
Pipeline used to produce the global annual grassland class and extent for 2000—2022 (v1) within the scope of the Global Pasture Wath initiative. Source code was exported from github (https://github.com/wri/global-pasture-watch) release GGC-30m v1. Related resources Maps of dominant grassland:2000-2002 2003-2005 2006-2008 2009-2011 2012-2014 2015-2017 2018-2020 2021-2022 Probability maps of cultivated grassland:2000-2022 (All URLs) Probability maps of natural/semi-natural grassland:2000-2022 (All URLs) Grassland reference samples based on VHR imagery (2000–2022):GeoPackage files Global machine learning models (Random Forest):Parquet and joblib python files Reference sampling design derived by FSCV:GeoPackage and raster files Harmonized reference samples based on existing LULC dataset:GeoPackage and raster files Source code for reproducibility:GitHub release Mapping feedback tool:GeoWiki Data catalogues:OpenLandMap STAC Google Earth Engine Support For questions of bugs/inconsistencies related to the dataset raise a GitHub issue in https://github.com/wri/global-pasture-watch
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
