AI-generated Key Takeaways
-
The Global Pasture Watch research consortium, initiated by the Land & Carbon Lab, focuses on developing global products for grasslands and livestock grazing.
-
The consortium comprises experts in geospatial monitoring, machine learning, ecology, and agriculture from leading research institutions.
-
Three key datasets are provided: annual probability maps of cultivated grasslands, dominant class maps of grasslands, and annual probability maps of natural/semi-natural grasslands.
-
These datasets offer global coverage from 2000 to 2022 at a 30-meter spatial resolution.
-
The mapped grassland extent includes any land cover type containing at least 30% grassland.
The Land & Carbon Lab, convened by the World Resources Institute (WRI) and the Bezos Earth Fund, established the Global Pasture Watch research consortium. The consortium, which is made up of experts in geospatial monitoring, machine learning, ecology and agriculture across some of the world's leading research institutions, is developing global products for grasslands and livestock grazing in the 21st century.
-
GPW Annual Dominant Class of Grasslands v1
This dataset provides global annual dominant class maps of grasslands (cultivated and natural/semi-natural) from 2000 to 2022 at 30-m spatial resolution. Produced by the Land & Carbon Lab Global Pasture Watch initiative, the mapped grassland extent includes any land cover type, which contains at least … global global-pasture-watch land landcover landuse landuse-landcover -
GPW Annual Probabilities of Cultivated Grasslands v1
This dataset provides global annual probability maps of cultivated grassland from 2000 to 2022 at 30-m spatial resolution. Produced by the Land & Carbon Lab Global Pasture Watch initiative, the mapped grassland extent includes any land cover type, which contains at least 30% of dry … global global-pasture-watch land landcover landuse landuse-landcover -
GPW Annual Probabilities of Natural/Semi-natural Grasslands v1
This dataset provides global annual probability maps of natural/semi-natural grassland from 2000 to 2022 at 30-m spatial resolution. Produced by the Land & Carbon Lab Global Pasture Watch initiative, the mapped grassland extent includes any land cover type, which contains at least 30% of dry … global global-pasture-watch land landcover landuse landuse-landcover -
GPW Annual short vegetation height v1
This dataset provides global median vegetation height from 2000 at 30-m spatial resolution. Produced by the Land & Carbon Lab’s Global Pasture Watch initiative, this dataset provides median vegetation height values (50th percentile) globally at 30-m spatial resolution from 2000 onwards. The dataset is based … canopy global global-pasture-watch land landcover plant-productivity -
GPW Annual uncalibrated Gross Primary Productivity (uGPP) v1
This dataset provides global uncalibrated EO-based Gross Primary Productivity from 2000 at 30-m spatial resolution. Produced by the Land & Carbon Lab Global Pasture Watch initiative, the current dataset provides Gross Primary Productivity (GPP) values globally at 30-m spatial resolution from 2000 onwards. GPP values … global global-pasture-watch land landcover landuse plant-productivity