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@InProceedings{AraújoOgCuLeLoStSa:2015:CoAtIm,
               author = "Ara{\'u}jo, Carlos Alberto Sampaio and Ogashawara, Igor and 
                         Curtarelli, Marcelo Pedroso and Le{\~a}o, Joaquim Ant{\^o}nio 
                         Dion{\'{\i}}sio and Lorenzzetti, Jo{\~a}o Ant{\^o}nio and 
                         Stech, Jos{\'e} Luiz and Sampaio, Fernanda Garcia",
          affiliation = "{} and {} and {Instituto Nacional de Pesquisas Espaciais (INPE)} 
                         and {} and {Instituto Nacional de Pesquisas Espaciais (INPE)} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Corre{\c{c}}{\~o}es atmosf{\'e}ricas em imagem hiperespectral 
                         (HICO) para fins de monitoramento da qualidade da {\'a}gua",
            booktitle = "Anais...",
                 year = "2015",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "2952--2959",
         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 = "The remote sensing reflectance of water (Rrs) is a well-known 
                         optical property used to retrieve water quality parameters and its 
                         accurate estimation is fundamental for the application of 
                         algorithms developed for this purpose. The Hyperspectral Imager 
                         for the Coastal Ocean (HICO), the first spaceborne hyperspectral 
                         sensor specifically designed for the coastal ocean and inland 
                         waters, generates images over the 400-900 nm range, with a ground 
                         sample distance of ~90m and a high signal-to-noise ratio. Despite 
                         this characteristics, atmospheric correction remains an issue for 
                         convert top-of-atmosphere radiances (Ltoa) to Rrs . In this work 
                         we applied three different methodologies of atmospheric correction 
                         of a HICO image from Furnas reservoir, located on Minas Gerais 
                         state, in order to compare the results with in situ retrieved from 
                         radiometric measurements. The methods were a) ENVI FLAASH based on 
                         radiative transfer code (RTC) MODTRAN 4; b) Tafkaa implementation 
                         of RTC 6S and; c) a dark object subtraction (DOS). The spectra 
                         comparison and statistical parameters allowed a discussion in 
                         terms of possibilities and limitations of each method. DOS 
                         returned the best results, with a mean coefficient of 
                         determination of 0,90 and a mean root mean square error of 0,00078 
                         sr^-1.",
  conference-location = "Jo{\~a}o Pessoa",
      conference-year = "25-29 abr. 2015",
                 isbn = "978-85-17-0076-8",
                label = "590",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3JM4AHL",
                  url = "http://urlib.net/rep/8JMKD3MGP6W34M/3JM4AHL",
           targetfile = "p0590.pdf",
                 type = "Sensoriamento remoto de {\'a}guas interiores",
        urlaccessdate = "04 dez. 2020"
}


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