153, 0.180823, 0.15054, 0.128463, 0.106664, 0.090735, 0.074941, 0.06379, 0.052752, 0.045028, 0.03731, 0.031821, 0.02635, 0.022504, 0.018724, 0.016045, 0.013394, 0.011483, 0.009587, 0.008227, 0.006882, 0.00591, 0.00494, 0.004257, 0.003576, 0.003055, 0.002541, 0.00216, 0.001781, 0.001512, 0.001244, 0.00104, 0.000837, 0.000677, 0.000517, 0.000409, 0.000301, 0.000206, 0.000112, 4.0e-05, -3.1e-05] - - name: '7' - dtype: int16 - nodata: -999 - units: '1' - aliases: [band_7, swir2] - spectral_definition: - wavelength: [2037, 2038, 2039, 2040, 2041, 2042, 2043, 2044, 2045, 2046, 2047, 2048, 2049, 2050, 2051, 2052, 2053, 2054, 2055, 2056, 2057, 2058, 2059, 2060, 2061, 2062, 2063, 2064, 2065, 2066, 2067, 2068, 2069, 2070, 2071, 2072, 2073, 2074, 2075, 2076, 2077, 2078, 2079, 2080, 2081, 2082, 2083, 2084, 2085, 2086, 2087, 2088, 2089, 2090, 2091, 2092, 2093, 2094, 2095, 2096, 2097, 2098, 2099, 2100, 2101, 2102, 2103, 2104, 2105, 2106, 2107, 2108, 2109, 2110, 2111, 2112, 2113, 2114, 2115, 2116, 2117, 2118, 2119, 2120, 2121, 2122, 2123, 2124, 2125, 2126, 2127, 2128, 2129, 2130, 2131, 2132, 2133, 2134, 2135, 2136, 2137, 2138, 2139, 2140, 2141, 2142, 2143, 2144, 2145, 2146, 2147, 2148, 2149, 2150, 2151, 2152, 2153, 2154, 2155, 2156, 2157, 2158, 2159, 2160, 2161, 2162, 2163, 2164, 2165, 2166, 2167, 2168, 2169, 2170, 2171, 2172, 2173, 2174, 2175, 2176, 2177, 2178, 2179, 2180, 2181, 2182, 2183, 2184, 2185, 2186, 2187, 2188, 2189, 2190, 2191, 2192, 2193, 2194, 2195, 2196, 2197, 2198, 2199, 2200, 2201, 2202, 2203, 2204, 2205, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2213, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2233, 2234, 2235, 2236, 2237, 2238, 2239, 2240, 2241, 2242, 2243, 2244, 2245, 2246, 2247, 2248, 2249, 2250, 2251, 2252, 2253, 2254, 2255, 2256, 2257, 2258, 2259, 2260, 2261, 2262, 2263, 2264, 2265, 2266, 2267, 2268, 2269, 2270, 2271, 2272, 2273, 2274, 2275, 2276, 2277, 2278, 2279, 2280, 2281, 2282, 2283, 2284, 2285, 2286, 2287, 2288, 2289, 2290, 2291, 2292, 2293, 2294, 2295, 2296, 2297, 2298, 2299, 2300, 2301, 2302, 2303, 2304, 2305, 2306, 2307, 2308, 2309, 2310, 2311, 2312, 2313, 2314, 2315, 2316, 2317, 2318, 2319, 2320, 2321, 2322, 2323, 2324, 2325, 2326, 2327, 2328, 2329, 2330, 2331, 2332, 2333, 2334, 2335, 2336, 2337, 2338, 2339, 2340, 2341, 2342, 2343, 2344, 2345, 2346, 2347, 2348, 2349, 2350, 2351, 2352, 2353, 2354, 2355] - response: [-1.0e-05, 3.7e-05, 8.3e-05, 0.000131, 0.000179, 0.00024, 0.000305, 0.000368, 0.00043, 0.000512, 0.000599, 0.000704, 0.000814, 0.000947, 0.001085, 0.001222, 0.00136, 0.001546, 0.001745, 0.001964, 0.002187, 0.002439, 0.002696, 0.00301, 0.003339, 0.003733, 0.004141, 0.004627, 0.005137, 0.005728, 0.006337, 0.007139, 0.007996, 0.008903, 0.009824, 0.011005, 0.012261, 0.01361, 0.014987, 0.016872, 0.018899, 0.021, 0.023121, 0.025897, 0.028847, 0.032071, 0.035363, 0.040206, 0.045432, 0.050903, 0.056429, 0.06327, 0.070409, 0.079382, 0.088907, 0.10064, 0.11283, 0.128292, 0.144668, 0.162055, 0.179714, 0.20278, 0.227234, 0.253732, 0.280925, 0.311347, 0.342526, 0.377044, 0.412621, 0.45047, 0.488816, 0.522458, 0.554715, 0.593227, 0.633521, 0.663067, 0.689664, 0.722284, 0.756529, 0.776463, 0.792667, 0.813716, 0.836001, 0.846344, 0.853714, 0.867845, 0.883615, 0.886411, 0.886127, 0.895232, 0.906527, 0.909739, 0.911091, 0.917985, 0.926131, 0.929693, 0.932227, 0.936544, 0.941406, 0.942571, 0.942952, 0.943112, 0.943194, 0.945168, 0.947537, 0.948776, 0.949694, 0.949643, 0.9494, 0.952551, 0.956635, 0.953083, 0.947423, 0.949094, 0.952773, 0.950874, 0.947477, 0.947014, 0.947085, 0.951812, 0.957717, 0.953332, 0.946412, 0.947778, 0.951119, 0.951641, 0.951518, 0.948644, 0.944956, 0.942515, 0.940311, 0.9434, 0.947923, 0.94501, 0.940213, 0.938737, 0.93806, 0.941859, 0.947019, 0.946554, 0.944482, 0.947414, 0.951661, 0.949283, 0.945318, 0.939939, 0.934142, 0.935493, 0.93882, 0.939253, 0.938955, 0.934675, 0.929162, 0.927085, 0.925692, 0.930508, 0.936899, 0.933908, 0.927984, 0.930981, 0.936472, 0.935776, 0.933523, 0.935132, 0.937592, 0.946217, 0.956567, 0.955661, 0.951991, 0.956666, 0.963135, 0.964442, 0.964365, 0.963523, 0.962434, 0.962905, 0.963685, 0.962473, 0.960741, 0.959239, 0.957814, 0.957781, 0.958041, 0.953274, 0.94716, 0.951706, 0.958833, 0.960212, 0.960339, 0.954785, 0.947696, 0.951965, 0.95906, 0.960554, 0.960764, 0.95575, 0.949261, 0.953245, 0.95997, 0.963736, 0.966786, 0.964315, 0.960173, 0.965473, 0.973416, 0.977637, 0.980904, 0.98276, 0.984155, 0.984693, 0.985056, 0.991486, 0.9996, 0.997654, 0.993153, 0.992469, 0.992675, 0.995894, 1.0, 0.999279, 0.997261, 0.994356, 0.991127, 0.987747, 0.984349, 0.986037, 0.989132, 0.984536, 0.978024, 0.975019, 0.972794, 0.974168, 0.97654, 0.976199, 0.975206, 0.974409, 0.973662, 0.967502, 0.959895, 0.956943, 0.955095, 0.955085, 0.955588, 0.947195, 0.93665, 0.922405, 0.907109, 0.89494, 0.883588, 0.855489, 0.823876, 0.78488, 0.744025, 0.69852, 0.651673, 0.602539, 0.552647, 0.502693, 0.452698, 0.403993, 0.355569, 0.315712, 0.27826, 0.244645, 0.212213, 0.186151, 0.161749, 0.141435, 0.122015, 0.106531, 0.092029, 0.080268, 0.069276, 0.060703, 0.052702, 0.046332, 0.040405, 0.035634, 0.031213, 0.027516, 0.024, 0.021262, 0.018688, 0.016562, 0.014545, 0.01293, 0.011426, 0.010155, 0.008959, 0.007992, 0.007088, 0.006348, 0.005643, 0.005019, 0.004415, 0.003903, 0.003421, 0.003025, 0.002651, 0.00234, 0.002047, 0.001795, 0.001554, 0.001345, 0.001145, 0.000974, 0.000811, 0.00068, 0.00056, 0.00044, 0.00032, 0.000217, 0.000119, 2.8e-05, -6.2e-05, -0.000134, -0.000202, -0.000263, -0.000322] - ---- -name: ls8_pq_oli_scene -description: Landsat 8 OLI PQ 25 metre -metadata_type: landsat_scene - -metadata: - platform: - code: LANDSAT_8 - instrument: - name: OLI - product_type: pqa - format: - name: GeoTIFF - - -measurements: - - name: 'pqa' - dtype: int16 - units: '1' - nodata: 0 - aliases: [qa_flags, quality] - flags_definition: - blue_saturated: - bits: 0 - description: Blue band is saturated - values: {0: true, 1: false} - green_saturated: - bits: 1 - description: Green band is saturated - values: {0: true, 1: false} - red_saturated: - bits: 2 - description: Red band is saturated - values: {0: true, 1: false} - nir_saturated: - bits: 3 - description: NIR band is saturated - values: {0: true, 1: false} - swir1_saturated: - bits: 4 - description: SWIR1 band is saturated - values: {0: true, 1: false} - tir1_saturated: - bits: 5 - description: Thermal Infrared 1 band is saturated - values: {0: true, 1: false} - tir2_saturated: - bits: 6 - description: Thermal Infrared 2 band is saturated - values: {0: true, 1: false} - swir2_saturated: - bits: 7 - description: SWIR2 band is saturated - values: {0: true, 1: false} - contiguous: - bits: 8 - description: All bands for this pixel contain non-null values - values: {0: false, 1: true} - land_sea: - bits: 9 - description: Land or Sea - values: {0: sea, 1: land} - cloud_acca: - bits: 10 - description: Cloud (ACCA) - values: {0: cloud, 1: no_cloud} - cloud_fmask: - bits: 11 - description: Cloud (Fmask) - values: {0: cloud, 1: no_cloud} - cloud_shadow_acca: - bits: 12 - description: Cloud Shadow (ACCA) - values: {0: cloud_shadow, 1: no_cloud_shadow} - cloud_shadow_fmask: - bits: 13 - description: Cloud Shadow (Fmask) - values: {0: cloud_shadow, 1: no_cloud_shadow} - - ga_good_pixel: - bits: [13, 12, 11, 10, 9, 8, 7, 6, 5, 4, 3, 2, 1, 0] - description: Best Quality Pixel - values: - 16383: true - ---- -name: ls8_pq_legacy_oli_scene -description: