Intergovernmental Panel on Climate Change (IPCC) Tier 1 forest biomass estimates from Earth Observation

Aboveground biomass density (AGBD) estimates from Earth Observation (EO) can be presented with the consistency standards mandated by United Nations Framework Convention on Climate Change (UNFCCC). This article delivers AGBD estimates, in the format of Intergovernmental Panel on Climate Change (IPCC) Tier 1 values for natural forests, sourced from National Aeronautics and Space Administration's (NASA's) Global Ecosystem Dynamics Investigation (GEDI) and Ice, Cloud and land Elevation Satellite (ICESat-2), and European Space Agency's (ESA's) Climate Change Initiative (CCI). It also provides the underlying classification used by the IPCC as geospatial layers, delineating global forests by ecozones, continents and status (primary, young (≤20 years) and old secondary (>20 years)). The approaches leverage complementary strengths of various EO-derived datasets that are compiled in an open-science framework through the Multi-mission Algorithm and Analysis Platform (MAAP). This transparency and flexibility enables the adoption of any new incoming datasets in the framework in the future. The EO-based AGBD estimates are expected to be an independent contribution to the IPCC Emission Factors Database in support of UNFCCC processes, and the forest classification expected to support the generation of other policy-relevant datasets while reflecting ongoing shifts in global forests with climate change.

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Publication Details

Journal
Scientific Data
Published
2024-10-14
DOI
https://doi.org/10.1038/s41597-024-03930-9
Citations
19
Primary Topic
Remote Sensing and LiDAR Applications
Type
article
Field-Weighted Citation Impact
3.91

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article

Intergovernmental Panel on Climate Change (IPCC) Tier 1 forest biomass estimates from Earth Observation

Christopher S.R. Neigh, Sean P. Healey, Paul B. May, Paul Montesano et al.
19 citations
Scientific Data
Remote Sensing and LiDAR Applications
3.91
article

Intergovernmental Panel on Climate Change (IPCC) Tier 1 forest biomass estimates from Earth Observation

Christopher S.R. Neigh, Sean P. Healey, Paul B. May, Paul Montesano, Daniela Requena Suárez, John Armston, Arnan Araza, Peter Potapov, Mikhail Urbazaev, Giacomo Grassi, Svetlana Turubanova, Nancy L. Harris, Sandro Federici, Maurizio Santoro, Alexandra Tyukavina, Jessica Richter, Martin Herold, Sylvia Wilson, Clément Bourgoin, Benjamin Poulter, Hedley S. Grantham, María José Sanz, Ralph Dubayah, Adrián Pascual, Laura Duncanson, Joana Melo, Neha Hunka
article en
19 citations

Abstract

Aboveground biomass density (AGBD) estimates from Earth Observation (EO) can be presented with the consistency standards mandated by United Nations Framework Convention on Climate Change (UNFCCC). This article delivers AGBD estimates, in the format of Intergovernmental Panel on Climate Change (IPCC) Tier 1 values for natural forests, sourced from National Aeronautics and Space Administration's (NASA's) Global Ecosystem Dynamics Investigation (GEDI) and Ice, Cloud and land Elevation Satellite (ICESat-2), and European Space Agency's (ESA's) Climate Change Initiative (CCI). It also provides the underlying classification used by the IPCC as geospatial layers, delineating global forests by ecozones, continents and status (primary, young (≤20 years) and old secondary (>20 years)). The approaches leverage complementary strengths of various EO-derived datasets that are compiled in an open-science framework through the Multi-mission Algorithm and Analysis Platform (MAAP). This transparency and flexibility enables the adoption of any new incoming datasets in the framework in the future. The EO-based AGBD estimates are expected to be an independent contribution to the IPCC Emission Factors Database in support of UNFCCC processes, and the forest classification expected to support the generation of other policy-relevant datasets while reflecting ongoing shifts in global forests with climate change.

Scientific DataVol. 11(1)
University of California, Riverside (US), Ikerbasque (ES), United States Geological Survey (US), Goddard Space Flight Center (US), Bush Heritage Australia (AU), US Forest Service (US), World Resources Institute (US), University of the Basque Country (ES), South Dakota School of Mines and Technology (US), UNSW Sydney (AU), Basque Centre for Climate Change (ES), Institute for Global Environmental Strategies (JP), Joint Research Centre (IT), Rocky Mountain Research Station (US), GFZ Helmholtz Centre for Geosciences (DE), Gamma Remote Sensing (Switzerland) (CH), Adnet Systems (United States) (US), Wageningen University & Research (NL)
National Aeronautics and Space Administration, European Space Agency, Eusko Jaurlaritza, Nuclear Safety and Security Commission, Agencia Estatal de Investigación
Climate action
Openalex Percentile: Top 6%
Remote Sensing and LiDAR Applications
3.91
DOIOpen Access PDFOpenAlex
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