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GLCF: Landsat Global Inland Water
Der Datensatz „Global Inland Water“ enthält Binnengewässer, darunter Süß- und Salzwasserseen, Flüsse und Stauseen. Für die GLS 2000-Ära wurden 3.650.723 km² Binnengewässer identifiziert, etwa drei Viertel davon in Nordamerika und Asien. Nadelwälder und Tundra … glcf landsat-derived nasa surface-ground-water umd water -
Global Forest Cover Change (GFCC) Tree Cover Multi-Year Global 30m
Die Baumbedeckungsschichten der Landsat-VCF-Felder (Vegetation Continuous Fields) enthalten Schätzungen des Prozentsatzes des horizontalen Bodens in jedem 30-m-Pixel, der von Holzvegetation mit einer Höhe von mehr als 5 Metern bedeckt ist. Der Datensatz ist für vier Epochen verfügbar, die auf den Jahren 2000, 2005, 2010 usw. basieren. forest forest-biomass glcf landsat-derived nasa umd -
Hansen Global Forest Change v1.12 (2000–2024)
Ergebnisse einer Zeitreihenanalyse von Landsat-Bildern zur Charakterisierung der globalen Waldausdehnung und -veränderung. Die Bänder „first“ und „last“ sind Referenz-Multispektralbilder aus dem ersten und letzten verfügbaren Jahr für die Landsat-Spektralbänder Rot, NIR, SWIR1 und SWIR2. Referenzbilder stellen Folgendes dar: forest forest-biomass geophysical landsat-derived umd -
Primäre feuchte tropische Wälder
Primäre feuchte tropische Wälder bieten zahlreiche globale Ökosystemleistungen, sind aber durch wirtschaftliche Faktoren ständig von der Rodung bedroht. Um die nationale Flächennutzungsplanung zu erleichtern und die Ziele der Wirtschaftsentwicklung und der Aufrechterhaltung von Ökosystemleistungen in Einklang zu bringen, wurde eine Karte der primären feuchten tropischen Wälder erstellt… forest forest-biomass global landsat-derived umd -
WHRC Pantropical National Level Carbon Stock Dataset
Eine nationale Karte der überirdischen Biomassedichte lebender Holzgewächse für tropische Länder in 500 m Höhe. Dieser Datensatz wurde aus einer Kombination von Feldmessungen am selben Ort, LiDAR-Beobachtungen und Bildern erstellt, die mit dem Moderate Resolution Imaging Spectroradiometer (MODIS) aufgenommen wurden. oberirdische Biomasse Kohlenstoff Waldbiomasse geophysikalische Umwelt
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) |"]]