Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/902215
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dc.contributor.authorSILVA, G. B. S. dapt_BR
dc.contributor.authorFORMAGGIO, A. R.pt_BR
dc.contributor.authorSHIMABUKURO, Y. E.pt_BR
dc.contributor.authorSANO, E. E.pt_BR
dc.date.accessioned2011-10-04T11:11:11Zpt_BR
dc.date.accessioned2011-10-04T11:11:11Zpt_BR
dc.date.available2011-10-04T11:11:11Zpt_BR
dc.date.available2011-10-04T11:11:11Zpt_BR
dc.date.created2011-10-04pt_BR
dc.date.issued2011pt_BR
dc.identifier.citationIn: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 15., 2011, Curitiba. Anais... São José dos Campos: INPE, 2011.pt_BR
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/902215pt_BR
dc.descriptionIn the last decades, Brazil has become a global agricultural power and the Cerrado biome (Brazilian savanna) has been playing an important role in the Brazilian agriculture growth. To better analyze the biome human disturbance dynamics, it is necessary to develop and adopt effective methods of assessment and monitoring of land use and land cover changes. The goal is to provide adequate land cover classifications and implement an operational monitoring system in the Cerrado biome, since there is only a few attempts to control the degradation of this biome. This monitoring system can be accomplished using MODIS images, as this sensor has great potential for studies about the seasonal dynamics of Cerrado vegetation phytophysiognomies. Due to this new dynamics, the main objective of this work was to apply the PRODES and DETER like methodologies to detect and map deforestation in the Cerrado biome of Mato Grosso State, Brazil, using Landsat and MODIS data. The proposed methodology was able to detect correctly 65% of all MODIS detected polygons; this represented 74% of estimated area of deforestation. Also, it showed suitability to identify new deforested areas in both shrubland and forestland areas with a tendency to misclassify smaller polygons (< 50 ha) of deforestation.pt_BR
dc.language.isoengeng
dc.rightsopenAccesseng
dc.subjectMonitoramento operacionalpt_BR
dc.subjectFormação florestal e savânicapt_BR
dc.subjectModelo linear de mistura espectralpt_BR
dc.titleMonitoramento e detecção de desmatamento no bioma Cerrado matogrossense utilizando imagens de multisensores.pt_BR
dc.typeArtigo em anais e proceedingspt_BR
dc.date.updated2019-05-03T11:11:11Zpt_BR
dc.subject.thesagroCobertura Vegetalpt_BR
dc.format.extent2p. 2849-2855.pt_BR
riaa.ainfo.id902215pt_BR
riaa.ainfo.lastupdate2019-05-03 -03:00:00pt_BR
dc.contributor.institutionGUSTAVO BAYMA SIQUEIRA DA SILVA, CNPM; ANTONIO ROBERTO FORMAGGIO, INPE; YOSIO EDEMIR SHIMABUKURO, INPE; EDSON EYJI SANO, CPAC.pt_BR
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