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16 changes: 0 additions & 16 deletions docs/data/product/dea-intertidal/_access.md
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Expand Up @@ -30,8 +30,6 @@ The easiest way to access DEA Intertidal data is via our continental-scale cloud
The COG file format is a type of GeoTIFF raster file (`.tif`) that allows you to quickly and efficiently 'stream' data directly from the Amazon S3 cloud without having to download files to your computer.
This allows you to rapidly access data from the entire Australian continent without having to download large files.

VRT (Virtual Raster) files are also provided alongside the .tif mosaics. These files serve as lightweight wrappers around the main data and can be used to open data in GIS software with visual settings already applied.

For detailed instructions, please visit the [Continental Cloud-Optimised GeoTIFF Mosaics page](/guides/continental-cogs-geotiff-mosaics/)

:::
Expand All @@ -51,17 +49,3 @@ To download the data from the ELVIS (Elevation Information System) platform, fol

![Accessing DEA Intertidal on ELVIS](/_files/dea-intertidal/DEAIntertidal_ELVIS_access.jpg)
:::

:::{dropdown} How to download data from individual tiles (Not recommended)

```{warning}
Downloading individual tiles is **not recommended**, but can be useful for accessing small amounts of data.
```

1. Open the [DEA Intertidal](https://data.dea.ga.gov.au/?prefix=derivative/ga_s2ls_intertidal_cyear_3/) directory in DEA's Amazon S3 bucket.
1. Click on `ga_summary_grid_c3_32km_coastal.geojson` to download the file to your computer. This file can be used in a GIS package to identify the product tiles that you require for a given location. (Alternatively, you can access this file via DEA Maps to identify the required tiles: **Sea, ocean and coast** > **DEA Intertidal** > **DEA Intertidal 32 km tile grid**.)
1. Open the [DEA Intertidal](https://data.dea.ga.gov.au/?prefix=derivative/ga_s2ls_intertidal_cyear_3/2-0-0/) directory in DEA's Amazon S3 bucket and navigate into the folder of the tile that you require. The folder names are based on the 'x' and 'y' coordinate references. E.g. first enter the `x082` folder, then the `y122`.
1. Enter a directory of a particular year, e.g. `2018--P1Y`
1. Click to download the product layer of interest, e.g. `ga_s2ls_intertidal_cyear_3_x082y122_2021--P1Y_final_extents.tif`. Learn more about file naming and product layers: [Technical Information](./?tab=description#product-layers).
:::

70 changes: 36 additions & 34 deletions docs/data/product/dea-intertidal/_data.yaml
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Expand Up @@ -6,7 +6,7 @@ short_name: DEA Intertidal
full_technical_name: Geoscience Australia Sentinel-2 Landsat Intertidal Calendar Year Collection 3 
header_image: /_files/dea-intertidal/DEAIntertidal_prettypic_Elevation_ShoalPointQLD_XS_Size.png

version_number: 2.0.0
version_number: 2.1.0
is_latest_version: true
latest_version_link: null
is_provisional: false
Expand All @@ -16,7 +16,7 @@ spatial_data_type: RASTER

spatial_coverage: null
temporal_coverage_start: 2016
temporal_coverage_end: 2023
temporal_coverage_end: 2024
temporal_coverage_custom: null

data_update_frequency: YEARLY
Expand Down Expand Up @@ -63,51 +63,53 @@ tags:

# Access

access_links_maps:
- link: https://maps.dea.ga.gov.au/story/DEAIntertidal
name: null
access_links_maps: null

access_links_explorers:
- link: https://explorer.dea.ga.gov.au/products/ga_s2ls_intertidal_cyear_3
name: null
access_links_explorers: null

access_links_data:
- link: https://elevation.fsdf.org.au/
name: Download the data from ELVIS
- link: https://thredds.nci.org.au/thredds/catalog/jw04/ga_s2ls_intertidal_cyear_3/catalog.html
name: Access the data on NCI

access_links_code_examples:
- link: /notebooks/DEA_products/DEA_Intertidal/
name: null
- link: https://github.com/GeoscienceAustralia/dea-intertidal
name: GitHub repository
access_links_data: null

access_links_web_services:
- link: https://ows.dea.ga.gov.au/
name: Web Map Service (WMS)
access_links_code_examples: null

access_links_web_services: null

access_links_custom:
- link: https://data.dea.ga.gov.au/?prefix=derivative/ga_s2ls_intertidal_cyear_3/2-0-0/
icon: database
label: Data sources
name: AWS data
description: null
class: null
- link: ./?tab=access#access-guides
icon: database
label: Data sources
- type: map
link: https://maps.dea.ga.gov.au/story/DEAIntertidal