Landsat 8 OLI PQ Legacy 25 metre -metadata_type: landsat_scene - -metadata: - platform: - code: LANDSAT_8 - instrument: - name: OLI - product_type: legacy_pqa - format: - name: GeoTIFF - - -measurements: - - name: 'pqa' - dtype: int16 - units: '1' - nodata: 0 - aliases: [qa_flags, quality] - flags_definition: - blue_saturated: - bits: 0 - description: Blue band is saturated - values: {0: true, 1: false} - green_saturated: - bits: 1 - description: Green band is saturated - values: {0: true, 1: false} - red_saturated: - bits: 2 - description: Red band is saturated - values: {0: true, 1: false} - nir_saturated: - bits: 3 - description: NIR band is saturated - values: {0: true, 1: false} - swir1_saturated: - bits: 4 - description: SWIR1 band is saturated - values: {0: true, 1: false} - tir1_saturated: - bits: 5 - description: Thermal Infrared 1 band is saturated - values: {0: true, 1: false} - tir2_saturated: - bits: 6 - description: Thermal Infrared 2 band is saturated - values: {0: true, 1: false} - swir2_saturated: - bits: 7 - description: SWIR2 band is saturated - values: {0: true, 1: false} - contiguous: - bits: 8 - description: All bands for this pixel contain non-null values - values: {0: false, 1: true} - land_sea: - bits: 9 - description: Land or Sea - values: {0: sea, 1: land} - cloud_acca: - bits: 10 - description: Cloud (ACCA) - values: {0: cloud, 1: no_cloud} - cloud_fmask: - bits: 11 - description: Cloud (Fmask) - values: {0: cloud, 1: no_cloud} - cloud_shadow_acca: - bits: 12 - description: Cloud Shadow (ACCA) - values: {0: cloud_shadow, 1: no_cloud_shadow} - cloud_shadow_fmask: - bits: 13 - description: Cloud Shadow (Fmask) - values: {0: cloud_shadow, 1: no_cloud_shadow} - - ga_good_pixel: - bits: [13, 12, 11, 10, 9, 8, 7, 6, 5, 4, 3, 2, 1, 0] - description: Best Quality Pixel - values: - 16383: true diff --git a/digitalearthau/config/products/mangrove_cover.odc-product.yaml b/digitalearthau/config/products/mangrove_cover.odc-product.yaml deleted file mode 100644 index 7a5fa5d0..00000000 --- a/digitalearthau/config/products/mangrove_cover.odc-product.yaml +++ /dev/null @@ -1,41 +0,0 @@ -name: mangrove_extent_cover_albers -description: Mangroves conver extent and classes 25 metre, 100km tile, Australian Albers Equal Area projection (EPSG:3577) - -metadata_type: eo - -metadata: - product_type: mangrove_extent_cover - statistics: - period: '1y' - format: - name: NetCDF - platform: - code: LANDSAT_5,LANDSAT_7,LANDSAT_8 - instrument: - name: TM,ETM+,OLI - -storage: - driver: NetCDF CF - crs: EPSG:3577 - tile_size: - x: 100000.0 - y: 100000.0 - resolution: - x: 25 - y: -25 - chunking: - x: 200 - y: 200 - time: 1 - dimension_order: [time, y, x] - -measurements: - - name: extent - dtype: int16 - nodata: 0 - units: '1' - - - name: canopy_cover_class - dtype: int16 - nodata: 0 - units: '1' diff --git a/digitalearthau/config/products/pq_count_annual_summary.odc-product.yaml b/digitalearthau/config/products/pq_count_annual_summary.odc-product.yaml deleted file mode 100644 index 5313b051..00000000 --- a/digitalearthau/config/products/pq_count_annual_summary.odc-product.yaml +++ /dev/null @@ -1,37 +0,0 @@ -name: pq_count_annual_summary -description: Pixel Quality Statistics 25m - -metadata_type: eo - -metadata: - product_type: pq_count - statistics: - period: '12m' - format: - name: NetCDF - -storage: - driver: NetCDF CF - crs: EPSG:3577 - tile_size: - x: 100000.0 - y: 100000.0 - resolution: - x: 25 - y: -25 - chunking: - x: 200 - y: 200 - time: 1 - dimension_order: [time, y, x] - -measurements: - - name: clear_observation_count - dtype: int16 - nodata: -1 - units: '1' - - - name: total_observation_count - dtype: int16 - nodata: -1 - units: '1' diff --git a/digitalearthau/config/products/pq_count_summary.odc-product.yaml b/digitalearthau/config/products/pq_count_summary.odc-product.yaml deleted file mode 100644 index 87af8cb3..00000000 --- a/digitalearthau/config/products/pq_count_summary.odc-product.yaml +++ /dev/null @@ -1,37 +0,0 @@ -name: pq_count_summary -description: Pixel Quality Statistics 25m - -metadata_type: eo - -metadata: - product_type: pq_count - statistics: - period: '*' - format: - name: NetCDF - -storage: - driver: NetCDF CF - crs: EPSG:3577 - tile_size: - x: 100000.0 - y: 100000.0 - resolution: - x: 25 - y: -25 - chunking: - x: 200 - y: 200 - time: 1 - dimension_order: [time, y, x] - -measurements: - - name: clear_observation_count - dtype: int16 - nodata: -1 - units: '1' - - - name: total_observation_count - dtype: int16 - nodata: -1 - units: '1' diff --git a/digitalearthau/config/products/s2_granules.odc-product.yaml b/digitalearthau/config/products/s2_granules.odc-product.yaml deleted file mode 100644 index 02a3e2f5..00000000 --- a/digitalearthau/config/products/s2_granules.odc-product.yaml +++ /dev/null @@ -1,1073 +0,0 @@ -description: Sentinel-2A Level1C - Ortho Rectified Top of Atmosphere Reflectance -measurements: -- aliases: [band_01, B01, Band1] - dtype: uint16 - name: B01 - nodata: 0 - spectral_definition: - response: [0.015297, 0.067133, 0.19593, 0.357242, 0.460571, 0.511598, 0.551051, - 0.587385, 0.613478, 0.650014, 0.699199, 0.74543, 0.792047, 0.862824, 0.947307, - 0.993878, 1.0, 0.990178, 0.972897, 0.957042, 0.956726, 0.922389, 0.723933, 0.388302, - 0.14596, 0.051814, 0.017459, 0.000303] - wavelength: [430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, - 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457] - units: '1' -- aliases: [band_02, B02, Band2] - dtype: uint16 - name: B02 - nodata: 0 - spectral_definition: - response: [0.001206, 0.00204, 0.002623, 0.002738, 0.002746, 0.002076, 0.003246, - 0.002224, 0.002789, 0.003127, 0.002377, 0.003776, 0.002856, 0.003063, 0.00607, - 0.009028, 0.019547, 0.038955, 0.084088, 0.176255, 0.292197, 0.364612, 0.382418, - 0.385789, 0.393447, 0.400158, 0.410291, 0.424686, 0.449286, 0.481594, 0.505323, - 0.523406, 0.529543, 0.534688, 0.533786, 0.534656, 0.5381, 0.543691, 0.557717, - 0.578585, 0.601967, 0.616037, 0.621092, 0.613597, 0.596062, 0.575863, 0.558063, - 0.546131, 0.542099, 0.553602, 0.571684, 0.598269, 0.633236, 0.67337, 0.711752, - 0.738396, 0.758249, 0.768325, 0.773367, 0.780468, 0.788363, 0.795449, 0.809151, - 0.824011, 0.837709, 0.844983, 0.847328, 0.840111, 0.825797, 0.804778, 0.78694, - 0.771578, 0.761923, 0.765487, 0.781682, 0.810031, 0.850586, 0.901671, 0.95467, - 0.987257, 1.0, 0.986389, 0.908308, 0.724, 0.478913, 0.286992, 0.169976, 0.102833, - 0.065163, 0.04116, 0.02508, 0.013112, 0.002585, 0.001095, 0.000308, 0.000441, - 0.0, 0.0, 0.000443] - wavelength: [440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, - 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, - 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, - 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, - 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 515, 516, - 517, 518, 519, 520, 521, 522, 523, 524, 525, 526, 527, 528, 529, 530, 531, 532, - 533, 534, 535, 536, 537, 538] - units: '1' -- aliases: [band_03, B03, Band3] - dtype: uint16 - name: B03 - nodata: 0 - spectral_definition: - response: [0.00084, 0.016372, 0.037688, 0.080665, 0.169509, 0.341374, 0.573031, - 0.746711, 0.828036, 0.868228, 0.888565, 0.891572, 0.87815, 0.860271, 0.843698, - 0.834035, 0.832617, 0.844968, 0.867734, 0.897361, 0.933938, 0.966923, 0.990762, - 1.0, 0.997812, 0.981107, 0.947088, 0.907183, 0.868656, 0.837622, 0.81291, 0.792434, - 0.7851, 0.789606, 0.807011, 0.830458, 