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File Geodatabase Feature Class
Statewide landcover and trees study 2017 to 2018 Queensland
The classes are identified by the [code] attribute as follows: 1- Pasture; 2- Crop; 3- Settlement; 4- Mine; 5- Infrastructure; 6- Timber plantation; 7- Thinning; 8- Missed clearing in previous period; 10- Natural disaster damage; 11- Natural tree death. Due to the range of overpass dates, the SLATS mapping period is not a precise 365-day period, and this also varies from scene to scene. This means that the area of clearing mapped in a given period is not necessarily comparable to the area mapped in another period; variations in the satellite overpass dates mean that reporting periods can be longer or shorter than a year. Therefore, for reporting, the total area of mapped clearing (hectares) is converted to an annual clearing rate (hectares/year) based on a 1st August–1st August period. This conversion makes the results comparable by re-weighting shorter or longer periods, based on the assumption that clearing occurs at a uniform rate throughout the year. Refer to section 2 of the 2015–16 report for more information: ‘Land cover change in Queensland 2015–16: Statewide Landcover and Trees Study. (2017) Department of Environment and Science available online at http://www.qld.gov.au/environment/land/vegetation/mapping/slats-reports/. Refer to the ‘Land cover change in Queensland' report relevant to the 2015-2016 data period for lineage information. Reports are available online at http://www.qld.gov.au/environment/land/vegetation/mapping/slats-reports/. The final raster mosaic was vectorised and attributed to a uniform set of attributes, consistent across all SLATS periods. Geometrically corrected Landsat 5 Thematic Mapper (TM), Landsat 7 Enhanced Thematic Mapper Plus (ETM+) or Landsat 8 Operational Land Imager (OLI) L1T images are acquired from the USGS (http://earthexplorer.usgs.gov/), and radiometric standardisation, and topographic correction applied. Cloud, smoke and shadow contamination were masked, using automatic masks generated using the methods of Zhu & Woodcock (2012), combined with manual editing to ensure accuracy. All the data described here has been generated from the analysis of Landsat 5 TM, Landsat 7 ETM+ and Landsat 8 OLI data acquired as ortho-rectified L1T images from USGS. Imagery has a spatial resolution of 30m. Analyses by the USGS suggest that the locational error is below a single pixel (Storey et al, 2014). Reference: Storey J, Choate M, and Lee K, (2014) ‘Landsat 8 Operational Land Imagery On-Orbit Geometric Calibration and Performance’ Remote Sensing, 6(11), pp. 11127-11152.
The Statewide Landcover and Trees Study (SLATS) has been mapping and reporting on woody vegetation clearing in Queensland since 1988 using Landsat satellite imagery. This dataset shows woody vegetation clearing detected in the 2017–18 mapping period only.
© State of Queensland (Department of Environment and Science) 2020. This material is licensed under a Creative Commons - Attribution 3.0 Australia licence.
Vegetation change
land cover change
Vegetation change
land cover change
The Department of Environment and Science requests attribution in the following manner: State of Queensland (Department of Environment and Science) 2020. Updated data available at http://qldspatial.information.qld.gov.au/catalogue//
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