Document Type |
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Thesis |
Document Title |
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Population Estimation Of Derea City Using Remote Sensing And Geographic Information Systems تقدير سكان مدينة الدرعية باستخدام الاستشعار عن بعد ونظم المعلومات الجغرافية |
Subject |
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Faculty of Arts - Department of Geography and Geographic Information Systems |
Document Language |
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Arabic |
Abstract |
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Population information is essential for planning and decision making, and a key factor in understanding and solving many urban and regional problems. But, in developing countries, accurate population information is not available when needed because population census may take a decade to be conducted with a high costs. However, remote sensing and geographical information systems (GIS) have become an alternative method of population estimate with reliable results and reasonable costs.This thesis used remotely sensed data and GIS to estimate the population of Derea city. Three different sets of satellite images from the French satellites SPOT 2 (10 meter/pixel), and SPOT 5 (2.5 meter/pixel) were obtained for the years: 1992, 2004, and 2010. These dates of the images were chosen in accordance with the previous population census data for comparison. Also, land use digital maps of the study area for 1996 and 2009 were acquired and combined in the processes and the analysis of data, and the extraction of residential land use for the three periods. Depending on a land use density method, population estimation of the study area was finally reached. The findings of the study support the ability of remote sensing and GIS to estimate population with high efficiency and acceptable estimation. The results showed an under-estimation of the population of Derea city in all the three cases ranged from -2.17% to -4%. The highest results of -4% underestimation was for the year 1992, fallowed by -3.71% for 2004, and the best estimate of the population of Derea city was for the year 2009 which was only -2.17% of the census record. It was concluded that many reasons may influence these results especially image spatial resolution. It appeared that the higher the quality of the satellite data, the more accurate is the population estimation. |
Supervisor |
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DR. |
Thesis Type |
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Master Thesis |
Publishing Year |
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1434 AH
2013 AD |
Added Date |
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Tuesday, December 31, 2013 |
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Researchers
علي معيض القرني | ALGARNI, ALI MOUED | Researcher | Master | |
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