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AGB Change for Amazon Basin, Mexico, and Pantropical Belt

Submitted by ORNL DAAC Staff on 2021-04-19
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Pantropical aboveground biomass density change from 2003 to 2016. Data have been aggregated to ca. 5 km resolution for illustration
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Pantropical aboveground biomass density change from 2003 to 2016. Data have been aggregated to 5 km resolution for illustration.

The ORNL DAAC recently released the following Carbon Monitoring System program dataset from Baccini, A. et al. (2012):

Aboveground Biomass Change for Amazon Basin, Mexico, and Pantropical Belt, 2003-2016

This dataset provides gridded estimates of aboveground biomass (AGB) for live dry woody vegetation density in the form of both stock for the baseline year 2003 and annual change in stock from 2003 to 2016. The 14-year time series was analyzed at the grid cell (~500 m) level with a change point-fitting algorithm to quantify annual losses and gains in AGB. Estimates of AGB and change can be used to derive total losses, gains, and the net change in aboveground carbon density over the study period as well as annual estimates of carbon stock.

The NASA CMS program is designed to make significant contributions in characterizing, quantifying, understanding, and predicting the evolution of global carbon sources and sinks through improved monitoring of carbon stocks and fluxes. The System uses NASA satellite observations and modeling/analysis capabilities to establish the accuracy, quantitative uncertainties, and utility of products for supporting national and international policy, regulatory, and management activities. CMS data products are designed to inform near-term policy development and planning.

Additional data from Carbon Monitoring System (CMS) project and other relevant links can be found on the ORNL DAAC's CMS Project Page.

Data Citation: Baccini, A., W. Walker, L.E. Carvalho, M.K. Farina, K.K. Solvik, and D. Sulla-Menashe. 2021. Aboveground Biomass Change for Amazon Basin, Mexico, and Pantropical Belt, 2003-2016. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1824

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