0.846433, 0.858402, 0.85799, 0.799824, - 0.62498, 0.386994, 0.200179, 0.098293, 0.042844, 0.016512] - wavelength: [537, 538, 539, 540, 541, 542, 543, 544, 545, 546, 547, 548, 549, - 550, 551, 552, 553, 554, 555, 556, 557, 558, 559, 560, 561, 562, 563, 564, 565, - 566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, 578, 579, 580, 581, - 582] - units: '1' -- aliases: [band_04, B04, Band4] - dtype: uint16 - name: B04 - nodata: 0 - spectral_definition: - response: [0.002584, 0.034529, 0.14997, 0.464826, 0.817746, 0.965324, 0.983869, - 0.9969, 1.0, 0.995449, 0.991334, 0.977215, 0.936802, 0.873776, 0.814166, 0.776669, - 0.764864, 0.775091, 0.801359, 0.830828, 0.857112, 0.883581, 0.90895, 0.934759, - 0.955931, 0.96811, 0.973219, 0.971572, 0.969003, 0.965712, 0.960481, 0.944811, - 0.884152, 0.706167, 0.422967, 0.189853, 0.063172, 0.020615, 0.002034] - wavelength: [646, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, - 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, - 675, 676, 677, 678, 679, 680, 681, 682, 683, 684] - units: '1' -- aliases: [band_05, B05, Band5] - dtype: uint16 - name: B05 - nodata: 0 - spectral_definition: - response: [0.001187, 0.04126, 0.167712, 0.478496, 0.833878, 0.985479, 1.0, 0.999265, - 0.993239, 0.982416, 0.965583, 0.945953, 0.924699, 0.902399, 0.885582, 0.861231, - 0.757197, 0.521268, 0.196706, 0.036825] - wavelength: [694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 706, - 707, 708, 709, 710, 711, 712, 713] - units: '1' -- aliases: [band_06, B06, Band6] - dtype: uint16 - name: B06 - nodata: 0 - spectral_definition: - response: [0.005331, 0.085006, 0.345714, 0.750598, 0.920265, 0.917917, 0.934211, - 0.957861, 0.975829, 0.981932, 0.981518, 0.993406, 1.0, 0.982579, 0.962584, 0.854908, - 0.506722, 0.135357, 0.013438] - wavelength: [731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, - 744, 745, 746, 747, 748, 749] - units: '1' -- aliases: [band_07, B07, Band7] - dtype: uint16 - name: B07 - nodata: 0 - spectral_definition: - response: [0.001595, 0.014731, 0.067032, 0.199495, 0.422803, 0.694015, 0.898494, - 0.983173, 0.994759, 1.0, 0.994913, 0.964657, 0.908117, 0.846898, 0.802091, 0.778839, - 0.777241, 0.789523, 0.800984, 0.802916, 0.791711, 0.757695, 0.677951, 0.536855, - 0.364033, 0.193498, 0.077219, 0.019707, 0.003152] - wavelength: [769, 770, 771, 772, 773, 774, 775, 776, 777, 778, 779, 780, 781, - 782, 783, 784, 785, 786, 787, 788, 789, 790, 791, 792, 793, 794, 795, 796, 797] - units: '1' -- aliases: [band_08, B08, Band8] - dtype: uint16 - name: B08 - nodata: 0 - spectral_definition: - response: [0.000451, 0.007614, 0.019072, 0.033498, 0.056536, 0.087148, 0.13246, - 0.203436, 0.314068, 0.450085, 0.587433, 0.714518, 0.81829, 0.902932, 0.960732, - 0.993723, 1.0, 0.985213, 0.958376, 0.93655, 0.925816, 0.930376, 0.941281, 0.953344, - 0.962183, 0.965631, 0.963105, 0.959009, 0.951205, 0.945147, 0.943136, 0.945814, - 0.945357, 0.943762, 0.937084, 0.92789, 0.915897, 0.900979, 0.881577, 0.86216, - 0.8432, 0.822684, 0.801819, 0.776911, 0.755632, 0.737893, 0.722217, 0.708669, - 0.698416, 0.690211, 0.682257, 0.681494, 0.682649, 0.678491, 0.67595, 0.671304, - 0.665538, 0.660812, 0.658739, 0.65831, 0.66407, 0.672731, 0.685501, 0.701159, - 0.720686, 0.742292, 0.75953, 0.776608, 0.784061, 0.78772, 0.787693, 0.783525, - 0.776161, 0.768339, 0.759264, 0.745943, 0.733022, 0.720589, 0.706663, 0.69087, - 0.675896, 0.661558, 0.649339, 0.638008, 0.627424, 0.618963, 0.610945, 0.604322, - 0.597408, 0.591724, 0.586961, 0.582746, 0.581202, 0.57948, 0.580197, 0.582505, - 0.585308, 0.589481, 0.592827, 0.596749, 0.601372, 0.603234, 0.605476, 0.608972, - 0.613463, 0.618715, 0.626841, 0.637436, 0.648791, 0.659233, 0.66734, 0.668624, - 0.659924, 0.641666, 0.615841, 0.583567, 0.552076, 0.526407, 0.507116, 0.49653, - 0.499119, 0.512088, 0.529093, 0.542739, 0.537964, 0.495953, 0.419305, 0.326791, - 0.231085, 0.14854, 0.089683, 0.054977, 0.033246, 0.019774, 0.007848, 0.001286] - wavelength: [773, 774, 775, 776, 777, 778, 779, 780, 781, 782, 783, 784, 785, - 786, 787, 788, 789, 790, 791, 792, 793, 794, 795, 796, 797, 798, 799, 800, 801, - 802, 803, 804, 805, 806, 807, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, - 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, 828, 829, 830, 831, 832, 833, - 834, 835, 836, 837, 838, 839, 840, 841, 842, 843, 844, 845, 846, 847, 848, 849, - 850, 851, 852, 853, 854, 855, 856, 857, 858, 859, 860, 861, 862, 863, 864, 865, - 866, 867, 868, 869, 870, 871, 872, 873, 874, 875, 876, 877, 878, 879, 880, 881, - 882, 883, 884, 885, 886, 887, 888, 889, 890, 891, 892, 893, 894, 895, 896, 897, - 898, 899, 900, 901, 902, 903, 904, 905, 906, 907, 908] - units: '1' -- aliases: [band_8A, B8A, Band8A] - dtype: uint16 - name: B8A - nodata: 0 - spectral_definition: - response: [0.001651, 0.013242, 0.02471, 0.051379, 0.104944, 0.216577, 0.384865, - 0.585731, 0.774481, 0.87843, 0.914944, 0.922574, 0.926043, 0.929676, 0.935962, - 0.946583, 0.955792, 0.965458, 0.974461, 0.97988, 0.983325, 0.982881, 0.988474, - 1.0, 0.999626, 0.921005, 0.728632, 0.472189, 0.238082, 0.106955, 0.046096, 0.022226, - 0.008819, 0.000455] - wavelength: [848, 849, 850, 851, 852, 853, 854, 855, 856, 857, 858, 859, 860, - 861, 862, 863, 864, 865, 866, 867, 868, 869, 870, 871, 872, 873, 874, 875, 876, - 877, 878, 879, 880, 881] - units: '1' -- aliases: [band_09, B09, Band9] - dtype: uint16 - name: B09 - nodata: 0 - spectral_definition: - response: [0.018022, 0.065698, 0.184737, 0.408108, 0.679541, 0.873658, 0.929939, - 0.963266, 0.983566, 0.99069, 0.996767, 0.977237, 0.979057, 0.998123, 0.989646, - 1.0, 0.987516, 0.985535, 0.956408, 0.965775, 0.931094, 0.863762, 0.704633, 0.450443, - 0.201668, 0.059807, 0.013928] - wavelength: [932, 933, 934, 935, 936, 937, 938, 939, 940, 941, 942, 943, 944, - 945, 946, 947, 948, 949, 950, 951, 952, 953, 954, 955, 956, 957, 958] - units: '1' -- aliases: [band_10, B10, Band10] - dtype: uint16 - name: B10 - nodata: 0 - spectral_definition: - response: [0.000238, 5.4e-05, 3.1e-05, 2.9e-05, 7.6e-05, 0.00011, 8.8e-05, 0.000124, - 0.000176, 0.000334, 0.000372, 0.000449, 0.000658, 0.001089, 0.001968, 0.003736, - 0.008017, 0.018845, 0.044656, 0.101545, 0.200855, 0.342389, 0.506472, 0.662498, - 0.783168, 0.86121, 0.91, 0.942126, 0.962015, 0.97375, 0.981721, 0.987945, 0.992811, - 0.996479, 0.999049, 1.0, 0.999092, 0.99605, 0.990956, 0.984854, 0.978085, 0.970373, - 0.96089, 0.948599, 0.933275, 0.915014, 0.894075, 0.868635, 0.830745, 0.764525, - 0.655301, 0.507854, 0.351455, 0.219308, 0.127481, 0.068372, 0.03262, 0.013688, - 0.0055, 0.0024, 0.001125, 0.000545, 0.00035, 0.000177, 0.000219, 0.000197, 0.000106, - 6.0e-05, 5.1e-05, 6.2e-05, 5.6e-05, 3.9e-05, 3.2e-05, 0.000121, 0.000109, 2.5e-05] - wavelength: [1337, 1338, 1339, 1340, 1341, 1342, 1343, 1344, 1345, 1346, 1347, - 1348, 1349, 1350, 1351, 1352, 1353, 1354, 1355, 1356, 1357, 1358, 1359, 1360, - 1361, 1362, 1363, 1364, 1365, 1366, 1367, 1368, 1369, 1370, 1371, 1372, 1373, - 1374, 1375, 1376, 1377, 1378, 1379, 1380, 1381, 1382, 1383, 1384, 1385, 1386, - 1387, 1388, 1389, 1390, 1391, 1392, 1393, 1394, 1395, 1396, 1397, 1398, 1399, - 1400, 1401, 1402, 1403, 1404, 1405, 1406, 1407, 1408, 1409, 1410, 1411, 1412] - units: '1' -- aliases: [band_11, B11, Band11] - dtype: uint16 - name: B11 - nodata: 0 - spectral_definition: - response: [7.0e-06, 7.0e-06, 8.0e-06, 2.8e-05, 3.8e-05, 9.1e-05, 0.000147, 0.000251, - 0.00048, 0.00057, 0.000662, 0.000911, 