WO Stats updates on 15 Apr 2026

docs/data/product/dea-water-observations-statistics-landsat/_data.yaml

@@ -5,7 +5,7 @@
 short_name: DEA Water Observations Statistics (Landsat)
 full_technical_name: Geoscience Australia Landsat Water Observation Statistics Collection 3
 header_image: /_files/cmi/WOfS-Burketown-Normanton-QLD.png
-version_number: 2.0.0
+version_number: "2.0.0 (except ga_ls_wo_fq_myear_3 is 2.1.0)"
 is_latest_version: true
 latest_version_link: null
 is_provisional: false
@@ -14,9 +14,9 @@ lineage_type: DERIVATIVE
 spatial_data_type: RASTER
 
 spatial_coverage: null
-temporal_coverage_start: 1986
-temporal_coverage_end: 2025
-temporal_coverage_custom: null
+temporal_coverage_start: null
+temporal_coverage_end: null
+temporal_coverage_custom: "1986/1987 to 2025 (see `Technical information <./?tab=description#technical-information>`_)"
 
 data_update_frequency: YEARLY
 data_update_activity: ONGOING
@@ -70,6 +70,9 @@ access_links_code_examples: null
 access_links_web_services: null
 
 access_links_custom:
+  - type: map
+    link: https://maps.dea.ga.gov.au/#share=s-x0R0IFIqxSFDJ54LK6sFDEfjh6i
+    name: Multi-year summary on DEA Maps
   - type: map
     link: https://maps.dea.ga.gov.au/#share=s-yIyPPjQlWxVBLg10WJBQd8KrMgt
     name: Apr-Oct summaries on DEA Maps
@@ -79,9 +82,6 @@ access_links_custom:
   - type: map
     link: https://maps.dea.ga.gov.au/#share=s-5fLlPp0Fk11iLTxUpCQPxTkVAH3
     name: Annual calendar year summaries on DEA Maps
-  - type: map
-    link: https://maps.dea.ga.gov.au/#share=s-x0R0IFIqxSFDJ54LK6sFDEfjh6i
-    name: All-time summary on DEA Maps
   - type: map
     link: https://digital.atlas.gov.au/apps/16e1fac8143341aaa87f761a8a2c330e/explore
     name: Water Observations Multi-Year Summary Explorer (Digital Atlas application)
@@ -91,30 +91,30 @@ access_links_custom:
   - type: explorer
     link: https://explorer.dea.ga.gov.au/products#inland-water-group
 
+  - type: data
+    link: https://data.dea.ga.gov.au/?prefix=derivative/ga_ls_wo_fq_myear_3/2-0-0/
+    name: Multi-year summary 1986 to near present - AWS access
+  - type: data
+    link: https://thredds.nci.org.au/thredds/catalog/jw04/ga_ls_wo_fq_myear_3/catalog.html
+    name: Multi-year summary 1986 to near present - NCI access
   - type: data
     link: https://data.dea.ga.gov.au/?prefix=derivative/ga_ls_wo_fq_apr_oct_3/2-0-0/
-    name: Apr-Oct summaries since 1986 - AWS access
+    name: Apr-Oct summaries - AWS access
   - type: data
     link: https://data.dea.ga.gov.au/?prefix=derivative/ga_ls_wo_fq_nov_mar_3/2-0-0/
-    name: Nov-Mar summaries since 1986 - AWS access
+    name: Nov-Mar summaries - AWS access
   - type: data
     link: https://data.dea.ga.gov.au/?prefix=derivative/ga_ls_wo_fq_cyear_3/2-0-0/
-    name: Annual calendar year summaries since 1986 - AWS access
+    name: Annual calendar year summaries - AWS access
   - type: data
-    link: https://data.dea.ga.gov.au/?prefix=derivative/ga_ls_wo_fq_myear_3/2-0-0/
-    name: All-time summary 1986 to near present - AWS access
+    link: https://thredds.nci.org.au/thredds/catalog/jw04/ga_ls_wo_fq_cyear_3/catalog.html
+    name: Annual calendar year summaries - NCI access
   - type: data
     link: https://thredds.nci.org.au/thredds/catalog/jw04/ga_ls_wo_fq_apr_oct_3/catalog.html
-    name: Apr-Oct summaries since 1986 - NCI access
+    name: Apr-Oct summaries - NCI access
   - type: data
     link: https://thredds.nci.org.au/thredds/catalog/jw04/ga_ls_wo_fq_nov_mar_3/catalog.html
-    name: Nov-Mar summaries since 1986 - NCI access
-  - type: data
-    link: https://thredds.nci.org.au/thredds/catalog/jw04/ga_ls_wo_fq_cyear_3/catalog.html
-    name: Annual calendar year summaries since 1986 - NCI access
-  - type: data
-    link: https://thredds.nci.org.au/thredds/catalog/jw04/ga_ls_wo_fq_myear_3/catalog.html
-    name: All-time summary 1986 to near present - NCI access
+    name: Nov-Mar summaries - NCI access
 
