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GEDI Launches a New Era of Biomass Inference from SpaceAccurate estimation of aboveground forest biomass stocks is required to assess the impacts of land use changes such as deforestation and subsequent regrowth on concentrations of atmospheric CO2. The Global Ecosystem Dynamics Investigation (GEDI) is a lidar mission launched by NASA to the International Space Station in 2018. GEDI was specifically designed to retrieve vegetation structure within a novel, theoretical sampling design that explicitly quantifies biomass and its uncertainty across a variety of spatial scales. In this paper we provide the estimates of pan-tropical and temperate biomass derived from two years of GEDI observations. We present estimates of mean biomass densities at 1 km resolution, as well as estimates aggregated to the national level for every country GEDI observes, and at the sub-national level for the United States. For all estimates we provide the standard error of the mean biomass. These data serve as a baseline for current biomass stocks and their future changes, and the mission’s integrated use of formal statistical inference points the way towards the possibility of a new generation of powerful monitoring tools from space.
Document ID
20230003077
Acquisition Source
Goddard Space Flight Center
Document Type
Reprint (Version printed in journal)
Authors
Ralph Dubayah
(University of Maryland, College Park College Park, Maryland, United States)
John Armston ORCID
(University of Maryland, College Park College Park, Maryland, United States)
Sean P Healey ORCID
(US Forest Service Washington D.C., District of Columbia, United States)
Jamis M Bruening ORCID
(University of Maryland, College Park College Park, Maryland, United States)
Paul L Patterson
(US Forest Service Washington D.C., District of Columbia, United States)
James R Kellner
(Brown University Providence, Rhode Island, United States)
Laura Duncanson ORCID
(University of Maryland, College Park College Park, Maryland, United States)
Svetlana Saarela ORCID
(Norwegian University of Life Sciences Ås, Norway)
Göran Ståhl
(Swedish University of Agricultural Sciences Uppsala, Sweden)
Zhiqiang Yang
(US Forest Service Washington D.C., District of Columbia, United States)
Hao Tang ORCID
(University of Maryland, College Park College Park, Maryland, United States)
J Bryan Blair
(Goddard Space Flight Center Greenbelt, Maryland, United States)
Lola Fatoyinbo ORCID
(Goddard Space Flight Center Greenbelt, Maryland, United States)
Scott Goetz ORCID
(Northern Arizona University Flagstaff, Arizona, United States)
Steven Hancock ORCID
(University of Edinburgh Edinburgh, United Kingdom)
Matthew Hansen ORCID
(University of Maryland, College Park College Park, Maryland, United States)
Michelle Hofton
(University of Maryland, College Park College Park, Maryland, United States)
George Hurtt ORCID
(University of Maryland, College Park College Park, Maryland, United States)
Scott Luthcke
(Goddard Space Flight Center Greenbelt, Maryland, United States)
Date Acquired
March 7, 2023
Publication Date
August 18, 2022
Publication Information
Publication: Environmental Research Letters
Publisher: IOP Publishing
Volume: 17
Issue: 9
Issue Publication Date: September 1, 2022
e-ISSN: 1748-9326
Subject Category
Earth Resources and Remote Sensing
Funding Number(s)
WBS: 306615.04.02.01
CONTRACT_GRANT: 80NSSC21D0002
CONTRACT_GRANT: 80NSSC18K0943
CONTRACT_GRANT: NNL15AA03C
Distribution Limits
Public
Copyright
Portions of document may include copyright protected material.
Technical Review
External Peer Committee
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