0.001166, 0.001684, 0.002458, 0.003567, - 0.005345, 0.008318, 0.012628, 0.018996, 0.027781, 0.039584, 0.054865, 0.07493, - 0.10107, 0.135476, 0.182597, 0.247276, 0.330736, 0.429691, 0.537634, 0.647173, - 0.743528, 0.815215, 0.859202, 0.879669, 0.88703, 0.889098, 0.891417, 0.897586, - 0.906631, 0.916528, 0.926579, 0.935322, 0.942394, 0.947507, 0.951416, 0.954254, - 0.956429, 0.958205, 0.960688, 0.96348, 0.965797, 0.96818, 0.971012, 0.97338, - 0.975915, 0.978581, 0.979878, 0.980589, 0.980912, 0.981412, 0.981244, 0.980705, - 0.980377, 0.981066, 0.982736, 0.985122, 0.987807, 0.990376, 0.992016, 0.993288, - 0.992536, 0.990405, 0.987128, 0.983502, 0.980023, 0.976174, 0.972568, 0.969828, - 0.967709, 0.966371, 0.965849, 0.96605, 0.967427, 0.96987, 0.973463, 0.978683, - 0.983472, 0.987635, 0.991875, 0.995476, 0.997586, 0.998568, 0.999328, 0.999234, - 0.998804, 0.999111, 0.99973, 0.999745, 1.0, 0.999814, 0.996693, 0.99162, 0.985702, - 0.978569, 0.969903, 0.960896, 0.953287, 0.946546, 0.941712, 0.938586, 0.935489, - 0.928114, 0.912102, 0.880598, 0.82498, 0.743118, 0.641891, 0.534002, 0.426963, - 0.32371, 0.234284, 0.163972, 0.110211, 0.072478, 0.046194, 0.029401, 0.019359, - 0.013308, 0.009317, 0.006523, 0.004864, 0.003409, 0.002491, 0.001958, 0.001423, - 0.001055, 0.000498, 0.000228, 0.000159, 3.4e-05, 4.5e-05, 1.3e-05] - wavelength: [1539, 1540, 1541, 1542, 1543, 1544, 1545, 1546, 1547, 1548, 1549, - 1550, 1551, 1552, 1553, 1554, 1555, 1556, 1557, 1558, 1559, 1560, 1561, 1562, - 1563, 1564, 1565, 1566, 1567, 1568, 1569, 1570, 1571, 1572, 1573, 1574, 1575, - 1576, 1577, 1578, 1579, 1580, 1581, 1582, 1583, 1584, 1585, 1586, 1587, 1588, - 1589, 1590, 1591, 1592, 1593, 1594, 1595, 1596, 1597, 1598, 1599, 1600, 1601, - 1602, 1603, 1604, 1605, 1606, 1607, 1608, 1609, 1610, 1611, 1612, 1613, 1614, - 1615, 1616, 1617, 1618, 1619, 1620, 1621, 1622, 1623, 1624, 1625, 1626, 1627, - 1628, 1629, 1630, 1631, 1632, 1633, 1634, 1635, 1636, 1637, 1638, 1639, 1640, - 1641, 1642, 1643, 1644, 1645, 1646, 1647, 1648, 1649, 1650, 1651, 1652, 1653, - 1654, 1655, 1656, 1657, 1658, 1659, 1660, 1661, 1662, 1663, 1664, 1665, 1666, - 1667, 1668, 1669, 1670, 1671, 1672, 1673, 1674, 1675, 1676, 1677, 1678, 1679, - 1680, 1681, 1682] - units: '1' -- aliases: [band_12, B12, Band12] - dtype: uint16 - name: B12 - nodata: 0 - spectral_definition: - response: [0.000639, 0.001023, 0.002885, 0.003997, 0.006597, 0.00766, 0.008004, - 0.00854, 0.0093, 0.010002, 0.010972, 0.012089, 0.013364, 0.015017, 0.017126, - 0.01978, 0.023336, 0.027668, 0.033216, 0.040217, 0.048883, 0.059642, 0.073175, - 0.090535, 0.11147, 0.136903, 0.167811, 0.203461, 0.242871, 0.284898, 0.327178, - 0.368404, 0.408003, 0.444778, 0.476537, 0.503107, 0.525318, 0.543352, 0.557253, - 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wavelength: [2078, 2079, 2080, 2081, 2082, 2083, 2084, 2085, 2086, 2087, 2088, - 2089, 2090, 2091, 2092, 2093, 2094, 2095, 2096, 2097, 2098, 2099, 2100, 2101, - 2102, 2103, 2104, 2105, 2106, 2107, 2108, 2109, 2110, 2111, 2112, 2113, 2114, - 2115, 2116, 2117, 2118, 2119, 2120, 2121, 2122, 2123, 2124, 2125, 2126, 2127, - 2128, 2129, 2130, 2131, 2132, 2133, 2134, 2135, 2136, 2137, 2138, 2139, 2140, - 2141, 2142, 2143, 2144, 2145, 2146, 2147, 2148, 2149, 2150, 2151, 2152, 2153, - 2154, 2155, 2156, 2157, 2158, 2159, 2160, 2161, 2162, 2163, 2164, 2165, 2166, - 2167, 2168, 2169, 2170, 2171, 2172, 2173, 2174, 2175, 2176, 2177, 2178, 2179, - 2180, 2181, 2182, 2183, 2184, 2185, 2186, 2187, 2188, 2189, 2190, 2191, 2192, - 2193, 2194, 2195, 2196, 2197, 2198, 2199, 2200, 2201, 2202, 2203, 2204, 2205, - 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2213, 2214, 2215, 2216, 2217, 2218, - 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, - 2232, 2233, 2234, 2235, 2236, 2237, 2238, 2239, 2240, 2241, 2242, 2243, 2244, - 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0.746711, 0.828036, 0.868228, 0.888565, 0.891572, 0.87815, 0.860271, 0.843698, - 0.834035, 0.832617, 0.844968, 0.867734, 0.897361, 0.933938, 0.966923, 0.990762, - 1.0, 0.997812, 0.981107, 0.947088, 0.907183, 0.868656, 0.837622, 0.81291, 0.792434, - 0.7851, 0.789606, 0.807011, 0.830458, 0.846433, 0.858402, 0.85799, 0.799824, - 0.62498, 0.386994, 0.200179, 0.098293, 0.042844, 0.016512] - wavelength: [537, 538, 539, 540, 541, 542, 543, 544, 545, 546, 547, 548, 549, - 550, 551, 552, 553, 554, 555, 556, 557, 558, 559, 560, 561, 562, 563, 564, 565, - 566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, 578, 579, 580, 581, - 582] - units: '1' -- aliases: [band_04, B04, Band4] - dtype: uint16 - name: B04 - nodata: 0 - spectral_definition: - response: [0.002584, 0.034529, 0.14997, 0.464826, 0.817746, 0.965324, 0.983869, - 0.9969, 1.0, 0.995449, 0.991334, 0.977215, 0.936802, 0.873776, 0.814166, 0.776669, - 0.764864, 0.775091, 0.801359, 0.830828, 0.857112, 0.883581, 0.90895, 0.934759, - 0.955931, 0.96811, 0.973219, 0.971572, 0.969003, 0.965712, 0.960481, 0.944811, - 0.884152, 0.706167, 0.422967, 0.189853, 0.063172, 0.020615, 0.002034] - wavelength: [646, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, - 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, - 675, 676, 677, 678, 679, 680, 681, 682, 683, 684] - units: '1' -- aliases: [band_05, B05, Band5] - dtype: uint16 - name: B05 - nodata: 0 - spectral_definition: - response: [0.001187, 0.04126, 0.167712, 0.478496, 0.833878, 0.985479, 1.0, 0.999265, - 0.993239, 0.982416, 0.965583, 0.945953, 0.924699, 0.902399, 0.885582, 0.861231, - 0.757197, 0.521268, 0.196706, 0.036825] - wavelength: [694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 706, - 707, 708, 709, 710, 711, 712, 713] - units: '1' -- aliases: [band_06, B06, Band6] - dtype: uint16 - name: B06 - nodata: 0 - spectral_definition: - response: [0.005331, 0.085006, 0.345714, 0.750598, 0.920265, 0.917917, 0.934211, - 0.957861, 0.975829, 0.981932, 0.981518, 0.993406, 1.0, 0.982579, 0.962584, 0.854908, - 0.506722, 0.135357, 0.013438] - wavelength: [731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, - 744, 745, 746, 747, 748, 749] - units: '1' -- aliases: [band_07, B07, Band7] - dtype: uint16 - name: B07 - nodata: 0 - spectral_definition: - response: [0.001595, 0.014731, 0.067032, 0.199495, 0.422803, 0.694015, 0.898494, - 0.983173, 0.994759, 1.0, 0.994913, 0.964657, 0.908117, 0.846898, 0.802091, 0.778839, - 0.777241, 0.789523, 0.800984, 0.802916, 0.791711, 0.757695, 0.677951, 0.536855, - 0.364033, 0.193498, 0.077219, 0.019707, 0.003152] - wavelength: [769, 770, 771, 772, 773, 774, 775, 776, 777, 778, 779, 780, 781, - 782, 783, 784, 785, 786, 787, 788, 789, 790, 791, 792, 793, 794, 795, 796, 797] - units: '1' -- aliases: [band_08, B08, Band8] - dtype: uint16 - name: B08 - nodata: 0 - spectral_definition: - response: [0.000451, 0.007614, 0.019072, 0.033498, 0.056536, 0.087148, 0.13246, - 0.203436, 0.314068, 0.450085, 0.587433, 0.714518, 0.81829, 0.902932, 0.960732, - 0.993723, 1.0, 0.985213, 0.958376, 0.93655, 0.925816, 0.930376, 0.941281, 0.953344, - 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0.231085, 0.14854, 0.089683, 0.054977, 0.033246, 0.019774, 0.007848, 0.001286] - wavelength: [773, 774, 775, 776, 777, 778, 779, 780, 781, 782, 783, 784, 785, - 786, 787, 788, 789, 790, 791, 792, 793, 794, 795, 796, 797, 798, 799, 800, 801, - 802, 803, 804, 805, 806, 807, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, - 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, 828, 829, 830, 831, 832, 