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

Autor: Hunka N; Department of Geographical Sciences, University of Maryland, 4600 River Road, Riverdale, 20737, Maryland, USA. nhunka@umd.edu., Duncanson L; Department of Geographical Sciences, University of Maryland, 4600 River Road, Riverdale, 20737, Maryland, USA., Armston J; Department of Geographical Sciences, University of Maryland, 4600 River Road, Riverdale, 20737, Maryland, USA., Dubayah R; Department of Geographical Sciences, University of Maryland, 4600 River Road, Riverdale, 20737, Maryland, USA., Healey SP; US Forest Service, Rocky Mountain Research Station, Riverdale, UT, 84405, USA., Santoro M; GAMMA Remote Sensing Research and Consulting AG, Worbstrasse 225, Gümligen, Switzerland., May P; South Dakota Mines, Rapid City, South Dakota, 57701, USA., Araza A; 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., Bourgoin C; European Commission, Joint Research Centre, Via E. Fermi 2749-TP 261, I-21027, Ispra (VA), Italy., Montesano PM; NASA Goddard Space Flight Center, Greenbelt, 20771, Maryland, USA.; ADNET Systems, Inc., Bethesda, 20817, Maryland, USA., Neigh CSR; NASA Goddard Space Flight Center, Greenbelt, 20771, Maryland, USA., Grantham H; Bush Heritage Australia, Melbourne, 3000, Australia.; Centre for Ecosystem Science, University of New South Wales, Sydney, 2052, Australia., Potapov P; Department of Geographical Sciences, University of Maryland, 4600 River Road, Riverdale, 20737, Maryland, USA., Turubanova S; Department of Geographical Sciences, University of Maryland, 4600 River Road, Riverdale, 20737, Maryland, USA., Tyukavina A; Department of Geographical Sciences, University of Maryland, 4600 River Road, Riverdale, 20737, Maryland, USA., Richter J; World Resources Institute, 20002, Washington DC, USA., Harris N; World Resources Institute, 20002, Washington DC, USA., Urbazaev M; Department of Geographical Sciences, University of Maryland, 4600 River Road, Riverdale, 20737, Maryland, USA., Pascual A; Department of Geographical Sciences, University of Maryland, 4600 River Road, Riverdale, 20737, Maryland, USA., Suarez DR; Helmholtz Center Potsdam GFZ German Research Centre for Geosciences, Remote Sensing and Geoinformatics, Telegrafenberg, Potsdam, 14473, Germany., Herold M; 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., Poulter B; NASA Goddard Space Flight Center, Greenbelt, 20771, Maryland, USA., Wilson SN; United States Geological Survey, 12201 Sunrise Valley Drive, Reston, Virginia, USA., Grassi G; European Commission, Joint Research Centre, Via E. Fermi 2749-TP 261, I-21027, Ispra (VA), Italy., Federici S; Institute for Global Environmental Strategies, IGES, Hayama, 240-0112, Japan., Sanz MJ; 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., Melo J; European Commission, Joint Research Centre, Via E. Fermi 2749-TP 261, I-21027, Ispra (VA), Italy.
Jazyk: angličtina
Zdroj: Scientific data [Sci Data] 2024 Oct 14; Vol. 11 (1), pp. 1127. Date of Electronic Publication: 2024 Oct 14.
DOI: 10.1038/s41597-024-03930-9
Abstrakt: 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.
(© 2024. The Author(s).)
Databáze: MEDLINE
Externí odkaz: