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@InProceedings{FerreiraMart:2017:AvRiIn,
               author = "Ferreira, J{\^a}nio Marcos Rodrigues and Martins, Marcos 
                         Henrique",
                title = "Avalia{\c{c}}{\~a}o do risco de inc{\^e}ndio florestal (RIF) 
                         atrav{\'e}s de modelagem de dados espaciais",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "328--335",
         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 = "Environmental management is intimately connected to geospatial 
                         analysis on account of the growing need to plan short and long 
                         term actions that depend on a number of cartographic information. 
                         However, the amount of information oftentimes hinders rapid 
                         decision-making, which is absolutely necessary to control certain 
                         environmental incidents such as forest fires. This study aimed to 
                         calculate forest fire risk within a certain area of the city of 
                         S{\~a}o Paulo with the aid of a flow chart developed in ArcGIS 
                         10.2 Model Builder. The results obtained show high accuracy and 
                         precision, indicating the potential of the new tool developed in 
                         this work. Therefore, it is important to reiterate here the 
                         necessity of making use of theories and methods in geo-processing 
                         with regard to environment management.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "60108",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PS43QE",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PS43QE",
           targetfile = "60108.pdf",
                 type = "Modelagem espacial",
        urlaccessdate = "31 mar. 2023"
}


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