@InProceedings{PoppielBapt:2017:AnInMé,
               author = "Poppiel, Raul Roberto and Baptista, Gustavo Macedo de Mello",
                title = "An{\'a}lise da influ{\^e}ncia de m{\'e}todos 
                         corre{\c{c}}{\~a}o atmosf{\'e}rica e de 
                         determina{\c{c}}{\~a}o de reflect{\^a}ncia TOA na 
                         aplica{\c{c}}{\~a}o do {\'{\i}}ndice RCGb em solos tropicais 
                         por meio dos dados SWIR do sensor AVIRIS",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "5612--5619",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 18. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "Available AVIRIS hyperspectral data are in radiance and to 
                         comparison with laboratory data, the atmospheric correction is 
                         necessary. The aim of this paper was to analyze the influence of 
                         atmospheric corrections methods and conversion to TOA reflectance 
                         in the determination of the spectral index RCGb by means SWIR data 
                         of AVIRIS sensor, in Sao Jo{\~a}o D''Alian{\c{c}}a, Goi{\'a}s 
                         State, Brazil. Was applied five different methods Green, FLAASH, 
                         QUAC, IARR and Flat Field and was applied the RCGb index to 
                         reflectance images and radiance. The RCGb index values of the six 
                         images we compared by Pearson correlation coefficient. Results 
                         showed high correlation between methods, with variations of 0,045. 
                         However, the best performance methods were QUAC and Green, with 
                         spatial distribution of RCGb index values closer to reality. The 
                         Flat Field method showed the worst performance, with lowest 
                         proportionality, underestimating levels of gibbsite in relation to 
                         kaolinite, being a method not recommended to determination of the 
                         RCGb index in AVIRIS images.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59331",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSMBDL",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSMBDL",
           targetfile = "59331.pdf",
                 type = "Sensoriamento remoto hiperespectral",
        urlaccessdate = "27 abr. 2024"
}