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@InProceedings{AmaralDóriAstaMont:2015:ObReTr,
               author = "Amaral, Silvana and D{\'o}ria, Vin{\'{\i}}cius Etchebeur 
                         Medeiros and Asta, Ana Paula Dal and Monteiro, Ant{\^o}nio Miguel 
                         Vieira",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {} and {} 
                         and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Luzes noturnas do sensor VIIRS para a identifica{\c{c}}{\~a}o de 
                         atividades humanas na Amaz{\^o}nia Brasileira: 
                         observa{\c{c}}{\~o}es de uma regi{\~a}o na Transamaz{\^o}nica 
                         (PA)",
            booktitle = "Anais...",
                 year = "2015",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "2285--2292",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 17. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "Remote sensing data based on night time lights have been widely 
                         used for urbanization studies. Stable lights mosaic images from 
                         the Operational Linescan System (OLS) sensor - Defense 
                         Meteorological Satellites Program (DMSP) have been related to 
                         impervious surface mapping, human population estimates, regional 
                         economic modeling, and electric power consumption studies. With 
                         better spectral and spatial resolution, Visible Infrared Imaging 
                         Radiometer Suite (VIIRS) sensor is an alternative to night time 
                         light images applications. As the Amazon region is over a dynamic 
                         process of occupation and urbanization, this paper describes a 
                         first validation of night time lights polygons from a VIIRS image, 
                         comparing to field work description and census population data. 
                         Along Transamaz{\^o}nica and PA-415 roads, 20 VIIRS polygons were 
                         verified. VIIRS data managed to detect sites with more than 450 
                         inhabitants, and presented a general linear correlation with urban 
                         population. However, there were VIIRS polygons without any 
                         resident population. Instead, they were associated to brick 
                         factory, sawmill, electricity substation, dam under construction, 
                         and also to some highly illuminated yards like soccer court and 
                         companies patio. These activities also promoted the blooming of 
                         the VIIRS polygons on the main cities. Even though VIIRS night 
                         time lights should not be used as direct predictor of urban 
                         population, it showed to be very useful to detect human presence 
                         and activities over the region. The fieldwork was essential to 
                         indicate the main factors that resulted in stable lights, 
                         providing basic information for a further statistic validation 
                         based on high resolution images.",
  conference-location = "Jo{\~a}o Pessoa",
      conference-year = "25-29 abr. 2015",
                 isbn = "978-85-17-0076-8",
                label = "468",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3JM49RF",
                  url = "http://urlib.net/rep/8JMKD3MGP6W34M/3JM49RF",
           targetfile = "p0468.pdf",
                 type = "Urbaniza{\c{c}}{\~a}o",
        urlaccessdate = "01 dez. 2020"
}


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