@InProceedings{BarbosaDubrAmor:2017:UtImSa,
               author = "Barbosa, Hiago Pereira and Dubreuil, Vincent and Amorim, Margarete 
                         Cristiane de Costa Trindade",
                title = "Utiliza{\c{c}}{\~a}o de imagens do sat{\'e}lite Landsat 8 para 
                         a an{\'a}lise da emissividade e da temperatura de 
                         superf{\'{\i}}cie da aglomera{\c{c}}{\~a}o urbana de Rennes 
                         (Fran{\c{c}}a)",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "4542--4549",
         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 paper aims to analyze the emissivity and surface temperature 
                         for the agglomeration of Rennes, France. For this, two formulas of 
                         emissivity (estimated from the Normalized Difference Vegetation 
                         Index, NDVI data) were used and their results were compared. The 
                         estimation of surface temperature was conducted from the 
                         emissivity data obtained in the previous stage. The form of the 
                         surface heat island (SHI) varied according to the emissivity used 
                         and the season. We conclude that the two formulations can be used 
                         for calculating the surface temperature and that the vegetation 
                         and its water content was shown to be an important variable in the 
                         analysis emissivity and surface temperature in the temperate 
                         zone.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "60099",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSM3AL",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSM3AL",
           targetfile = "60099.pdf",
                 type = "Meteorologia e climatologia",
        urlaccessdate = "27 abr. 2024"
}