Título:	Spectral angle mapping multitemporal approach in SPOT VEGETATION Time-Series to detect sugarcane areas in São Paulo State, Southeastern Brazil.
Autor:	LOEBMANN, D. G. dos S. W. VICENTE, L. E. GARCON, E. A. M. SILVA, G. B. S. da ANDRADE, R. G. TORRESAN, F. E.
Afiliación:	DANIEL 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.
Año:	2011
Referencia:	In: AGU FALL MEETING, 2011, San Francisco. Anais... San Francisco: AGU, 2011.
Descripción:	Abstract: 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.
Thesagro:	Sensoriamento Remoto
NAL Thesaurus:	Sugarcane Remote sensing
Tipo de Material:	Resumo em anais e proceedings
Acceso:	openAccess
Aparece en las colecciones:	Resumo em anais de congresso (CNPM)