@InProceedings{CardozoLopeMont:2017:IdShLa,
               author = "Cardozo, Claudia Paola and Lopes, Eymar Silva Sampaio and 
                         Monteiro, Ant{\^o}nio Miguel Vieira",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)}",
                title = "Identifying shallow landslide susceptibility in Nova Friburgo, Rio 
                         de Janeiro",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "5745--5751",
         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 = "Landslides cause enormous economic damage and fatalities 
                         worldwide. The Mega disaster in the mountainous region of Rio de 
                         Janeiro took place on 11 and 12 January 2011 and reached seven 
                         municipalities. This landslides event is considered the worst 
                         disaster in Brazilian history. Landslide susceptibility zonation 
                         is one of the most important tasks in landslide risk assessment. 
                         The different approaches for landslide susceptibility modelling 
                         includes: 1) Heuristics (e.g., index-based approach and an 
                         analytical hierarchical process approach); 2) Statistical 
                         (statistical index, certainty factor, probability based methods, 
                         weight of evidence modelling, multiple linear regression and 
                         logistic regression analysis); 3) Process-based or deterministic 
                         modelling (slope stability factor). In this study, the 
                         process-based model SINMAP (Stability Index Mapping) was applied 
                         to determine landslide susceptibility in Nova Friburgo 
                         municipality (Rio de Janeiro State). The most common landslide 
                         processes in the study area are shallow triggered by rainfall. 
                         Entire database was incorporated in a GIS environment to compute 
                         the susceptibility index in a single-calibration mode. Results 
                         show that 13,94 % of area includes terrains with low 
                         susceptibility; 12,1 % includes moderate susceptibility and 73,96 
                         % a high susceptibility. Validation showed that 89% of shallow 
                         landslides mapped occurred within the three highest susceptibility 
                         classes. Final susceptibility map can be used as a predictive 
                         model for future location of mass movements. The deterministic 
                         method proved to be a reliable technique for landslide 
                         susceptibility analysis. However it is necessary to test the 
                         sensitivity to different input data sets and geotechnical 
                         parameter values to have a holistic approach.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59333",
             language = "en",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSMBKT",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSMBKT",
           targetfile = "59333.pdf",
                 type = "Geomorfologia",
        urlaccessdate = "27 abr. 2024"
}