Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/897363
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dc.contributor.authorANTUNES, J. F. G.pt_BR
dc.contributor.authorESQUERDO, J. C. D. M.pt_BR
dc.contributor.authorLAMPARELLI, R. A. C.pt_BR
dc.date.accessioned2011-08-05T11:11:11Zpt_BR
dc.date.accessioned2011-08-05T11:11:11Zpt_BR
dc.date.available2011-08-05T11:11:11Zpt_BR
dc.date.available2011-08-05T11:11:11Zpt_BR
dc.date.created2011-08-05pt_BR
dc.date.issued2011pt_BR
dc.identifier.citationGeografia, Rio Claro, v. 36, p. 173-185, jun. 2011.pt_BR
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/897363pt_BR
dc.descriptionAlthough one of the most preserved ecosystems in Brazil, the Pantanal suffers under problems such as fire, deforestation and changes in the flood and drought cycles. Monitoring all the extension of the Pantanal is essential to detect problems related to land use changes and to infer on the level of floods in the wetlands. The objective of this study was to monitor four areas in the Pantanal with different vegetation cover using the Wavelet Transform applied to a time-series of EVI (Enhanced Vegetation Index) acquired from the MODIS (Moderate Resolution Imaging Spectroradiometer) sensor, between 2005 and 2009, in order to analyze the vegetation phenology dynamics. The results showed that the Coiflet Wavelet Transform of 4th order with 90% power, was able to remove the high frequency noise and highlight the changes of the vegetation phenology with a higher precision, allowing a better analysis of trends in the inter-annual variability of EVI. Changes of the temporal EVI pattern may indicate changes in vegetation phenology, mainly due to rainfall seasonality. The technique is robust and can be extrapolated to other regions of the Pantanal in order to detect deforestation and fire occurrences.pt_BR
dc.language.isoengeng
dc.rightsopenAccesseng
dc.subjectSéries temporais de dados EVI/MODISpt_BR
dc.subjectProcessamento de imagenspt_BR
dc.subjectÍndice de vegetaçãopt_BR
dc.subjectPerfil temporalpt_BR
dc.subjectDetecção da fenologiapt_BR
dc.subjectImage processingpt_BR
dc.titleMonitoring the temporal dynamics of four vegetation cover types from the Pantanal using the wavelet transform applied to a time-series of EVI/MODIS data.pt_BR
dc.typeArtigo de periódicopt_BR
dc.date.updated2013-04-02T11:11:11Zpt_BR
dc.subject.thesagroSensoriamento Remotopt_BR
dc.subject.nalthesaurusRemote sensingpt_BR
dc.subject.nalthesaurusPhenologypt_BR
dc.subject.nalthesaurusTime series analysispt_BR
dc.description.notesNúmero especial.pt_BR
riaa.ainfo.id897363pt_BR
riaa.ainfo.lastupdate2013-04-02pt_BR
dc.contributor.institutionJOÃO FRANCISCO GONÇALVES ANTUNES, CNPTIA; JÚLIO CÉSAR DALLA MORA ESQUERDO, CNPTIA; RUBENS AUGUSTO CAMARGO LAMPARELLI, Cepagri/Unicamp.pt_BR
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