833, - 834, 835, 836, 837, 838, 839, 840, 841, 842, 843, 844, 845, 846, 847, 848, 849, - 850, 851, 852, 853, 854, 855, 856, 857, 858, 859, 860, 861, 862, 863, 864, 865, - 866, 867, 868, 869, 870, 871, 872, 873, 874, 875, 876, 877, 878, 879, 880, 881, - 882, 883, 884, 885, 886, 887, 888, 889, 890, 891, 892, 893, 894, 895, 896, 897, - 898, 899, 900, 901, 902, 903, 904, 905, 906, 907, 908] - units: '1' -- aliases: [band_8A, B8A, Band8A] - dtype: uint16 - name: B8A - nodata: 0 - spectral_definition: - response: [0.001651, 0.013242, 0.02471, 0.051379, 0.104944, 0.216577, 0.384865, - 0.585731, 0.774481, 0.87843, 0.914944, 0.922574, 0.926043, 0.929676, 0.935962, - 0.946583, 0.955792, 0.965458, 0.974461, 0.97988, 0.983325, 0.982881, 0.988474, - 1.0, 0.999626, 0.921005, 0.728632, 0.472189, 0.238082, 0.106955, 0.046096, 0.022226, - 0.008819, 0.000455] - wavelength: [848, 849, 850, 851, 852, 853, 854, 855, 856, 857, 858, 859, 860, - 861, 862, 863, 864, 865, 866, 867, 868, 869, 870, 871, 872, 873, 874, 875, 876, - 877, 878, 879, 880, 881] - units: '1' -- aliases: [band_09, B09, Band9] - dtype: uint16 - name: B09 - nodata: 0 - spectral_definition: - response: [0.018022, 0.065698, 0.184737, 0.408108, 0.679541, 0.873658, 0.929939, - 0.963266, 0.983566, 0.99069, 0.996767, 0.977237, 0.979057, 0.998123, 0.989646, - 1.0, 0.987516, 0.985535, 0.956408, 0.965775, 0.931094, 0.863762, 0.704633, 0.450443, - 0.201668, 0.059807, 0.013928] - wavelength: [932, 933, 934, 935, 936, 937, 938, 939, 940, 941, 942, 943, 944, - 945, 946, 947, 948, 949, 950, 951, 952, 953, 954, 955, 956, 957, 958] - units: '1' -- aliases: [band_10, B10, Band10] - dtype: uint16 - name: B10 - 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1.0, 0.997812, 0.981107, 0.947088, 0.907183, 0.868656, 0.837622, 0.81291, 0.792434, - 0.7851, 0.789606, 0.807011, 0.830458, 0.846433, 0.858402, 0.85799, 0.799824, - 0.62498, 0.386994, 0.200179, 0.098293, 0.042844, 0.016512] - wavelength: [537, 538, 539, 540, 541, 542, 543, 544, 545, 546, 547, 548, 549, - 550, 551, 552, 553, 554, 555, 556, 557, 558, 559, 560, 561, 562, 563, 564, 565, - 566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, 578, 579, 580, 581, - 582] - units: '1' -- dtype: uint16 - name: B04_10m - nodata: 0 - spectral_definition: - response: [0.002584, 0.034529, 0.14997, 0.464826, 0.817746, 0.965324, 0.983869, - 0.9969, 1.0, 0.995449, 0.991334, 0.977215, 0.936802, 0.873776, 0.814166, 0.776669, - 0.764864, 0.775091, 0.801359, 0.830828, 0.857112, 0.883581, 0.90895, 0.934759, - 0.955931, 0.96811, 0.973219, 0.971572, 0.969003, 0.965712, 0.960481, 0.944811, - 0.884152, 0.706167, 0.422967, 0.189853, 0.063172, 0.020615, 0.002034] - wavelength: [646, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, - 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0.993239, 0.982416, 0.965583, 0.945953, 0.924699, 0.902399, 0.885582, 0.861231, - 0.757197, 0.521268, 0.196706, 0.036825] - wavelength: [694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 706, - 707, 708, 709, 710, 711, 712, 713] - units: '1' -- dtype: uint16 - name: B06_20m - nodata: 0 - spectral_definition: - response: [0.005331, 0.085006, 0.345714, 0.750598, 0.920265, 0.917917, 0.934211, - 0.957861, 0.975829, 0.981932, 0.981518, 0.993406, 1.0, 0.982579, 0.962584, 0.854908, - 0.506722, 0.135357, 0.013438] - wavelength: [731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, - 744, 745, 746, 747, 748, 749] - units: '1' -- dtype: uint16 - name: B06_60m - nodata: 0 - spectral_definition: - response: [0.005331, 0.085006, 0.345714, 0.750598, 0.920265, 0.917917, 0.934211, - 0.957861, 0.975829, 0.981932, 0.981518, 0.993406, 1.0, 0.982579, 0.962584, 0.854908, - 0.506722, 0.135357, 0.013438] - wavelength: [731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, - 744, 745, 746, 747, 748, 749] - units: '1' -- dtype: uint16 - name: B07_20m - nodata: 0 - spectral_definition: - response: [0.001595, 0.014731, 0.067032, 0.199495, 0.422803, 0.694015, 0.898494, - 0.983173, 0.994759, 1.0, 0.994913, 0.964657, 0.908117, 0.846898, 0.802091, 0.778839, - 0.777241, 0.789523, 0.800984, 0.802916, 0.791711, 0.757695, 0.677951, 0.536855, - 0.364033, 0.193498, 0.077219, 0.019707, 0.003152] - wavelength: [769, 770, 771, 772, 773, 774, 775, 776, 777, 778, 779, 780, 781, - 782, 783, 784, 785, 786, 787, 788, 789, 790, 791, 792, 793, 794, 795, 796, 797] - units: '1' -- dtype: uint16 - name: B07_60m - nodata: 0 - spectral_definition: - response: [0.001595, 0.014731, 0.067032, 0.199495, 0.422803, 0.694015, 0.898494, - 0.983173, 0.994759, 1.0, 0.994913, 0.964657, 0.908117, 0.846898, 0.802091, 0.778839, - 0.777241, 0.789523, 0.800984, 0.802916, 0.791711, 0.757695, 0.677951, 0.536855, - 0.364033, 0.193498, 0.077219, 0.019707, 0.003152] - wavelength: [769, 770, 771, 772, 773, 774, 775, 776, 777, 778, 779, 780, 781, - 782, 783, 784, 785, 786, 787, 788, 789, 790, 791, 792, 793, 794, 795, 796, 797] - units: '1' -- dtype: uint16 - name: B08_10m - nodata: 0 - spectral_definition: - response: [0.000451, 0.007614, 0.019072, 0.033498, 0.056536, 0.087148, 0.13246, - 0.203436, 0.314068, 0.450085, 0.587433, 0.714518, 0.81829, 0.902932, 0.960732, - 0.993723, 1.0, 0.985213, 0.958376, 0.93655, 0.925816, 0.930376, 0.941281, 0.953344, - 0.962183, 0.965631, 0.963105, 0.959009, 0.951205, 0.945147, 0.943136, 0.945814, - 0.945357, 0.943762, 0.937084, 0.92789, 0.915897, 0.900979, 0.881577, 0.86216, - 0.8432, 0.822684, 0.801819, 0.776911, 0.755632, 0.737893, 0.722217, 0.708669, - 0.698416, 0.690211, 0.682257, 0.681494, 0.682649, 0.678491, 0.67595, 0.671304, - 0.665538, 0.660812, 0.658739, 0.65831, 0.66407, 0.672731, 0.685501, 0.701159, - 0.720686, 0.742292, 0.75953, 0.776608, 0.784061, 0.78772, 0.787693, 0.783525, - 0.776161, 0.768339, 0.759264, 0.745943, 0.733022, 0.720589, 0.706663, 0.69087, - 0.675896, 0.661558, 0.649339, 0.638008, 0.627424, 0.618963, 0.610945, 0.604322, - 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0.946583, 0.955792, 0.965458, 0.974461, 0.97988, 0.983325, 0.982881, 0.988474, - 1.0, 0.999626, 0.921005, 0.728632, 0.472189, 0.238082, 0.106955, 0.046096, 0.022226, - 0.008819, 0.000455] - wavelength: [848, 849, 850, 851, 852, 853, 854, 855, 856, 857, 858, 859, 860, - 861, 862, 863, 864, 865, 866, 867, 868, 869, 870, 871, 872, 873, 874, 875, 876, - 877, 878, 879, 880, 881] - units: '1' -- dtype: uint16 - name: B09_60m - nodata: 0 - spectral_definition: - response: [0.018022, 0.065698, 0.184737, 0.408108, 0.679541, 0.873658, 0.929939, - 0.963266, 0.983566, 0.99069, 0.996767, 0.977237, 0.979057, 0.998123, 0.989646, - 1.0, 0.987516, 0.985535, 0.956408, 0.965775, 0.931094, 0.863762, 0.704633, 0.450443, - 0.201668, 0.059807, 0.013928] - wavelength: [932, 933, 934, 935, 936, 937, 938, 939, 940, 941, 942, 943, 944, - 945, 946, 947, 948, 949, 950, 951, 952, 953, 954, 955, 956, 957, 958] - units: '1' -- dtype: uint16 - name: B11_20m - nodata: 0 - spectral_definition: - response: [7.0e-06, 7.0e-06, 8.0e-06, 2.8e-05, 3.8e-05, 9.1e-05, 0.000147, 0.000251, - 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0.928114, 0.912102, 0.880598, 0.82498, 0.743118, 0.641891, 0.534002, 0.426963, - 0.32371, 0.234284, 0.163972, 0.110211, 0.072478, 0.046194, 0.029401, 0.019359, - 0.013308, 0.009317, 0.006523, 0.004864, 0.003409, 0.002491, 0.001958, 0.001423, - 0.001055, 0.000498, 0.000228, 0.000159, 3.4e-05, 4.5e-05, 1.3e-05] - wavelength: [1539, 1540, 1541, 1542, 1543, 1544, 1545, 1546, 1547, 1548, 1549, - 1550, 1551, 1552, 