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. [![Catalog Owner Logo](https://developers.google.com/static/earth-engine/datasets/logos/global-pasture-watch_logo.png)](https://landcarbonlab.org/data/global-grassland-and-livestock-monitoring) - |---| | [### GPW Annual Dominant Class of Grasslands v1 ![](https://developers.google.com/earth-engine/datasets/images/global-pasture-watch/projects_global-pasture-watch_assets_ggc-30m_v1_grassland_c_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_global-pasture-watch_assets_ggc-30m_v1_grassland_c) | | 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](https://developers.google.com/earth-engine/datasets/tags/global) [global-pasture-watch](https://developers.google.com/earth-engine/datasets/tags/global-pasture-watch) [land](https://developers.google.com/earth-engine/datasets/tags/land) [landcover](https://developers.google.com/earth-engine/datasets/tags/landcover) [landuse](https://developers.google.com/earth-engine/datasets/tags/landuse) [landuse-landcover](https://developers.google.com/earth-engine/datasets/tags/landuse-landcover) | - |---| | [### GPW Annual Probabilities of Cultivated Grasslands v1 ![](https://developers.google.com/earth-engine/datasets/images/global-pasture-watch/projects_global-pasture-watch_assets_ggc-30m_v1_cultiv-grassland_p_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_global-pasture-watch_assets_ggc-30m_v1_cultiv-grassland_p) | | 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](https://developers.google.com/earth-engine/datasets/tags/global) [global-pasture-watch](https://developers.google.com/earth-engine/datasets/tags/global-pasture-watch) [land](https://developers.google.com/earth-engine/datasets/tags/land) [landcover](https://developers.google.com/earth-engine/datasets/tags/landcover) [landuse](https://developers.google.com/earth-engine/datasets/tags/landuse) [landuse-landcover](https://developers.google.com/earth-engine/datasets/tags/landuse-landcover) | - |---| | [### GPW Annual Probabilities of Natural/Semi-natural Grasslands v1 ![](https://developers.google.com/earth-engine/datasets/images/global-pasture-watch/projects_global-pasture-watch_assets_ggc-30m_v1_nat-semi-grassland_p_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_global-pasture-watch_assets_ggc-30m_v1_nat-semi-grassland_p) | | 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](https://developers.google.com/earth-engine/datasets/tags/global) [global-pasture-watch](https://developers.google.com/earth-engine/datasets/tags/global-pasture-watch) [land](https://developers.google.com/earth-engine/datasets/tags/land) [landcover](https://developers.google.com/earth-engine/datasets/tags/landcover) [landuse](https://developers.google.com/earth-engine/datasets/tags/landuse) [landuse-landcover](https://developers.google.com/earth-engine/datasets/tags/landuse-landcover) | - |---| | [### GPW Annual livestock headcount FAOSTAT-adjusted v1 ![](https://developers.google.com/earth-engine/datasets/images/global-pasture-watch/projects_global-pasture-watch_assets_gld-1km_v1_livestock-headcount-faostat_m_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_global-pasture-watch_assets_gld-1km_v1_livestock-headcount-faostat_m) | | This dataset provides global livestock headcount from 2000 to 2022 at 1-km spatial resolution. Produced by the Land \& Carbon Lab's Global Pasture Watch initiative, the current dataset provides global headcount predictions adjusted to FAOSTAT national statistics. The dataset is based on the largest known ... | | [agriculture](https://developers.google.com/earth-engine/datasets/tags/agriculture) [global](https://developers.google.com/earth-engine/datasets/tags/global) [global-pasture-watch](https://developers.google.com/earth-engine/datasets/tags/global-pasture-watch) [gpw](https://developers.google.com/earth-engine/datasets/tags/gpw) [land](https://developers.google.com/earth-engine/datasets/tags/land) [landuse](https://developers.google.com/earth-engine/datasets/tags/landuse) | - |---| | [### GPW Annual short vegetation height v1 ![](https://developers.google.com/earth-engine/datasets/images/global-pasture-watch/projects_global-pasture-watch_assets_gsvh-30m_v1_short-veg-height_m_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_global-pasture-watch_assets_gsvh-30m_v1_short-veg-height_m) | | 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](https://developers.google.com/earth-engine/datasets/tags/canopy) [global](https://developers.google.com/earth-engine/datasets/tags/global) [global-pasture-watch](https://developers.google.com/earth-engine/datasets/tags/global-pasture-watch) [land](https://developers.google.com/earth-engine/datasets/tags/land) [landcover](https://developers.google.com/earth-engine/datasets/tags/landcover) [plant-productivity](https://developers.google.com/earth-engine/datasets/tags/plant-productivity) | - |---| | [### GPW Annual uncalibrated Gross Primary Productivity (uGPP) v1 ![](https://developers.google.com/earth-engine/datasets/images/global-pasture-watch/projects_global-pasture-watch_assets_ggpp-30m_v1_ugpp_m_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_global-pasture-watch_assets_ggpp-30m_v1_ugpp_m) | | 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](https://developers.google.com/earth-engine/datasets/tags/global) [global-pasture-watch](https://developers.google.com/earth-engine/datasets/tags/global-pasture-watch) [land](https://developers.google.com/earth-engine/datasets/tags/land) [landcover](https://developers.google.com/earth-engine/datasets/tags/landcover) [landuse](https://developers.google.com/earth-engine/datasets/tags/landuse) [plant-productivity](https://developers.google.com/earth-engine/datasets/tags/plant-productivity) |