   - type: code_example
     link: /notebooks/DEA_products/DEA_Water_Observations/
@@ -123,17 +123,17 @@ access_links_custom:
     link: https://ows.dea.ga.gov.au/
   - type: web_service
     link: https://digital.atlas.gov.au/datasets/cf7486a7638c4b83b258b98cbbfdd084/explore
-    name: "DEA Water Observations Multi-Year Summary – Water Frequency (Digital Atlas Layer)"
+    name: "Multi-Year Summary - Water Frequency (Digital Atlas Layer)"
     description: Learn how to `create a map using Digital Atlas <https://digital.atlas.gov.au/apps/6b0a217d5c704e8fb6c353d6245585ce/explore>`_.
     label: Digital Atlas Layers
   - type: web_service
     link: https://digital.atlas.gov.au/datasets/ef2b925f63e84219b34fc064d8316931/explore
-    name: "Digital Earth Australia Water Observations Multi-Year Summary – Wet Count (Digital Atlas Layer)"
+    name: "Multi-Year Summary - Wet Count (Digital Atlas Layer)"
     description: Learn how to `create a map using Digital Atlas <https://digital.atlas.gov.au/apps/6b0a217d5c704e8fb6c353d6245585ce/explore>`_.
     label: Digital Atlas Layers
   - type: web_service
     link: https://digital.atlas.gov.au/datasets/f2d6989a225d4172bc9c2f49f7d35ae6/explore
-    name: "DEA Water Observations Multi-Year Summary – Clear Count (Digital Atlas Layer)"
+    name: "Multi-Year Summary - Clear Count (Digital Atlas Layer)"
     description: Learn how to `create a map using Digital Atlas <https://digital.atlas.gov.au/apps/6b0a217d5c704e8fb6c353d6245585ce/explore>`_.
     label: Digital Atlas Layers
 

docs/data/product/dea-water-observations-statistics-landsat/_description.md

@@ -1,6 +1,6 @@
 ## Background
 
-These are the statistics generated from the DEA Water Observations (Water Observations from Space) suite of products, which gives summaries of how often surface water was observed by the Landsat satellites for various periods (per year, per season and for the period from 1986 to near present).
+These are the statistics generated from the DEA Water Observations (Water Observations from Space) suite of products, which gives summaries of how often surface water was observed by the Landsat satellites for various periods (per year, per season and for the period from 1987 to 2025).
 
 Water Observations Statistics (WO-STATS) provides information on how many times the Landsat satellites were able to clearly see an area, how many times those observations were wet, and what that means for the percentage of time that water was observed in the landscape.
 
@@ -26,9 +26,10 @@ Each dataset in this product consists of the following datasets:
 As no confidence filtering is applied to this product, it is affected by noise where misclassifications have occurred in the input water classifications, and can be difficult to interpret on its own. 
 
 WO-STATS is available in multiple forms, depending on the length of time over which the statistics are calculated. At present the following are available:
-* **DEA WO Multi-Year:** `ga_ls_wo_fq_myear_3`: statistics calculated from the full depth of time series (1986 to 2025) unfiltered
+
+* **DEA WO Multi-Year:** `ga_ls_wo_fq_myear_3`: statistics calculated from the full depth of time series (1987 to 2025) unfiltered
 * **DEA WO Calendar Year:** `ga_ls_wo_fq_cyear_3`: statistics calculated from each calendar year (1986 to 2025)
-* **DEA WO November to March:** `ga_ls_wo_fq_nov_mar_3`: statistics calculated yearly from November to March (1986 to March 2025)
+* **DEA WO November to March:** `ga_ls_wo_fq_nov_mar_3`: statistics calculated yearly from November to March (1987 to March 2025)
 * **DEA WO April to October:** `ga_ls_wo_fq_apr_oct_3`: statistics calculated yearly from April to October (1986 to October 2025)
 
 In addition, a confidence-filtered Multi-Year Summary is under development, which will contain a confidence layer and subsequent filtered water frequency layer. This provides a noise-reduced view of the unfiltered multi-year summary.
@@ -49,7 +50,7 @@ For example, the November to March 2020–2021 season is reported with a central
 
 This product is created from the WO water classification (Water Observations (Landsat)). Every pixel location is analysed statistically to derive the count of clear observations, the count of clear-wet observations and then to calculate the percentage of clear observations that were also wet. This provides a 'normalised' water frequency product for all of Australia.
 
-Each product within the WO-STATS set is derived from the available Landsat observations within the respective period: calendar years; Apr-Oct each year; Nov-Mar each year; all-of-time (first available Landsat observation in the DEA archive to the most recent).
+Each product within the WO-STATS set is derived from the available Landsat observations within the respective period: calendar years; Apr-Oct each year; Nov-Mar each year; multiple years (1987 to 2025).
 
 To create the confidence layer required for the filtered product, a logistic regression is created between the un-filtered product and information about terrain, built-up areas, and coarse national water observations. In this way the confidence reflects the likelihood that the observed water is scientifically feasible at every pixel.
 

docs/data/product/dea-water-observations-statistics-landsat/_history.md

@@ -1,5 +1,11 @@
 ## Changelog
 
+### 9 Apr 2026: Latest updates
+
+* DEA WO Multi-Year (`ga_ls_wo_fq_myear_3`) was updated from version 2.0.0 to 2.1.0. (The other three products remain on version 2.0.0: `ga_ls_wo_fq_cyear_3`, `ga_ls_wo_fq_nov_mar_3`, `ga_ls_wo_fq_apr_oct_3`.)
+* All four products were updated to include 2025 data.
+* DEA WO Multi-Year (`ga_ls_wo_fq_myear_3`) and DEA WO November to March (`ga_ls_wo_fq_nov_mar_3`) data coverage now starts from 1987 (instead of 1986).
+
 ### 10 Sep 2025: DEA data in the Digital Atlas of Australia
 
 The [DEA Coastlines](/data/product/dea-coastlines/), [DEA Mangroves](/data/product/dea-mangroves/), and [DEA Water Observations Multi-Year Summary](/data/product/dea-water-observations-statistics-landsat/) datasets have now been added to the Digital Atlas, joining [DEA Land Cover](/data/product/dea-land-cover-landsat/). This integration marks a significant milestone in how DEA data can be accessed, visualised, and applied. By embedding DEA products into the Digital Atlas, users can now interact with trusted Earth observation datasets alongside other authoritative national data — unlocking powerful new opportunities for cross-sector analysis and decision-making.