@InProceedings{BispoAlmValMedCre:2009:AvSuMo,
               author = "Bispo, Polyanna da Concei{\c{c}}{\~a}o and Almeida, Cl{\'a}udia 
                         Maria de and Valeriano, M{\'a}rcio de Morisson and Medeiros, 
                         Jos{\'e} Sime{\~a}o de and Crepani, Edison",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais} and {Instituto 
                         Nacional de Pesquisas Espaciais} and {Instituto Nacional de 
                         Pesquisas Espaciais} and {Instituto Nacional de Pesquisas 
                         Espaciais} and {Instituto Nacional de Pesquisas Espaciais}",
                title = "Avalia{\c{c}}{\~a}o da suscetibilidade aos movimentos de massa 
                         na regi{\~a}o de S{\~a}o Sebasti{\~a}o-SP com o uso de 
                         t{\'e}cnicas de geoprocessamento",
            booktitle = "Anais...",
                 year = "2009",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares",
                pages = "3583--3590",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 14. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "methods of spatial inference, risk analysis, geographic 
                         information systems, t{\'e}cnicas de infer{\^e}ncia espacial, 
                         an{\'a}lise de risco, sistemas de informa{\c{c}}{\~o}es 
                         geogr{\'a}ficas.",
             abstract = "This work aims to evaluate spatial inference methods designed for 
                         modeling the susceptibility to mass movements in the city of 
                         S{\~a}o Sebasti{\~a}o, S{\~a}o Paulo. Moreover, this study also 
                         aims to determine the effect of the inclusion of geomorfometric 
                         variables, namely vertical and horizontal curvatures, in the 
                         model. We compared two methods of spatial inference: Boolean and 
                         Fuzzy Gama. These methods have been tested with five variables 
                         (geomorphology, geology, pedology, land use, and slope) and then 
                         with seven variables: the former five ones besides the vertical 
                         (kv) and horizontal curvature (kh). The Boolean model displays 
                         only two classes (favorable and not favorable) for the occuring 
                         phenomenon. Regarding the Fuzzy Gama method, the qualitative 
                         transformation of numeric values turned feasible handling the 
                         uncertainties, inherent in natural phenomena, such as the gradual 
                         transitions between classes of terrain and between classes of 
                         vegetation cover. With regard to results, the Boolean method did 
                         not allow a detailed categorization of susceptibility classes in 
                         both cases (with five and with seven variables). The Fuzzy Gama 
                         method presented greater flexibility in the identification of 
                         areas and in the generation of scenarios in both cases. This was 
                         rendered possible through the manipulation of the gama index 
                         values (0.60, 0.63, 0.65, 0.70). The addition of the vertical and 
                         horizontal curvatures into the model enabled its refinement, and 
                         hence, a better performance. The Fuzzy Gama method presented more 
                         satisfactory results.",
  conference-location = "Natal",
      conference-year = "25-30 abr. 2009",
                 isbn = "978-85-17-00044-7",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "dpi.inpe.br/sbsr@80/2008/11.16.07.45",
                  url = "http://urlib.net/ibi/dpi.inpe.br/sbsr@80/2008/11.16.07.45",
           targetfile = "3583-3590.pdf",
                 type = "Geoprocessamento e Aplica{\c{c}}{\~o}es",
        urlaccessdate = "03 maio 2024"
}