@InProceedings{AzevedoCarvSouz:2015:AvDePr,
               author = "Azevedo, George Fernandes and Carvajal, Hernan Eduardo Martinez 
                         and Souza, Newton Moreira de",
                title = "Avalia{\c{c}}{\~a}o determin{\'{\i}}stica e 
                         probabil{\'{\i}}stica da susceptibilidade a ocorr{\^e}ncia de 
                         deslizamentos pela aplica{\c{c}}{\~a}o do modelo SHALSTAB",
            booktitle = "Anais...",
                 year = "2015",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "5686--5693",
         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 = "In situations related to events of landslides, the mapping of 
                         susceptibility and risk is required to support the emergency 
                         management and to identify new areas with high potential to be hit 
                         by serious damage from this type of phenomenon. This work focuses 
                         on identifying the sites with the highest rates of susceptibility 
                         to occurrence of landslides by using SHALSTAB model in a study 
                         area located in the northern portion of the Federal District, 
                         Brazil. The methodology developed here was based on the use of a 
                         tool to assess the susceptibility of the land to the triggering of 
                         shallow landslides, confronting, in this context, the traditional 
                         deterministic approach to a probabilistic alternative. The model 
                         called SHALSTAB (Shallow Landsliding Stability Model) was used in 
                         this research and it is based on the combination of theories of an 
                         infinite slope stability model together with a hydrological model 
                         of steady state recharge, implemented in its deterministic 
                         original form and associated the probabilistic method called PEM 
                         (point estimates method) with the aid of geographical information 
                         system SPRING and Matlab software. As a result, there was obtained 
                         the spatial setting indicative of stability of the slopes in the 
                         form of maps provided by the used approaches, allowing the 
                         understanding of important aspects of ground which determine this 
                         distribution. The main conclusion indicates that the methodology 
                         used provides a different perspective on traditional assessment 
                         promoted by SHALSTAB model by considering the statistical 
                         variability of the parameters involved.",
  conference-location = "Jo{\~a}o Pessoa",
      conference-year = "25-29 abr. 2015",
                 isbn = "978-85-17-0076-8",
                label = "1160",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3JM4EGE",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3JM4EGE",
           targetfile = "p1160.pdf",
                 type = "Geoprocessamento e aplica{\c{c}}{\~o}es",
        urlaccessdate = "14 maio 2024"
}