@InProceedings{CamargoSilv:2017:InTéSe,
               author = "Camargo, Leandro de Souza and Silva, Sonia Maria Lima",
                title = "Integra{\c{c}}{\~a}o de t{\'e}cnicas de Sensoriamento Remoto e 
                         AHP no mapeamento de {\'a}reas suscept{\'{\i}}veis a 
                         escorregamentos no munic{\'{\i}}pio de Angra dos Reis - RJ",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "8014--8021",
         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 = "The use and occupation of large urban centers in a disorderly 
                         manner have been accompanied by various disasters, causing damage 
                         in several scales with the loss of human lives and property. This 
                         study aims to identify areas with increased susceptibility to 
                         landslides from the analysis of several conditions that favor 
                         those events. The area selected for the development of this study 
                         was the municipality of Angra dos Reis, State of Rio de Janeiro, 
                         having as justification the feature of having been the scene of 
                         major natural disasters such as the one in 2010 in Morro da 
                         Carioca. This research identified the areas prone to landslides 
                         through the analysis of data from different sources, such as 
                         digital surface models (DSM), orbital satellite images and others, 
                         using a statistical method of analysis - Analytic Hierarchy 
                         Process (AHP). The methodology involved: (1) the determination of 
                         the main conditioning factors that trigger the slip events; (2) 
                         the preparation of maps representing such conditioning factors; 
                         (3) the analysis of conditions by using the Analytic Hierarchy 
                         Process (AHP); (4) assigning weights for each of such conditioning 
                         factors according to their importance; (5) developing a map of 
                         areas susceptible to landslides. The validation of the final map 
                         was made by comparing the regions classified in this paper with 
                         the events that occurred in the city. Most regions classified in 
                         the range between high and very high were targets of landslide 
                         events between the years 2002 and 2013, demonstrating that the 
                         proposed methodology can contribute in a relevant way to land 
                         management projects.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59382",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSMGQT",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSMGQT",
           targetfile = "59382.pdf",
                 type = "Risco ambiental",
        urlaccessdate = "27 abr. 2024"
}