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...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Edna Rödig, Nikolai Knapp, Rico Fischer, Friedrich J. Bohn, Ralph Dubayah, Hao Tang, Andreas Huth
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2019
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/16f0714eaaf44808ade6f451a84b3018
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:16f0714eaaf44808ade6f451a84b3018
record_format	dspace
spelling	oai:doaj.org-article:16f0714eaaf44808ade6f451a84b30182021-12-02T14:35:37ZFrom small-scale forest structure to Amazon-wide carbon estimates10.1038/s41467-019-13063-y2041-1723https://doaj.org/article/16f0714eaaf44808ade6f451a84b30182019-11-01T00:00:00Zhttps://doi.org/10.1038/s41467-019-13063-yhttps://doaj.org/toc/2041-1723Improving 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.Edna RödigNikolai KnappRico FischerFriedrich J. BohnRalph DubayahHao TangAndreas HuthNature PortfolioarticleScienceQENNature Communications, Vol 10, Iss 1, Pp 1-7 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q 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
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.
format	article
author	Edna Rödig Nikolai Knapp Rico Fischer Friedrich J. Bohn Ralph Dubayah Hao Tang Andreas Huth
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 Portfolio
publishDate	2019
url	https://doaj.org/article/16f0714eaaf44808ade6f451a84b3018
work_keys_str_mv	AT ednarodig fromsmallscaleforeststructuretoamazonwidecarbonestimates AT nikolaiknapp fromsmallscaleforeststructuretoamazonwidecarbonestimates AT ricofischer fromsmallscaleforeststructuretoamazonwidecarbonestimates AT friedrichjbohn fromsmallscaleforeststructuretoamazonwidecarbonestimates AT ralphdubayah fromsmallscaleforeststructuretoamazonwidecarbonestimates AT haotang fromsmallscaleforeststructuretoamazonwidecarbonestimates AT andreashuth fromsmallscaleforeststructuretoamazonwidecarbonestimates
_version_	1718391057069113344

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

Ejemplares similares