Caracterização espectral da água e da vegetação aquásubmersa no estuário da Lagoa dos Patos (RS, Brasil).
Autor(a) principal: | |
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Data de Publicação: | 2011 |
Outros Autores: | , , |
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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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) |
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Repositório Institucional da FURG (RI FURG) |
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Repositório Institucional da FURG (RI FURG) - Universidade Federal do Rio Grande (FURG) |
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1813187237923258368 |