author = "Campos, J{\'a}rvis and Rigotti, Jos{\'e} Irineu Rangel and 
                         Baptista, Emerson Augusto and Monteiro, Ant{\^o}nio Miguel Vieira 
                         and Reis, Ilka Afonso",
          affiliation = "{Universidade Federal do Rio Grande do Norte (UFRN)} and 
                         {Universidade Federal de Minas Gerais (UFMG)} and {Asian 
                         Demographic Research Institute (ADRI)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {Universidade Federal de Minas 
                         Gerais (UFMG)}",
                title = "Population estimates from orbital data of medium spatial 
                         resolution: applications for a brazilian municipality",
              journal = "Sustainability",
                 year = "2020",
               volume = "12",
               number = "9",
                pages = "3565--3565",
             keywords = "remote sensing, dasymetric mapping, population estimates, small 
                         areas, Brazil, sustainable development.",
             abstract = "In recent decades, there has been an increase in the search for 
                         more detailed information on population dynamics, given the 
                         growing demand for more sustainable economic, social, and 
                         environmental planning. The dissemination of Geographic 
                         Information Systems (GIS) has contributed to the development of 
                         methodologies for the field of population estimates for small 
                         areas. To support more sustainable policies, this study aims to 
                         evaluate the capacity and contribution of the orbital images 
                         (Landsat ETM+) for the production of post-census population 
                         estimates for the municipality of Contagem, Minas Gerais, Brazil. 
                         Firstly, models were built using the average of the reflectance of 
                         the spectral bands of the Landsat 7 ETM+ for each special 
                         intra-municipal unit, called the census sector, as explanatory 
                         variables for the population density. Secondly, this study 
                         constructed models that use the reflectance and the distributed 
                         population at the level of the pixels of the images. All models 
                         were tested through internal validation procedures, external 
                         validation, and comparative analyses with post-census estimates. 
                         Internal validation presented excellent results (below 7%), while 
                         in external validation, the method at the level of the pixels 
                         presented consistent results, below 1% relative error. These 
                         results provide useful clues and can help policymakers in the 
                         development of more sustainable and effective public policies, 
                         insofar as population estimates are extremely important for the 
                         planning of any society.",
                  doi = "10.3390/su12093565",
                  url = "http://dx.doi.org/10.3390/su12093565",
                 issn = "2071-1050",
                label = "lattes: 0654596992211296 4 CamposRigBapMonRei:2020:ApBrMu",
             language = "en",
           targetfile = "sustainability-12-03565-v3.pdf",
        urlaccessdate = "18 abr. 2021"