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dc.contributor.authorGALVÍNCIO, J. D.pt_BR
dc.contributor.authorMOURA, M. S. B. dept_BR
dc.contributor.authorSILVA, T. G. F dapt_BR
dc.contributor.authorSILVA, B. B. dapt_BR
dc.contributor.authorNAUE, C. R.pt_BR
dc.date.accessioned2013-12-17T11:11:11Zpt_BR
dc.date.available2013-12-17T11:11:11Zpt_BR
dc.date.created2013-12-17pt_BR
dc.date.issued2013pt_BR
dc.identifier.citationRevista Brasileira de Geografia Física, Recife, v. 6, n. 2, p. 341-355, 2013.pt_BR
dc.identifier.issn1984-2295pt_BR
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/974182pt_BR
dc.descriptionRemote sensing and digital images are techniques that have the potential to assist in the analysis of terrestrial ecosystems in spatial scale. It is known that a forest monitoring is more accurate when you know the ecosystem features at different spatial scales. Relate measurements with remote sensing and obtained in the field (scales of detail) is challenging since several physical interference (biotic and abiotic) can provide errors in these relationships. One of the difficulties in obtaining estimates of parameters and vegetation biophysical variables with remote sensing are the spatial resolution is often low and this complicates the relationship between the regional data, location and detail. Thus, this study aims to evaluate the similarity and the correlation between canopy reflectance and leaf and propose a model that improves the estimates in leaf scale. We used cluster analysis, t-test, Pearson correlation and regression to analyze the similarity between samples, the degree of correlation and regression finally adopted for the model. The results were quite satisfactory and showed that there are significant differences between the reflectance in the leaf and canopy in Savannah for a significance level of 0.01. The model developed here can be using with high significance for high spatial resolution images such as IKONOS.pt_BR
dc.language.isoengeng
dc.rightsopenAccesseng
dc.subjectImagens digitaispt_BR
dc.subjectAnalise de clusterpt_BR
dc.subjectRegressãopt_BR
dc.subjectFloresta secapt_BR
dc.subjectInteração folha dosselpt_BR
dc.subjectNatural resourcept_BR
dc.titleRelationship between canopy and leaf spectral response in Savanna.pt_BR
dc.typeArtigo de periódicopt_BR
dc.date.updated2013-12-17T11:11:11Zpt_BR
dc.subject.thesagroRecurso naturalpt_BR
dc.subject.thesagroSensoriamento remotopt_BR
dc.subject.thesagroEcossistemapt_BR
riaa.ainfo.id974182pt_BR
riaa.ainfo.lastupdate2013-12-17pt_BR
dc.contributor.institutionJOSICLÊDA DOMICIANO GALVÍNCIO; MAGNA SOELMA BESERRA DE MOURA, CPATSA; THIERES GEORGE FREIRE DA SILVA; BERNARDO BARBOSA DA SILVA; CARINE ROSA NAUE.pt_BR
Aparece en las colecciones:Artigo em periódico indexado (CPATSA)

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