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GEDI launches a new era of biomass inference from space

Dubayah, Ralph and Armston, John and Healey, Sean P. and Bruening, Jamis M. and Patterson, Paul L. and Kellner, James R. and Duncanson, Laura and Saarela, Svetlana and Ståhl, Göran and Yang, Zhiqiang and Tang, Hao and Blair, J. Bryan and Fatoyinbo, Lola and Goetz, Scott and Hancock, Steven and Hansen, Matthew and Hofton, Michelle and Hurtt, George and Luthcke, Scott (2022). GEDI launches a new era of biomass inference from space. Environmental Research Letters. 17 :9 , 095001
[Research article]

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Abstract

Accurate 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.

Authors/Creators:Dubayah, Ralph and Armston, John and Healey, Sean P. and Bruening, Jamis M. and Patterson, Paul L. and Kellner, James R. and Duncanson, Laura and Saarela, Svetlana and Ståhl, Göran and Yang, Zhiqiang and Tang, Hao and Blair, J. Bryan and Fatoyinbo, Lola and Goetz, Scott and Hancock, Steven and Hansen, Matthew and Hofton, Michelle and Hurtt, George and Luthcke, Scott
Title:GEDI launches a new era of biomass inference from space
Series Name/Journal:Environmental Research Letters
Year of publishing :2022
Volume:17
Number:9
Article number:095001
Number of Pages:17
Publisher:IOP Publishing Ltd
ISSN:1748-9326
Language:English
Publication Type:Research article
Article category:Scientific peer reviewed
Version:Published version
Copyright:Creative Commons: Attribution 4.0
Full Text Status:Public
Subjects:(A) Swedish standard research categories 2011 > 4 Agricultural Sciences > 401 Agricultural, Forestry and Fisheries > Forest Science
(A) Swedish standard research categories 2011 > 2 Engineering and Technology > 207 Environmental Engineering > Remote Sensing
Keywords:GEDI, lidar, biomass, carbon, forest structure, hybrid inference
URN:NBN:urn:nbn:se:slu:epsilon-p-118782
Permanent URL:
http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-p-118782
Additional ID:
Type of IDID
DOI10.1088/1748-9326/ac8694
Web of Science (WoS)000841985500001
ID Code:28779
Faculty:S - Faculty of Forest Sciences
Department:(S) > Dept. of Forest Resource Management
(NL, NJ) > Dept. of Forest Resource Management
Deposited By: SLUpub Connector
Deposited On:05 Sep 2022 12:42
Metadata Last Modified:05 Sep 2022 12:51

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