Mangrove vegetation structure in Southeast Brazil from phased array L-band synthetic aperture radar data

Detalhes bibliográficos
Autor(a) principal: Souza Pereira, Francisca Rocha de
Data de Publicação: 2016
Outros Autores: Kampel, Milton, Cunha-Lignon, Marilia [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1117/1.JRS.10.036021
http://hdl.handle.net/11449/162247
Resumo: The potential use of phased array type L-band synthetic aperture radar (PALSAR) data for discriminating distinct physiographic mangrove types with different forest structure developments in a subtropical mangrove forest located in Cananeia on the Southern coast of Sao Paulo, Brazil, is investigated. The basin and fringe physiographic types and the structural development of mangrove vegetation were identified with the application of the Kruskal-Wallis statistical test to the SAR backscatter values of 10 incoherent attributes. The best results to separate basin to fringe types were obtained using copolarized HH, cross-polarized HV, and the biomass index (BMI). Mangrove structural parameters were also estimated using multiple linear regressions. BMI and canopy structure index were used as explanatory variables for canopy height, mean height, and mean diameter at breast height regression models, with significant R-2 = 0.69, 0.73, and 0.67, respectively. The current study indicates that SAR L-band images can be used as a tool to discriminate physiographic types and to characterize mangrove forests. The results are relevant considering the crescent availability of freely distributed SAR images that can be more utilized for analysis, monitoring, and conservation of the mangrove ecosystem. (C) The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License.
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spelling Mangrove vegetation structure in Southeast Brazil from phased array L-band synthetic aperture radar datamangrovevegetation structure developmentphysiographic typessynthetic aperture radarphased array type L-band synthetic aperture radarThe potential use of phased array type L-band synthetic aperture radar (PALSAR) data for discriminating distinct physiographic mangrove types with different forest structure developments in a subtropical mangrove forest located in Cananeia on the Southern coast of Sao Paulo, Brazil, is investigated. The basin and fringe physiographic types and the structural development of mangrove vegetation were identified with the application of the Kruskal-Wallis statistical test to the SAR backscatter values of 10 incoherent attributes. The best results to separate basin to fringe types were obtained using copolarized HH, cross-polarized HV, and the biomass index (BMI). Mangrove structural parameters were also estimated using multiple linear regressions. BMI and canopy structure index were used as explanatory variables for canopy height, mean height, and mean diameter at breast height regression models, with significant R-2 = 0.69, 0.73, and 0.67, respectively. The current study indicates that SAR L-band images can be used as a tool to discriminate physiographic types and to characterize mangrove forests. The results are relevant considering the crescent availability of freely distributed SAR images that can be more utilized for analysis, monitoring, and conservation of the mangrove ecosystem. (C) The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License.JAXACoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Natl Inst Space Res, Remote Sensing Div, Av Astronautas 1758, BR-12227010 Sao Jose Dos Campos, BrazilUniv Estadual Paulista, Campus Expt Registro,Rua Nelson Brihi Badur 430, BR-11900000 Sao Paulo, BrazilUniv Estadual Paulista, Campus Expt Registro,Rua Nelson Brihi Badur 430, BR-11900000 Sao Paulo, BrazilJAXA: 219Spie-soc Photo-optical Instrumentation EngineersNatl Inst Space ResUniversidade Estadual Paulista (Unesp)Souza Pereira, Francisca Rocha deKampel, MiltonCunha-Lignon, Marilia [UNESP]2018-11-26T17:13:51Z2018-11-26T17:13:51Z2016-09-06info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article16application/pdfhttp://dx.doi.org/10.1117/1.JRS.10.036021Journal Of Applied Remote Sensing. Bellingham: Spie-soc Photo-optical Instrumentation Engineers, v. 10, 16 p., 2016.1931-3195http://hdl.handle.net/11449/16224710.1117/1.JRS.10.036021WOS:000389878900001WOS000389878900001.pdfWeb of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengJournal Of Applied Remote Sensing0,441info:eu-repo/semantics/openAccess2024-05-03T13:19:55Zoai:repositorio.unesp.br:11449/162247Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-05-03T13:19:55Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Mangrove vegetation structure in Southeast Brazil from phased array L-band synthetic aperture radar data
