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GLCF: Landsat 글로벌 내륙수역
글로벌 내륙수 데이터 세트는 담수호, 소금호, 강, 저수지 등 내륙의 지표수를 보여줍니다. GLS 2000 시점부터 3,650,723km2의 내륙수가 확인되었으며, 이 중 약 3분의 2가 북미와 아시아에 있었습니다. 북방림과 툰드라 glcf landsat-derived nasa surface-ground-water umd water -
전 세계 산림 분포 변화 (GFCC) 나무 덮개 다년 전 세계 30m
Landsat Vegetation Continuous Fields (VCF) 나무 덮개 레이어에는 높이가 5m를 초과하는 나무가 우거진 각 30m 픽셀의 수평 지형 비율에 대한 추정치가 포함되어 있습니다. 이 데이터 세트는 2000년, 2005년, 2010년을 중심으로 4개의 에포크에 사용할 수 있습니다. forest forest-biomass glcf landsat-derived nasa umd -
Hansen Global Forest Change v1.12 (2000~2024)
전 세계 산림 면적과 변화를 파악하기 위한 Landsat 이미지의 시계열 분석 결과 '첫 번째' 및 '마지막' 밴드는 적색, NIR, SWIR1, SWIR2에 해당하는 Landsat 스펙트럼 밴드의 사용 가능한 첫 번째 연도 및 마지막 연도의 참조 멀티스펙트럴 이미지입니다. 참조 합성 이미지는 다음을 나타냅니다. forest forest-biomass geophysical landsat-derived umd -
원시 습한 열대 우림
습한 열대 우림은 다양한 전 세계 생태계 서비스를 제공하지만 경제적 요인으로 인해 계속해서 개간 위협을 받고 있습니다. 국가 토지이용계획을 수립하고 경제 개발과 생태계 서비스 유지의 목표 간에 균형을 맞추기 위해 기본적인 습한 열대림 지도가 작성되었습니다. forest forest-biomass global landsat-derived umd -
WHRC Pantropical National Level Carbon Stock Dataset
열대 국가의 지상부 살아 있는 목질 바이오매스 밀도를 500m 단위로 나타낸 국가 수준 지도입니다. 이 데이터 세트는 근접한 위치에서 이루어진 현장 측정, LiDAR 관측, 중간 해상도 이미징 스펙트로라디오미터 (MODIS)에서 녹화된 이미지를 조합하여 구성되었습니다. 지상 바이오매스 탄소 forest-biomass geophysical 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) |"]]