ESTIMATING CANOPY HEIGHT AND WOOD VOLUME OF EUCALYPTUS PLANTATIONS IN BRAZIL USING GEDI LIDAR DATA

Detalhes bibliográficos
Autor(a) principal: Fayad, Ibrahim
Data de Publicação: 2021
Outros Autores: Baghdadi, Nicolas, Alvares, Clayton Alcarde [UNESP], Stape, Jose Luiz [UNESP], Bailly, Jean Stéphane, Scolforo, Henrique Ferraço, Zribi, Mehrez, Le Maire, Guerric
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1109/IGARSS47720.2021.9553091
http://hdl.handle.net/11449/223589
Resumo: Full waveform (FW) LiDAR systems have gained momentum to map forest biophysical variables in the last two decades, owing to their ability to accurately estimate canopy heights and aboveground biomass. Currently, the Global Ecosystem Dynamics Investigation (GEDI) system on board of the International Space Station (ISS) is the most recent FW spaceborne LiDAR instrument for the continuous observation of earth's forests. Here, we assess the accuracy of GEDI FW data for the estimation of stand-scale dominant heights (Hdom), and stand volume (V) using linear and nonlinear regression models based on several GEDI metrics. The models were calibrated and validated using in-situ data from Eucalyptus plantations in Brazil. Overall, the most accurate estimates of Hdom and V were obtained using the stepwise regression, with an RMSE of 1.44 m (R2 of 0.92) and 24.39 m3.ha-1 (R2 of 0.90) respectively. The principal metric explaining more than 87% and 84% of the variability (R2) of Hdom and V was the metric representing the height above the ground at which 90% of the waveform energy occurs.
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spelling ESTIMATING CANOPY HEIGHT AND WOOD VOLUME OF EUCALYPTUS PLANTATIONS IN BRAZIL USING GEDI LIDAR DATABrazilDominant heightEucalyptusGEDILidarWood volumeFull waveform (FW) LiDAR systems have gained momentum to map forest biophysical variables in the last two decades, owing to their ability to accurately estimate canopy heights and aboveground biomass. Currently, the Global Ecosystem Dynamics Investigation (GEDI) system on board of the International Space Station (ISS) is the most recent FW spaceborne LiDAR instrument for the continuous observation of earth's forests. Here, we assess the accuracy of GEDI FW data for the estimation of stand-scale dominant heights (Hdom), and stand volume (V) using linear and nonlinear regression models based on several GEDI metrics. The models were calibrated and validated using in-situ data from Eucalyptus plantations in Brazil. Overall, the most accurate estimates of Hdom and V were obtained using the stepwise regression, with an RMSE of 1.44 m (R2 of 0.92) and 24.39 m3.ha-1 (R2 of 0.90) respectively. The principal metric explaining more than 87% and 84% of the variability (R2) of Hdom and V was the metric representing the height above the ground at which 90% of the waveform energy occurs.Stichting Sem Presser ArchiefCIRAD CNRS INRAE TETIS Univ Montpellier AgroParisTechUnesp Faculdade de Ciências Agronômicas, SPSuzano SA, Estrada Limeira, 391, SPINRAE IRD Institut Agro LISAH Univ Montpellier, Montpellier 1AgroParisTechCESBIO CNRS UPS IRD CNES INRAE, 18 av. Edouard Belin, bpi 2801CIRAD UMR Eco&SolsEco&Sols Univ Montpellier CIRAD INRA IRD Montpellier SupAgroUnesp Faculdade de Ciências Agronômicas, SPAgroParisTechUniversidade Estadual Paulista (UNESP)Suzano SAUniv MontpellierINRAEUMR Eco&SolsMontpellier SupAgroFayad, IbrahimBaghdadi, NicolasAlvares, Clayton Alcarde [UNESP]Stape, Jose Luiz [UNESP]Bailly, Jean StéphaneScolforo, Henrique FerraçoZribi, MehrezLe Maire, Guerric2022-04-28T19:51:32Z2022-04-28T19:51:32Z2021-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject5941-5944http://dx.doi.org/10.1109/IGARSS47720.2021.9553091International Geoscience and Remote Sensing Symposium (IGARSS), v. 2021-July, p. 5941-5944.http://hdl.handle.net/11449/22358910.1109/IGARSS47720.2021.95530912-s2.0-85125998161Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengInternational Geoscience and Remote Sensing Symposium (IGARSS)info:eu-repo/semantics/openAccess2022-04-28T19:51:32Zoai:repositorio.unesp.br:11449/223589Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462022-04-28T19:51:32Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv ESTIMATING CANOPY HEIGHT AND WOOD VOLUME OF EUCALYPTUS PLANTATIONS IN BRAZIL USING GEDI LIDAR DATA
