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dc.contributor.authorDANTAS, M. S.pt_BR
dc.contributor.authorROSA, R. R.pt_BR
dc.contributor.authorCALHEIROS, D. F.pt_BR
dc.contributor.authorVERONESE, T. B.pt_BR
dc.contributor.authorLIMA, I. B. T. dept_BR
dc.contributor.authorHAMILTON, S.pt_BR
dc.date.accessioned2014-07-24T06:07:25Z-
dc.date.available2014-07-24T06:07:25Z-
dc.date.created2010-02-25pt_BR
dc.date.issued2009pt_BR
dc.identifier.citationIn: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 14., 2009, Natal. Anais... São José dos Campos: INPE, 2009.pt_BR
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/788901pt_BR
dc.descriptionInundation seasonal patterns are important in the understanding of tropical floodplain ecosystems dynamics. In this study, we have analyzed data derived from 37-GHz polarization differences observed by the Nimbus-7 Scanning Multichannel Microwave Radiometer (SMMR). The passive microwave observations, for 10 Pantanal subregioes, provide an robust signature of inundation dynamics in large wetlands such as the Pantanal. The time series was obtained taking into account the differences between vertically and horizontally polarized brightness temperatures providing a sensitive indicator of the surface water against a vegetation land surface background. Each time series was analyzed by applying the gradient pattern analysis on a multiresolution representation obtained from wavelet decomposition /reconstrution technique. The main result have shown similar variability patterns for the following groups of subregions: (i) Miranda and Piquiri; (ii) Negro and Nhecolandia; (iii) Corixo, Paraguay, Cuiabá and Taquari fan; and (iv) Taquari river and Nabileque. Some hydrological aspects are discussed in order to understand the clusterization found from our results.pt_BR
dc.language.isoporpt_BR
dc.rightsopenAccesspt_BR
dc.subjectpadrçoes de inundaçãopt_BR
dc.subjectvarredura multi-canal em microondaspt_BR
dc.subjectanálise de padrões-gradientept_BR
dc.titleAnálise espectral de dados SMMR para estudo de padrões de Inundação do Pantanal.pt_BR
dc.typeArtigo em anais e proceedingspt_BR
dc.date.updated2014-07-24T06:07:25Zpt_BR
dc.subject.nalthesaurusPantanalpt_BR
dc.subject.nalthesauruswaveletpt_BR
dc.format.extent2p. 4701- 4706pt_BR
riaa.ainfo.id788901pt_BR
riaa.ainfo.lastupdate2014-07-22pt_BR
dc.contributor.institutionMurilo da Silva Dantas, INPE; Reinaldo Roberto Rosa, INPE; DEBORA FERNANDES CALHEIROS, CPAP; Thalita Biazzuz Veronese, INPE; IVAN BERGIER TAVARES DE LIMA, CPAP; Stephen Hamilton, Michigan State University.pt_BR
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