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dc.contributor.authorSANO, E. E.pt_BR
dc.contributor.authorROSA, R.pt_BR
dc.contributor.authorBRITO, J. L. S.pt_BR
dc.contributor.authorFERREIRA, L. G.pt_BR
dc.date.accessioned2011-07-08T11:53:24Z-
dc.date.available2011-07-08T11:53:24Z-
dc.date.created2008-04-18pt_BR
dc.date.issued2007pt_BR
dc.identifier.citationPlanaltina, DF: Embrapa Cerrados, 2007.pt_BR
dc.identifier.urihttp://www.infoteca.cnptia.embrapa.br/infoteca/handle/doc/570887pt_BR
dc.descriptionABSTRACT: Mapping Cerrado's vegetation cover is difficult because of its geographical extemt (~ 204,7 million hectares), high seasonality, and high spatial and temporal dynamics of its land use activities. The objective of this study was to map the vegetation cover of the Cerrado biome in the 1:250,000 scale using Landsat satellite imageries from the year of 2002. The following classes of land use were considered: croplands, planted pasturelands, reforestations, urban settlements and mining areas. For natural vegetation classes, we used the Brazilian System of Vegetation Classification, developed by the IBGE - Brazilian Institute for Geography and Statistics. The methodological approach involved segmentation of the Landsat imagery, followed by the visual association of the resultant segments with thematic mapping classes of the study area. Based on such semi-automatic approach, we estimated a 61.5 % of natural vegetation cover in the Cerrado. This percentage varied greatly depending upon the region in this biome; from less than 10 % in the south to higher than 90 % in the north of Cerrado.pt_BR
dc.language.isoporpt_BR
dc.relation.ispartofseries(Embrapa Cerrados. Documentos, 190).pt_BR
dc.rightsopenAccesspt_BR
dc.subjectGeoprocessamentopt_BR
dc.subjectGeoprocessingpt_BR
dc.subjectImagempt_BR
dc.subjectLand cover mappingpt_BR
dc.titleMapeamento de cobertura vegetal do bioma Cerrado: estratégias e resultados.pt_BR
dc.typeFolhetospt_BR
dc.date.updated2011-07-08T11:53:24Zpt_BR
dc.subject.thesagroCerradopt_BR
dc.subject.thesagroMapapt_BR
dc.subject.thesagroSatélitept_BR
dc.subject.thesagroSensoriamento Remotopt_BR
dc.subject.nalthesaurusLandsatpt_BR
dc.subject.nalthesaurusremote sensingpt_BR
dc.format.extent233 p.pt_BR
riaa.ainfo.id570887pt_BR
riaa.ainfo.lastupdate2009-10-20pt_BR
dc.contributor.institutionEdson Eyji Sano, CPAC; Roberto Rosa, UFU; Jorge Luís Silva Brito, UFU; Laerte Guimarães Ferreira.pt_BR
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