Metodologias de fusão de imagens ópticas e de radar para identificar alvos representativos na várzea Amazônica.

Detalhes bibliográficos
Autor(a) principal: TEIXEIRA, C. V.
Data de Publicação: 2009
Outros Autores: SANO, E. E.
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.
id EMBR_1038bbfcc9def88f53fe5772de4e09ee
oai_identifier_str oai:www.alice.cnptia.embrapa.br:doc/557322
network_acronym_str EMBR
network_name_str Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
repository_id_str 2154
spelling 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
instname_str Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron_str EMBRAPA
institution EMBRAPA
reponame_str Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
collection 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)
repository.mail.fl_str_mv cg-riaa@embrapa.br
_version_ 1794503541651406848