20220823 18021000 1.0 FALSE 002 AUS_GEEBAM_Fire_Severity 114.197432 153.563405 -43.454385 -10.579998 1 Geographic GCS_WGS_1984 Angular Unit: Degree (0.017453) <GeographicCoordinateSystem xsi:type='typens:GeographicCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/10.8'><WKT>GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433],AUTHORITY["EPSG",4326]]</WKT><XOrigin>-400</XOrigin><YOrigin>-400</YOrigin><XYScale>11258999068426.238</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>8.983152841195215e-09</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><LeftLongitude>-180</LeftLongitude><WKID>4326</WKID><LatestWKID>4326</LatestWKID></GeographicCoordinateSystem> 150000000 5000 20230626 17541400 20230626 17541400 E4170D64-F926-46A9-9856-24FCA107CA1D dataset Australian Government Department of Climate Change, Energy, the Environment and Water Data Manager GPO Box 3090 Canberra ACT 2601 geospatial@awe.gov.au AU 02 6274 1111 02 6274 1666 https://www.dcceew.gov.au Data Manager Australian Government Department of Climate Change, Energy, the Environment and Water Australian Government Department of Climate Change, Energy, the Environment and Water 20200701 external 46ebac333d5a0bd01c89bf1f911090f Australian Government Department of Climate Change, Energy, the Environment and Water Data manager (02) 6274 1111 (02) 6274 1333 GPO Box 3090 CANBERRA ACT 2601 AU geospatial@awe.gov.au https://www.dcceew.gov.au 002 True Australian Government Department of Climate Change, Energy, the Environment and Water Raster 1 QGIS Raster 1 https://www.dcceew.gov.au 002 Raster Dataset 1 Esri ArcGIS 10.6.0.8321 AUS GEEBAM Fire Severity NIAFED20200224 2020-06-30T00:00:00 Australian Government Department of Climate Change, Energy, the Environment and Water Data Manager GPO Box 3090 Canberra ACT 2601 geospatial@awe.gov.au AU 02 6274 1111 02 6274 1666 https://www.dcceew.gov.au Data Manager Australian Government Department of Climate Change, Energy, the Environment and Water 1 114.197432 153.563405 -10.579998 -43.454385 Australian Government Department of Climate Change, Energy, the Environment and Water Data Manager GPO Box 3090 Canberra ACT 2601 geospatial@awe.gov.au AU 02 6274 1111 02 6274 1666 https://www.dcceew.gov.au Data Manager Australian Government Department of Climate Change, Energy, the Environment and Water Australian Government Department of Climate Change, Energy, the Environment and Water Australian Government Department of Climate Change, Energy, the Environment and Water Data Manager GPO Box 3090 Canberra ACT 2601 geospatial@awe.gov.au AU 02 6274 1111 02 6274 1666 https://www.dcceew.gov.au Data Manager Australian Government Department of Climate Change, Energy, the Environment and Water Australian Government Department of Climate Change, Energy, the Environment and Water Australian Government Department of Climate Change, Energy, the Environment and Water CC BY This dataset is available under the CC - Attribution (CC BY) data licensing model and users are required to acknowledge the data provider. The data is supplied to the Department by the Remote Sensing and Landscape Science Branch, Science Economics and Insights Division, New South Wales Department of Planning, Industry and Environment. CC BY <DIV STYLE="text-align:Left;"><DIV><DIV>While every effort has been made to ensure accuracy and completeness, no guarantee is given, nor responsibility taken by the Commonwealth for errors or omissions, and the Commonwealth does not accept responsibility in respect of any information or advice given in relation to, or as a consequence of, anything containing herein.</DIV></DIV></DIV> published externally http://intspat01.ris.environment.gov.au/metadata_int/images/E4170D64-F926-46A9-9856-24FCA107CA1D.jpg AUS GEEBAM was developed by: The Remote Sensing and Landscape Science Branch, Science Economics and Insights Division, New South Wales Department of Planning, Industry and Environment. <DIV STYLE="text-align:Left;">The Australian Google Earth Engine Burnt Area Map (AUS GEEBAM) is a rapid, national approach to fire severity mapping. It has been developed rapidly to support the immediate needs of the Department of Climate Change, Energy, the Environment and Water (DAWE) in:a) quantifying the potential impacts of the 2019/20 bushfires on wildlife, plants and ecological communities, andb) identifying appropriate response and recovery actions.AUS GEEBAM Fire Severity uses Sentinel 2A satellite imagery from before and after fire to estimate the severity of burn within each 40m grid cell. Fire severity is defined as a metric of the loss or change in organic matter caused by fire.The extent of the 2019/2020 fires was derived from the National Indicative Aggregated Fire Extent Dataset (NIAFED). NIAFED was sourced from the national Emergency Management Spatial Information Network Australia (EMSINA) data service, which is the official fire extent currently used by the Commonwealth and adds supplementary data from other sources to form a cumulative national view of fire extent.AUS GEEBAM relies on a vegetation index (Relativised Normalized Burnt Ratio, RNBR) that is calculated for burnt areas and adjacent unburnt areas, before and after the fire season. The result is a map of four fire severity classes that represent how severely vegetation was burnt during the 2019/2020 fires.To determine