Mangrove vegetation structure in Southeast Brazil from phased array L-band synthetic aperture radar data
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | , |
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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Repositório Institucional da UNESP |
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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:29462024-08-05T15:06:00.136970Repositório 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 |
|
_version_ |
1808128461388120064 |