Population Estimation in an Urban Area with Remote Sensing and Geographical Information Systems

Dimitris Kaimaris, Petros Patias, (doi: 10.23953/cloud.ijarsg.61)


Population estimation with questionnaires and demographic models is time consuming and usually accompanied by high costs. Geoinformation tools constitute key tools towards the solution of this problem, and, therefore, studies have started to emerge in the early 70s. In this paper a brief reference to the methods of population estimation, which are based totally or in combination with statistical analysis methods on products of Remote Sensing and their processing with GIS is cited. Afterwards, the capability of stereoscopic satellite images of high spatial resolution for the determining of the height of buildings and the performance of their plans, which are essential data for the estimation of the population of each building is highlighted. The study area is the municipality of Thessaloniki (Northern Greece, Region of Central Macedonia), and the estimation accuracy of the population reaches 97.06%.


Population Estimation; Remote Sensing; Ikonos-2; DSM; DTM; GIS

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*2016 Journal Impact Factor was established by dividing the number of articles published in 2014 and 2015 with the number of times they are cited in 2016 based on Google Scholar, Google Search and the Microsoft Academic Search. If ‘A’ is the total number of articles published in 2014 and 2015, and ‘B’ is the number of times these articles were cited in indexed publications during 2016 then, journal impact factor = A/B. To know More: (http://en.wikipedia.org/wiki/Impact_factor)