@InProceedings{DeppeLohmMartMene:2007:UtDaTe,
               author = "Deppe, Flavio and Lohmann, Marciel and Martini, Luisnei and 
                         Meneghette, Carlos",
          affiliation = "{Instituto Tecnol{\'o}gico SIMEPAR} and {Instituto 
                         Tecnol{\'o}gico SIMEPAR} and {Instituto Tecnol{\'o}gico SIMEPAR} 
                         and {Instituto Tecnol{\'o}gico SIMEPAR}",
                title = "Utiliza{\c{c}}{\~a}o de dados de temperatura de 
                         superf{\'{\i}}cie, precipita{\c{c}}{\~a}o e umidade para a 
                         identifica{\c{c}}{\~a}o e monitoramento de inc{\^e}ndios em 
                         tempo quase real",
            booktitle = "Anais...",
                 year = "2007",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares and Fonseca, Leila Maria Garcia",
                pages = "4447--4452",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 13. (SBSR).",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "Remote Sensing meteorological variables, surface temperature, 
                         forest fires, Sensoriamento Remoto, vari{\'a}veis 
                         meteorol{\'o}gicas, temperatura de superf{\'{\i}}cie, 
                         inc{\^e}ndios florestais.",
             abstract = "In this work, land surface temperature, precipitation and air 
                         humidity, are incorporated in near real time, in a system used for 
                         fire identification and monitoring. Precipitation data, as well as 
                         the numbers of days without rain and air humidity data, are used 
                         in a daily basis, to produce and map the Fire Risk Index. Land 
                         surface temperature, extracted from AVHRR/NOAA images, are used to 
                         produce the hot spots. In addition, also territorial and logistic 
                         data are used. Therefore, the system presents an innovation due to 
                         the use of near real time information and data, high temporal 
                         resolution, medium spatial resolution, and regional coverage. 
                         Results include the demonstration, in an operational basis, of 
                         fire monitoring in Ilha Grande National Park, Brazil, in near real 
                         time. The fire was detected since its beginning and the 236 hot 
                         spots were monitored and mapped with success in the subsequent 
                         days.",
  conference-location = "Florian{\'o}polis",
      conference-year = "21-26 abr. 2007",
                 isbn = "978-85-17-00031-7",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "dpi.inpe.br/sbsr@80/2006/11.14.16.55",
                  url = "http://urlib.net/ibi/dpi.inpe.br/sbsr@80/2006/11.14.16.55",
           targetfile = "4447-4452.pdf",
                 type = "Monitoramento de Queimadas",
        urlaccessdate = "06 maio 2024"
}