@InProceedings{BelémPerLucFraRot:2017:VeUrRe,
               author = "Bel{\'e}m, Liz Barreto Coelho and Peres, Leonardo de Faria and 
                         Lucena, Andrews Jos{\'e} de and Fran{\c{c}}a, Jos{\'e} Ricardo 
                         de Almeida and Rotunno Filho, Otto Corr{\^e}a",
                title = "Verifica{\c{c}}{\~a}o da Urbaniza{\c{c}}{\~a}o na Regi{\~a}o 
                         Metropolitana do Rio de Janeiro Utilizando Dados de Sensoriamento 
                         Remoto",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "3460--3466",
         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 work aims using remote sensing data, i.e., Landsat-5 and 
                         Landsat-7 images, to verify the urbanization processes in the 
                         metropolitan area of Rio de Janeiro (RMRJ). The analysis is 
                         performed based on our previous works developed for Rio de Janeiro 
                         Petrochemical Complex (COMPERJ) pilot area where albedo and urban 
                         modified index (UI*) have best described the urban changes during 
                         its construction. Accordingly, we have adopted these parameters 
                         and the land-surface temperature (LST) (used for comparison) to 
                         extend the initial analysis, restricted to COMPERJ area, to RMRJ. 
                         The images were grouped into 3 distinct decades, 80, 90 and 00, in 
                         order to represent the environmental conditions during these 
                         periods, allowing at the same time the temporal evolution 
                         observation of these parameters. The temporal evolution of LST, 
                         albedo and UI* was confirmed by the Studentss t statistical test 
                         conducted at the 5% level. Results show that albedo and UI* better 
                         identify the urban changes than LST. Albedo shows changes in a 
                         large region associated with low differences, which spatially does 
                         not seem to match reality. On the other hand, UI * does not show 
                         such a large amount of spurious values, but at the same time it 
                         shows the same well-defined nuclei indicated by the albedo. Thus, 
                         a combination of TSC and albedo, i.e., UI*, may be more efficient 
                         in characterizing urban areas.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59949",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSLT2A",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSLT2A",
           targetfile = "59949.pdf",
                 type = "Urbaniza{\c{c}}{\~a}o",
        urlaccessdate = "27 abr. 2024"
}