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Globalna klasyfikacja lasów w 2020 r. na potrzeby szacunków biomasy na powierzchni Ziemi na potrzeby IPCC (poziom 1), wersja 1
Ten zbiór danych zawiera klasy lasów na świecie podzielone według stanu w 2020 r. w rozdzielczości około 30 m. Dane te służą do generowania szacunków poziomu 1 gęstości suchej biomasy drzewnej na powierzchni w naturalnych lasach w ramach uszczegółowienia wytycznych IPCC z 2006 r. w sprawie krajowych emisji gazów cieplarnianych … aboveground biomass carbon classification forest forest-biomass -
Globalne mapy gęstości węgla w biomasie na powierzchni i pod powierzchnią ziemi
Ten zbiór danych zawiera spójne czasowo i zharmonizowane globalne mapy gęstości węgla w biomasie na powierzchni i pod powierzchnią ziemi w 2010 r. w rozdzielczości przestrzennej 300 m. Mapa biomasy nadziemnej integruje mapy biomasy lasów, łąk, pól uprawnych i tundry, które zostały opracowane na podstawie danych z zbierania danych z dalszej odległości. Mapy wejściowe były… aboveground biomass carbon density forest forest-biomass -
Zbiór danych WHRC o zasobach węgla na poziomie krajowym w regionie całego tropiku
Mapa na poziomie krajowym pokazująca gęstość biomasy drzewnej na powierzchni ziemi w krajach tropikalnych na poziomie 500 m. Ten zbiór danych został utworzony na podstawie kombinacji pomiarów terenowych w tym samym miejscu, obserwacji LiDAR i zdjęć zarejestrowanych za pomocą spektroradiometru MODIS (Moderate Resolution Imaging Spectroradiometer). aboveground biomass carbon forest-biomass geophysical umd
Datasets tagged aboveground in Earth Engine
[null,null,[],[[["\u003cp\u003eThese datasets offer global and pantropical maps of biomass carbon density, primarily focusing on aboveground biomass.\u003c/p\u003e\n"],["\u003cp\u003eThey utilize a variety of data sources, including remotely sensed imagery, field measurements, and LiDAR observations, to provide estimates at various spatial resolutions (30m, 300m, 500m).\u003c/p\u003e\n"],["\u003cp\u003eOne dataset specifically supports the IPCC's aboveground biomass estimation methodology for national greenhouse gas inventories.\u003c/p\u003e\n"],["\u003cp\u003eThe datasets cover different time periods, including a temporally consistent view for 2010 and forest classifications for 2020.\u003c/p\u003e\n"]]],[],null,["# Datasets tagged aboveground in Earth Engine\n\n-\n\n |---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n | [### Global 2020 Forest Classification for IPCC Aboveground Biomass Tier 1 Estimates, V1](/earth-engine/datasets/catalog/NASA_ORNL_global_forest_classification_2020_V1) |\n | This dataset provides classes of global forests delineated by status/condition in 2020 at approximately 30m resolution. The data support generating Tier 1 estimates for Aboveground dry woody Biomass Density (AGBD) in natural forests in the 2019 Refinement to the 2006 IPCC Guidelines for National Greenhouse ... |\n | [aboveground](/earth-engine/datasets/tags/aboveground) [biomass](/earth-engine/datasets/tags/biomass) [carbon](/earth-engine/datasets/tags/carbon) [classification](/earth-engine/datasets/tags/classification) [forest](/earth-engine/datasets/tags/forest) [forest-biomass](/earth-engine/datasets/tags/forest-biomass) |\n\n-\n\n |---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n | [### Global Aboveground and Belowground Biomass Carbon Density Maps](/earth-engine/datasets/catalog/NASA_ORNL_biomass_carbon_density_v1) |\n | This dataset provides temporally consistent and harmonized global maps of aboveground and belowground biomass carbon density for the year 2010 at a 300-m spatial resolution. The aboveground biomass map integrates land-cover specific, remotely sensed maps of woody, grassland, cropland, and tundra biomass. Input maps were ... |\n | [aboveground](/earth-engine/datasets/tags/aboveground) [biomass](/earth-engine/datasets/tags/biomass) [carbon](/earth-engine/datasets/tags/carbon) [density](/earth-engine/datasets/tags/density) [forest](/earth-engine/datasets/tags/forest) [forest-biomass](/earth-engine/datasets/tags/forest-biomass) |\n\n-\n\n |---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n | [### USFS TreeMap v2020](/earth-engine/datasets/catalog/USFS_GTAC_TreeMap_v2020) |\n | This product is part of the TreeMap data suite. It provides detailed spatial information on forest characteristics including number of live and dead trees, biomass, and carbon across the entire forested extent of the United States in 2020. TreeMap v2020 contains 22-band 30 x 30m ... |\n | [aboveground](/earth-engine/datasets/tags/aboveground) [biomass](/earth-engine/datasets/tags/biomass) [carbon](/earth-engine/datasets/tags/carbon) [climate-change](/earth-engine/datasets/tags/climate-change) [conus](/earth-engine/datasets/tags/conus) [forest](/earth-engine/datasets/tags/forest) |\n\n-\n\n |---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n | [### USFS TreeMap v2022](/earth-engine/datasets/catalog/USFS_GTAC_TreeMap_v2022) |\n | This product is part of the TreeMap data suite. It provides detailed spatial information on forest characteristics including number of live and dead trees, biomass, and carbon across the entire forested extent of the United States in 2022. TreeMap v2022 contains 22-band 30 x 30m ... |\n | [aboveground](/earth-engine/datasets/tags/aboveground) [biomass](/earth-engine/datasets/tags/biomass) [carbon](/earth-engine/datasets/tags/carbon) [climate-change](/earth-engine/datasets/tags/climate-change) [conus](/earth-engine/datasets/tags/conus) [forest](/earth-engine/datasets/tags/forest) |\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) |"]]