@InProceedings{Arenas-ToledoShim:2005:CoLiSp,
               author = "Arenas-Toledo, John Mauricio and Shimabukuro, Yosio Edemir",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)}",
                title = "Comparison of linear spectral mixture models and vegetation 
                         indices in two land cover Sample zones in Brazil by using MODIS 
                         and ETM+ data products",
            booktitle = "Anais...",
                 year = "2005",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Fonseca, Leila Maria 
                         Garcia",
                pages = "3469--3476",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 12. (SBSR)",
            publisher = "INPE",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "linear spectral mixture model, vegetation index, random points, 
                         comparison plots, linear correlation.",
             abstract = "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.",
  conference-location = "Goi{\^a}nia",
      conference-year = "16-21 abr. 2005",
                 isbn = "85-17-00018-8",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais",
                  ibi = "ltid.inpe.br/sbsr/2004/11.19.18.41",
                  url = "http://urlib.net/ibi/ltid.inpe.br/sbsr/2004/11.19.18.41",
           targetfile = "3469.pdf",
                 type = "M{\'e}todos de An{\'a}lise em Sensoriamento Remoto e GIS",
        urlaccessdate = "24 abr. 2024"
}