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Hunka N, Duncanson L, Armston J, Dubayah R, Healey SP, Santoro M, May P, Araza A, Bourgoin C, Montesano PM, Neigh CSR, Grantham H, Potapov P, Turubanova S, Tyukavina A, Richter J, Harris N, Urbazaev M, Pascual A, Suarez DR, Herold M, Poulter B, Wilson SN, Grassi G, Federici S, Sanz MJ, Melo J. Intergovernmental Panel on Climate Change (IPCC) Tier 1 forest biomass estimates from Earth Observation. Sci Data 2024; 11:1127. [PMID: 39402050 PMCID: PMC11473701 DOI: 10.1038/s41597-024-03930-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2024] [Accepted: 09/24/2024] [Indexed: 10/17/2024] Open
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.
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Affiliation(s)
- Neha Hunka
- Department of Geographical Sciences, University of Maryland, 4600 River Road, Riverdale, 20737, Maryland, USA.
| | - Laura Duncanson
- Department of Geographical Sciences, University of Maryland, 4600 River Road, Riverdale, 20737, Maryland, USA
| | - John Armston
- Department of Geographical Sciences, University of Maryland, 4600 River Road, Riverdale, 20737, Maryland, USA
| | - Ralph Dubayah
- Department of Geographical Sciences, University of Maryland, 4600 River Road, Riverdale, 20737, Maryland, USA
| | - Sean P Healey
- US Forest Service, Rocky Mountain Research Station, Riverdale, UT, 84405, USA
| | - Maurizio Santoro
- GAMMA Remote Sensing Research and Consulting AG, Worbstrasse 225, Gümligen, Switzerland
| | - Paul May
- South Dakota Mines, Rapid City, South Dakota, 57701, USA
| | - Arnan Araza
- Laboratory of Geo-Information and Remote Sensing, Wageningen University and Research, Droevendaalsesteeg, 46708, PB Wageningen, The Netherlands
- Earth Systems and Global Change Gr, Wageningen University & Research, Droevendaalsesteeg, 46708, PB Wageningen, The Netherlands
| | - Clement Bourgoin
- European Commission, Joint Research Centre, Via E. Fermi 2749-TP 261, I-21027, Ispra (VA), Italy
| | - Paul M Montesano
- NASA Goddard Space Flight Center, Greenbelt, 20771, Maryland, USA
- ADNET Systems, Inc., Bethesda, 20817, Maryland, USA
| | | | - Hedley Grantham
- Bush Heritage Australia, Melbourne, 3000, Australia
- Centre for Ecosystem Science, University of New South Wales, Sydney, 2052, Australia
| | - Peter Potapov
- Department of Geographical Sciences, University of Maryland, 4600 River Road, Riverdale, 20737, Maryland, USA
| | - Svetlana Turubanova
- Department of Geographical Sciences, University of Maryland, 4600 River Road, Riverdale, 20737, Maryland, USA
| | - Alexandra Tyukavina
- Department of Geographical Sciences, University of Maryland, 4600 River Road, Riverdale, 20737, Maryland, USA
| | | | - Nancy Harris
- World Resources Institute, 20002, Washington DC, USA
| | - Mikhail Urbazaev
- Department of Geographical Sciences, University of Maryland, 4600 River Road, Riverdale, 20737, Maryland, USA
| | - Adrián Pascual
- Department of Geographical Sciences, University of Maryland, 4600 River Road, Riverdale, 20737, Maryland, USA
| | - Daniela Requena Suarez
- Helmholtz Center Potsdam GFZ German Research Centre for Geosciences, Remote Sensing and Geoinformatics, Telegrafenberg, Potsdam, 14473, Germany
| | - Martin Herold
- Laboratory of Geo-Information and Remote Sensing, Wageningen University and Research, Droevendaalsesteeg, 46708, PB Wageningen, The Netherlands
- Helmholtz Center Potsdam GFZ German Research Centre for Geosciences, Remote Sensing and Geoinformatics, Telegrafenberg, Potsdam, 14473, Germany
| | - Benjamin Poulter
- NASA Goddard Space Flight Center, Greenbelt, 20771, Maryland, USA
| | - Sylvia N Wilson
- United States Geological Survey, 12201 Sunrise Valley Drive, Reston, Virginia, USA
| | - Giacomo Grassi
- European Commission, Joint Research Centre, Via E. Fermi 2749-TP 261, I-21027, Ispra (VA), Italy
| | - Sandro Federici
- Institute for Global Environmental Strategies, IGES, Hayama, 240-0112, Japan
| | - Maria J Sanz
- Basque Centre for Climate Change (BC3), Sede Building, 1, 1st floor, Scientific Campus of the University of the Basque Country, 48940, Leioa, Spain
- Ikerbasque Foundation, Euskadi Pl., 5,Abando, 48009, Bilbao, Spain
| | - Joana Melo
- European Commission, Joint Research Centre, Via E. Fermi 2749-TP 261, I-21027, Ispra (VA), Italy
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