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CMS: Global Forests for IPCC Aboveground Biomass Estimates, 2020 Dataset Released

Data Release
Issued
Sept. 11, 2024
Resolved

NASA's Oak Ridge National Laboratory Distributed Active Archive Center (ORNL DAAC) released a new dataset from the Carbon Monitoring System (CMS) project.

This dataset provides classes of global forests delineated by status/condition in 2020 at approximately 30 m 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 Gas Inventories. Forest classes include primary, young secondary (20 years). Classification was based on a Boolean combination of a suite of existing Earth Observation (EO) products of forest tree cover, height, age, and land use classification layers representing years 2000 to 2020. This forest status/condition classification prioritizes the reduction of potential errors of commission in the delineations by minimizing the inclusion of ambiguous pixels. Hence, it provides a conservative estimate of global forest area, identifying approximately 3.26 billion ha of forests worldwide. The classification was created on the collaborative open-science cloud-computing system, the ESA-NASA Multi-mission Analysis and Algorithm Platform (MAAP). The data are provided in cloud-optimized GeoTIFF format. 

The CMS project 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. CMS 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. Access CMS data.

Citation

Hunka, N., L. Duncanson, J. Armston, R.O. Dubayah, S.P. Healey, M. Santoro, P. May, A. Araza, C. Bourgain, P.M. Montesano, C.S. Neigh, H. Grantham, V. Potapov, S. Turubanova, A. Tyukavina, J. Richter, N. Harris, M. Urbazaev, A. Pascual, D. Requena Suarez, M. Herold, B. Poulter, S.N. Wilson, G. Grassi, S. Federici, M.J. Sanz Sanchez, and J. Melo. 2024. Classification of Global Forests for IPCC Aboveground Biomass Tier 1 Estimates, 2020. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/2345

Details

Last Updated

June 17, 2025

Published

Sept. 11, 2024

Data Center/Project

Oak Ridge National Laboratory DAAC (ORNL DAAC)