@InProceedings{PintoOlivPonzCast:2015:IdÁrSu,
               author = "Pinto, Cibele Teixeira and Oliveira, Pedro Valle de Carvalho e and 
                         Ponzoni, Fl{\'a}vio Jorge and Castro, Ruy Morgado de",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Identifica{\c{c}}{\~a}o de {\'a}reas suscept{\'{\i}}veis a 
                         processos erosivos na regi{\~a}o do Vale do Para{\'{\i}}ba",
            booktitle = "Anais...",
                 year = "2015",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "67--74",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 17. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "Soil erosion is a process by which soil particles are detached and 
                         removed from the land surface through the action of wind and 
                         water. This phenomenon has turned one of most important 
                         environment problems in Brazil. Therewith, studies of mapping 
                         potential erosion areas have helped decision makers to minimize 
                         erosive process. In this context, this work seeks to locate 
                         erosion susceptible areas in Vale do Para{\'{\i}}ba region, 
                         S{\~a}o Paulo. Some region characteristics exert strong influence 
                         on erosion. Here three factors were considered: slope, soil type 
                         and vegetation cover. These factors act together and combined. 
                         Thus, it was possible applying geoprocessing techniques by 
                         crossing information, to identify critical areas and which present 
                         greater risk to occur of erosion. The crossed maps were made using 
                         fuzzy gamma operator, making possible the generation of five 
                         scenarios by manipulating the gamma parameter. A study area 
                         vulnerability map resulted from the intersection of three maps 
                         (slope, NDVI and soil type). This vulnerability map was sliced and 
                         it was assigned five classes of erosion susceptible, classified as 
                         follows: very low, low, medium, high and very high. This 
                         classification indicates priority areas to make actions in order 
                         to raise awareness and supervision, ie. indicate regions that need 
                         to concentrate efforts for maintenance and/or recovery. The five 
                         scenarios ranged from most favorable to most unfavorable 
                         occurrence of erosion.",
  conference-location = "Jo{\~a}o Pessoa",
      conference-year = "25-29 abr. 2015",
                 isbn = "978-85-17-0076-8",
                label = "21",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3JM44G3",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3JM44G3",
           targetfile = "p0021.pdf",
                 type = "Geoprocessamento e aplica{\c{c}}{\~o}es",
        urlaccessdate = "28 abr. 2024"
}