@InProceedings{SoaresCanMarTavSap:2015:CoAtIm,
               author = "Soares, Anderson Reis and Candeias, Ana L{\'u}cia Bezerra and 
                         Marques, Haroldo Antonio and Tavares Junior, Jo{\~a}o Rodrigues 
                         and Sapucci, Luiz Fernando",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {} and {} 
                         and {} and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Corre{\c{c}}{\~a}o atmosf{\'e}rica em imagens de sensoriamento 
                         remoto utilizando vapor d?{\'a}gua integrado obtido atrav{\'e}s 
                         de modelos de previs{\~a}o num{\'e}rica de tempo",
            booktitle = "Anais...",
                 year = "2015",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "2259--2266",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 17. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "Several atmospheric correction algorithms use some bands or 
                         atmospheric models, to mitigate the effects of water vapor over 
                         satellite images. The recommended values for water vapor are based 
                         on geographical position and the epoch of year. Since not all 
                         sensors have bands on the infrared region, the use of this model 
                         values are needed, however, this value assigned to the variable 
                         may generate an important difference when compared with value of 
                         water vapor at moment of the imaging. The aim of this study is 
                         analyze the atmospheric correction over images using integrated 
                         water vapor obtained by Numerical Weather Prediction model. For 
                         this, the FLAASH atmospheric correction algorithm, and is 
                         implemented on the software ENVI, was used for the atmospheric 
                         correction. Hyperspectral images were obtained through the USGS 
                         website. The data of water vapor were extracted from the binary 
                         files generated by the Numerical Weather Prediction. For this, was 
                         realized an adaptation of the software Interpol developed in 
                         CPTEC/INPE, by changing its source code. After it, the values 
                         obtained were used for the atmospheric correction of images using 
                         the software ENVI. Results of processing the images using the 
                         proposed method were compared with the results of the traditional 
                         method, which uses the ratio bands for estimate the integrated 
                         water vapor. The results showed high similarities between the 
                         signatures corrected using both techniques. However the leak of 
                         spectral signatures collected in field, its not possible to 
                         analyze which has the highest accuracy.",
  conference-location = "Jo{\~a}o Pessoa",
      conference-year = "25-29 abr. 2015",
                 isbn = "978-85-17-0076-8",
                label = "462",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3JM49QQ",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3JM49QQ",
           targetfile = "p0462.pdf",
                 type = "Sensoriamento remoto hiperespectral",
        urlaccessdate = "28 abr. 2024"
}