a reference unburnt condition, the NIAFED extent was buffered by 2km. For each NVIS broad vegetation type, in each IBRA bioregion a reference unburnt RNBR class was determined. That value was available to calculate a standardised offset or a reference unburnt value.Each IBRA bioregion was systematically assessed to correct for obvious errors. For example, the Very High severity class could be adjusted down by one RNBR Value for a fire where its extent extended into an area of lower severity. Conversely, there were areas of shrublands that had clearly burnt at Very High severity where all of the biomass is likely to have been consumed but low pre-fire biomass had given it a lower RNBR Value.Each pixel of AUS GEEBAM contains the raw RNBR Value, the RNBR Class and the GEEBAM Value. This allows an end user to observe which values have been adjusted during the calibration away from the default global RNBR Value and allows for some transparency in the process.Overview of GEEBAM values and their classes:1 - No data: No data indicates areas outside NIAFED or NVIS categories that do not represent native vegetation (e.g. cleared land, water).2 - Unburnt: Little or no change observed between pre-fire and post-fire imagery.3 - Low and Moderate: Some change or moderate change detected when compared to reference unburnt areas outside the NIAFED extent.4 - High: Vegetation is mostly scorched.5 - Very high: Vegetation is clearly consumed.Known Issues:The dataset has a number of known issues, both in its conceptual design and in the quality of its inputs. These are outlined below and should be taken into account when interpreting the data and developing any derived analyses.The list of known issues below is not comprehensive, it is anticipated that further issues will be identified, and the Department welcomes feedback on this. We will seek as far as possible to continuously improve the dataset in future versions.1. AUS GEEBAM classes are not based on field data and no confidence interval or report on accuracy has been provided.2. The number of severity classes has been reduced by combining low and moderate severity fires. Single index thresholds are known to feature poor delineation of low fire severity classes.3. AUS GEEBAM classes are calibrated systematically for each bioregion using visual interpretation of Sentinel 2 false colour composites. 4. The limitations associated with the NIAFED are carried through to this dataset. Users are advised to refer to the NIAFED documentation to better understand limitations.5. This continental dataset includes large burnt areas, particularly in northern Australia, which can be considered part of the natural landscape dynamics. For the intended purpose of informing on the potential impact of fire on the environmental, some interpretation and filtering may be required. 6. The NIAFED dataset used as the extent layer for AUS GEEBAM Fire Severity is current as of 24 February 2020. More recent versions were available at the time of creation, however, these would have introduced burnt areas from a second fire season in Northern Australia where fire patterns differ greatly to that of southern Australia. </DIV> Australian Government Department of Climate Change, Energy, the Environment and Water Data Manager GPO Box 3090 Canberra ACT 2601 geospatial@awe.gov.au AU 02 6274 1111 02 6274 1666 https://www.dcceew.gov.au Data Manager Australian Government Department of Climate Change, Energy, the Environment and Water Australian Government Department of Climate Change, Energy, the Environment and Water The analysis was undertaken by the NSW Department of Primary Industries Remote Sensing and Landscape Science team in coorporation with the Australian Government Department of Climate Change, Energy, the Environment and Water during March to June 2020 using preliminary national data for the 2019/20 bushfire season commencing 1 July 2019. Variable 1 2020-06-30T00:00:00 2020-06-30T00:00:00 Attribution has been removed from the provided data. 1 2020-06-30T00:00:00 2020-06-30T00:00:00 1 While the fire severity itself is nationally consistent the dataset draws data together from multiple different sources, including from state and territory agencies responsible for emergency and natural resource management, and from the Northern Australian Fire Information website to form the fire extent layer. The variety of mapping methods and attribution approaches means, conceptually, that the dataset lacks national coherency. 2020-06-30T00:00:00 2020-06-30T00:00:00 1 The limitations associated with the input datasets will flow through to this dataset. Users are advised to refer to the input datasets’ documentation to better understand their limitations. 2020-06-30T00:00:00 2020-06-30T00:00:00 2 1 0 114.197432 -43.454385 114.197432 -10.579998 153.563405 -10.579998 153.563405 -43.454385 133.880418 -27.017191 109555 0.000359 91489 0.000359 EPSG 6.2(3.0.1) AUS_GEEBAM_Fire_Severity_NIAFED20200224.tif Table 98 OBJECTID OBJECTID OID 4 10 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. Value VALUE Integer 4 10 0 Count COUNT Double 8 38 8 RNBR RNBR Integer 4 10 0 RNBRcls RNBRCLS Integer 4 10 0 GEEBAMcls GEEBAMCLS Integer 4 10 0 GEEBAM GEEBAM String 50 0 0 Pixel 91489 109555 0.000359 0.000359 8 1 Upper Left FALSE NONE 1 pixel codes SDR TRUE row and column 0.000359 0.000359