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GPW Annual Dominant Class of Grasslands v1
Ten zbiór danych zawiera globalne roczne mapy dominujących klas użytków zielonych (uprawianych oraz naturalnych i półnaturalnych) z lat 2000–2022 w rozdzielczości przestrzennej 30 m. Mapa obszarów trawiastych została opracowana w ramach inicjatywy Land & Carbon Lab Global Pasture Watch. Obejmuje ona wszystkie typy pokrycia terenu, które zawierają co najmniej 30% … global global-pasture-watch land landcover landuse landuse-landcover -
GPW Annual Probabilities of Cultivated Grasslands v1
Ten zbiór danych zawiera globalne roczne mapy prawdopodobieństwa występowania uprawianych użytków zielonych w latach 2000–2022 w rozdzielczości przestrzennej 30 m. Dane te pochodzą z inicjatywy Land & Carbon Lab Global Pasture Watch. Zasięg mapowanych użytków zielonych obejmuje każdy rodzaj pokrycia terenu, który zawiera co najmniej 30% suchych lub… global global-pasture-watch land landcover landuse landuse-landcover -
GPW Annual Probabilities of Natural/Semi-natural Grasslands v1
Ten zbiór danych zawiera globalne mapy rocznego prawdopodobieństwa występowania naturalnych i półnaturalnych terenów trawiastych w latach 2000–2022 w rozdzielczości przestrzennej 30 m. Dane te pochodzą z inicjatywy Land & Carbon Lab Global Pasture Watch. Zasięg mapowanych użytków zielonych obejmuje każdy rodzaj pokrycia terenu, który zawiera co najmniej 30% suchych lub… global global-pasture-watch land landcover landuse landuse-landcover
Datasets tagged pasture in Earth Engine
[null,null,[],[],[],null,["# Datasets tagged pasture in Earth Engine\n\n-\n\n |-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n | [### GPW Annual Dominant Class of Grasslands v1](/earth-engine/datasets/catalog/projects_global-pasture-watch_assets_ggc-30m_v1_grassland_c) |\n | 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 Land \\& Carbon Lab Global Pasture Watch initiative, the mapped grassland extent includes any land cover type, which contains at least 30% ... |\n | [global](/earth-engine/datasets/tags/global) [global-pasture-watch](/earth-engine/datasets/tags/global-pasture-watch) [land](/earth-engine/datasets/tags/land) [landcover](/earth-engine/datasets/tags/landcover) [landuse](/earth-engine/datasets/tags/landuse) [landuse-landcover](/earth-engine/datasets/tags/landuse-landcover) |\n\n-\n\n |-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n | [### GPW Annual Probabilities of Cultivated Grasslands v1](/earth-engine/datasets/catalog/projects_global-pasture-watch_assets_ggc-30m_v1_cultiv-grassland_p) |\n | This dataset provides global annual probability maps of cultivated grassland from 2000 to 2022 at 30-m spatial resolution. Produced by Land \\& Carbon Lab Global Pasture Watch initiative, the mapped grassland extent includes any land cover type, which contains at least 30% of dry or ... |\n | [global](/earth-engine/datasets/tags/global) [global-pasture-watch](/earth-engine/datasets/tags/global-pasture-watch) [land](/earth-engine/datasets/tags/land) [landcover](/earth-engine/datasets/tags/landcover) [landuse](/earth-engine/datasets/tags/landuse) [landuse-landcover](/earth-engine/datasets/tags/landuse-landcover) |\n\n-\n\n |-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n | [### GPW Annual Probabilities of Natural/Semi-natural Grasslands v1](/earth-engine/datasets/catalog/projects_global-pasture-watch_assets_ggc-30m_v1_nat-semi-grassland_p) |\n | This dataset provides global annual probability maps of natural/semi-natural grassland from 2000 to 2022 at 30-m spatial resolution. Produced by Land \\& Carbon Lab Global Pasture Watch initiative, the mapped grassland extent includes any land cover type, which contains at least 30% of dry or ... |\n | [global](/earth-engine/datasets/tags/global) [global-pasture-watch](/earth-engine/datasets/tags/global-pasture-watch) [land](/earth-engine/datasets/tags/land) [landcover](/earth-engine/datasets/tags/landcover) [landuse](/earth-engine/datasets/tags/landuse) [landuse-landcover](/earth-engine/datasets/tags/landuse-landcover) |"]]