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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2019-11-01
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Series: | Nature Communications |
Online Access: | https://doi.org/10.1038/s41467-019-13063-y |
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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 |
work_keys_str_mv |
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