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dc.contributor.authorLOEBMANN, D. G. dos S. W.
dc.contributor.authorVICENTE, L. E.
dc.contributor.authorGARCON, E. A. M.
dc.contributor.authorSILVA, G. B. S. da
dc.contributor.authorANDRADE, R. G.
dc.contributor.authorTORRESAN, F. E.
dc.date.accessioned2026-04-29T19:48:24Z-
dc.date.available2026-04-29T19:48:24Z-
dc.date.created2012-03-19
dc.date.issued2011
dc.identifier.citationIn: AGU FALL MEETING, 2011, San Francisco. Anais... San Francisco: AGU, 2011.
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/919449-
dc.descriptionAbstract: The aim of this work was to detect sugarcane areas using NDVI time series. SPOT-Vegetation S-10 NDVI data extracted from red (0.61 - 0.69 μm) and NIR (0.78 - 0.89 μm) bands from January 2004 to December 2010 were stacked, and some class samples were selected to perform Spectral Angle Mapper (SAM) classification.
dc.language.isoeng
dc.rightsopenAccess
dc.titleSpectral angle mapping multitemporal approach in SPOT VEGETATION Time-Series to detect sugarcane areas in São Paulo State, Southeastern Brazil.
dc.typeResumo em anais e proceedings
dc.subject.thesagroSensoriamento Remoto
dc.subject.nalthesaurusSugarcane
dc.subject.nalthesaurusRemote sensing
riaa.ainfo.id919449
riaa.ainfo.lastupdate2026-04-29
dc.contributor.institutionDANIEL GOMES DOS SANTOS W LOEBMANN, CNPM; LUIZ EDUARDO VICENTE, CNPM; EDLENE APARECIDA MONTEIRO GARCON, CNPM; GUSTAVO BAYMA SIQUEIRA DA SILVA, CNPM; RICARDO GUIMARAES ANDRADE, CNPM; FABIO ENRIQUE TORRESAN, CNPM.
Aparece en las colecciones:Resumo em anais de congresso (CNPM)

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