@InProceedings{KollingNetoSanSanMacMor:2017:AnPoIm,
               author = "Kolling Neto, Arthur and Santos, Jos{\'e} Yure Gomes dos and 
                         Santos, Pablo Santana and Machado, Luana Cangussu and Moro, 
                         Patr{\'{\i}}cia de Santana",
                title = "An{\'a}lise do potencial das imagens do Landsat-8 para a 
                         classifica{\c{c}}{\~a}o do uso e cobertura do solo da 
                         regi{\~a}o do Extremo Oeste da Bahia",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "3467--3474",
         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 = "This study undertook an analysis of the potential of images from 
                         the Landsat-8 for classifying the use and soil cover from the far 
                         west of Bahia, which has areas of cerrado. For this, 11 scenes of 
                         the Landsat-8 system were acquired. To determine the best colour 
                         composition, a statistical analysis from the Optimum algorithm 
                         Index Factor (OFIS). Supervised classification of Landsat image-8 
                         was carried out through the Support Vector Machine classifier 
                         (SVM). The best composition identified was the 7R 6G 5B, which 
                         allowed a successful use classification and coverage of the soil 
                         of the region. From the supervised, automatic classification by 
                         SVM, it was noted that the natural vegetation corresponds to the 
                         highest percentage of ground cover in the region, with 66.72%, and 
                         along with agriculture, which occupies 27.95% of the area, occupy 
                         almost 95% of all area west of Bahia. In addition to the expansion 
                         of the agricultural area, the burnt areas occupied 2.78% of the 
                         total area, manifesting an alarming result, since it represents a 
                         value that is greater than the sum of the areas occupied by 
                         classes of urban and water (2.55%). In this way the SVM classifier 
                         presented a good result in classification of using and land cover 
                         in the region by making necessary just to carry out field visits 
                         to perform the verification and validation of the statement of use 
                         and land cover produced in this study.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59541",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSLT2L",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSLT2L",
           targetfile = "59541.pdf",
                 type = "Mapeamento",
        urlaccessdate = "27 abr. 2024"
}