title ESTIMATING CANOPY HEIGHT AND WOOD VOLUME OF EUCALYPTUS PLANTATIONS IN BRAZIL USING GEDI LIDAR DATA
spellingShingle ESTIMATING CANOPY HEIGHT AND WOOD VOLUME OF EUCALYPTUS PLANTATIONS IN BRAZIL USING GEDI LIDAR DATA
Fayad, Ibrahim
Brazil
Dominant height
Eucalyptus
GEDI
Lidar
Wood volume
title_short ESTIMATING CANOPY HEIGHT AND WOOD VOLUME OF EUCALYPTUS PLANTATIONS IN BRAZIL USING GEDI LIDAR DATA
title_full ESTIMATING CANOPY HEIGHT AND WOOD VOLUME OF EUCALYPTUS PLANTATIONS IN BRAZIL USING GEDI LIDAR DATA
title_fullStr ESTIMATING CANOPY HEIGHT AND WOOD VOLUME OF EUCALYPTUS PLANTATIONS IN BRAZIL USING GEDI LIDAR DATA
title_full_unstemmed ESTIMATING CANOPY HEIGHT AND WOOD VOLUME OF EUCALYPTUS PLANTATIONS IN BRAZIL USING GEDI LIDAR DATA
title_sort ESTIMATING CANOPY HEIGHT AND WOOD VOLUME OF EUCALYPTUS PLANTATIONS IN BRAZIL USING GEDI LIDAR DATA
author Fayad, Ibrahim
author_facet Fayad, Ibrahim
Baghdadi, Nicolas
Alvares, Clayton Alcarde [UNESP]
Stape, Jose Luiz [UNESP]
Bailly, Jean Stéphane
Scolforo, Henrique Ferraço
Zribi, Mehrez
Le Maire, Guerric
author_role author
author2 Baghdadi, Nicolas
Alvares, Clayton Alcarde [UNESP]
Stape, Jose Luiz [UNESP]
Bailly, Jean Stéphane
Scolforo, Henrique Ferraço
Zribi, Mehrez
Le Maire, Guerric
author2_role author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv AgroParisTech
Universidade Estadual Paulista (UNESP)
Suzano SA
Univ Montpellier
INRAE
UMR Eco&Sols
Montpellier SupAgro
dc.contributor.author.fl_str_mv Fayad, Ibrahim
Baghdadi, Nicolas
Alvares, Clayton Alcarde [UNESP]
Stape, Jose Luiz [UNESP]
Bailly, Jean Stéphane
Scolforo, Henrique Ferraço
Zribi, Mehrez
Le Maire, Guerric
dc.subject.por.fl_str_mv Brazil
Dominant height
Eucalyptus
GEDI
Lidar
Wood volume
topic Brazil
Dominant height
Eucalyptus
GEDI
Lidar
Wood volume
description Full waveform (FW) LiDAR systems have gained momentum to map forest biophysical variables in the last two decades, owing to their ability to accurately estimate canopy heights and aboveground biomass. Currently, the Global Ecosystem Dynamics Investigation (GEDI) system on board of the International Space Station (ISS) is the most recent FW spaceborne LiDAR instrument for the continuous observation of earth's forests. Here, we assess the accuracy of GEDI FW data for the estimation of stand-scale dominant heights (Hdom), and stand volume (V) using linear and nonlinear regression models based on several GEDI metrics. The models were calibrated and validated using in-situ data from Eucalyptus plantations in Brazil. Overall, the most accurate estimates of Hdom and V were obtained using the stepwise regression, with an RMSE of 1.44 m (R2 of 0.92) and 24.39 m3.ha-1 (R2 of 0.90) respectively. The principal metric explaining more than 87% and 84% of the variability (R2) of Hdom and V was the metric representing the height above the ground at which 90% of the waveform energy occurs.
publishDate 2021
dc.date.none.fl_str_mv 2021-01-01
2022-04-28T19:51:32Z
2022-04-28T19:51:32Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1109/IGARSS47720.2021.9553091
International Geoscience and Remote Sensing Symposium (IGARSS), v. 2021-July, p. 5941-5944.
http://hdl.handle.net/11449/223589
10.1109/IGARSS47720.2021.9553091
2-s2.0-85125998161
url http://dx.doi.org/10.1109/IGARSS47720.2021.9553091
http://hdl.handle.net/11449/223589
identifier_str_mv International Geoscience and Remote Sensing Symposium (IGARSS), v. 2021-July, p. 5941-5944.
10.1109/IGARSS47720.2021.9553091
2-s2.0-85125998161
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv International Geoscience and Remote Sensing Symposium (IGARSS)
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 5941-5944
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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