AI-generated Key Takeaways
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The Global Pasture Watch (GPW) initiative provides annual global maps of grassland types at 30-meter resolution from 2000 to 2022.
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The datasets include probabilities of cultivated, natural/semi-natural, and dominant class of grasslands.
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Grassland extent is defined as any land cover with at least 30% dry or photosynthetic vegetation.
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These datasets are produced by the Land & Carbon Lab and are available for global analysis.
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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