Metodologias de fusão de imagens ópticas e de radar para identificar alvos representativos na várzea Amazônica.
Autor(a) principal: | |
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Data de Publicação: | 2009 |
Outros Autores: | |
Tipo de documento: | Capítulo de livro |
Idioma: | por |
Título da fonte: | Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
Texto Completo: | http://www.alice.cnptia.embrapa.br/alice/handle/doc/557322 |
Resumo: | ABSTRACT - At the Amazonian basin, the strong amplitude of variation of water level draining generates systematic floodings in vast zones called “varzea” (floodplain). This work aims to develop a methodological approach to analyze patterns and techniques to discriminate representative areas of Amazon floodplains using combined, optical (Landsat sensor) and radar (R99B Brasilian Air Force), remotely sensed data providing the delimitation and the identification of representative targets of these areas. Two study areas, selected based on data availability, were located in the regions of the cities of Manaus and Iranduba – AM. For the identification of representative targets in the varzea, we used two image fusion techniques - principal components and IHS transform. The result of this process were hybrid images that have joined a good spatial and spectral resolutions, so we can identify with precision the targets selected. The results were compared with field data. The study had an important support of ProVárzea/Ibama (The Floodplain “Várzea” Natural Resources Management Project), specifically from the group dealing with GIS-based data management for floodplain monitoring. |
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Metodologias de fusão de imagens ópticas e de radar para identificar alvos representativos na várzea Amazônica.Planície de inundaçãoEcossistemaRadarSinergismoVárzeaSensoriamento RemotoLandsatFloodplainsSynergismRemote sensingABSTRACT - At the Amazonian basin, the strong amplitude of variation of water level draining generates systematic floodings in vast zones called “varzea” (floodplain). This work aims to develop a methodological approach to analyze patterns and techniques to discriminate representative areas of Amazon floodplains using combined, optical (Landsat sensor) and radar (R99B Brasilian Air Force), remotely sensed data providing the delimitation and the identification of representative targets of these areas. Two study areas, selected based on data availability, were located in the regions of the cities of Manaus and Iranduba – AM. For the identification of representative targets in the varzea, we used two image fusion techniques - principal components and IHS transform. The result of this process were hybrid images that have joined a good spatial and spectral resolutions, so we can identify with precision the targets selected. The results were compared with field data. The study had an important support of ProVárzea/Ibama (The Floodplain “Várzea” Natural Resources Management Project), specifically from the group dealing with GIS-based data management for floodplain monitoring.CÉSAR VALDENIR TEIXEIRA, INSTITUTO BRASILEIRO DO MEIO AMBIENTE E DOS RECURSOS NATURAIS RENOVÁVEIS; EDSON EYJI SANO, CPAC.TEIXEIRA, C. V.SANO, E. E.2023-03-20T18:50:20Z2023-03-20T18:50:20Z2009-05-112009info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/bookPartP. 7211-7217In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 14., 2009, Natal. Anais... São José dos Campos: INPE, 2009.http://www.alice.cnptia.embrapa.br/alice/handle/doc/557322porinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2023-03-20T18:50:20Zoai:www.alice.cnptia.embrapa.br:doc/557322Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542023-03-20T18:50:20falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542023-03-20T18:50:20Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false |
dc.title.none.fl_str_mv |
Metodologias de fusão de imagens ópticas e de radar para identificar alvos representativos na várzea Amazônica. |
title |
Metodologias de fusão de imagens ópticas e de radar para identificar alvos representativos na várzea Amazônica. |
spellingShingle |
Metodologias de fusão de imagens ópticas e de radar para identificar alvos representativos na várzea Amazônica. TEIXEIRA, C. V. Planície de inundação Ecossistema Radar Sinergismo Várzea Sensoriamento Remoto Landsat Floodplains Synergism Remote sensing |
title_short |
Metodologias de fusão de imagens ópticas e de radar para identificar alvos representativos na várzea Amazônica. |
title_full |
Metodologias de fusão de imagens ópticas e de radar para identificar alvos representativos na várzea Amazônica. |
title_fullStr |
Metodologias de fusão de imagens ópticas e de radar para identificar alvos representativos na várzea Amazônica. |
title_full_unstemmed |
Metodologias de fusão de imagens ópticas e de radar para identificar alvos representativos na várzea Amazônica. |
title_sort |
Metodologias de fusão de imagens ópticas e de radar para identificar alvos representativos na várzea Amazônica. |
author |
TEIXEIRA, C. V. |
author_facet |
TEIXEIRA, C. V. SANO, E. E. |
author_role |
author |
author2 |
SANO, E. E. |
author2_role |
author |
dc.contributor.none.fl_str_mv |
CÉSAR VALDENIR TEIXEIRA, INSTITUTO BRASILEIRO DO MEIO AMBIENTE E DOS RECURSOS NATURAIS RENOVÁVEIS; EDSON EYJI SANO, CPAC. |
dc.contributor.author.fl_str_mv |
TEIXEIRA, C. V. SANO, E. E. |
dc.subject.por.fl_str_mv |
Planície de inundação Ecossistema Radar Sinergismo Várzea Sensoriamento Remoto Landsat Floodplains Synergism Remote sensing |
topic |
Planície de inundação Ecossistema Radar Sinergismo Várzea Sensoriamento Remoto Landsat Floodplains Synergism Remote sensing |
description |
ABSTRACT - At the Amazonian basin, the strong amplitude of variation of water level draining generates systematic floodings in vast zones called “varzea” (floodplain). This work aims to develop a methodological approach to analyze patterns and techniques to discriminate representative areas of Amazon floodplains using combined, optical (Landsat sensor) and radar (R99B Brasilian Air Force), remotely sensed data providing the delimitation and the identification of representative targets of these areas. Two study areas, selected based on data availability, were located in the regions of the cities of Manaus and Iranduba – AM. For the identification of representative targets in the varzea, we used two image fusion techniques - principal components and IHS transform. The result of this process were hybrid images that have joined a good spatial and spectral resolutions, so we can identify with precision the targets selected. The results were compared with field data. The study had an important support of ProVárzea/Ibama (The Floodplain “Várzea” Natural Resources Management Project), specifically from the group dealing with GIS-based data management for floodplain monitoring. |
publishDate |
2009 |
dc.date.none.fl_str_mv |
2009-05-11 2009 2023-03-20T18:50:20Z 2023-03-20T18:50:20Z |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/bookPart |
format |
bookPart |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 14., 2009, Natal. Anais... São José dos Campos: INPE, 2009. http://www.alice.cnptia.embrapa.br/alice/handle/doc/557322 |
identifier_str_mv |
In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 14., 2009, Natal. Anais... São José dos Campos: INPE, 2009. |
url |
http://www.alice.cnptia.embrapa.br/alice/handle/doc/557322 |
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 |
P. 7211-7217 |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa) instacron:EMBRAPA |
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Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
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EMBRAPA |
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EMBRAPA |
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Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
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Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
repository.name.fl_str_mv |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
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cg-riaa@embrapa.br |
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1794503541651406848 |