From small-scale forest structure to Amazon-wide carbon estimates

Improving estimates of forest biomass based on remote sensing data is important to assess global carbon cycling. Here the authors develop an approach to use forest gap models to simulate lidar waveforms and compare the outputs with ICESAT-1 GLAS profiles, showing improved estimates across the Amazon...

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Main Authors: Edna Rödig, Nikolai Knapp, Rico Fischer, Friedrich J. Bohn, Ralph Dubayah, Hao Tang, Andreas Huth
Format: Article
Language:English
Published: Nature Publishing Group 2019-11-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-019-13063-y
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spelling doaj-16f0714eaaf44808ade6f451a84b30182021-05-11T12:33:28ZengNature Publishing GroupNature Communications2041-17232019-11-011011710.1038/s41467-019-13063-yFrom small-scale forest structure to Amazon-wide carbon estimatesEdna Rödig0Nikolai Knapp1Rico Fischer2Friedrich J. Bohn3Ralph Dubayah4Hao Tang5Andreas Huth6Department of Ecological Modelling, UFZ - Helmholtz Centre for Environmental ResearchDepartment of Ecological Modelling, UFZ - Helmholtz Centre for Environmental ResearchDepartment of Ecological Modelling, UFZ - Helmholtz Centre for Environmental ResearchDepartment of Ecological Modelling, UFZ - Helmholtz Centre for Environmental ResearchDepartment of Geographical Sciences, University of Maryland, College ParkDepartment of Geographical Sciences, University of Maryland, College ParkDepartment of Ecological Modelling, UFZ - Helmholtz Centre for Environmental ResearchImproving estimates of forest biomass based on remote sensing data is important to assess global carbon cycling. Here the authors develop an approach to use forest gap models to simulate lidar waveforms and compare the outputs with ICESAT-1 GLAS profiles, showing improved estimates across the Amazon basin.https://doi.org/10.1038/s41467-019-13063-y
collection DOAJ
language English
format Article
sources DOAJ
author Edna Rödig
Nikolai Knapp
Rico Fischer
Friedrich J. Bohn
Ralph Dubayah
Hao Tang
Andreas Huth
spellingShingle Edna Rödig
Nikolai Knapp
Rico Fischer
Friedrich J. Bohn
Ralph Dubayah
Hao Tang
Andreas Huth
From small-scale forest structure to Amazon-wide carbon estimates
Nature Communications
author_facet Edna Rödig
Nikolai Knapp
Rico Fischer
Friedrich J. Bohn
Ralph Dubayah
Hao Tang
Andreas Huth
author_sort Edna Rödig
title From small-scale forest structure to Amazon-wide carbon estimates
title_short From small-scale forest structure to Amazon-wide carbon estimates
title_full From small-scale forest structure to Amazon-wide carbon estimates
title_fullStr From small-scale forest structure to Amazon-wide carbon estimates
title_full_unstemmed From small-scale forest structure to Amazon-wide carbon estimates
title_sort from small-scale forest structure to amazon-wide carbon estimates
publisher Nature Publishing Group
series Nature Communications
issn 2041-1723
publishDate 2019-11-01
description Improving estimates of forest biomass based on remote sensing data is important to assess global carbon cycling. Here the authors develop an approach to use forest gap models to simulate lidar waveforms and compare the outputs with ICESAT-1 GLAS profiles, showing improved estimates across the Amazon basin.
url https://doi.org/10.1038/s41467-019-13063-y
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