ESTIMATING CANOPY HEIGHT AND WOOD VOLUME OF EUCALYPTUS PLANTATIONS IN BRAZIL USING GEDI LIDAR DATA
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , , , |
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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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:29462024-08-05T16:48:56.524841Repositório 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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1808128224479150080 |