@InProceedings{PereiraDutr:2017:ZoRiIn,
               author = "Pereira, Rafaella Silva and Dutra, Gleyce Campos",
                title = "Zoneamento de risco de inc{\^e}ndios florestais para o Parque 
                         Estadual Serra do Intendente-MG",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "3546--3552",
         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 = "Analysis of environmental factors allows to estimate the fire risk 
                         and the establishment of the danger degrees associated to these 
                         variables. The aim of this research was to propose a model of 
                         forest fire risk map for the Serra do Intendente State Park, Minas 
                         Gerais, Brazil, and their buffer zone. In Geographical Information 
                         System, the fire risk map was built up through the integrated 
                         analysis of vegetation cover, slope gradient, aspect, and human 
                         presence, represented by roads and tracks, using the weighed 
                         overlay method. The validation of the forest fire risk map was 
                         done by the comparison between the final forest fire risk map and 
                         forest fire occurrence reported in the Park. It was observed that 
                         35,73% of the study area presents high risk, 51.36% moderate risk, 
                         11.82% low risk and 1,09% null risk. Due to the major vegetation 
                         cover is representing by small fuel, most of park is dominate by 
                         moderate risk, however the risk become high with. human activities 
                         proximity. The map validation showed that over 58% of historical 
                         fire occurrences match with high fire risk. These results will 
                         help adopt preventive actions in critical areas, improving the 
                         fire control system efficiency and optimizing the available 
                         resources.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59565",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSLT66",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSLT66",
           targetfile = "59565.pdf",
                 type = "Modelagem espacial",
        urlaccessdate = "27 abr. 2024"
}