AI-generated Key Takeaways
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Multiple datasets are available providing global and regional maps of forest biomass and carbon density.
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Data resolutions vary from approximately 30m to 500m and cover different years including 2010, 2016, 2020, and 2022.
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Information on aboveground, belowground, and soil organic carbon content is provided in these datasets.
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Some datasets support generating Tier 1 estimates for Aboveground dry woody Biomass Density in natural forests.
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Specific regional datasets include detailed forest characteristics for the conterminous United States and organic carbon for Africa.
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Global 2020 Forest Classification for IPCC Aboveground Biomass Tier 1 Estimates, V1
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 … aboveground biomass carbon classification forest forest-biomass -
Global Aboveground and Belowground Biomass Carbon Density Maps
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 … aboveground biomass carbon density forest forest-biomass -
MERRA-2 M2T1NXAER: Aerosol Diagnostics V5.12.4
M2T1NXAER (or tavg1_2d_aer_Nx) is an hourly time-averaged 2-dimensional data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilated aerosol diagnostics, such as column mass density of aerosol components (black carbon, dust, sea-salt, sulfate, and organic carbon), surface … aerosol atmosphere carbon dust mass merra -
OpenLandMap Soil Organic Carbon Content
Soil organic carbon content in x 5 g / kg at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolution Predicted from a global compilation of soil points. Processing steps are described in detail here. Antarctica is not included. … carbon envirometrix opengeohub openlandmap soil -
USFS TreeMap v2016 (Conterminous United States)
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 continental United States in 2016. TreeMap v2016 contains one image, a … biomass carbon climate-change conus forest forest-biomass -
USFS TreeMap v2020
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 … aboveground biomass carbon climate-change conus forest -
USFS TreeMap v2022
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 … aboveground biomass carbon climate-change conus forest -
WCMC Above and Below Ground Biomass Carbon Density
This dataset represents above- and below-ground terrestrial carbon storage (tonnes (t) of C per hectare (ha)) for circa 2010. The dataset was constructed by combining the most reliable publicly available datasets and overlaying them with the ESA CCI landcover map for the year 2010 (ESA, … biomass carbon forest-biomass wcmc -
WHRC Pantropical National Level Carbon Stock Dataset
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). aboveground biomass carbon forest-biomass geophysical umd -
iSDAsoil Organic Carbon
Organic carbon at soil depths of 0-20 cm and 20-50 cm, predicted mean and standard deviation. Pixel values must be back-transformed with exp(x/10)-1. In areas of dense jungle (generally over central Africa), model accuracy is low and therefore artifacts such as banding (striping) might be … africa carbon isda soil