- type: explorer
link: https://explorer.dea.ga.gov.au/products/ga_s2ls_intertidal_cyear_3

- type: data
link: https://data.dea.ga.gov.au/?prefix=derivative/ga_s2ls_intertidal_cyear_3/2-1-0/
name: Access the data on AWS
- type: data
link: ./?tab=access#access-guides
name: How to stream data from AWS
description: null
class: null
- type: data
link: https://elevation.fsdf.org.au/
name: Download the data from ELVIS
- type: data
link: https://thredds.nci.org.au/thredds/catalog/jw04/ga_s2ls_intertidal_cyear_3/catalog.html
name: Access the data on NCI

- type: code_example
link: /notebooks/DEA_products/DEA_Intertidal/
- type: code_example
link: https://github.com/GeoscienceAustralia/dea-intertidal
name: GitHub repository

- type: web_service
link: https://ows.dea.ga.gov.au/
name: Web Map Service (WMS)

# History

previous_versions:
- version_number: 1.0.0
- version_number: 2.0.0
title: DEA Intertidal
slug: dea-intertidal-1.0.0
slug: dea-intertidal-2.0.0
- version_number: 2.0.0
title: Intertidal Extents Model (ITEM)
slug: dea-intertidal-extents-landsat-2.0.0
Expand Down
47 changes: 17 additions & 30 deletions docs/data/product/dea-intertidal/_description.md
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Expand Up @@ -30,7 +30,7 @@ All datasets are produced annually from a 3-year composite of input data from co

### What this product offers

The DEA Intertidal product suite is the next generation of intertidal products developed in DEA. It improves on the DEA Intertidal Elevation Model (also known as the [National Intertidal Digital Elevation Model](/data/product/dea-intertidal-elevation-landsat/) or NIDEM) (Bishop-Taylor et al., 2019) and adds several new features and products to help users better understand the intertidal environment.
The DEA Intertidal product suite is the next generation of intertidal products developed in DEA. It improves on the former [National Intertidal Digital Elevation Model](/data/product/dea-intertidal-elevation-landsat/) (NIDEM; Bishop-Taylor et al., 2019) and adds several new features and products to help users better understand the intertidal environment.

NIDEM was the first 3D model of Australia’s intertidal zone — the area of coastline exposed and flooded by ocean tides. The DEA Intertidal suite fundamentally changes and improves the way in which the exposed intertidal zone is modelled compared to the original NIDEM elevation model:

Expand All @@ -42,39 +42,24 @@ NIDEM was the first 3D model of Australia’s intertidal zone — the area o
* The implementation of an ensemble tidal modelling approach, acknowledging the wide range of global and regional tide models available and their varying performance across different regions of Australia. See [Ensemble Tidal Modelling](./?tab=description#ensemble-tidal-modelling).
* A coastal extents classification model that identifies five categorical classes to compliment the Elevation and Exposure products. This helps users to characterise different environments in the coastal zone in terms of their inundation characteristics and drivers, mapping confidence and nature of water cover.

### File Naming Convention

The [file naming convention](/guides/reference/collection_3_naming/) is as follows:

```text
{Organisation}_{Platform}_{Product}_{Reporting period}_{Collection}_{Tile reference}_{Data date}--{Data period}_{Product status}_{Band name}.{File extension}
```


### Datasets

Annual files for each of the product bands are available in DEA's Amazon S3 bucket in two formats: 32 km² tiles and continental mosaics.
For access and usage information, see the [Access tab](./?tab=access).
Annual raster files for each of the product bands are available in DEA's Amazon S3 bucket as continental mosaics in cloud-optimised GeoTIFF (COG) format.
These files support [fast and efficient data streaming](/guides/continental-cogs-geotiff-mosaics/) of single-band layers of the DEA Intertidal product.

32 km² grid tiles are available as downloadable GeoTIFF files, for example:

```text
ga_s2ls_intertidal_cyear_3_x082y139_2022--P1Y_final_elevation.tif
```
For access and usage information, see the [Access tab](./?tab=access).

