Please use this identifier to cite or link to this item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/880120
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dc.contributor.authorSANTOS, W. J. R. dospt_BR
dc.contributor.authorALVES, H. M. R.pt_BR
dc.contributor.authorVIEIRA, T. G. C.pt_BR
dc.contributor.authorVOLPATO, M. M. L.pt_BR
dc.contributor.otherWALBERT JÚNIOR REIS DOS SANTOS, UFLA/EPAMIG; HELENA MARIA RAMOS ALVES, SAPC; TATIANA GROSSI CHQUILOF VIEIRA, EPAMIG; MARGARETE MARIN LORDELO VOLPATO, EPAMIG.pt_BR
dc.date.accessioned2011-04-09T22:26:59Z-
dc.date.available2011-04-09T22:26:59Z-
dc.date.created2011-03-04pt_BR
dc.date.issued2009pt_BR
dc.identifier.other26pt_BR
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/880120pt_BR
dc.descriptionThis work evaluates the influence of slope in the classification of remotely sensed images used to map coffee lands of the region of Três Pontas in the state of Minas Gerais in Brazil. A Landsat image from 07/16/2008, restaured to 10 m, was used for both, the visual classification, considered as reference map, and the supervised classification using the maximum likelihood algorithm, Maxver, available in the GIS SPRING. Slope information was obtained from SRTM data, which were segmented in classes with intervals of 4% of declivity. To assess the influence of slope in the supervised classification the two maps were overlaid in order to obtain a third map with the confusion areas, i.e. the areas which were classified as coffee plantations by the maxver algorithm but were not coffee in the reference map. This third map, with the confusion areas, was then overlaid onto the slope map. The results showed that most of the areas wrongly classified were at slopes classes of more than 12% of declivity, demonstrating the influence of the relief in the performance of the maxver classifier.pt_BR
dc.description.uribitstream/item/29138/1/Influencia-do-declive.pdfpt_BR
dc.languagept_BRpt_BR
dc.language.isoporpt_BR
dc.publisherIn: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 14., 2009, Natal.pt_BR
dc.relation.ispartofEmbrapa Café - Artigo em anais de congresso (ALICE)pt_BR
dc.subjectMapa do uso da terrapt_BR
dc.subjectClassificação de imagempt_BR
dc.subjectMáxima verossimilhan çapt_BR
dc.subjectImage classificationpt_BR
dc.subjectMaximum likelihood classifier.pt_BR
dc.subjectLand use mappingpt_BR
dc.titleInfluência do declive na exatidão do classificador MAXVER para o mapeamento da cultura do café.pt_BR
dc.typeArtigo em anais de congresso (ALICE)pt_BR
dc.date.updated2011-04-10T11:11:11Zpt_BR
dc.ainfo.id880120pt_BR
dc.ainfo.lastupdate2011-03-15pt_BR
Appears in Collections:Artigo em anais de congresso (SAPC)

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