@InProceedings{PaivaSalmBapt:2017:VeEqMé,
               author = "Paiva, Yuri Roberta Yamaguchi de and Salmona, Yuri Botelho and 
                         Baptista, Gustavo Macedo de Mello",
                title = "Verifica{\c{c}}{\~a}o da equival{\^e}ncia de m{\'e}todos para 
                         corre{\c{c}}{\~a}o atmosf{\'e}rica por meio da 
                         aplica{\c{c}}{\~a}o de {\'{\i}}ndices espectrais de 
                         vegeta{\c{c}}{\~a}o em dados do sensor AVIRIS",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "5341--5348",
         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 = "The presence of atmosphere with aerosols and gases alters the 
                         reflected signal from the surface, resulting in a decrease in the 
                         quality of the hyperspectral image. The assessment of this data 
                         requires that these atmospheric effects be removed from the 
                         imagery, to retrieve the inherent spectral reflectance of the 
                         surface materials, in a process referred to as atmospheric 
                         correction. This work examines the use of hyperspectral remote 
                         sensing techniques to compare the equivalence of three atmospheric 
                         correction methods (Green, FLAASH and QUAC) using two spectral 
                         indices that test different regions of the spectrum, around the 
                         visible (PSRI) and in the short-wave infrared (CAI), in order to 
                         evaluate the hyperspectral reflectance of the Cerrado vegetation 
                         canopy. The imagery of the study site was collected by a AVIRIS 
                         sensor in august 1996, and refers to a scene from the municipality 
                         of S{\~a}o Jo{\~a}o da Alian{\c{c}}a, State of Goi{\'a}s, 
                         Brazil. The obtained resultant images, corrected using both FLAASH 
                         and QUAC atmospheric correction algorithms, were compared with the 
                         image corrected using the Green method. FLAASH is found to be a 
                         better match for Cerrado vegetation samples analysis. The spectral 
                         absorption bands in the visible region of the spectrum, tested 
                         with the PSRI vegetation index, have found a better equivalence in 
                         between the three atmospheric correction methods.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "60166",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSM4MQ",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSM4MQ",
           targetfile = "60166.pdf",
                 type = "Radiometria e sensores",
        urlaccessdate = "27 abr. 2024"
}