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dc.contributor.authorMELLO, M. P. de
dc.contributor.authorPRADO, B. R. do
dc.contributor.authorSILVA, G. B. S. da
dc.contributor.authorSHIMABUKURO, Y. E.
dc.contributor.authorSANO, E. E.
dc.date.accessioned2023-03-21T13:50:29Z-
dc.date.available2023-03-21T13:50:29Z-
dc.date.created2009-05-11
dc.date.issued2009
dc.identifier.citationIn: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 14., 2009, Natal. Anais... São José dos Campos: INPE, 2009.
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/557276-
dc.descriptionABSTRACT - The Cerrado biome covers more than two million km² in the central region of Brazil. It is the second largest biome in this country, presenting rich biodiversity. Remote sensing is a useful tool for characterizing land covers. However, because of its particularities and vegetation diversity, Cerrado is not easily distinguishable in optical images. So the use of remote sensing for discriminating Cerrado vegetation requires an investigation of the behavior of their spectral characteristics. This paper analyzes the behavior of vegetation cover in the Cerrado biome through the Landsat5/TM spectral bands and the corresponding synthetic bands derived from mixing models. It also seeks the ways to facilitate the discrimination of the vegetation type classes by defining specific indices using remote sensing tools. The Brasília National Park was chosen as the study area for this research. The methodology used the Linear Spectral Mixture Model applied to two sets of endmembers (green vegetation, bare soil and shade; and green vegetation, dry vegetation and shade) to generate the corresponding fraction images (synthetic bands), which could discriminate the vegetation classes of interest. The use of dry vegetation as one of the endmembers showed more promising results than the use of bare soil for distinguishing Cerrado?s phytophysiognomies.
dc.language.isopor
dc.rightsopenAccess
dc.subjectFitofisionomia
dc.titleComportamento espectral de fitofisionomias do Cerrado e desenvolvimento de índices utilizando bandas sintéticas derivadas de Modelos Lineares de Mistura Espectral aplicados na discriminação de fitofisionomias.
dc.typeArtigo em anais e proceedings
dc.subject.thesagroCerrado
dc.subject.thesagroSensoriamento Remoto
dc.subject.thesagroVegetação
dc.subject.nalthesaurusLandsat
dc.subject.nalthesaurusRemote sensing
dc.subject.nalthesaurusVegetation
dc.format.extent2P. 2839-2846
riaa.ainfo.id557276
riaa.ainfo.lastupdate2023-03-21
dc.contributor.institutionMÁRCIO PUPIN DE MELLO, INSTITUTO NACIONAL DE PESQUISAS ESPACIAIS; BRUNO RODRIGUES DO PRADO, INSTITUTO NACIONAL DE PESQUISAS ESPACIAIS; GUSTAVO BAYMA SIQUEIRA DA SILVA, INSTITUTO NACIONAL DE PESQUISAS ESPACIAIS; YOSIO EDEMIR SHIMABUKURO, INSTITUTO NACIONAL DE PESQUISAS ESPACIAIS; EDSON EYJI SANO, CPAC.
Aparece en las colecciones:Artigo em anais de congresso (CPAC)

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