title Mangrove vegetation structure in Southeast Brazil from phased array L-band synthetic aperture radar data
spellingShingle Mangrove vegetation structure in Southeast Brazil from phased array L-band synthetic aperture radar data
Souza Pereira, Francisca Rocha de
mangrove
vegetation structure development
physiographic types
synthetic aperture radar
phased array type L-band synthetic aperture radar
title_short Mangrove vegetation structure in Southeast Brazil from phased array L-band synthetic aperture radar data
title_full Mangrove vegetation structure in Southeast Brazil from phased array L-band synthetic aperture radar data
title_fullStr Mangrove vegetation structure in Southeast Brazil from phased array L-band synthetic aperture radar data
title_full_unstemmed Mangrove vegetation structure in Southeast Brazil from phased array L-band synthetic aperture radar data
title_sort Mangrove vegetation structure in Southeast Brazil from phased array L-band synthetic aperture radar data
author Souza Pereira, Francisca Rocha de
author_facet Souza Pereira, Francisca Rocha de
Kampel, Milton
Cunha-Lignon, Marilia [UNESP]
author_role author
author2 Kampel, Milton
Cunha-Lignon, Marilia [UNESP]
author2_role author
author
dc.contributor.none.fl_str_mv Natl Inst Space Res
Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Souza Pereira, Francisca Rocha de
Kampel, Milton
Cunha-Lignon, Marilia [UNESP]
dc.subject.por.fl_str_mv mangrove
vegetation structure development
physiographic types
synthetic aperture radar
phased array type L-band synthetic aperture radar
topic mangrove
vegetation structure development
physiographic types
synthetic aperture radar
phased array type L-band synthetic aperture radar
description The potential use of phased array type L-band synthetic aperture radar (PALSAR) data for discriminating distinct physiographic mangrove types with different forest structure developments in a subtropical mangrove forest located in Cananeia on the Southern coast of Sao Paulo, Brazil, is investigated. The basin and fringe physiographic types and the structural development of mangrove vegetation were identified with the application of the Kruskal-Wallis statistical test to the SAR backscatter values of 10 incoherent attributes. The best results to separate basin to fringe types were obtained using copolarized HH, cross-polarized HV, and the biomass index (BMI). Mangrove structural parameters were also estimated using multiple linear regressions. BMI and canopy structure index were used as explanatory variables for canopy height, mean height, and mean diameter at breast height regression models, with significant R-2 = 0.69, 0.73, and 0.67, respectively. The current study indicates that SAR L-band images can be used as a tool to discriminate physiographic types and to characterize mangrove forests. The results are relevant considering the crescent availability of freely distributed SAR images that can be more utilized for analysis, monitoring, and conservation of the mangrove ecosystem. (C) The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License.
publishDate 2016
dc.date.none.fl_str_mv 2016-09-06
2018-11-26T17:13:51Z
2018-11-26T17:13:51Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1117/1.JRS.10.036021
Journal Of Applied Remote Sensing. Bellingham: Spie-soc Photo-optical Instrumentation Engineers, v. 10, 16 p., 2016.
1931-3195
http://hdl.handle.net/11449/162247
10.1117/1.JRS.10.036021
WOS:000389878900001
WOS000389878900001.pdf
url http://dx.doi.org/10.1117/1.JRS.10.036021
http://hdl.handle.net/11449/162247
identifier_str_mv Journal Of Applied Remote Sensing. Bellingham: Spie-soc Photo-optical Instrumentation Engineers, v. 10, 16 p., 2016.
1931-3195
10.1117/1.JRS.10.036021
WOS:000389878900001
WOS000389878900001.pdf
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Journal Of Applied Remote Sensing
0,441
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 16
application/pdf
dc.publisher.none.fl_str_mv Spie-soc Photo-optical Instrumentation Engineers
publisher.none.fl_str_mv Spie-soc Photo-optical Instrumentation Engineers
dc.source.none.fl_str_mv Web of Science
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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