Population Estimation in an Urban Area with Remote Sensing and Geographical Information Systems
| Dublin Core | PKP Metadata Items | Metadata for this Document | |
| 1. | Title | Title of document | Population Estimation in an Urban Area with Remote Sensing and Geographical Information Systems |
| 2. | Creator | Author's name, affiliation, country | Dimitris Kaimaris; School of Spatial Planning and Development (Eng.) Aristotle University of Thessaloniki, Greece |
| 2. | Creator | Author's name, affiliation, country | Petros Patias; School of Rural and Surveying Engineering, Aristotle University of Thessaloniki, Greece |
| 2. | Creator | Author's name, affiliation, country | (doi: 10.23953/cloud.ijarsg.61) |
| 3. | Subject | Discipline(s) | |
| 3. | Subject | Keyword(s) | Population Estimation; Remote Sensing; Ikonos-2; DSM; DTM; GIS |
| 4. | Description | Abstract |
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%. |
| 5. | Publisher | Organizing agency, location | |
| 6. | Contributor | Sponsor(s) | |
| 7. | Date | (YYYY-MM-DD) | 2016-06-27 |
| 8. | Type | Status & genre | Peer-reviewed Article |
| 8. | Type | Type | |
| 9. | Format | File format | |
| 10. | Identifier | Uniform Resource Identifier | http://technical.cloud-journals.com/index.php/IJARSG/article/view/Tech-626 |
| 11. | Source | Journal/conference title; vol., no. (year) | International Journal of Advanced Remote Sensing and GIS; Volume 5 (Year 2016) |
| 12. | Language | English=en | en |
| 14. | Coverage | Geo-spatial location, chronological period, research sample (gender, age, etc.) | |
| 15. | Rights | Copyright and permissions |
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