1553, 1554, 1555, 1556, 1557, 1558, 1559, 1560, 1561, 1562, - 1563, 1564, 1565, 1566, 1567, 1568, 1569, 1570, 1571, 1572, 1573, 1574, 1575, - 1576, 1577, 1578, 1579, 1580, 1581, 1582, 1583, 1584, 1585, 1586, 1587, 1588, - 1589, 1590, 1591, 1592, 1593, 1594, 1595, 1596, 1597, 1598, 1599, 1600, 1601, - 1602, 1603, 1604, 1605, 1606, 1607, 1608, 1609, 1610, 1611, 1612, 1613, 1614, - 1615, 1616, 1617, 1618, 1619, 1620, 1621, 1622, 1623, 1624, 1625, 1626, 1627, - 1628, 1629, 1630, 1631, 1632, 1633, 1634, 1635, 1636, 1637, 1638, 1639, 1640, - 1641, 1642, 1643, 1644, 1645, 1646, 1647, 1648, 1649, 1650, 1651, 1652, 1653, - 1654, 1655, 1656, 1657, 1658, 1659, 1660, 1661, 1662, 1663, 1664, 1665, 1666, - 1667, 1668, 1669, 1670, 1671, 1672, 1673, 1674, 1675, 1676, 1677, 1678, 1679, - 1680, 1681, 1682] - units: '1' -- dtype: uint16 - name: B11_60m - nodata: 0 - spectral_definition: - response: [7.0e-06, 7.0e-06, 8.0e-06, 2.8e-05, 3.8e-05, 9.1e-05, 0.000147, 0.000251, - 0.00048, 0.00057, 0.000662, 0.000911, 0.001166, 0.001684, 0.002458, 0.003567, - 0.005345, 0.008318, 0.012628, 0.018996, 0.027781, 0.039584, 0.054865, 0.07493, - 0.10107, 0.135476, 0.182597, 0.247276, 0.330736, 0.429691, 0.537634, 0.647173, - 0.743528, 0.815215, 0.859202, 0.879669, 0.88703, 0.889098, 0.891417, 0.897586, - 0.906631, 0.916528, 0.926579, 0.935322, 0.942394, 0.947507, 0.951416, 0.954254, - 0.956429, 0.958205, 0.960688, 0.96348, 0.965797, 0.96818, 0.971012, 0.97338, - 0.975915, 0.978581, 0.979878, 0.980589, 0.980912, 0.981412, 0.981244, 0.980705, - 0.980377, 0.981066, 0.982736, 0.985122, 0.987807, 0.990376, 0.992016, 0.993288, - 0.992536, 0.990405, 0.987128, 0.983502, 0.980023, 0.976174, 0.972568, 0.969828, - 0.967709, 0.966371, 0.965849, 0.96605, 0.967427, 0.96987, 0.973463, 0.978683, - 0.983472, 0.987635, 0.991875, 0.995476, 0.997586, 0.998568, 0.999328, 0.999234, - 0.998804, 0.999111, 0.99973, 0.999745, 1.0, 0.999814, 0.996693, 0.99162, 0.985702, - 0.978569, 0.969903, 0.960896, 0.953287, 0.946546, 0.941712, 0.938586, 0.935489, - 0.928114, 0.912102, 0.880598, 0.82498, 0.743118, 0.641891, 0.534002, 0.426963, - 0.32371, 0.234284, 0.163972, 0.110211, 0.072478, 0.046194, 0.029401, 0.019359, - 0.013308, 0.009317, 0.006523, 0.004864, 0.003409, 0.002491, 0.001958, 0.001423, - 0.001055, 0.000498, 0.000228, 0.000159, 3.4e-05, 4.5e-05, 1.3e-05] - wavelength: [1539, 1540, 1541, 1542, 1543, 1544, 1545, 1546, 1547, 1548, 1549, - 1550, 1551, 1552, 1553, 1554, 1555, 1556, 1557, 1558, 1559, 1560, 1561, 1562, - 1563, 1564, 1565, 1566, 1567, 1568, 1569, 1570, 1571, 1572, 1573, 1574, 1575, - 1576, 1577, 1578, 1579, 1580, 1581, 1582, 1583, 1584, 1585, 1586, 1587, 1588, - 1589, 1590, 1591, 1592, 1593, 1594, 1595, 1596, 1597, 1598, 1599, 1600, 1601, - 1602, 1603, 1604, 1605, 1606, 1607, 1608, 1609, 1610, 1611, 1612, 1613, 1614, - 1615, 1616, 1617, 1618, 1619, 1620, 1621, 1622, 1623, 1624, 1625, 1626, 1627, - 1628, 1629, 1630, 1631, 1632, 1633, 1634, 1635, 1636, 1637, 1638, 1639, 1640, - 1641, 1642, 1643, 1644, 1645, 1646, 1647, 1648, 1649, 1650, 1651, 1652, 1653, - 1654, 1655, 1656, 1657, 1658, 1659, 1660, 1661, 1662, 1663, 1664, 1665, 1666, - 1667, 1668, 1669, 1670, 1671, 1672, 1673, 1674, 1675, 1676, 1677, 1678, 1679, - 1680, 1681, 1682] - units: '1' -- dtype: uint16 - name: B12_20m - nodata: 0 - spectral_definition: - response: [0.000639, 0.001023, 0.002885, 0.003997, 0.006597, 0.00766, 0.008004, - 0.00854, 0.0093, 0.010002, 0.010972, 0.012089, 0.013364, 0.015017, 0.017126, - 0.01978, 0.023336, 0.027668, 0.033216, 0.040217, 0.048883, 0.059642, 0.073175, - 0.090535, 0.11147, 0.136903, 0.167811, 0.203461, 0.242871, 0.284898, 0.327178, - 0.368404, 0.408003, 0.444778, 0.476537, 0.503107, 0.525318, 0.543352, 0.557253, - 0.568634, 0.57903, 0.588684, 0.598891, 0.609981, 0.621362, 0.634283, 0.648546, - 0.663707, 0.680046, 0.696165, 0.711964, 0.727011, 0.741301, 0.757405, 0.772071, - 0.785581, 0.798238, 0.809677, 0.819702, 0.828599, 0.836722, 0.844443, 0.851107, - 0.853252, 0.854746, 0.856174, 0.857821, 0.859532, 0.86146, 0.863257, 0.865139, - 0.867319, 0.869696, 0.874302, 0.878588, 0.882439, 0.885929, 0.889473, 0.893226, - 0.896696, 0.899897, 0.902596, 0.904831, 0.905525, 0.905665, 0.905503, 0.905158, - 0.904783, 0.904082, 0.903347, 0.902761, 0.902377, 0.901983, 0.903424, 0.904313, - 0.905315, 0.906446, 0.908092, 0.910123, 0.91295, 0.915585, 0.918444, 0.921302, - 0.924337, 0.927219, 0.92974, 0.931922, 0.934142, 0.935906, 0.937086, 0.937641, - 0.938301, 0.937652, 0.940441, 0.942518, 0.943259, 0.943031, 0.942117, 0.940632, - 0.938428, 0.93666, 0.935256, 0.933022, 0.92688, 0.921057, 0.915483, 0.91102, - 0.908293, 0.907283, 0.908191, 0.911169, 0.916189, 0.922855, 0.920605, 0.919482, - 0.919489, 0.921276, 0.924526, 0.927733, 0.931974, 0.93677, 0.941483, 0.946802, - 0.951203, 0.954437, 0.957047, 0.959729, 0.962539, 0.964858, 0.966042, 0.966647, - 0.96631, 0.96546, 0.964841, 0.963656, 0.961698, 0.959454, 0.957327, 0.95514, - 0.953558, 0.952732, 0.952181, 0.951731, 0.952146, 0.952641, 0.954057, 0.957078, - 0.960639, 0.964222, 0.968307, 0.972691, 0.977423, 0.982898, 0.987144, 0.990734, - 0.993983, 0.996787, 0.998753, 1.0, 0.999927, 0.999152, 0.997129, 0.993884, 0.989686, - 0.983735, 0.976213, 0.967813, 0.958343, 0.94844, 0.938203, 0.927725, 0.917039, - 0.905999, 0.893868, 0.881683, 0.868647, 0.854635, 0.84062, 0.826016, 0.809516, - 0.791867, 0.772443, 0.749107, 0.720346, 0.688185, 0.651283, 0.61005, 0.566031, - 0.52097, 0.474659, 0.429259, 0.385857, 0.342092, 0.30068, 0.263176, 0.227704, - 0.195721, 0.16809, 0.14468, 0.124831, 0.108237, 0.094401, 0.082363, 0.0715, - 0.062691, 0.054985, 0.048195, 0.042864, 0.038598, 0.034947, 0.031999, 0.029588, - 0.027418, 0.025577, 0.023959, 0.021672, 0.019148, 0.016331, 0.010989, 0.007379, - 0.006511, 0.00471, 0.002065] - wavelength: [2078, 2079, 2080, 2081, 2082, 2083, 2084, 2085, 2086, 2087, 2088, - 2089, 2090, 2091, 2092, 2093, 2094, 2095, 2096, 2097, 2098, 2099, 2100, 2101, - 2102, 2103, 2104, 2105, 2106, 2107, 2108, 2109, 2110, 2111, 2112, 2113, 2114, - 2115, 2116, 2117, 2118, 2119, 2120, 2121, 2122, 2123, 2124, 2125, 2126, 2127, - 2128, 2129, 2130, 2131, 2132, 2133, 2134, 2135, 2136, 2137, 2138, 2139, 2140, - 2141, 2142, 2143, 2144, 2145, 2146, 2147, 2148, 2149, 2150, 2151, 2152, 2153, - 2154, 2155, 2156, 2157, 2158, 2159, 2160, 2161, 2162, 2163, 2164, 2165, 2166, - 2167, 2168, 2169, 2170, 2171, 2172, 2173, 2174, 2175, 2176, 2177, 2178, 2179, - 2180, 2181, 2182, 2183, 2184, 2185, 2186, 2187, 2188, 2189, 2190, 2191, 2192, - 2193, 2194, 2195, 2196, 2197, 2198, 2199, 2200, 2201, 2202, 2203, 2204, 2205, - 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2213, 2214, 2215, 2216, 2217, 2218, - 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, - 2232, 2233, 2234, 2235, 2236, 2237, 2238, 2239, 2240, 2241, 2242, 2243, 2244, - 2245, 2246, 2247, 2248, 2249, 2250, 2251, 2252, 2253, 2254, 2255, 2256, 2257, - 2258, 2259, 2260, 2261, 2262, 2263, 2264, 2265, 2266, 2267, 2268, 2269, 2270, - 2271, 2272, 2273, 2274, 2275, 2276, 2277, 2278, 2279, 2280, 2281, 2282, 2283, - 2284, 2285, 2286, 2287, 2288, 2289, 2290, 2291, 2292, 2293, 2294, 2295, 2296, - 2297, 2298, 2299, 2300, 2301, 2302, 2303, 2304, 2305, 2306, 2307, 2308, 2309, - 2310, 2311, 2312, 2313, 2314, 2315, 2316, 2317, 2318, 2319, 2320] - units: '1' -- dtype: uint16 - name: B12_60m - nodata: 0 - spectral_definition: - response: [0.000639, 0.001023, 0.002885, 0.003997, 0.006597, 0.00766, 0.008004, - 0.00854, 