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Environmental Research Letters
Article . 2022 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Environmental Research Letters
Article . 2022
Data sources: DOAJ
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https://doi.org/10.31223/x52w6...
Article . 2022 . Peer-reviewed
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GEDI launches a new era of biomass inference from space

Authors: Ralph Dubayah; John Armston; Sean P Healey; Jamis M Bruening; Paul L Patterson; James R Kellner; Laura Duncanson; +12 Authors

GEDI launches a new era of biomass inference from space

Abstract

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.

Countries
Sweden, United Kingdom
Keywords

Science, QC1-999, Environmental technology. Sanitary engineering, 333, Remote Sensing, GE1-350, lidar, TD1-1066, GEDI, biomass, Forest Science, carbon, Physics, Q, Environmental sciences, hybrid inference, forest structure

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
123
Top 1%
Top 10%
Top 0.1%