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

Hunka, N., Duncanson, L., Armston, J., Dubayah, R., Healey, S. P., Santoro, M., May, P., Araza, A., Bourgoin, C., Montesano, P. M., Neigh, C. S. R., Grantham, H., Potapov, P., Turubanova, S., Tyukavina, A., Richter, J., Harris, N., Urbazaev, M., Pascual, A., Requena Suarez, D., Herold, M., Poulter, B., Wilson, S. N., Grassi, G., Federici, S., Sanz, M. J., Melo, J. (2024): Intergovernmental Panel on Climate Change (IPCC) Tier 1 forest biomass estimates from Earth Observation. - Scientific Data, 11, 1127.
https://doi.org/10.1038/s41597-024-03930-9

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 Creators:
Hunka, Neha1, Author
Duncanson, Laura1, Author
Armston, John1, Author
Dubayah, Ralph1, Author
Healey, Sean P.1, Author
Santoro, Maurizio1, Author
May, Paul1, Author
Araza, Arnan1, Author
Bourgoin, Clement1, Author
Montesano, Paul M.1, Author
Neigh, Christopher S. R.1, Author
Grantham, Hedley1, Author
Potapov, Peter1, Author
Turubanova, Svetlana1, Author
Tyukavina, Alexandra1, Author
Richter, Jessica1, Author
Harris, Nancy1, Author
Urbazaev, Mikhail2, Author              
Pascual, Adrián1, Author
Requena Suarez, Daniela3, Author              
Herold, Martin3, Author              Poulter, Benjamin1, AuthorWilson, Sylvia N.1, AuthorGrassi, Giacomo1, AuthorFederici, Sandro1, AuthorSanz, Maria J.1, AuthorMelo, Joana1, Author more..
Affiliations:
1External Organizations, ou_persistent22              
20 Pre-GFZ, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum, ou_146023              
31.4 Remote Sensing, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum, ou_146028              

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 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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 Dates: 2024-10-142024
 Publication Status: Finally published
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 Identifiers: DOI: 10.1038/s41597-024-03930-9
GFZPOF: p4 T5 Future Landscapes
GFZPOFCCA: p4 CARF RemSens
OATYPE: Gold Open Access
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Title: Scientific Data
Source Genre: Journal, SCI, Scopus, oa
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Pages: - Volume / Issue: 11 Sequence Number: 1127 Start / End Page: - Identifier: CoNE: https://gfzpublic.gfz-potsdam.de/cone/journals/resource/1911041
Publisher: Springer Nature