@InProceedings{RosembackRigoFeitMont:2017:SiHaLi,
               author = "Rosemback, Roberta Guerra and Rigotti, Jos{\'e} Irineu Rangel and 
                         Feitosa, Fl{\'a}via da Fonseca and Monteiro, Ant{\^o}nio Miguel 
                         Vieira",
          affiliation = "{} and {} and {} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)}",
                title = "Aplica{\c{c}}{\~a}o de geoprocessamento e sensoriamento remoto 
                         no refinamento de an{\'a}lises espa{\c{c}}odemogr{\'a}ficas: a 
                         situa{\c{c}}{\~a}o habitacional do Litoral Norte Paulista",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "1542--1549",
         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 objective of this paper is to present an innovate approach on 
                         the application of GIS and remote sensing in spatial demographic 
                         analysis to assess housing situation in the North Coast of Sao 
                         Paulo State. In addition, the most common variables used in social 
                         sciences and geosciences, as well as the contribution of 
                         integrating these data with spatial analysis techniques for 
                         territorial planning is discussed. The housing deficit and 
                         inadequacies derived from Census Data were spatialized by 
                         weighting areas (smaller than municipalities) and had their 
                         context evaluated through satellite images. Results showed that 
                         the smaller weighting areas located near the beach coast have 
                         higher house density and lowest proportion of housing deficit. On 
                         the other hand, larger weighting areas, located in the innermost 
                         part of the region, have greater proportions of housing deficit. 
                         This work showed that remote sensing and GIS techniques are 
                         valuable tools, providing more detailed and territorialized 
                         information on the house deficits and inadequacies, which can 
                         improve government actions towards housing policies.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59682",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PS4GSH",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PS4GSH",
           targetfile = "59682.pdf",
                 type = "Urbaniza{\c{c}}{\~a}o",
        urlaccessdate = "27 abr. 2024"
}