@InProceedings{LotteAlmeVale:2015:AqÍnSa,
               author = "Lotte, Rodolfo Georjute and Almeida, Cl{\'a}udia Maria de and 
                         Valeriano, M{\'a}rcio de Morisson",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)}",
                title = "Aquisi{\c{c}}{\~a}o do {\'{\I}}ndice de Satura{\c{c}}{\~a}o 
                         do Solo (TWI) para a avalia{\c{c}}{\~a}o de suscetibilidade a 
                         movimentos de massa na regi{\~a}o de S{\~a}o Sebasti{\~a}o-SP",
            booktitle = "Anais...",
                 year = "2015",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "7117--7124",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 17. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "The susceptibility to mass movements are natural events normally 
                         triggered by the influence of climate factors on certain regions. 
                         They are normally favored by endogenous factors such as slope, 
                         land use, land cover, geology, and other factors. The impacts of 
                         such events are devastating, especially in the case of landslides. 
                         The Geographic Information Systems (GIS) and spatial analysis 
                         techniques, made possible to monitor and mitigate its effect, 
                         establishing a criteria to outline areas of risk. In order to 
                         identify susceptible areas, some environmental variables are 
                         necessary, such as geomorphologic formations, geological, land 
                         use, land cover, and especially, the slope of the region. In this 
                         work, beyond the use of the previous variables, will be also 
                         explored the use of the Topographic Wetness Index (TWI) in order 
                         to identify susceptible areas of landslides in S{\~a}o 
                         Sebasti{\~a}o, SP. This index allows to quantify the 
                         environmental variable control of local topography as the 
                         hydrological processes, indicating the spatial soil moisture 
                         distribution and saturation of the surface. This variable was 
                         obtained with the Whitebox GAT 3.2.0 spatial analysis tool. In 
                         order to map these areas, spatial techniques of Analytic Hierarchy 
                         Process - AHP and Fuzzy-Gamma were used. The results were compared 
                         with susceptibility maps without using the TWI index, in order to 
                         analyze its impact. Both techniques showed satisfactory results, 
                         being Fuzzy-Gamma even more flexible.",
  conference-location = "Jo{\~a}o Pessoa",
      conference-year = "25-29 abr. 2015",
                 isbn = "978-85-17-0076-8",
                label = "1570",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3JM4JMC",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3JM4JMC",
           targetfile = "p1570.pdf",
                 type = "Geoprocessamento e aplica{\c{c}}{\~o}es",
        urlaccessdate = "27 abr. 2024"
}