Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/940553
Registro completo de metadados
Campo DCValorIdioma
dc.contributor.authorSANTOS, S. A.eng
dc.contributor.authorLIMA, H. P. deeng
dc.contributor.authorOLIVEIRA, L. O. F. deeng
dc.contributor.authorTOMÁS, W. M.eng
dc.contributor.authorABREU, U. G. P. deeng
dc.contributor.authorMASSRUHÁ, S. M. F. S.eng
dc.contributor.authorPEROTTO-BALDIVIESO, H. L.eng
dc.date.accessioned2020-01-08T18:13:22Z-
dc.date.available2020-01-08T18:13:22Z-
dc.date.created2012-11-26
dc.date.issued2012
dc.identifier.citationIn: SIMPÓSIO DE GEOTECNOLOGIAS NO PANTANAL, 4., 2012, Bonito, MS. Anais... Brasília, DF: Embrapa, 2012.eng
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/940553-
dc.descriptionAbstract: In this study, an index natural potential for livestock ranching (NPLR) at ranch level in the Pantanal wetland was obtained using landscape indicators combined with fuzzy inference process. Four landscape indicators related with livestock production were selected by an expertise group. The application of this approach was illustrated through a pilot ranch located in the Nhecolândia sub-region, Pantanal, MS. Remote Sensing (RS) and Geographic Information System (GIS) technologies were used to map the vegetation types and aquatic habitats (landscapes types) in this ranch. Landscape type?s composition metrics were obtained using the ArcGis 9 and were used to estimate the four indicators selected by expertise: forest cover proportion (FC); landscape productive value (LPV); diversity of aquatic habitats (DAH) and flooding degree (FD). Fuzzy inference process involving definitions of membership functions, fuzzy set operations and inference rule were run and validated with the participation of core stakeholders. Different scenarios also were simulated in batch and validated with the participation of stakeholders. Both procedures were performed by Webfuzzy software. The NPLR index value found in the pilot ranch was as expected by both expertise and stakeholders. Fuzzy logic combined with landscape metric seems to be suitable for the definition of the natural potential of ranches to produce livestock in the Pantanal.eng
dc.format1 CD-ROM.eng
dc.language.isoengeng
dc.rightsopenAccesseng
dc.subjectAnálise de paisagemeng
dc.subjectIndicador de sustentabilidadeeng
dc.subjectAprendizado de máquina fuzzyeng
dc.subjectValidação participativaeng
dc.titleIntegrating remote sensing, geographic information system and fuzzy logic: an index to evaluate the natural potential for livestock ranching in the Pantanal.eng
dc.typeArtigo em anais e proceedingseng
dc.date.updated2020-01-08T18:13:22Z
dc.subject.thesagroSensoriamento Remotoeng
dc.subject.thesagroSistema de Informação Geográficaeng
dc.subject.nalthesaurusRemote sensingeng
dc.subject.nalthesaurusGeographic information systemseng
dc.description.notesGeopantanal 2012.eng
dc.format.extent2p. 202-209.eng
riaa.ainfo.id940553eng
riaa.ainfo.lastupdate2020-01-08
dc.contributor.institutionSANDRA APARECIDA SANTOS, CPAP; HELANO PÓVOAS DE LIMA, CNPTIA; LUÍZ ORCIRIO FIALHO DE OLIVEIRA, CPAP; WALFRIDO MORAES TOMÁS, CPAP; URBANO GOMES PINTO DE ABREU, CPAP; SILVIA MARIA FONSECA SILVEIRA MASSRUHÁ, CNPTIA; HUMBERTO L. PEROTTO-BALDIVIESO, Cranfield University.eng
Aparece nas coleções:Artigo em anais de congresso (CNPTIA)

Arquivos associados a este item:
Arquivo Descrição TamanhoFormato 
p43.pdf1,58 MBAdobe PDFThumbnail
Visualizar/Abrir
Mostrar registro simples do item Visualizar estatísticas

FacebookTwitterDeliciousLinkedInGoogle BookmarksMySpace