@InProceedings{BoenoNicoBizoVibr:2019:EfToCo,
               author = "Boeno, Marcus Moresco and Nicoletti, Adilson Luiz and Bizon, Artur 
                         Ricardo and Vibrans, Alexander Christina",
          affiliation = "Forestry Department, Regional University of Blumenau (FURB) and 
                         Forestry Department, Regional University of Blumenau (FURB) and 
                         Forestry Department, Regional University of Blumenau (FURB) and 
                         Forestry Department, Regional University of Blumenau (FURB)",
                title = "Effects of topographic correction on natural forest reflectance in 
                         a mountainous region of southern Brazil",
            booktitle = "Anais...",
                 year = "2019",
               editor = "Gherardi, Douglas Francisco Marcolino and Sanches, Ieda DelArco 
                         and Arag{\~a}o, Luiz Eduardo Oliveira e Cruz de",
                pages = "207--210",
         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 = "Topographic Corrections, R, Landsat.",
             abstract = "Rugged terrain may be a major source of distortions on signals 
                         recorded by imaging sensors, compromising a series of remote 
                         sensing applications. To compensate for these distortions, 
                         Topographic Corrections (TC) methods have been developed. Although 
                         some methods are discussed and recommended by the literature, 
                         their usage is hampered by the lack of implementation on 
                         geospatial and remote sensing software. Alternatives would be open 
                         source applications and programming languages. This paper provides 
                         an overview on TC methods readily available in the R package 
                         landsat. We evaluated the effects of seven algorithms on the 
                         reflectance of natural forest remnants recorded by the OLI sensor 
                         (Landsat 8). Among all evaluated methods the C-Correction 
                         presented the best performance, reducing terrain influence and 
                         spectral variability. Several methods failed to compensate for 
                         terrain influence on reflectance. The results highlight the 
                         potential of TC methods and instigate further investigation on 
                         this topic.",
  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/3U6LDQL",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3U6LDQL",
           targetfile = "97794.pdf",
                 type = "Processamento de imagens",
        urlaccessdate = "16 jun. 2024"
}