%0 Conference Proceedings
%4 ltid.inpe.br/sbsr/2004/11.19.18.41
%2 ltid.inpe.br/sbsr/2004/11.19.18.41.30
%@isbn 85-17-00018-8
%T Comparison of linear spectral mixture models and vegetation indices in two land cover Sample zones in Brazil by using MODIS and ETM+ data products
%D 2005
%A Arenas-Toledo, John Mauricio,
%A Shimabukuro, Yosio Edemir,
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@electronicmailaddress john@ltid.inpe.br
%@electronicmailaddress yosio@ltid.inpe.br
%E Epiphanio, José Carlos Neves,
%E Fonseca, Leila Maria Garcia,
%B Simpósio Brasileiro de Sensoriamento Remoto, 12 (SBSR)
%C Goiânia
%8 16-21 abr. 2005
%I INPE
%J São José dos Campos
%P 3469-3476
%S Anais
%1 Instituto Nacional de Pesquisas Espaciais
%K linear spectral mixture model, vegetation index, random points, comparison plots, linear correlation.
%X The objective of this work was to compare and to test the linear spectral mixture model and vegetation indices (NDVI & EVI) for discriminating the principal earth-surface features using moderate (MODIS) and high (ETM+) spatial resolution data. The fraction images (vegetation, soil and shade/water) and vegetation indices images were derived from both sensors for two different landscape areas in Brazil (Amazonian Forest and Southern mountainous system). Several comparative plots and correlation equations were made between MODIS and ETM+ data. The digital geoprocessing was performed using SPRING software developed by INPE. The results showed important information about a comparative and validating reference of a larger spatial scale of MODIS data to use in landcover / landuse approaches.
%9 Métodos de Análise em Sensoriamento Remoto e GIS
%@language pt
%3 3469.pdf