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dc.contributor.authorFADUL, M. J. do A.
dc.contributor.authorFIDALGO, E. C. C.
dc.contributor.authorPEDREIRA, B. da C. C. G.
dc.contributor.authorPRADO, R. B.
dc.date.accessioned2018-10-24T00:33:06Z-
dc.date.available2018-10-24T00:33:06Z-
dc.date.created2010-01-25
dc.date.issued2009
dc.identifier.citationIn: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 14., 2009, Natal. Anais... São José dos Campos: INPE, 2009. p. 1339-1345.
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/631004-
dc.descriptionMultitemporal, remotely sensed data applied to land use land cover dynamic studies require radiometric correction of images, in addition to geometric correction. This allow the analysis of temporal variation of targets without the influence of others factors such as the atmospheric effects. This study aims to apply the dark-object subtraction technique to correct atmospheric effects and to analyze the results on multitemporal images of rivers Macacu and Caceribu watersheds, in Rio de Janeiro state, in Atlantic Forest region. Images without clouds from sensors TM/Landsat-5 and ETM+/Landsat-7 were selected for analysis of land use land cover dynamic of two periods: 1997 to 2002 and 2002 to 2007. The results indicated that the correction method did not reduce the atmospheric effects in a satisfactory manner. These effects continued to influence in any significant way in the spectral response of the targets. The major differences between the levels of gray of the corrected images were among the images of different sensors, indicating likely influence of the response of the sensors on the final results. o objetivo do presente trabalho é analisar o efeito da correção atmosférica aplicando método de subtração de nível de ci nza em imagens multitemporais da região das bacias hidrográficas dos rios Macacu e Caceribu, no Estado do Rio de Janeiro, em região de Mata Atlântica.
dc.language.isoporeng
dc.rightsopenAccesseng
dc.subjectProcessamento digital de imagens
dc.subjectImagens multitemporais
dc.titleAnálise da correção atmosférica de imagens Landsat em estudo multitemporal na região de Mata Atlântica, Estado do Rio de Janeiro.
dc.typeArtigo em anais e proceedings
dc.date.updated2018-10-24T00:33:06Zpt_BR
dc.subject.thesagroSensoriamento Remoto
riaa.ainfo.id631004
riaa.ainfo.lastupdate2018-10-23
dc.contributor.institutionMARIA JULIA DO AMARAL FADUL, PUC-RIO; ELAINE CRISTINA CARDOSO FIDALGO, CNPS; BERNADETE DA CONCEICAO C G PEDREIRA, CNPS; RACHEL BARDY PRADO, CNPS.
Aparece en las colecciones:Artigo em anais de congresso (CNPS)

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