@Article{TomásFonAlmLeoPer:2016:UrPoEs,
               author = "Tom{\'a}s, Livia and Fonseca, Leila Maria Garcia and Almeida, 
                         Cl{\'a}udia Maria de and Leonardi, Fernando and Pereira, 
                         Madalena",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and Geopixel Geotechnologies 
                         Consulting and Service Ltd, S{\~a}o Jos{\'e} dos Campos, Brazil 
                         and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Urban population estimation based on residential buildings volume 
                         using IKONOS-2 images and lidar data",
              journal = "International Journal of Remote Sensing",
                 year = "2016",
               volume = "37",
               number = "S1",
                pages = "1--28",
             keywords = "Buildings, Housing, Optical radar, Tall buildings, Accuracy 
                         assessment, Digital surface models, Federal governments, High rise 
                         residential building, Hypothesis tests, Methodological approach, 
                         Residential building, Urban population, Population statistics, 
                         accuracy assessment, elevation, IKONOS, lidar, model validation, 
                         population estimation, residential location, satellite data, 
                         satellite imagery, urban population.",
             abstract = "This paper presents a methodological approach to estimation of 
                         urban population using the volume of single houses and high-rise 
                         residential buildings obtained from an IKONOS-2 ortho-image and 
                         light detection and raging (lidar) data. The estimates are 
                         directly executed at the finest scale level (i.e. the housing 
                         unit) and are then aggregated at the census district level for 
                         further validation with the aid of official data supplied by the 
                         local and federal governments. Unlike prior works, this study 
                         executes a thorough assessment of horizontal and elevation 
                         accuracy for the IKONOS-2 and lidar data used in the experiment. 
                         The methodological stages are threefold: the construction of a 3D 
                         city model, the accuracy assessment of the ortho-image and digital 
                         surface models (DSMs), and the quantification of urban population. 
                         The validation was accomplished by means of linear regression and 
                         associated hypothesis tests, considering the estimated population 
                         and the reference data. The results showed that there was a 
                         systematic underestimation of population. On average, the 
                         conducted estimates assessed 31 fewer inhabitants per district and 
                         lie 1.35% below the expected values given by the reference data. 
                         In spite of the observed underestimation, the estimated population 
                         can be regarded as equivalent to the population provided by the 
                         reference data at a 1% level of significance.",
                  doi = "10.1080/01431161.2015.1121301",
                  url = "http://dx.doi.org/10.1080/01431161.2015.1121301",
                 issn = "0143-1161",
             language = "en",
           targetfile = "tomas_urban.pdf",
        urlaccessdate = "27 abr. 2024"
}