20250804 13153900 1.0 FALSE qld_woody_extent_2023 593219.825000 2121658.293500 -3312387.501000 -1010412.032200 1 002 Projected GCS_GDA_1994 Linear Unit: Meter (1.000000) GDA_1994_Australia_Albers <ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' 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/3.1.0'><WKT>PROJCS["GDA_1994_Australia_Albers",GEOGCS["GCS_GDA_1994",DATUM["D_GDA_1994",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Albers"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",132.0],PARAMETER["Standard_Parallel_1",-18.0],PARAMETER["Standard_Parallel_2",-36.0],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Meter",1.0],AUTHORITY["EPSG",3577]]</WKT><XOrigin>-20220900</XOrigin><YOrigin>-14227600</YOrigin><XYScale>10000</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>3577</WKID><LatestWKID>3577</LatestWKID></ProjectedCoordinateSystem> 20250804 13162200 20250804 13162200 ISO19115_3 150000000 5000 0282d6e5-c9b3-4f48-807b-daef09b50f92 Statewide Landcover and Trees Study Queensland Sentinel-2 series dataset Rebecca FARRELL Scientific Data Manager rebecca.farrell@des.qld.gov.au Department of Environment and Science Andy Morgan PRINCIPAL SCIENTIST andrew.morgan@des.qld.gov.au 20250804 ArcGIS Metadata 1.0 Enterprise Geodatabase Feature Class Statewide Landcover And Trees Study (SLATS) Sentinel-2 - 2023 woody vegetation extent - Queensland Statewide Landcover And Trees Study (SLATS) Sentinel-2 - 2023 woody vegetation extent - Queensland 2025-05-30T14:00:00 2025-05-31T14:00:00 Andy Morgan - PRINCIPAL SCIENTIST <DIV STYLE="text-align:Left;"><DIV><P><SPAN>This dataset is a pre-packaged zip file containing the entire Queensland woody vegetation extent in file geodatabase format. The SLATS 2023 Woody extent dataset shows the presence/absence of woody vegetation throughout Queensland. The scale of the woody extent dataset is intended to capture features visible at a nominal map scale of 1:10,000: stands of woody vegetation greater than 0.5 ha with a canopy density greater than 10% crown cover will be classified as woody. A minimum width of 20 metres applies to linear features.</SPAN></P></DIV></DIV> A 2023 Woody Vegetation Extent for ongoing vegetation monitoring and reporting. © State of Queensland (Department of the Environment, Tourism, Science and Innovation) 2025 VEGETATION COVER LAND USE/LAND COVER Sentinel-2 woody vegetation VEGETATION land cover change regrwoth vegetation change vegetation extent VEGETATION COVER LAND USE/LAND COVER Sentinel-2 woody vegetation VEGETATION land cover change regrowth vegetation change vegetation extent OFFICIAL-PUBLIC © State of Queensland (Department of the Environment, Tourism, Science and Innovation) 2025 Creative Commons Attribution 4.0 International 10 The classes are categorised in the "Woody_extent_2023" field as 1 - Woody, 2 - Non-Woody. Features were categorised as either woody or non-woody based on a set of decision rules informed by visual inspection of the data, the needs of existing datasets/programs, and expert knowledge. These decisions were based on considerations for the SLATS and Spatial BioCondition programs, and other vegetation monitoring applications, as well as ecological characteristics of the vegetation. No distinction was made between native and non-native vegetation; woody vegetation such as woody weeds and horticultural crops are included as woody in the final classification. The dataset has been clipped to the Qld Coastline and state border boundary layer. The data is subdivided into a 25x25km grid to aid in drawing and editing performance. Esri ArcGIS 13.1.5.41833 1 137.244841 154.104523 -8.199822 -30.308504 Consistent methodology: The absolute accuracy has not been validated. Ongoing quality assessment and refinement was a core part of the data set development, to ensure consistency of mapping across the statewide product. Completeness Omission: The absolute accuracy has not been validated. The data set has a Minimum Mapping Unit of 0.5HA. The minimum width of linear woody features, e.g. narrow corridors of woody vegetation and nonwoody features, e.g. roads or power-line easements, is 20m. Both woody and nonwoody features smaller than these sizes have been filtered out of the data set. Positional Accuracy: The data set was generated from Pan-sharpened 80cm DMC3 Triplesat imagery acquired from Earth-I UK with a specified positional accuracy of 10m (90% confidence). This dataset is GDA2020 compatible. The source data, and therefore the captured features are georeferenced as GDA94 (horizontal only). The horizontal accuracy of the geo-referencing and/or data collection method for this example is greater than the datum offset between GDA94 and GDA2020 (1.8 metres). The resulting dataset has been nominated as a low-accuracy GDA2020 dataset. As this data set has not been directly measured in GDA2020, nor transformed to GDA2020 the resulting data is ‘GDA2020 compatible’, not Compliant. The Earth-I mosaics were resampled from 80cm to 1m using Cubic Convolution. A U-net convolutional neural network classification was fitted on the Earth-I data to produce an initial binary woody presence/absence classification, as described in Flood et al (2019). The classification was down-sampled to 10m and subsequently manually revised and edited by a team of remote sensing scientists, and quality checked by senior scientists. The dataset was updated using SLATS woody change data for the 2021-2022 reporting to produce a 2022 woody extent. The data was clipped to the Queensland coastline and land borders using the Australian_NAT_Framework geopolitical data set. References. Flood, N., Watson, F., Collett, L., 2019, Using a U-net convolutional neural network to map woody vegetation extent from high resolution satellite imagery across Queensland, Australia, International Journal of Applied Earth Observation and Geoinformation, Volume 82, ISSN 0303-2434, https://doi.org/10.1016/j.jag.2019.101897. Sensor: https://dataspace.copernicus.eu/explore-data/data-collections/sentinel-data/sentinel-2 Repsonsible party: Daniel TINDALL - Science Leader 5258848 EPSG 6.12(9.3.0.0) qld_woody_extent_2023 Feature Class 5258848 OBJECTID OBJECTID OID 4 10 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. Shape Shape Geometry 8 0 0 Feature geometry. Esri Coordinates defining the features. woody_extent_2023 woody_extent_2023 Integer 4 10 0 st_area(shape) st_area(shape) Double 0 0 0 st_perimeter(shape) st_perimeter(shape) Double 0 0 0 Simple FALSE 5258848 FALSE FALSE