Tiled and re-symbolized data of the Grassland categorical tree cover 2020" for web visualization optimization. This product provides categorical tree cover across the Great Plains biome. Class categorization was performed with the cover 2.0 product at 480m resolution. Agriculture, development, and water were masked out according to the NLCD 2016 Land Cover product. Thematic raster data represents tree canopy cover in the following classes: 0: 0-4% 1: >=5% 255: no data Coordinate reference system Data are in WGS84 Geographic Coordinate System (EPSG:4326); spatial resolution is approximately 480m.Download tip ============ To download a specific location, use the GDAL virtual file system. For example, the following gdal_translate command will retrieve a small section of Montana (see the gdal_translate documentation for more information): gdal_translate -co compress=lzw -co tiled=yes -co bigtiff=yes \ /vsicurl/http://rangeland.ntsg.umt.edu/data/rap/rap-derivatives/great-plains/categorical-tree/great-plains-categorical-tree-2020.tif \ -projwin -108 48 -107 47 out.tif Terms of use This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ Data are provided "as is" without warranty of any kind, express or implied. Please attribute these data to: Allred, B. W., B. T. Bestelmeyer, C. S. Boyd, C. Brown, K. W. Davies, L. M. Ellsworth, T. A. Erickson, S. D. Fuhlendorf, T. V. Griffiths, V. Jansen, M. O. Jones, J. Karl, J. D. Maestas, J. J. Maynard, S. E. McCord, D. E. Naugle, H. D. Starns, D. Twidwell, and D. R. Uden. 2020. Improving Landsat predictions of rangeland fractional cover with multitask learning and uncertainty. bioRxiv:2020.06.10.142489. http://dx.doi.org/10.1101/2020.06.10.142489 Changelog 2020-06-26 Public data release.File-based data for download: https://rangeland.ntsg.umt.edu/data/rap/rap-derivatives/great-plains/categorical-tree/