@InProceedings{DzedzejGuRoBeCeArBe:2017:LiTrEn,
               author = "Dzedzej, Ma{\'{\i}}ra and Guerra, J{\'u}lio Bandeira and 
                         Rodrigues, Carina de Sousa and Berredo, Alessandro and Cecarelli, 
                         Izabel Cristina Franchitto and Arasato, Luciana Satiko and 
                         Bernardes, Francisco",
                title = "Mapeamento e classifica{\c{c}}{\~a}o de risco {\`a} queimadas - 
                         linhas de transmiss{\~a}o de energia el{\'e}trica",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "7715--7722",
         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 fire risk will be measured and mapped combining two temporal 
                         and two spatial scales, divided in three analysis periods, 
                         resulting eight fire risk models. Each one of these modeling will 
                         include meteorological data (averages, maximum and minimum of 
                         historical series). The modeling for different periods will allow 
                         an understanding of fire risk temporal behavior. The two spatial 
                         scales are different by the coverage area and risk mapping detail 
                         level (medium and high resolution scale). The first one refers to 
                         a 353 km stretch; the high resolution scale refers to a 30 km 
                         sub-range to the one there area acquired Remote Sensing data 
                         (airborne SAR, LiDAR and pairs of stereoscopic Pleiades). The 
                         ignition risk modeling will be performed through the logistic 
                         regression analysis application in order to estimate the fire 
                         occurrence probability (start), according to variables related to 
                         natural and anthropic causative agents and factors associated to 
                         fire behavior (Climate, topography and vegetation). The products 
                         of this modeling will be raster maps whose pixels will have 
                         ignition probability values. The logistic regression model does 
                         not assume data normality and it is proper to categorical 
                         variables, such as soil use and the fire occurrence, for example. 
                         From the explanatory variables coefficients it will be possible to 
                         evaluate their influence (weight) on the ignition probability.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "60121",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSMGA7",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSMGA7",
           targetfile = "60121.pdf",
                 type = "Monitoramento de queimadas",
        urlaccessdate = "27 abr. 2024"
}