Single-band annual continental data mosaics are delivered to support access and navigability of DEA Intertidal data in geospatial information system (GIS) environments.
These datasets, delivered in cloud-optimised GeoTIFF (COG) format, are recommended for fast and efficient data streaming of single-band layers of the DEA Intertidal product.
Here's an example of the COG file naming convention:
DEA Intertidal data follows the [DEA Collection 3 naming conventions](/guides/reference/collection_3_naming/):

```text
ga_s2ls_intertidal_cyear_3_2017_exposure.tif
ga_s2ls_intertidal_cyear_3_mosaic_2024--P1Y_elevation.tif
{Organisation}_{Platform}_{Product}_{Reporting period}_{Collection}_{Region}_{Data date}--{Data period}_{Band name}.{File extension}
```


### Code repositories

* [DEA Intertidal GitHub repository](https://github.com/GeoscienceAustralia/dea-intertidal) — A codebase for DEA Intertidal product generation workflows
* [EO-Tides GitHub repository](https://github.com/GeoscienceAustralia/eo-tides) — A codebase for integrating satellite Earth observations with tide modelling
* [eo-tides GitHub repository](https://github.com/GeoscienceAustralia/eo-tides) — A codebase for integrating satellite Earth observations with tide modelling
* [DEA Tools GitHub repository](https://github.com/GeoscienceAustralia/dea-notebooks) — Earth observation data manipulation tools
* [PyTMD GitHub repository](https://github.com/tsutterley/pyTMD) — Python-based tidal prediction software

Expand Down Expand Up @@ -193,26 +178,26 @@ An accumulated cost-distance connectivity layer used to constrain DEA Intertidal

### Ensemble Tidal Modelling

The Ensemble Tidal Modelling approach was implemented to account for the varying performance and biases of existing global ocean tide models across the complex tidal regimes and coastal regions of Australia (Figure 6). The ensemble process utilises ancillary data to select and weight tidal models at any given coastal location based on how well each model correlates with local satellite-observed patterns of tidal inundation and also based on water levels measured by satellite altimetry. A single ensemble tidal output was generated by combining the top three locally optimal models and then this was used for all downstream product workflows.
The Ensemble Tidal Modelling approach was implemented to account for the varying performance and biases of existing global ocean tide models across the complex tidal regimes and coastal regions of Australia. The ensemble process utilises ancillary data to select and weight tidal models at any given coastal location based on how well each model correlates with local satellite-observed patterns of tidal inundation and water levels measured by satellite altimetry. A single ensemble tidal output was generated by combining the top three locally optimal models, and used for all downstream product workflows. This ensemble significantly improves the quality of the resulting intertidal DEMs compared to using a single tide model (Figure 6).

Ensemble tide modelling was implemented in the [eo-tides](https://github.com/GeoscienceAustralia/eo-tides) Python package which integrates satellite Earth observation data with tide modelling. It leverages tide modelling functionality from the [pyTMD](https://github.com/tsutterley/pyTMD) package. The ensemble was based on 10 commonly-used global ocean tidal models:
Ensemble tide modelling was implemented in the [eo-tides](https://github.com/GeoscienceAustralia/eo-tides) Python package which integrates satellite Earth observation data with tide modelling (Bishop-Taylor et al. 2025). It leverages tide modelling functionality from the [pyTMD](https://github.com/tsutterley/pyTMD) package. The ensemble was based on 9 commonly-used global ocean tidal models:

* Empirical Ocean Tide Model (EOT20; Hart-Davis et al., 2021)
* Finite Element Solution tide models (FES2012, FES2014, FES2022; Carrère et al., 2012; Lyard et al., 2021; Carrère et al., 2022)
* TOPEX/POSEIDON global tide models (TPXO8, TPXO9, TPXO10; Egbert and Erofeeva., 2002, 2010)
* Global Ocean Tide models (GOT4.10, GOT5.5, GOT5.6; Ray, 2013, Padman et al., 2018)
* Global Ocean Tide models (GOT4.10, GOT5.6; Ray, 2013, Padman et al., 2018)

:::{figure} /_files/dea-intertidal/ensembletides.*
:::{figure} /_files/dea-intertidal/ensembletides_updated.*
:alt: Ensemble tide validation Figure

Figure 6. Global tide models validated at Australian Baseline Sea Level Monitoring Project (ABSLMP) and Global Extreme Sea Level Analysis (GESLA) tide gauges.
Figure 6. Comparison of intertidal DEMs generated using (a) a single standard tide model (FES2014), and (b) the ensemble tide modelling approach.
:::

## Lineage

The DEA Intertidal product suite extends the concepts developed in the DEA Intertidal Elevation (NIDEM) product, integrating higher resolution 10 m Sentinel-2 data with the original 30 m Landsat data to create annual elevation models and exposure product layers for Australia’s intertidal zone.
The DEA Intertidal product suite extends the concepts developed in the [National Intertidal Digital Elevation Model (NIDEM)](/data/version-history/dea-intertidal-elevation-landsat-1.0.0) product, integrating higher resolution 10 m Sentinel-2 data with the original 30 m Landsat data to create annual elevation models and exposure product layers for Australia’s intertidal zone.

