Caracterização espectral da água e da vegetação aquásubmersa no estuário da Lagoa dos Patos (RS, Brasil).

Detalhes bibliográficos
Autor(a) principal: Gianasi, Bruno Lainetti
Data de Publicação: 2011
Outros Autores: Oliveira, Allan de Oliveira de, Pereira Filho, Waterloo, Copertino, Margareth da Silva
Tipo de documento: Artigo de conferência
Idioma: por
Título da fonte: Repositório Institucional da FURG (RI FURG)
Texto Completo: http://repositorio.furg.br/handle/1/2131
Resumo: Submerged aquatic vegetation (SAV) in Patos Lagoon estuary, composed by seagrasses and benthic macroalgae, shows a high temporal variability in its distribuition, abundance and composition, mainly related to fluvial discharge, sediment dynamics and water quality. However, most studies were punctual, and the techniques used are very limited in space. Remote sensing techniques have been recently applied for SAV monitoring and studying, in order to detect temporal changes and at same time providing a good resolution of spatial dynamics,allowing to evaluate the magnitude and persistence of the changes in abundande and structure. However, the success of such methodology depends on the comprehension of the spectral responses of the SAV and other water and sediment optical components. This study investigated the spectral responses of SAV in a Patos Lagoon shallow bay, by using radiometric techniques in situ. Although the high optical complexity of the estuarine region studied, the results allowed discriminating a vegetated shallow area from the adjacent deep waters. Under conditions of low turbity, and moderated to high biomass coverage, the present SAV community (mainly green macroalgae) was characterized by very low albedo, distinctive reflectance in 700nm, deep absorption in 660nm and high correlation with the green/blue reflectance ratio. The low sampling size did not allowed a good resolution of the spectral response of water parameters, particularly the chlorophyll. Further studies are focusing in obtain radiometric data under several hydrological and optical conditions, with a highly distribution in space.
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spelling Caracterização espectral da água e da vegetação aquásubmersa no estuário da Lagoa dos Patos (RS, Brasil).Sensoriamento remotoespectrorradiometriaSensoriam fanerógamas submersasmacroalgasclorofilaSubmerged aquatic vegetation (SAV) in Patos Lagoon estuary, composed by seagrasses and benthic macroalgae, shows a high temporal variability in its distribuition, abundance and composition, mainly related to fluvial discharge, sediment dynamics and water quality. However, most studies were punctual, and the techniques used are very limited in space. Remote sensing techniques have been recently applied for SAV monitoring and studying, in order to detect temporal changes and at same time providing a good resolution of spatial dynamics,allowing to evaluate the magnitude and persistence of the changes in abundande and structure. However, the success of such methodology depends on the comprehension of the spectral responses of the SAV and other water and sediment optical components. This study investigated the spectral responses of SAV in a Patos Lagoon shallow bay, by using radiometric techniques in situ. Although the high optical complexity of the estuarine region studied, the results allowed discriminating a vegetated shallow area from the adjacent deep waters. Under conditions of low turbity, and moderated to high biomass coverage, the present SAV community (mainly green macroalgae) was characterized by very low albedo, distinctive reflectance in 700nm, deep absorption in 660nm and high correlation with the green/blue reflectance ratio. The low sampling size did not allowed a good resolution of the spectral response of water parameters, particularly the chlorophyll. Further studies are focusing in obtain radiometric data under several hydrological and optical conditions, with a highly distribution in space.2012-07-11T18:02:08Z2012-07-11T18:02:08Z2011info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjectapplication/pdfBruno Lainetti Gianasi,et al,Caracterização espectral da água e da vegetação aquática submersa no estuário da Lagoa dos Patos (RS, Brasil),In: XV Simposio Brasileiro de Sensoriamento Remoto,2011,Curitiba,Anais eletrônicos...Curitiba:XV Simpósio Brasileiro de Sensoriamento Remoto,2011,p.7051,Disponivel em:<http://www.dsr.inpe.br/sbsr2011/files/p1409.pdf>, Acesso em:11 jul.2012.http://repositorio.furg.br/handle/1/2131porGianasi, Bruno LainettiOliveira, Allan de Oliveira dePereira Filho, WaterlooCopertino, Margareth da Silvainfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da FURG (RI FURG)instname:Universidade Federal do Rio Grande (FURG)instacron:FURG2023-08-21T15:57:59Zoai:repositorio.furg.br:1/2131Repositório InstitucionalPUBhttps://repositorio.furg.br/oai/request || http://200.19.254.174/oai/requestopendoar:2023-08-21T15:57:59Repositório Institucional da FURG (RI FURG) - Universidade Federal do Rio Grande (FURG)false
dc.title.none.fl_str_mv Caracterização espectral da água e da vegetação aquásubmersa no estuário da Lagoa dos Patos (RS, Brasil).
title Caracterização espectral da água e da vegetação aquásubmersa no estuário da Lagoa dos Patos (RS, Brasil).
spellingShingle Caracterização espectral da água e da vegetação aquásubmersa no estuário da Lagoa dos Patos (RS, Brasil).
