@InProceedings{BragionMontAmar:2019:ExVINi,
               author = "Bragion, Gabriel da Rocha and Monteiro, Ant{\^o}nio Miguel Vieira 
                         and Amaral, Silvana",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)}",
                title = "Exploring VIIRS-NPP night-time light data in the Amazon 
                         rainforest",
            booktitle = "Anais...",
                 year = "2019",
               editor = "Gherardi, Douglas Francisco Marcolino and Sanches, Ieda DelArco 
                         and Arag{\~a}o, Luiz Eduardo Oliveira e Cruz de",
                pages = "2089--2092",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 19. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "Amazon, VIIRS, socioeconomic, nighttime lights.",
             abstract = "The goal of this work is to explore variables that are recurrently 
                         pointed out as factors influencing the night-time levels around 
                         the world, in the Amazonian context. In order to do that, we 
                         generalized variables related with physical, anthropogenic and 
                         socioeconomic contexts at the city level and analyzed their 
                         correlation with the night-time radiance data from the Day-Night 
                         Band (DNB) sensor, a detector from VIIRS-NPP. We found that the 
                         GDP per capita, road network density and the total number of 
                         households have the greatest correlation coefficients and 
                         Spearman's coefficients. Our approach focused on the residual 
                         values of the variables, and so we found that cities with the 
                         greatest residual values were also cities with a similar 
                         historical context of development, such as mining and populational 
                         nuclei. Our results suggest that, when associated with other 
                         indicators, night-time data is useful for identifying patterns of 
                         socioeconomic dynamics.",
  conference-location = "Santos",
      conference-year = "14-17 abril 2019",
                 isbn = "978-85-17-00097-3",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3UB2LQS",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3UB2LQS",
           targetfile = "97998.pdf",
                 type = "Urbaniza{\c{c}}{\~a}o",
        urlaccessdate = "28 abr. 2024"
}