@InProceedings{JesusCoel:2017:InUsTe,
               author = "Jesus, Rafael Justino de and Coelho, Andr{\'e} Luiz Nascentes",
                title = "A influ{\^e}ncia do uso da terra na temperatura da 
                         superf{\'{\i}}cie terrestre em regi{\~o}es administrativas do 
                         munic{\'{\i}}pio de Cariacica (ES) em 2013",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "5171--5178",
         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 = "This research goal is to evaluate the behavior of the Land 
                         Temperature Surface identified in the administrative regions 3, 4, 
                         5 and 6 of the city of Cariacica-ES in 2013. This process is 
                         accomplished through the orbital remote sensing images, especially 
                         of the TIR sensor of the Landsat satellite-8. The results of the 
                         mapping of the Land Temperature Surface were correlated with the 
                         map of use and coverage of the Earth by the automatic classifier 
                         MAXVER showing close association between the warmer areas with 
                         Urban classes and Grassland/Soil Exposed. Already the class 
                         vegetation cover was the one that showed the lowest Land 
                         Temperature Surface around the cutout space, being the responsible 
                         for the areas of greater freshness front of context found. In this 
                         sense, this research shows how disseminator of geotechnologies and 
                         Remote Sensing in subsidy to urban climate studies.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59403",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSM4D8",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSM4D8",
           targetfile = "59403.pdf",
                 type = "Urbaniza{\c{c}}{\~a}o",
        urlaccessdate = "27 abr. 2024"
}