@InProceedings{PintoLeigHeld:2019:SDVeSi,
               author = "Pinto, Cibele Teixeira and Leigh, Larry and Helder, Dennis",
          affiliation = "{South Dakota State University (SDSU)} and {South Dakota State 
                         University (SDSU)} and {South Dakota State University (SDSU)}",
                title = "SDSU vegetative site analysis from 2013 to 2017 for radiometric 
                         calibration of earth observations sensors",
            booktitle = "Anais...",
                 year = "2019",
               editor = "Gherardi, Douglas Francisco Marcolino and Sanches, Ieda DelArco 
                         and Arag{\~a}o, Luiz Eduardo Oliveira e Cruz de",
                pages = "979--982",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 19. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "Radiometric Calibration, Uncertainty, Reflectance-based approach, 
                         Surface Reflectance, Landsat.",
             abstract = "Since its founding in 1988, the South Dakota State University 
                         Image Processing Laboratory (SDSU IP LAB) has become widely 
                         recognized for its contributions in the field of satellite sensor 
                         radiometric calibration. One of the numerous calibration methods 
                         performed by the laboratory is known as reflectance-based 
                         approach. The reflectance-based approach is based on the 
                         simultaneous measurement, during the satellite sensor overpass, of 
                         a well-known target on Earth. The SDSU IP LAB has a unique 
                         capability to use a darker, vegetative target that it is much more 
                         closely resembles of targets often used in applications of remote 
                         sensing data. This paper presents the results of a spectral and 
                         spatial characterization of the SDSU vegetative site during the 
                         period from 2013 to 2017, with the goal of understanding the 
                         uncertainties in calibration associated with the site. As an 
                         example, the radiometric calibration of the Landsat-7 ETM+ sensor 
                         with respect to this site during the same period is also 
                         presented.",
  conference-location = "Santos",
      conference-year = "14-17 abril 2019",
                 isbn = "978-85-17-00097-3",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3UAMEC8",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3UAMEC8",
           targetfile = "97931.pdf",
                 type = "Sensoriamento remoto hiperespectral",
        urlaccessdate = "11 maio 2024"
}