Gianasi, Bruno Lainetti
Sensoriamento remoto
espectrorradiometria
Sensoriam fanerógamas submersas
macroalgas
clorofila
title_short Caracterização espectral da água e da vegetação aquásubmersa no estuário da Lagoa dos Patos (RS, Brasil).
title_full Caracterização espectral da água e da vegetação aquásubmersa no estuário da Lagoa dos Patos (RS, Brasil).
title_fullStr Caracterização espectral da água e da vegetação aquásubmersa no estuário da Lagoa dos Patos (RS, Brasil).
title_full_unstemmed Caracterização espectral da água e da vegetação aquásubmersa no estuário da Lagoa dos Patos (RS, Brasil).
title_sort Caracterização espectral da água e da vegetação aquásubmersa no estuário da Lagoa dos Patos (RS, Brasil).
author Gianasi, Bruno Lainetti
author_facet Gianasi, Bruno Lainetti
Oliveira, Allan de Oliveira de
Pereira Filho, Waterloo
Copertino, Margareth da Silva
author_role author
author2 Oliveira, Allan de Oliveira de
Pereira Filho, Waterloo
Copertino, Margareth da Silva
author2_role author
author
author
dc.contributor.author.fl_str_mv Gianasi, Bruno Lainetti
Oliveira, Allan de Oliveira de
Pereira Filho, Waterloo
Copertino, Margareth da Silva
dc.subject.por.fl_str_mv Sensoriamento remoto
espectrorradiometria
Sensoriam fanerógamas submersas
macroalgas
clorofila
topic Sensoriamento remoto
espectrorradiometria
Sensoriam fanerógamas submersas
macroalgas
clorofila
description Submerged aquatic vegetation (SAV) in Patos Lagoon estuary, composed by seagrasses and benthic macroalgae, shows a high temporal variability in its distribuition, abundance and composition, mainly related to fluvial discharge, sediment dynamics and water quality. However, most studies were punctual, and the techniques used are very limited in space. Remote sensing techniques have been recently applied for SAV monitoring and studying, in order to detect temporal changes and at same time providing a good resolution of spatial dynamics,allowing to evaluate the magnitude and persistence of the changes in abundande and structure. However, the success of such methodology depends on the comprehension of the spectral responses of the SAV and other water and sediment optical components. This study investigated the spectral responses of SAV in a Patos Lagoon shallow bay, by using radiometric techniques in situ. Although the high optical complexity of the estuarine region studied, the results allowed discriminating a vegetated shallow area from the adjacent deep waters. Under conditions of low turbity, and moderated to high biomass coverage, the present SAV community (mainly green macroalgae) was characterized by very low albedo, distinctive reflectance in 700nm, deep absorption in 660nm and high correlation with the green/blue reflectance ratio. The low sampling size did not allowed a good resolution of the spectral response of water parameters, particularly the chlorophyll. Further studies are focusing in obtain radiometric data under several hydrological and optical conditions, with a highly distribution in space.
publishDate 2011
dc.date.none.fl_str_mv 2011
2012-07-11T18:02:08Z
2012-07-11T18:02:08Z
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 Bruno Lainetti Gianasi,et al,Caracterização espectral da água e da vegetação aquática submersa no estuário da Lagoa dos Patos (RS, Brasil),In: XV Simposio Brasileiro de Sensoriamento Remoto,2011,Curitiba,Anais eletrônicos...Curitiba:XV Simpósio Brasileiro de Sensoriamento Remoto,2011,p.7051,Disponivel em:<http://www.dsr.inpe.br/sbsr2011/files/p1409.pdf>, Acesso em:11 jul.2012.
http://repositorio.furg.br/handle/1/2131
identifier_str_mv Bruno Lainetti Gianasi,et al,Caracterização espectral da água e da vegetação aquática submersa no estuário da Lagoa dos Patos (RS, Brasil),In: XV Simposio Brasileiro de Sensoriamento Remoto,2011,Curitiba,Anais eletrônicos...Curitiba:XV Simpósio Brasileiro de Sensoriamento Remoto,2011,p.7051,Disponivel em:<http://www.dsr.inpe.br/sbsr2011/files/p1409.pdf>, Acesso em:11 jul.2012.
url http://repositorio.furg.br/handle/1/2131
dc.language.iso.fl_str_mv por
language por
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositório Institucional da FURG (RI FURG)
instname:Universidade Federal do Rio Grande (FURG)
instacron:FURG
instname_str Universidade Federal do Rio Grande (FURG)
instacron_str FURG
institution FURG
reponame_str Repositório Institucional da FURG (RI FURG)
collection Repositório Institucional da FURG (RI FURG)
repository.name.fl_str_mv Repositório Institucional da FURG (RI FURG) - Universidade Federal do Rio Grande (FURG)
repository.mail.fl_str_mv
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