@InProceedings{ReginattoMaKoHiGrCoCa:2012:SHApId,
               author = "Reginatto, Gisele and Maccarini, Marciano and Kobiyama, Masato and 
                         Higashi, Rafael and Grando, {\^A}ngela and Corseuil, Cl{\'a}udia 
                         and Caramez, Manolo",
                title = "SHALSTAB application to identify the susceptible areas of shallow 
                         landslides in Cunha river watershed, Rio dos Cedros City, SC, 
                         Brazil",
            booktitle = "Proceedings...",
                 year = "2012",
               editor = "Feitosa, Raul Queiroz and Costa, Gilson Alexandre Ostwald Pedro da 
                         and Almeida, Cl{\'a}udia Maria de and Fonseca, Leila Maria Garcia 
                         and Kux, Hermann Johann Heinrich",
                pages = "108--113",
         organization = "International Conference on Geographic Object-Based Image 
                         Analysis, 4. (GEOBIA).",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "Natural Disasters, Landslides, SHALSTAB, GIS, Modeling, Previse 
                         and Sensor ASTER.",
             abstract = "The increased occurrence of natural disasters and the impacts they 
                         have caused society, especially in developing countries draws the 
                         attention of researchers so that mitigation measures consistent 
                         with the economic realities of the countries affected are adopted. 
                         Brazil has been suffering from disasters often associated with 
                         hydrological conditions, among which are the mass movements. The 
                         prediction of these phenomena is not a simple task, however, 
                         computer modeling combined with remote sensing techniques can aid 
                         in the understanding. This work employs the computational model 
                         SHALSTAB to identify areas susceptible to mass movements in the 
                         Cunha River Watershed in the municipality of Rio dos Cedros, in 
                         the state of Santa Catarina, Brazil. These areas were 
                         characterized in relation to soil use, occupation and the slope of 
                         the land by means of satellite images and planialtimetric maps. 
                         The methodology consisted of; mapping the scars resulting from 
                         movements in the study area, the determination of physical 
                         parameters and soil resistance, the development of a digital 
                         terrain model and its derivatives (slope and contribution area) 
                         and in the preparation of the map use and land cover. This study 
                         obtained data consistent with the reality of the area, where there 
                         is an evident predominance of native forest in the basin and in 
                         unstable areas, especially present in slopes between 20 ° and 30 
                         °, and mapped the movements considered in this use as natural 
                         origin. Thus, this methodology can be applied in other regions and 
                         serve as an aid for public agencies to avoid these disasters.",
  conference-location = "Rio de Janeiro",
      conference-year = "May 7-9, 2012",
                 isbn = "978-85-17-00059-1",
             language = "en",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP8W/3BT7T8P",
                  url = "http://urlib.net/ibi/8JMKD3MGP8W/3BT7T8P",
           targetfile = "034.pdf",
                 type = "Geomorphological Hazards",
        urlaccessdate = "12 maio 2024"
}