@InProceedings{CostaAuguSeab:2017:AnEfÍn,
               author = "Costa, Evelyn de Castro Porto and Augusto, Rafael Card{\~a}o and 
                         Seabra, Vinicius da Silva",
                title = "An{\'a}lise da efici{\^e}ncia dos {\'{\i}}ndices Built-up e 
                         NDBI para classifica{\c{c}}{\~a}o de {\'a}reas urbanas em 
                         imagens Landsat 8 OLI",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "6632--6639",
         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 images in an automated way has difficulties 
                         that can affect in the reliability of the mapping results. To 
                         solve these limitations, there are software and methodologies that 
                         allow the application of different parameters to perform image 
                         classification, such as algorithmic compositions between bands, 
                         resulting in an image that detects vegetation, water or urban 
                         areas, facilitating the classification. The urban areas are seen 
                         as more complex areas to be classified, especially in large urban 
                         {\'a}reas or with diversity of urban classes. To give subsidies 
                         to the mappings of the occupied areas, it is fundamental to test 
                         the efficiency of applying these indices and to discuss the 
                         limitations encountered. In this study, we adopted as a 
                         methodology to the comparison between a classification using NDBI 
                         and Built-Up, and a validated map, in the same study area, 
                         obtaining as results the comparison between the most 
                         underestimated and overestimated classes by the indicators. Even 
                         with some limitations in some classes, the indices presented 
                         expressive efficiencies in their performances.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "60215",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSMDA4",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSMDA4",
           targetfile = "60215.pdf",
                 type = "Urbaniza{\c{c}}{\~a}o",
        urlaccessdate = "15 jun. 2024"
}