-
GLCF:Landsat 全球内陆水域
“全球内陆水域”数据集显示内陆地表水域,包括淡水湖、咸水湖、河流和水库。从 GLS 2000 纪年起,我们已确定了 3,650,723 平方千米的内陆水域,其中约四分之三位于北美和亚洲。寒带森林和冻原… glcf landsat-derived nasa surface-ground-water umd water -
全球森林覆盖变化 (GFCC) 树木覆盖率 多年期 全球 30 米
Landsat 植被连续场 (VCF) 树冠层图层包含每个 30 米像素水平地面被高度超过 5 米的木本植被覆盖的百分比估算值。该数据集适用于以 2000 年、2005 年、2010 年等为中心的四个时代 forest forest-biomass glcf landsat-derived nasa umd -
Hansen 全球森林变化 v1.12(2000-2024 年)
对 Landsat 图像进行时间序列分析,以描述全球森林面积和变化情况所得出的结论。“第一个”和“最后一个”波段是指 Landsat 光谱波段(分别对应于红色、近红外、SWIR1 和 SWIR2)在可用年份中的第一个和最后一个参考多光谱图像。参照复合图像表示… 森林 森林生物量 地球物理 Landsat 派生 umd -
原始湿热带森林
原始湿热热带森林提供众多全球生态系统服务,但一直受到经济驱动因素的清除威胁。为了协助制定国家土地利用规划,并平衡经济发展和维护生态系统服务的目标,我们创建了一张主要的湿润热带森林地图… 森林 森林生物量 全球 Landsat 派生 umd -
WHRC 泛热带国家级碳储量数据集
热带国家/地区 500 米以上地上活木本生物量密度的国家级地图。此数据集综合了同一地点的现场测量数据、激光测距仪观测数据和中分辨率成像光谱辐射计 (MODIS) 记录的图像。 地上 生物量 碳 森林生物量 地球物理 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) |"]]