@InProceedings{MirandaPereLuceFran:2017:CaBaEn,
               author = "Miranda, Vitor Fonseca Vieira Vasconcelos de and Peres, Leonardo 
                         de Faria and Lucena, Andrews Jos{\'e} de and Fran{\c{c}}a, 
                         Jos{\'e} Ricardo de Almeida",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Caracteriza{\c{c}}{\~a}o do balan{\c{c}}o de energia na 
                         Regi{\~a}o Metropolitana do Rio de Janeiro (RMRJ) atrav{\'e}s de 
                         dados de imagens LANDSAT",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "6686--6693",
         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 knowledge of energy balance is fundamental for understanding 
                         advances of urban areas. The objective of this work is to estimate 
                         and analyze surface energy balance components at the Metropolitan 
                         Area of Rio de Janeiro (MARJ) through remote sensing data, namely 
                         TM, ETM +, OLI and TIRS sensors on-board Landsat-5, 7 and 8 
                         satellites, respectively. Heat fluxes were obtained with the 
                         Surface Energy Balance Algorithm for Land (SEBAL) that uses as 
                         input remote sensing and meteorological information. The heat 
                         fluxes analysis were performed based on images in the decades of 
                         80, 90, 2000 and 2010. The meteorological data were obtained from 
                         the Brazilian National Institute of Meteorology (INMET) which 
                         contains weather stations distributed over MARJ. Among with the 
                         output data from SEBAL, a Land cover map was produced using the 
                         software Ecognition 8.9 to characterize the fluxes in three 
                         different surfaces: Urban, Soil, Vegetation and Water. SEBAL has 
                         produced consistent results showing lower latent heat flux values 
                         on the urban class and higher values on the vegetation class for 
                         all the decades. On the other hand, sensible and soil heat fluxes 
                         were always higher on urban areas as expected. Temporally, it is 
                         possible to observe in the land cover an evolution of urban areas 
                         over the four decades, advancing to the metropolitan north, east 
                         and west areas.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "60216",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSMDCJ",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSMDCJ",
           targetfile = "60216.pdf",
                 type = "Urbaniza{\c{c}}{\~a}o",
        urlaccessdate = "27 abr. 2024"
}