Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/17488
Registro completo de metadados
Campo DCValorIdioma
dc.contributor.authorLU, D.pt_BR
dc.contributor.authorMAUSEL, P.pt_BR
dc.contributor.authorBATISTELLA, M.pt_BR
dc.contributor.authorMORAN, E.pt_BR
dc.date.accessioned2014-10-16T08:18:45Z-
dc.date.available2014-10-16T08:18:45Z-
dc.date.created2006-05-12pt_BR
dc.date.issued2005pt_BR
dc.identifier.citationInternational Journal of Remote Sensing, v. 26, n. 1, jan. 2005, p. 101-114.pt_BR
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/17488pt_BR
dc.descriptionMany land-cover change detection techniques have been developed; however, different conclusions about the value or appropriateness of each exist. This difference of opinion is often influenced by the landscape complexity of study areas and data used for analysis. Which method is most suitable for land-cover change detection in Amazon tropical regions remains unclear. ln this paper, 10 binary change detection methods were implemented and compared with respect to their capability to detect land-cover change and no change conditions in moist tropical regions. They are image differencing (ID), modified image differencing (MID), a combination of image differencing and principal component analysis (IDPCA), principal component differencing (PCD), multitemporal PCA (MPCA), change vector analysis (CVA), vegetation index differencing (VID), image ratioing (IR), modified image ratioing (MIR), and a combination of image ratioing and PCA (lRPCA). Multi-temporal Thematic Mapper (TM) data were used to conduct land-cover binary change detection. Research results indicate that MID, PCD and ID using TM band 5 are significant1y better than other binary change detection methods and they are recommended specifically for implementation in the Amazon basin.pt_BR
dc.formatfolhas avulsaspt_BR
dc.language.isoengeng
dc.rightsopenAccesseng
dc.subjectMonitoramentopt_BR
dc.subjectRegião Amazônicapt_BR
dc.subjectAmazonaspt_BR
dc.titleLand-cover binary change detection methods for use in the moist tropical regiona of the Amazon: a comparative study.pt_BR
dc.typeArtigo de periódicopt_BR
dc.date.updated2014-10-16T08:18:45Zpt_BR
dc.subject.thesagroSatélitept_BR
dc.subject.thesagroVegetaçãopt_BR
dc.format.extent214 p.pt_BR
riaa.ainfo.id17488pt_BR
riaa.ainfo.lastupdate2014-10-15pt_BR
dc.identifier.doi10. 10S0I0143 li 60410001720748pt_BR
dc.contributor.institutionIndiana University-CIPEC (1, 3-4); Embrapa Monitoramento por Satélite (2).pt_BR
Aparece nas coleções:Artigo em periódico indexado (CNPM)

Arquivos associados a este item:
Arquivo Descrição TamanhoFormato 
1800.pdf6,81 MBAdobe PDFThumbnail
Visualizar/Abrir
Mostrar registro simples do item Visualizar estatísticas

FacebookTwitterDeliciousLinkedInGoogle BookmarksMySpace