0.0093, 0.010002, 0.010972, 0.012089, 0.013364, 0.015017, 0.017126, - 0.01978, 0.023336, 0.027668, 0.033216, 0.040217, 0.048883, 0.059642, 0.073175, - 0.090535, 0.11147, 0.136903, 0.167811, 0.203461, 0.242871, 0.284898, 0.327178, - 0.368404, 0.408003, 0.444778, 0.476537, 0.503107, 0.525318, 0.543352, 0.557253, - 0.568634, 0.57903, 0.588684, 0.598891, 0.609981, 0.621362, 0.634283, 0.648546, - 0.663707, 0.680046, 0.696165, 0.711964, 0.727011, 0.741301, 0.757405, 0.772071, - 0.785581, 0.798238, 0.809677, 0.819702, 0.828599, 0.836722, 0.844443, 0.851107, - 0.853252, 0.854746, 0.856174, 0.857821, 0.859532, 0.86146, 0.863257, 0.865139, - 0.867319, 0.869696, 0.874302, 0.878588, 0.882439, 0.885929, 0.889473, 0.893226, - 0.896696, 0.899897, 0.902596, 0.904831, 0.905525, 0.905665, 0.905503, 0.905158, - 0.904783, 0.904082, 0.903347, 0.902761, 0.902377, 0.901983, 0.903424, 0.904313, - 0.905315, 0.906446, 0.908092, 0.910123, 0.91295, 0.915585, 0.918444, 0.921302, - 0.924337, 0.927219, 0.92974, 0.931922, 0.934142, 0.935906, 0.937086, 0.937641, - 0.938301, 0.937652, 0.940441, 0.942518, 0.943259, 0.943031, 0.942117, 0.940632, - 0.938428, 0.93666, 0.935256, 0.933022, 0.92688, 0.921057, 0.915483, 0.91102, - 0.908293, 0.907283, 0.908191, 0.911169, 0.916189, 0.922855, 0.920605, 0.919482, - 0.919489, 0.921276, 0.924526, 0.927733, 0.931974, 0.93677, 0.941483, 0.946802, - 0.951203, 0.954437, 0.957047, 0.959729, 0.962539, 0.964858, 0.966042, 0.966647, - 0.96631, 0.96546, 0.964841, 0.963656, 0.961698, 0.959454, 0.957327, 0.95514, - 0.953558, 0.952732, 0.952181, 0.951731, 0.952146, 0.952641, 0.954057, 0.957078, - 0.960639, 0.964222, 0.968307, 0.972691, 0.977423, 0.982898, 0.987144, 0.990734, - 0.993983, 0.996787, 0.998753, 1.0, 0.999927, 0.999152, 0.997129, 0.993884, 0.989686, - 0.983735, 0.976213, 0.967813, 0.958343, 0.94844, 0.938203, 0.927725, 0.917039, - 0.905999, 0.893868, 0.881683, 0.868647, 0.854635, 0.84062, 0.826016, 0.809516, - 0.791867, 0.772443, 0.749107, 0.720346, 0.688185, 0.651283, 0.61005, 0.566031, - 0.52097, 0.474659, 0.429259, 0.385857, 0.342092, 0.30068, 0.263176, 0.227704, - 0.195721, 0.16809, 0.14468, 0.124831, 0.108237, 0.094401, 0.082363, 0.0715, - 0.062691, 0.054985, 0.048195, 0.042864, 0.038598, 0.034947, 0.031999, 0.029588, - 0.027418, 0.025577, 0.023959, 0.021672, 0.019148, 0.016331, 0.010989, 0.007379, - 0.006511, 0.00471, 0.002065] - wavelength: [2078, 2079, 2080, 2081, 2082, 2083, 2084, 2085, 2086, 2087, 2088, - 2089, 2090, 2091, 2092, 2093, 2094, 2095, 2096, 2097, 2098, 2099, 2100, 2101, - 2102, 2103, 2104, 2105, 2106, 2107, 2108, 2109, 2110, 2111, 2112, 2113, 2114, - 2115, 2116, 2117, 2118, 2119, 2120, 2121, 2122, 2123, 2124, 2125, 2126, 2127, - 2128, 2129, 2130, 2131, 2132, 2133, 2134, 2135, 2136, 2137, 2138, 2139, 2140, - 2141, 2142, 2143, 2144, 2145, 2146, 2147, 2148, 2149, 2150, 2151, 2152, 2153, - 2154, 2155, 2156, 2157, 2158, 2159, 2160, 2161, 2162, 2163, 2164, 2165, 2166, - 2167, 2168, 2169, 2170, 2171, 2172, 2173, 2174, 2175, 2176, 2177, 2178, 2179, - 2180, 2181, 2182, 2183, 2184, 2185, 2186, 2187, 2188, 2189, 2190, 2191, 2192, - 2193, 2194, 2195, 2196, 2197, 2198, 2199, 2200, 2201, 2202, 2203, 2204, 2205, - 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2213, 2214, 2215, 2216, 2217, 2218, - 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, - 2232, 2233, 2234, 2235, 2236, 2237, 2238, 2239, 2240, 2241, 2242, 2243, 2244, - 2245, 2246, 2247, 2248, 2249, 2250, 2251, 2252, 2253, 2254, 2255, 2256, 2257, - 2258, 2259, 2260, 2261, 2262, 2263, 2264, 2265, 2266, 2267, 2268, 2269, 2270, - 2271, 2272, 2273, 2274, 2275, 2276, 2277, 2278, 2279, 2280, 2281, 2282, 2283, - 2284, 2285, 2286, 2287, 2288, 2289, 2290, 2291, 2292, 2293, 2294, 2295, 2296, - 2297, 2298, 2299, 2300, 2301, 2302, 2303, 2304, 2305, 2306, 2307, 2308, 2309, - 2310, 2311, 2312, 2313, 2314, 2315, 2316, 2317, 2318, 2319, 2320] - units: '1' -- dtype: uint16 - flags_definition: - sca: - bits: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15] - description: Sen2Cor Scene Classification - values: {0: dark features, 1: cloud shadows, 2: vegetation, 3: bare soils, 4: water, - 5: cloud low probability, 6: cloud medium probability, 7: cloud high probability, - 8: thin cirrus, 9: snow, 10: defective or saturated} - name: SCL_20m - nodata: 0 - units: '1' -metadata: - format: {name: JPEG2000} - instrument: {name: MSI} - platform: {code: SENTINEL_2A} - product_type: S2MSI2Ap -metadata_type: eo -name: s2a_sen2cor_granule diff --git a/digitalearthau/config/products/s2a_s2b_tsmask.odc-product.yaml b/digitalearthau/config/products/s2a_s2b_tsmask.odc-product.yaml deleted file mode 100644 index ffd60c69..00000000 --- a/digitalearthau/config/products/s2a_s2b_tsmask.odc-product.yaml +++ /dev/null @@ -1,28 +0,0 @@ -name: s2_tsmask -description: | - Time series cloud and cloud shadow detection for Sentinel-2A and Sentinel-2B surface reflectance data. - - TSmask classifies a pixel as one of the following four categories: no observation, clear, cloud, and cloud shadow. -measurements: - - name: classification - dtype: uint8 - flags_definition: - classification: - bits: [0, 1, 2, 3, 4, 5, 6, 7] - description: TSmask classification - values: - '0': nodata - '1': valid - '2': cloud - '3': shadow - nodata: 0 - units: '1' -metadata: - format: - name: GeoTIFF - instrument: - name: MSI - platform: - code: SENTINEL_2A,SENTINEL_2B - product_type: S2_MSI_TSmask -metadata_type: eo diff --git a/digitalearthau/config/products/tmad.odc-product.yaml b/digitalearthau/config/products/tmad.odc-product.yaml deleted file mode 100644 index 42fe7da3..00000000 --- a/digitalearthau/config/products/tmad.odc-product.yaml +++ /dev/null @@ -1,109 +0,0 @@ -name: ls8_nbart_tmad_annual -description: Surface Reflectance Triple Median Absolute Deviation 25 metre, 100km tile, Australian Albers Equal Area projection (EPSG:3577) -metadata_type: eo -metadata: - product_type: surface_reflectance_triple_mad - platform: - code: LANDSAT_8 - statistics: - period: '1y' - instrument: - name: OLI -storage: - driver: NetCDF CF - crs: EPSG:3577 - tile_size: - x: 100000.0 - y: 100000.0 - resolution: - x: 25 - y: -25 - dimension_order: [time, y, x] -# possibly fix the dtype -measurements: - - name: sdev - dtype: float32 - nodata: .nan - units: '1' - - name: edev - dtype: float32 - nodata: .nan - units: '1' - - name: bcdev - dtype: float32 - nodata: .nan - units: '1' ---- - -name: ls7_nbart_tmad_annual -description: Surface Reflectance Triple Median Absolute Deviation 25 metre, 100km tile, Australian Albers Equal Area projection (EPSG:3577) -metadata_type: eo -metadata: - product_type: surface_reflectance_triple_mad - platform: - code: LANDSAT_7 - statistics: - period: '1y' - instrument: - name: ETM+ -storage: - driver: NetCDF CF - crs: EPSG:3577 - tile_size: - x: 100000.0 - y: 100000.0 - resolution: - x: 25 - y: -25 - dimension_order: [time, y, x] -# possibly fix the dtype -measurements: - - name: sdev - dtype: float32 - nodata: .nan - units: '1' - - name: edev - dtype: float32 - nodata: .nan - units: '1' - - name: bcdev - dtype: float32 - nodata: .nan - units: '1' ---- - -name: ls5_nbart_tmad_annual -description: Surface Reflectance Triple Median Absolute Deviation 25 metre, 100km tile, Australian Albers Equal Area projection (EPSG:3577) -metadata_type: eo -metadata: - product_type: surface_reflectance_triple_mad - platform: - code: LANDSAT_5 - statistics: - period: '1y' - instrument: - name: TM -storage: - driver: