@InProceedings{RudkeXaFuAlSoFrMa:2017:CoAcÍn,
               author = "Rudke, Anderson Paulo and Xavier, Ana Carolina Freitas and Fujita, 
                         Thais and Alves, Ronaldo Adriano and Souza, Rodrigo Augusto 
                         Ferreira de and Freitas, Edmilson Dias de and Martins, Jorge 
                         Alberto",
                title = "Compara{\c{c}}{\~a}o da acur{\'a}cia de {\'{\i}}ndices de 
                         vegeta{\c{c}}{\~a}o aplicados a classifica{\c{c}}{\~a}o de 
                         imagens do sat{\'e}lite Landsat 8",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "6914--6921",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 18. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "The classification of soil use and coverage, as well as analysis 
                         of its changes are among most common applications for remote 
                         sensing. One of the most basic steps of the classification is the 
                         distinction of the vegetal cover in the other terrestrial 
                         surfaces. Landsat images are relevant sources of data in this 
                         analysis; and although there are several vegetation classification 
                         indices using Landsat data described in the literature, 
                         applications are limited by low accuracy in various situations. In 
                         this sense, the purpose of this study was to compare the available 
                         vegetation indexes and to identify the one that best applies to 
                         the classification of Landsat 8 satellite images, investigating 
                         vegetation indexes by leaf water content and leaf pigments. The 
                         values of the Normalized Difference Infrared Index (NDII), Simple 
                         Ratio (SR) and Visible Atmospherically Resistant Index (VARI) were 
                         evaluated for a specific region located in the Cerrado Biome. The 
                         performance of the vegetation index was compared with the 
                         performance of the MaximumLikelihood Classifier (MAXVER). The 
                         accuracy of the MAXVER classification was significantly higher 
                         than that of the vegetation index (Kappa - 0.95). Among the 
                         vegetation indexes, the classification of images was best applied 
                         to SR, demonstrating good agreement with the spectral targets, 
                         being the confusion between exposed and urban classes, and between 
                         the sparse and agricultural ranks classes, important sources of 
                         classification error.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "60091",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSMDPN",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSMDPN",
           targetfile = "60091.pdf",
                 type = "Mapeamento",
        urlaccessdate = "27 abr. 2024"
}