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GPW Yıllık Baskın Çayır Sınıfı v1
Bu veri kümesi, 2000-2022 yılları arasında 30 metrelik uzamsal çözünürlükte, otlakların (ekili ve doğal/yarı doğal) küresel yıllık baskın sınıf haritalarını sağlar. Land & Carbon Lab Global Pasture Watch girişimi tarafından üretilen haritalandırılmış otlak alanı, en az %30 oranında … içeren tüm arazi örtüsü türlerini kapsar. global global-pasture-watch land landcover landuse landuse-landcover -
GPW Yıllık Ekili Çayır Olasılıkları v1
Bu veri kümesi, 2000-2022 yılları arasında 30 metrelik uzamsal çözünürlükte, ekili çayırların küresel yıllık olasılık haritalarını sağlar. Land & Carbon Lab Global Pasture Watch girişimi tarafından üretilen haritalandırılmış otlak alanı, en az% 30 kuru veya … içeren herhangi bir arazi örtüsü türünü içerir. global global-pasture-watch land landcover landuse landuse-landcover -
GPW Yıllık Doğal/Yarı Doğal Çayır Olasılıkları v1
Bu veri kümesi, 2000-2022 yılları arasında 30 metrelik uzamsal çözünürlükte doğal/yarı doğal çayırların küresel yıllık olasılık haritalarını sağlar. Land & Carbon Lab Global Pasture Watch girişimi tarafından üretilen haritalandırılmış otlak alanı, en az% 30 kuru veya … içeren herhangi bir arazi örtüsü türünü içerir. global global-pasture-watch land landcover landuse landuse-landcover -
GPW Yıllık Kalibre Edilmemiş Brüt Birincil Üretkenlik (uGPP) v1
Bu veri kümesi, 2000 yılından itibaren 30 metrelik uzamsal çözünürlükte, küresel olarak kalibre edilmemiş EO tabanlı brüt birincil üretim verilerini sağlar. Land & Carbon Lab Global Pasture Watch girişimi tarafından üretilen mevcut veri kümesi, 2000'den itibaren 30 m mekansal çözünürlükte küresel olarak brüt birincil üretim (GPP) değerlerini sağlar. GPP değerleri … global global-pasture-watch land landcover landuse plant-productivity
Datasets tagged global-pasture-watch in Earth Engine
[null,null,[],[[["\u003cp\u003eThe Global Pasture Watch (GPW) initiative provides annual global maps of grassland types at 30-meter resolution from 2000 to 2022.\u003c/p\u003e\n"],["\u003cp\u003eThe datasets include probabilities of cultivated, natural/semi-natural, and dominant class of grasslands.\u003c/p\u003e\n"],["\u003cp\u003eGrassland extent is defined as any land cover with at least 30% dry or photosynthetic vegetation.\u003c/p\u003e\n"],["\u003cp\u003eThese datasets are produced by the Land & Carbon Lab and are available for global analysis.\u003c/p\u003e\n"]]],[],null,["# Datasets tagged global-pasture-watch 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) |\n\n-\n\n |---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n | [### GPW Annual uncalibrated Gross Primary Productivity (uGPP) v1](/earth-engine/datasets/catalog/projects_global-pasture-watch_assets_ggpp-30m_v1_ugpp_m) |\n | This dataset provides global uncalibrated EO-based Gross Primary Productivity from 2000 at 30-m spatial resolution. Produced by 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 are ... |\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) [plant-productivity](/earth-engine/datasets/tags/plant-productivity) |"]]