Global Pasture Watch - Annual short vegetation height maps at 30-m spatial resolution (2000—2022)

Sub-dataset: Median vegetation height, 2008—2009 Description Global annual maps of median vegetation height for 2000—2022 produced within the scope of the Global Pasture Wath initiative, integrating multi-sensor remote sensing data (LIDAR ICESat-2, Landsat, MODIS and DTM) and based on spatiotemporal Machine Learning (Gradient boosting trees). While the primary focus is on improving monitoring in short vegetation ecosystems, the dataset provides wall-to-wall coverage to all terrestrial ecosystems and is organized in 70 global mosaics in COG (Cloud Optimized GeoTIFF) format, WGS84 Coordinate Systems (EPSG:4326) and pixel size equal to 0.00025 (STAC and GEE) and 0.00075 degrees (Zenodo), including: Median vegetation height: Mean predicted value: 23 annual maps with values range from 0–20 (embedded scale factor 0.1) Percentile 5th value (upper prediction boundary): 23 annual maps with values range from 0–20 (embedded scale factor 0.1) Percentile 95th value (lower prediction boundary): 23 annual maps with values range from 0–20 (embedded scale factor 0.1) Trend analysis (2000—2022): Linear regression intercept (filtered p-value < 0.05, Mann-Kendall test): 1 long-term map with values range from -0.92–0.7 (embedded scale factor 0.0001) All raster files are in 16-bit integer format and use -3200 as no-data value (pixels covering ocean waters, lakes and water bodie), following an specific naming convention: Project name: Global Pasture Watch (gpw) Class name: Short vegetation height (short.veg.height) Procedure combination: Ensemble Gradient Boosting Trees (egbt), trend/intercept derived per-pixel via linear regression (trend), Mann-Kendall test (mk). Variable type: mean predicted value (m), 5th (p.05) and 95th percentiles (p.95) Spatial resolution: 30m Begin of time reference: date of first Landsat composite used by the modeling (20220101) End of time reference: date of last Landsat composite used by the modeling (20221231) Spatial extent: global (go) Coordinate system: World Geodetic System 1984, used in GPS (epsg.4326) Version: v1 Related resources Maps of median vegetation height:2000-2001 2002-2003 2004-2005 2006-2007 2008-2009 2010-2011 2012-2013 2014-2015 2016-2017 2018-2019 2020-2021 2022 Trend analysis map:2000—2022 Global reference samples and machine learning models:Parquet and joblib python files