Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/963366
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dc.contributor.authorBACEGA, A. de O.pt_BR
dc.contributor.authorNEVES, M. C.pt_BR
dc.contributor.authorLUIZ, A. J. B.pt_BR
dc.date.accessioned2013-08-05T11:11:11Zpt_BR
dc.date.available2013-08-05T11:11:11Zpt_BR
dc.date.created2013-08-05pt_BR
dc.date.issued2013pt_BR
dc.identifier.citationIn: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 16., 2013, Foz do Iguaçu. Anais... Foz do Iguaçu: INPE, 2013. p. 5435-5442.pt_BR
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/963366pt_BR
dc.descriptionAbstract: The Brazilian government is encouraging increased production in fish in large reservoirs nationals. In Furnas reservoir (MG) were proposed sixteen aquaculture parks for the installation of cages and we intend to implement a framework for monitoring water quality in these parks. Therefore it is important to know the parameters of water quality and its variation over time. This paper presents a method for classifying these aquaculture parks in function of its spectral response and multitemporal. To consider different situations in the analysis were used ten Landsat images, five in the rainy season and five in the dry season. The images were selected from the database of images from the TM sensor of Landsat 5 satellite. We used the bands 1, 2, 3 and 4, forming a database with 40 variables. In the final stage, we used the hierarchical cluster analysis by Ward method to group the parks into similar clusters.pt_BR
dc.language.isoporpt_BR
dc.rightsopenAccesspt_BR
dc.subjectProcessamento de imagenspt_BR
dc.subjectClassificação hierárquica Wardpt_BR
dc.titleClassificação de parques aquícolas na represa de Furnas em função da resposta espectral multitemporal.pt_BR
dc.typeArtigo em anais e proceedingspt_BR
dc.date.updated2013-08-05T11:11:11Zpt_BR
dc.subject.thesagroSensoriamento remotopt_BR
dc.subject.thesagroQualidade da águapt_BR
dc.subject.thesagroReservatório de águapt_BR
dc.subject.nalthesaurusRemote sensingpt_BR
dc.subject.nalthesaurusCluster analysispt_BR
riaa.ainfo.id963366pt_BR
riaa.ainfo.lastupdate2013-08-05pt_BR
dc.contributor.institutionALESSANDRA DE OLIVEIRA BACEGA, UNICAMP; MARCOS CORREA NEVES, CNPMA; ALFREDO JOSE BARRETO LUIZ, CNPMA.pt_BR
Aparece nas coleções:Artigo em anais de congresso (CNPMA)

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