@Article{CamarinhaCanaAlva:2014:ShLaPr,
               author = "Camarinha, Pedro Ivo Mioni and Canavesi, Vanessa and Alval{\'a}, 
                         Regina C{\'e}lia dos Santos",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)}",
                title = "Shallow landslide prediction and analysis with risk assessment 
                         using a spatial model in a coastal region in the state of S{\~a}o 
                         Paulo, Brazil",
              journal = "Natural Hazards and Earth System Sciences",
                 year = "2014",
               volume = "14",
               number = "9",
                pages = "2449--2468",
             keywords = "coastal zone, fuzzy mathematics, landslide, mapping, methodology, 
                         prediction, risk assessment, spatial analysis, urban area, Brazil, 
                         Sao Paulo [Brazil].",
             abstract = "This study presents a methodology for susceptibility mapping of 
                         shallow landslides just from data and software from the public 
                         domain. The study was conducted in a mountainous region located on 
                         the southeastern Brazilian coast, in the state of S{\~a}o Paulo. 
                         The proposal is that the methodology can be replicated in a 
                         practical and reliable way in several other municipalities that do 
                         not have such mappings and that often suffer from 
                         landslide-related disasters. The susceptibility mapping was 
                         generated based on the following maps: geological, soils, slope, 
                         horizontal and vertical curvatures, and land use. The thematic 
                         classes of these maps were weighted according to technical and 
                         scientific criteria related to the triggering of landslides, and 
                         were crossed by the fuzzy gamma technique. The mapping was 
                         compared with the risk sector survey made by the Brazilian 
                         Geological Survey (CPRM), which is the official database used by 
                         municipalities and civil defense in risk management. The results 
                         showed positive correlations, so that the critical risk sectors 
                         had higher proportions for the more susceptible classes. To 
                         compare the approach with other studies using landslide-scar maps, 
                         correlated indices were evaluated, which also showed satisfactory 
                         results, thus indicating that the methodology presented is 
                         appropriate for risk assessment in urban areas.",
                  doi = "10.5194/nhess-14-2449-2014",
                  url = "http://dx.doi.org/10.5194/nhess-14-2449-2014",
                 issn = "1561-8633",
                label = "scopus 2014-11 CamarinhaCanaAlva:2014:ShLaPr",
             language = "en",
           targetfile = "Camarinha_Shallow.pdf",
        urlaccessdate = "27 abr. 2024"
}