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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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1 University of Maryland, Department of Geographical Sciences, Riverdale, USA
2 Rocky Mountain Research Station, US Forest Service, Riverdale, USA (GRID:grid.421601.0)
3 GAMMA Remote Sensing Research and Consulting AG, Gümligen, Switzerland (GRID:grid.424908.3) (ISNI:0000 0004 0613 3138)
4 South Dakota Mines, South Dakota, USA (GRID:grid.424908.3)
5 Wageningen University and Research, Laboratory of Geo-Information and Remote Sensing, Droevendaalsesteeg, The Netherlands (GRID:grid.4818.5) (ISNI:0000 0001 0791 5666); Wageningen University & Research, Earth Systems and Global Change Gr, PB Wageningen, The Netherlands (GRID:grid.4818.5) (ISNI:0000 0001 0791 5666)
6 Joint Research Centre, European Commission, Ispra (VA), Italy (GRID:grid.434554.7) (ISNI:0000 0004 1758 4137)
7 NASA Goddard Space Flight Center, Greenbelt, USA (GRID:grid.133275.1) (ISNI:0000 0004 0637 6666); Inc., ADNET Systems, Bethesda, USA (GRID:grid.426659.a)
8 NASA Goddard Space Flight Center, Greenbelt, USA (GRID:grid.133275.1) (ISNI:0000 0004 0637 6666)
9 Bush Heritage Australia, Melbourne, Australia (GRID:grid.501440.4); University of New South Wales, Centre for Ecosystem Science, Sydney, Australia (GRID:grid.1005.4) (ISNI:0000 0004 4902 0432)
10 University of Maryland, Department of Geographical Sciences, Riverdale, USA (GRID:grid.1005.4)
11 World Resources Institute, Washington DC, USA (GRID:grid.433793.9) (ISNI:0000 0001 1957 4854)
12 University of Maryland, Department of Geographical Sciences, Riverdale, USA (GRID:grid.433793.9)
13 Remote Sensing and Geoinformatics, Helmholtz Center Potsdam GFZ German Research Centre for Geosciences, Telegrafenberg, Germany (GRID:grid.23731.34) (ISNI:0000 0000 9195 2461)
14 Wageningen University and Research, Laboratory of Geo-Information and Remote Sensing, Droevendaalsesteeg, The Netherlands (GRID:grid.4818.5) (ISNI:0000 0001 0791 5666); Remote Sensing and Geoinformatics, Helmholtz Center Potsdam GFZ German Research Centre for Geosciences, Telegrafenberg, Germany (GRID:grid.23731.34) (ISNI:0000 0000 9195 2461)
15 United States Geological Survey, Reston, USA (GRID:grid.2865.9) (ISNI:0000 0001 2154 6924)
16 IGES, Institute for Global Environmental Strategies, Hayama, Japan (GRID:grid.459644.e) (ISNI:0000 0004 0621 3306)
17 Scientific Campus of the University of the Basque Country, Basque Centre for Climate Change (BC3), Sede Building, 1, 1st floor, Leioa, Spain (GRID:grid.423984.0) (ISNI:0000 0001 2002 0998); Euskadi Pl., Ikerbasque Foundation, Bilbao, Spain (GRID:grid.424810.b) (ISNI:0000 0004 0467 2314)