This shift to a more dynamic product suite is achieved through a pixel-based algorithm, replacing the waterline interpolation methods of NIDEM, and an improved tidal modelling process to better leverage the increased data resolution and density provided by the inclusion of Sentinel-2 data.
This shift to a more dynamic product suite is achieved through a pixel-based algorithm, replacing the waterline interpolation methods of NIDEM, and an improved tidal modelling process to better leverage the increased data resolution and density provided by the inclusion of Sentinel-2 data.

## Processing Steps

Expand All @@ -232,6 +217,8 @@ This shift to a more dynamic product suite is achieved through a pixel-based alg

ABARES, 2021. Catchment Scale Land Use of Australia - Update December 2020, Australian Bureau of Agricultural and Resource Economics and Sciences, Canberra

Bishop-Taylor, R., Phillips, C., Sagar, S., Newey, V., & Sutterley, T., 2025. eo-tides: Tide modelling tools for large-scale satellite Earth observation analysis. *Journal of Open Source Software*, 10(109), 7786. https://doi.org/10.21105/joss.07786

Bishop-Taylor, R., Sagar, S., Lymburner, L., Beaman, R.J., 2019. Between the tides: Modelling the elevation of Australia’s exposed intertidal zone at continental scale. *Estuarine, Coastal and Shelf Science* 23, 115–128.

Carrère L., F. Lyard, M. Cancet, A. Guillot, L. Roblou, 2012. FES2012: A new global tidal model taking advantage of nearly 20 years of altimetry, *Proceedings of meeting "20 Years of Altimetry"*, Venice 2012
Expand Down
15 changes: 11 additions & 4 deletions docs/data/product/dea-intertidal/_history.md
Original file line number Diff line number Diff line change
@@ -1,14 +1,21 @@
## Changelog

## DEA Intertidal 2.0.0
### DEA Intertidal 2.1.0

In May 2025, DEA Intertidal was [updated to version 2.0.0](https://github.com/GeoscienceAustralia/dea-intertidal/releases/tag/2.0.0) and 2023 data was added to all layers in the product suite. This update also includes the following changes.
In April 2026, DEA Intertidal was updated to version 2.1.0, and 2024 data was added to all layers in the product suite. This update also includes the following changes:

* DEA Intertidal data is now provided natively as continental Cloud Optimised GeoTIFF mosaics. Visit the [Continental Cloud-Optimised GeoTIFF Mosaics page](/guides/continental-cogs-geotiff-mosaics/) for further details.
* Minor improvements to the ensemble tide modelling functionality used to model intertidal elevation.

### DEA Intertidal 2.0.0

In May 2025, DEA Intertidal was [updated to version 2.0.0](https://github.com/GeoscienceAustralia/dea-intertidal/releases/tag/2.0.0) and 2023 data was added to all layers in the product suite. This update also includes the following changes:

* The [DEA Intertidal Extents](/data/product/dea-intertidal/?tab=description#core-product-layers) layer was added. This new data layer, in combination with the existing elevation and exposure layers supersedes the [DEA Intertidal Extents Model (ITEM)](/data/version-history/dea-intertidal-extents-landsat-2.0.0/) product. (The ITEM product has hence been deprecated.)
* [Ensemble tide modelling](/data/product/dea-intertidal/?tab=description#ensemble-tidal-modelling) is now delivered via the [eo-tides](https://github.com/GeoscienceAustralia/eo-tides) tide modelling Python package.
* New quality assessment layers were added: [qa_count_clear](/data/product/dea-intertidal/?tab=description#quality-assessment-layers) and [qa_coastal_connectivity](/data/product/dea-intertidal/?tab=description#quality-assessment-layers).

## DEA Intertidal 1.0.0
### DEA Intertidal 1.0.0

In April 2024, [version 1.0.0 was released](https://github.com/GeoscienceAustralia/dea-intertidal/releases/tag/1.0.0) of the DEA Intertidal product suite. The elevation data layer of this product supersedes the [National Intertidal Digital Elevation Model](/data/version-history/dea-intertidal-elevation-landsat-1.0.0/) product. (The Intertidal Elevation product has hence been deprecated.)
In April 2024, [version 1.0.0 was released](https://github.com/GeoscienceAustralia/dea-intertidal/releases/tag/1.0.0) of the DEA Intertidal product suite. The elevation data layer of this product supersedes the [National Intertidal Digital Elevation Model](/data/version-history/dea-intertidal-elevation-landsat-1.0.0/) product. (The National Intertidal Digital Elevation Model product has hence been deprecated.)

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