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  | [### 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) |

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  | [### 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) |

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  | [### 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) |

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  | [### 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) |

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  | [### 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) |

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  | [### 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) |