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GLCF: Landsat Global Inland Water
L'ensemble de données "Eaux intérieures mondiales" affiche les étendues d'eau de surface intérieures, y compris les lacs, les rivières et les réservoirs d'eau douce et salée. Depuis l'ère GLS 2000, 3 650 723 km² d'eaux intérieures ont été identifiés, dont environ trois quarts en Amérique du Nord et en Asie. Forêts boréales et toundra glcf landsat-derived nasa surface-ground-water umd water -
Évolution de la couverture forestière mondiale (GFCC) Couvert forestier Multi-année Monde 30 m
Les calques de la couverture arboricole des champs continus de végétation (VCF) Landsat contiennent des estimations du pourcentage de terrain horizontal dans chaque pixel de 30 m recouvert par une végétation ligneuse de plus de 5 mètres de haut. L'ensemble de données est disponible pour quatre époques centrées sur les années 2000, 2005, 2010, etc. forest forest-biomass glcf landsat-derived nasa umd -
Hansen Global Forest Change v1.12 (2000-2024)
Résultats de l'analyse des séries temporelles d'images Landsat pour caractériser l'étendue et l'évolution des forêts dans le monde. Les bandes "première" et "dernière" correspondent aux images multispectrales de référence des premières et dernières années disponibles pour les bandes spectrales Landsat correspondant aux couleurs rouge, NIR, SWIR1 et SWIR2. Les images composites de référence représentent… forêt biomasse forestière géophysique dérivé de Landsat umd -
Forêts tropicales humides primaires
Les forêts tropicales humides primaires fournissent de nombreux services écosystémiques mondiaux, mais sont constamment menacées d'être déboisées pour des raisons économiques. Pour faciliter la planification nationale de l'utilisation des sols et équilibrer les objectifs de développement économique et de maintien des services écosystémiques, une carte des forêts tropicales humides primaires a été créée … forêt biomasse forestière mondiale dérivée de Landsat umd -
Ensemble de données sur les stocks de carbone au niveau national dans la zone pantropicale du WHRC
Carte nationale de la densité de la biomasse ligneuse vivante au-dessus du sol pour les pays tropicaux à 500 m. Cet ensemble de données a été constitué à partir d'une combinaison de mesures sur le terrain, d'observations LiDAR et d'images enregistrées par le radiomètre spectral pour imagerie de résolution moyenne (MODIS). biomasse terrestre carbone forestière géophysique umd
Datasets tagged umd in Earth Engine
[null,null,[],[[["\u003cp\u003eThis webpage provides access to various datasets related to global forest cover, tree cover, and biomass.\u003c/p\u003e\n"],["\u003cp\u003eDatasets offer insights into forest change, including deforestation and primary forest identification.\u003c/p\u003e\n"],["\u003cp\u003eInformation on global inland water bodies, such as lakes and rivers, is also available.\u003c/p\u003e\n"],["\u003cp\u003eData is derived from sources like Landsat and MODIS imagery, offering high-resolution observations.\u003c/p\u003e\n"],["\u003cp\u003eThese datasets support research on carbon stock, land use planning, and ecosystem services.\u003c/p\u003e\n"]]],[],null,["# Datasets tagged umd in Earth Engine\n\n-\n\n |-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n | [### GLCF: Landsat Global Inland Water](/earth-engine/datasets/catalog/GLCF_GLS_WATER) |\n | The Global Inland Water dataset shows inland surface water bodies, including fresh and saline lakes, rivers, and reservoirs. From the GLS 2000 epoch, 3,650,723 km2 of inland water were identified, around three quarters of which were in North America and Asia. Boreal forests and tundra ... |\n | [glcf](/earth-engine/datasets/tags/glcf) [landsat-derived](/earth-engine/datasets/tags/landsat-derived) [nasa](/earth-engine/datasets/tags/nasa) [surface-ground-water](/earth-engine/datasets/tags/surface-ground-water) [umd](/earth-engine/datasets/tags/umd) [water](/earth-engine/datasets/tags/water) |\n\n-\n\n |---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n | [### Global Forest Cover Change (GFCC) Tree Cover Multi-Year Global 30m](/earth-engine/datasets/catalog/NASA_MEASURES_GFCC_TC_v3) |\n | The Landsat Vegetation Continuous Fields (VCF) tree cover layers contain estimates of the percentage of horizontal ground in each 30-m pixel covered by woody vegetation greater than 5 meters in height. The dataset is available for four epochs centered on the years 2000, 2005, 2010 ... |\n | [forest](/earth-engine/datasets/tags/forest) [forest-biomass](/earth-engine/datasets/tags/forest-biomass) [glcf](/earth-engine/datasets/tags/glcf) [landsat-derived](/earth-engine/datasets/tags/landsat-derived) [nasa](/earth-engine/datasets/tags/nasa) [umd](/earth-engine/datasets/tags/umd) |\n\n-\n\n |------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n | [### Hansen Global Forest Change v1.12 (2000-2024)](/earth-engine/datasets/catalog/UMD_hansen_global_forest_change_2024_v1_12) |\n | Results from time-series analysis of Landsat images in characterizing global forest extent and change. The 'first' and 'last' bands are reference multispectral imagery from the first and last available years for Landsat spectral bands corresponding to red, NIR, SWIR1, and SWIR2. Reference composite imagery represents ... |\n | [forest](/earth-engine/datasets/tags/forest) [forest-biomass](/earth-engine/datasets/tags/forest-biomass) [geophysical](/earth-engine/datasets/tags/geophysical) [landsat-derived](/earth-engine/datasets/tags/landsat-derived) [umd](/earth-engine/datasets/tags/umd) |\n\n-\n\n |-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n | [### Primary Humid Tropical Forests](/earth-engine/datasets/catalog/UMD_GLAD_PRIMARY_HUMID_TROPICAL_FORESTS_v1) |\n | Primary humid tropical forests provide numerous global ecosystem services, but are under continuing threat of clearing from economic drivers. To facilitate national land use planning and balancing the goals of economic development and maintenance of ecosystem services, a primary humid tropical forest map was created ... |\n | [forest](/earth-engine/datasets/tags/forest) [forest-biomass](/earth-engine/datasets/tags/forest-biomass) [global](/earth-engine/datasets/tags/global) [landsat-derived](/earth-engine/datasets/tags/landsat-derived) [umd](/earth-engine/datasets/tags/umd) |\n\n-\n\n |---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n | [### WHRC Pantropical National Level Carbon Stock Dataset](/earth-engine/datasets/catalog/WHRC_biomass_tropical) |\n | A national-level map of above-ground live woody biomass density for tropical countries at 500m. This dataset was assembled from a combination of co-located field measurements, LiDAR observations, and imagery recorded from the Moderate Resolution Imaging Spectroradiometer (MODIS). |\n | [aboveground](/earth-engine/datasets/tags/aboveground) [biomass](/earth-engine/datasets/tags/biomass) [carbon](/earth-engine/datasets/tags/carbon) [forest-biomass](/earth-engine/datasets/tags/forest-biomass) [geophysical](/earth-engine/datasets/tags/geophysical) [umd](/earth-engine/datasets/tags/umd) |"]]