@Article{KönigKuxMend:2019:ShMaMo,
               author = "K{\"o}nig, T{\'e}hrrie Caroline Ferraz Pacheco and Kux, Hermann 
                         Johann Heinrich and Mendes, Rodolfo M.",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Centro Nacional de 
                         Monitoramento e Alertas de Desastres Naturais (CEMADEN)}",
                title = "Shalstab mathematical model and WorldView-2 satellite images to 
                         identification of landslide-susceptible areas",
              journal = "Natural Hazards",
                 year = "2019",
               volume = "97",
               number = "3",
                pages = "1127--1149",
                month = "July",
             keywords = "Landslide · Susceptibility · Shalstab · WorldView-2 · Data 
                         mining.",
             abstract = "Natural hazards, occurring all over the world, may become a 
                         disaster when humans and nature interact. In Brazil, landslides 
                         triggered by heavy rainfall are the most common phenomenon that 
                         afects the population. Due to the economic and social losses and 
                         deaths, the identifcation and monitoring of risk areas are 
                         extremely important. Therefore, this study aims to identify the 
                         landslide-susceptible areas in Vila Albertina and Britador 
                         neighborhood, located in Campos do Jord{\~a}o city in S{\~a}o 
                         Paulo state, Brazil. Using the Shalstab mathematical model, which 
                         analyzes the slope stability, and satellite images from 
                         WorldView-2 sensor with data mining techniques, it was identifed 
                         the most susceptible areas for this phenomenon and the main 
                         characteristics of human occupation that might induce landslides. 
                         To achieve this goal, three scenarios were simulated for each 
                         neighborhood, changing the values of the geotechnical parameters, 
                         used as input on Shalstab. The results of susceptibility areas 
                         were consistent with the reality observed in these neighborhoods 
                         and the landslide scars corroborate with the assumption that 
                         anthropic changes induce landslides. The satellite image allowed 
                         the identifcation of diferent types of human interaction and its 
                         changes in steep slope areas.",
                  doi = "10.1007/s11069-019-03691-4",
                  url = "http://dx.doi.org/10.1007/s11069-019-03691-4",
                 issn = "0921-030X",
             language = "en",
           targetfile = "konig_shalstab.pdf",
        urlaccessdate = "28 abr. 2024"
}