Data

Account-ready data: ecosystem extent in the Murray-Darling Basin. A data collection from the Regional Ecosystem Accounting Pilot projects

Commonwealth Scientific and Industrial Research Organisation
Khan, Sana ; Newnham, Glenn ; Richards, Anna ; Johnson, Steph ; Tetreault Campbell, Sally ; Schmidt, Becky
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25919/5dt8-5k47&rft.title=Account-ready data: ecosystem extent in the Murray-Darling Basin. A data collection from the Regional Ecosystem Accounting Pilot projects&rft.identifier=https://doi.org/10.25919/5dt8-5k47&rft.publisher=Commonwealth Scientific and Industrial Research Organisation&rft.description=This collection comprises account-ready data for ecosystem extent in the Murray-Darling Basin, developed in the ‘Ecosystem Accounts for the Murray-Darling Basin’ project, one of two Regional Ecosystem Accounting Pilot (REAP) projects delivering ecosystem accounts at sub-national scales. The account-ready data in this collection are used to compile ecosystem extent accounts for the Murray-Darling Basin. These data describe spatial distribution of 16 ecosystem types from 1988 to 2020 across the Murray-Darling Basin. The annual layers are in raster format (GeoTiffs) at a spatial resolution of 100 m × 100 m pixel using the GDA2020 Australian Albers coordinate projection system (EPSG:9473). These ecosystem extent data have been derived using expert-based decision tree rules that are built upon two time-series products: (i) the dynamic remotely sensed Land Cover Classification System (LCCS), including Digital Earth Australia (DEA) land cover and fractional cover datasets (Geoscience Australia 2021, https://www.dea.ga.gov.au/) (Owers et al. 2022, https://doi.org/10.1080/17538947.2022.2130461), and (ii) the National Carbon Accounting System (NCAS) woody, sparse woody and non woody mapping (DISER 2021). The decision rules also included three static datasets: (i) the Australian National Aquatic Ecosystems (ANAE) classification for the MDB (Brooks 2021, https://brooks.eco/projects/the-australian-national-aquatic-ecosystems-anae-classification-of-the-murray-darling-basin_117s31), (ii) the Australian Hydrological Geospatial Fabric (Geofabric v3.0; Bureau of Meteorology 2015, http://www.bom.gov.au/water/geofabric/documents/v3_0/ahgf_productguide_V3_0_release.pdf) and (iii) flood inundation probability (Chen et al. 2012, https://publications.csiro.au/rpr/download?pid=csiro:EP124995&dsid=DS2). The decision tree rules were implemented in the Python programming language through a Jupyter Notebook interface (https://jupyter.org/). Read-only versions of the Jupyter Notebook code are included in this collection.\nLineage: Refer to 'Methods for developing account-ready: ecosystem extent in the Murray-Darling Basin' in the supporting files.&rft.creator=Khan, Sana &rft.creator=Newnham, Glenn &rft.creator=Richards, Anna &rft.creator=Johnson, Steph &rft.creator=Tetreault Campbell, Sally &rft.creator=Schmidt, Becky &rft.date=2024&rft.edition=v21&rft.relation=https://publications.csiro.au/publications/publication/Plcsiro:EP2023-5630&rft.relation=https://publications.csiro.au/publications/publication/Plcsiro:EP2023-5631&rft.coverage=westlimit=137.9763; southlimit=-38.15277; eastlimit=154.20569999999998; northlimit=-23.986060000000002; projection=WGS84&rft_rights=Creative Commons Attribution 4.0 International Licence https://creativecommons.org/licenses/by/4.0/&rft_rights=Data is accessible online and may be reused in accordance with licence conditions&rft_rights=All Rights (including copyright) CSIRO 2023.&rft_subject=Ecosystem accounting&rft_subject=SEEA EA&rft_subject=System of Environmental-Economic Accounting - Ecosystem Accounting&rft_subject=Sustainability accounting and reporting&rft_subject=Accounting, auditing and accountability&rft_subject=COMMERCE, MANAGEMENT, TOURISM AND SERVICES&rft.type=dataset&rft.language=English Access the data

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Creative Commons Attribution 4.0 International Licence
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Data is accessible online and may be reused in accordance with licence conditions

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Brief description

This collection comprises account-ready data for ecosystem extent in the Murray-Darling Basin, developed in the ‘Ecosystem Accounts for the Murray-Darling Basin’ project, one of two Regional Ecosystem Accounting Pilot (REAP) projects delivering ecosystem accounts at sub-national scales. The account-ready data in this collection are used to compile ecosystem extent accounts for the Murray-Darling Basin. These data describe spatial distribution of 16 ecosystem types from 1988 to 2020 across the Murray-Darling Basin. The annual layers are in raster format (GeoTiffs) at a spatial resolution of 100 m × 100 m pixel using the GDA2020 Australian Albers coordinate projection system (EPSG:9473). These ecosystem extent data have been derived using expert-based decision tree rules that are built upon two time-series products: (i) the dynamic remotely sensed Land Cover Classification System (LCCS), including Digital Earth Australia (DEA) land cover and fractional cover datasets (Geoscience Australia 2021, https://www.dea.ga.gov.au/) (Owers et al. 2022, https://doi.org/10.1080/17538947.2022.2130461), and (ii) the National Carbon Accounting System (NCAS) woody, sparse woody and non woody mapping (DISER 2021). The decision rules also included three static datasets: (i) the Australian National Aquatic Ecosystems (ANAE) classification for the MDB (Brooks 2021, https://brooks.eco/projects/the-australian-national-aquatic-ecosystems-anae-classification-of-the-murray-darling-basin_117s31), (ii) the Australian Hydrological Geospatial Fabric (Geofabric v3.0; Bureau of Meteorology 2015, http://www.bom.gov.au/water/geofabric/documents/v3_0/ahgf_productguide_V3_0_release.pdf) and (iii) flood inundation probability (Chen et al. 2012, https://publications.csiro.au/rpr/download?pid=csiro:EP124995&dsid=DS2). The decision tree rules were implemented in the Python programming language through a Jupyter Notebook interface (https://jupyter.org/). Read-only versions of the Jupyter Notebook code are included in this collection.
Lineage: Refer to 'Methods for developing account-ready: ecosystem extent in the Murray-Darling Basin' in the supporting files.

Available: 2024-02-27

Data time period: 1988-01-01 to 2020-04-01

This dataset is part of a larger collection

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154.2057,-23.98606 154.2057,-38.15277 137.9763,-38.15277 137.9763,-23.98606 154.2057,-23.98606

146.091,-31.069415