@InProceedings{GomesSilvViceVict:2015:AtCoGe,
               author = "Gomes, Daniel and Silva, Ramon Felipe Bicudo da and Vicente, Luiz 
                         Eduardo and Victoria, Daniel de Castro",
                title = "Atmospheric correction of GeoEye-1 images using MODIS-based 
                         parameters",
            booktitle = "Anais...",
                 year = "2015",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "7270--7278",
         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 = "Atmospheric correction is a very important task that allows 
                         comparisons between image-based biophysical estimates and existing 
                         spectral libraries. Atmospheric correction methods based on 
                         radiative transfer provide good results as they account for 
                         scattering and absorption components effects of atmosphere over 
                         electromagnetic radiation, but the lack of ground-daily 
                         information of atmospheric parameters for radiative transfer-based 
                         models limits these methods operation. Our objective was to 
                         perform atmospheric correction of GeoEye-1 images using 
                         MODIS-based parameters as input data for the Moderate-Resolution 
                         Atmospheric Radiative Transfer Model (MODTRAN) code. That was 
                         achieved using aerosol optical thickness, Ångstr{\"o}m exponent, 
                         and water column data extractd from MODIS Aqua data in order to 
                         obtain visibility, aerosol scale height, and atmospheric model to 
                         be used in MODTRAN. The results were analyzed from a set of pixels 
                         arranged in six land cover classes that were compared to the 
                         spectral libraries USGS and NASA/JPL, available online. Land cover 
                         classes of pasture, urban areas, forest, dark soil, medium soil, 
                         and light soil presents satisfactory combinations by the Spectral 
                         Angle Mapper method, used to compare spectra from the GeoEye-1 
                         images and spectral libraries. We conclude that the methodological 
                         approach presented is a promising standard of methods based on the 
                         retrieving of atmospheric information to perform radiometric 
                         corrections.",
  conference-location = "Jo{\~a}o Pessoa",
      conference-year = "25-29 abr. 2015",
                 isbn = "978-85-17-0076-8",
                label = "1623",
             language = "en",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3JM4JS8",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3JM4JS8",
           targetfile = "p1623.pdf",
                 type = "Processamento de imagens",
        urlaccessdate = "05 maio 2024"
}