Assessing the Urban Encroachment Phenomenon in Egypt Using Satellite Imagery
International Journal of Scientific & Engineering Research • 2015
Publication Information
Authors
Rami Y. Khamis , Amr H. Ali , and Michael Hahn
Keywords
Urban encroachment phenomenon, urban expansion analysis, multi-resolution satellite imagery, image classification, multitemporal
change detection, Landsat, RapidEye, and GeoEye.
Journal
International Journal of Scientific & Engineering Research
Publisher
Not Available
Volume
6
Issue
11
Pages
1148 - 1159
publication.type
International
Paper Link
Open Link
Supplementary Materials
Not Available
Abstract
Abstract: The agricultural land in Egypt is consistently threatened to diminish by the urban encroachment phenomenon, which extensively
occurred after the Egyptian Revolution in 2011. The risk is considered particularly high since the fertile and productive land of Egypt is
remarkably scarce and is profoundly shrinking due to the urban infringements. The unstable conditions of the country exceptionally allowed
planned and unplanned urban expansion forms to appear more and more. In this research urban expansion is studied by utilizing satellite
images with distinctly different resolutions and employing diverse remote sensing classification procedures. The analysis is based on a multitemporal
change detection procedure which identifies the urban expansion in terms of location and areal extent that occurred, comparing the
situation before and after the revolution.
For a regional overview regarding the areal extent of the urban expansion the results of unsupervised classification of Landsat images gave
most helpful hints. Furthermore, the results of supervised classification of GeoEye satellite images achieved the most satisfactory results in
determining the locations of newly-constructed buildings.
occurred after the Egyptian Revolution in 2011. The risk is considered particularly high since the fertile and productive land of Egypt is
remarkably scarce and is profoundly shrinking due to the urban infringements. The unstable conditions of the country exceptionally allowed
planned and unplanned urban expansion forms to appear more and more. In this research urban expansion is studied by utilizing satellite
images with distinctly different resolutions and employing diverse remote sensing classification procedures. The analysis is based on a multitemporal
change detection procedure which identifies the urban expansion in terms of location and areal extent that occurred, comparing the
situation before and after the revolution.
For a regional overview regarding the areal extent of the urban expansion the results of unsupervised classification of Landsat images gave
most helpful hints. Furthermore, the results of supervised classification of GeoEye satellite images achieved the most satisfactory results in
determining the locations of newly-constructed buildings.
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