NetCDF CF - crs: EPSG:3577 - tile_size: - x: 100000.0 - y: 100000.0 - resolution: - x: 25 - y: -25 - dimension_order: [time, y, x] -# possibly fix the dtype -measurements: - - name: sdev - dtype: float32 - nodata: .nan - units: '1' - - name: edev - dtype: float32 - nodata: .nan - units: '1' - - name: bcdev - dtype: float32 - nodata: .nan - units: '1' diff --git a/digitalearthau/config/products/wofs_albers.odc-product.yaml b/digitalearthau/config/products/wofs_albers.odc-product.yaml deleted file mode 100644 index d0841c9b..00000000 --- a/digitalearthau/config/products/wofs_albers.odc-product.yaml +++ /dev/null @@ -1,72 +0,0 @@ ---- -description: 'Historic Flood Mapping Water Observations from Space' -managed: true -measurements: - - name: water - dtype: int16 - nodata: 1 - units: '1' - flags_definition: - dry: - bits: [7, 6, 5, 4, 3, 1, 0] # Ignore sea mask - description: Clear and dry - values: {0: true} - nodata: - bits: 0 - description: No data - values: {1: true} - noncontiguous: - bits: 1 - description: At least one EO band is missing over over/undersaturated - values: {0: false, 1: true} - sea: - bits: 2 - description: Sea - values: {0: false, 1: true} - terrain_or_low_angle: - bits: 3 - description: Terrain shadow or low solar angle - values: {0: false, 1: true} - high_slope: - bits: 4 - description: High slope - values: {0: false, 1: true} - cloud_shadow: - bits: 5 - description: Cloud shadow - values: {0: false, 1: true} - cloud: - bits: 6 - description: Cloudy - values: {0: false, 1: true} - water_observed: - bits: 7 - description: Classified as water by the decision tree - values: {0: false, 1: true} - wet: - bits: [7, 6, 5, 4, 3, 1, 0] # Ignore sea mask - description: Clear and Wet - values: {128: true} -metadata: - product_type: wofs - format: - name: NetCDF -metadata_type: eo -name: wofs_albers -storage: - chunking: - time: 5 - x: 200 - y: 200 - crs: EPSG:3577 - dimension_order: - - time - - y - - x - driver: 'NetCDF CF' - resolution: - x: 25 - y: -25 - tile_size: - x: 100000.0 - y: 100000.0 diff --git a/digitalearthau/config/products/wofs_annual_summary.odc-product.yaml b/digitalearthau/config/products/wofs_annual_summary.odc-product.yaml deleted file mode 100644 index 2fe993e5..00000000 --- a/digitalearthau/config/products/wofs_annual_summary.odc-product.yaml +++ /dev/null @@ -1,37 +0,0 @@ -name: wofs_annual_summary -description: Water Observations from Space Annual Statistics -metadata_type: eo - -metadata: - product_type: wofs_annual_summary - format: - name: 'NetCDF' - instrument: - name: 'TM,ETM,OLI' - platform: - code: 'LANDSAT_5,LANDSAT_7,LANDSAT_8' -measurements: - - name: count_wet - dtype: int16 - nodata: -1 - units: '1' - - name: count_clear - dtype: int16 - nodata: -1 - units: '1' - - name: frequency - dtype: float32 - nodata: -1 - units: '1' -storage: - crs: EPSG:3577 - dimension_order: - - time - - y - - x - resolution: - x: 25 - y: -25 - tile_size: - x: 100000.0 - y: 100000.0 diff --git a/digitalearthau/config/products/wofs_apr_oct_summary.odc-product.yaml b/digitalearthau/config/products/wofs_apr_oct_summary.odc-product.yaml deleted file mode 100644 index 0237e08b..00000000 --- a/digitalearthau/config/products/wofs_apr_oct_summary.odc-product.yaml +++ /dev/null @@ -1,37 +0,0 @@ -name: wofs_apr_oct_summary -description: Water Observations from Space April to October Statistics -metadata_type: eo - -metadata: - product_type: wofs_apr_oct_summary - format: - name: 'NetCDF' - instrument: - name: 'TM,ETM,OLI' - platform: - code: 'LANDSAT_5,LANDSAT_7,LANDSAT_8' -measurements: - - name: count_wet - dtype: int16 - nodata: -1 - units: '1' - - name: count_clear - dtype: int16 - nodata: -1 - units: '1' - - name: frequency - dtype: float32 - nodata: -1 - units: '1' -storage: - crs: EPSG:3577 - dimension_order: - - time - - y - - x - resolution: - x: 25 - y: -25 - tile_size: - x: 100000.0 - y: 100000.0 diff --git a/digitalearthau/config/products/wofs_filtered_summary.odc-product.yaml b/digitalearthau/config/products/wofs_filtered_summary.odc-product.yaml deleted file mode 100644 index c73adc16..00000000 --- a/digitalearthau/config/products/wofs_filtered_summary.odc-product.yaml +++ /dev/null @@ -1,33 +0,0 @@ -name: wofs_filtered_summary -description: Water Observations from Space Statistics confidence filtered -metadata_type: eo - -metadata: - product_type: wofs_filtered_summary - format: - name: 'NetCDF' - instrument: - name: 'TM,ETM+,OLI' - platform: - code: 'LANDSAT_5,LANDSAT_7,LANDSAT_8' -measurements: - - name: confidence - dtype: float32 - nodata: -1 - units: '1' - - name: wofs_filtered_summary - dtype: float32 - nodata: -1 - units: '1' -storage: - crs: EPSG:3577 - dimension_order: - - time - - y - - x - resolution: - x: 25 - y: -25 - tile_size: - x: 100000.0 - y: 100000.0 diff --git a/digitalearthau/config/products/wofs_nov_mar_summary.odc-product.yaml b/digitalearthau/config/products/wofs_nov_mar_summary.odc-product.yaml deleted file mode 100644 index b133c879..00000000 --- a/digitalearthau/config/products/wofs_nov_mar_summary.odc-product.yaml +++ /dev/null @@ -1,37 +0,0 @@ -name: wofs_nov_mar_summary -description: Water Observations from Space November to March Statistics -metadata_type: eo - -metadata: - product_type: wofs_nov_mar_summary - format: - name: 'NetCDF' - instrument: - name: 'TM,ETM,OLI' - platform: - code: 'LANDSAT_5,LANDSAT_7,LANDSAT_8' -measurements: - - name: count_wet - dtype: int16 - nodata: -1 - units: '1' - - name: count_clear - dtype: int16 - nodata: -1 - units: '1' - - name: frequency - dtype: float32 - nodata: -1 - units: '1' -storage: - crs: EPSG:3577 - dimension_order: - - time - - y - - x - resolution: - x: 25 - y: -25 - tile_size: - x: 100000.0 - y: 100000.0 diff --git a/digitalearthau/config/products/wofs_summary.odc-product.yaml b/digitalearthau/config/products/wofs_summary.odc-product.yaml deleted file mode 100644 index 3fa794e0..00000000 --- a/digitalearthau/config/products/wofs_summary.odc-product.yaml +++ /dev/null @@ -1,37 +0,0 @@ -name: wofs_summary -description: Water Observations from Space Statistics -metadata_type: eo - -metadata: - product_type: wofs_statistical_summary - format: - name: 'NetCDF' - instrument: - name: 'TM,ETM+,OLI' - platform: - code: 'LANDSAT_5,LANDSAT_7,LANDSAT_8' -measurements: - - name: count_wet - dtype: int16 - nodata: -1 - units: '1' - - name: count_clear - dtype: int16 - nodata: -1 - units: '1' - - name: frequency - dtype: float32 - nodata: -1 - units: '1' -storage: - crs: EPSG:3577 - dimension_order: - - time - - y - - x - resolution: - x: 25 - y: -25 - tile_size: - x: 100000.0 - y: 100000.0 diff --git a/digitalearthau/system.py b/digitalearthau/system.py index efc1e5b7..a7546118 100644 --- a/digitalearthau/system.py +++ b/digitalearthau/system.py @@ -11,11 +11,11 @@ from datacube.drivers import storage_writer_by_name DEA_MD_TYPES = digitalearthau.CONFIG_DIR / 'metadata-types.odc-type.yaml' -DEA_PRODUCTS_DIR = digitalearthau.CONFIG_DIR / 'products' -DEA_INGESTION_DIR = digitalearthau.CONFIG_DIR / 'ingestion' +DEA_PRODUCTS_DIR = digitalearthau.PRODUCTS_CONFIG_DIR / 'products' +DEA_INGESTION_DIR = digitalearthau.INGEST_CONFIG_DIR -DEA_EO3_TYPES = list((digitalearthau.CONFIG_DIR / 'eo3').rglob('*.odc-type.yaml')) -DEA_EO3_PRODUCTS_DIR = digitalearthau.CONFIG_DIR / 'eo3' / 'products' +DEA_EO3_TYPES = list((digitalearthau.EO3_CONFIG_DIR).rglob('*.odc-type.yaml')) +DEA_EO3_PRODUCTS_DIR = digitalearthau.EO3_CONFIG_DIR def print_header(msg):