AI-generated Key Takeaways
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Several datasets provide detailed information on grasslands and rangelands, including dominant class, probabilities of cultivated and natural/semi-natural types, and component cover and trends over time.
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These datasets cover different spatial extents and time periods, with some focusing on global coverage from 2000-2022 and others on western North America from 1985-2023.
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The data is produced by initiatives like the Land & Carbon Lab Global Pasture Watch and utilizes imagery such as Landsat.
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Key applications for these datasets include monitoring land use and land cover changes, assessing rangeland condition, and analyzing climate change and disturbance impacts.
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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 -
RCMAP Rangeland Component Timeseries (1985-2023), v06
'The RCMAP (Rangeland Condition Monitoring Assessment and Projection) dataset quantifies the percent cover of rangeland components across western North America using Landsat imagery from 1985-2023. The RCMAP product suite consists of ten fractional components: annual herbaceous, bare ground, herbaceous, litter, non-sagebrush shrub, perennial herbaceous, sagebrush, … climate-change disturbance landsat-derived landuse-landcover nlcd rangeland -
RCMAP Rangeland Trends Year for Component Timeseries (1985-2023), v06
This collection includes RCMAP yearly products from 1985 through 2023. The RCMAP (Rangeland Condition Monitoring Assessment and Projection) dataset quantifies the percent cover of rangeland components across western North America using Landsat imagery from 1985-2023. The RCMAP product suite consists of ten fractional components: annual … climate-change disturbance landsat-derived landuse-landcover nlcd rangeland -
RCMAP Rangeland Trends for Component Timeseries (1985-2023), v06
The RCMAP (Rangeland Condition Monitoring Assessment and Projection) dataset quantifies the percent cover of rangeland components across western North America using Landsat imagery from 1985-2023. The RCMAP product suite consists of ten fractional components: annual herbaceous, bare ground, herbaceous, litter, non-sagebrush shrub, perennial herbaceous, sagebrush, … climate-change disturbance landsat-derived landuse-landcover nlcd rangeland