Change Detection of Libyan Costal Erosion Using Satellite Imagery
Ashour, A., El Mongy, A., Moussa, O., Al-Tohame, F. (2014). Change Detection of Libyan Costal Erosion Using Satellite Imagery. EKB Journal Management System, 10(10th International Conference on Civil and Architecture Engineering), 1-11. doi: 10.21608/iccae.2014.44126
Ashour S. A. Ashour; Abdel Mohsen El Mongy; Osama M. Moussa; Fawzy Al-Tohame. "Change Detection of Libyan Costal Erosion Using Satellite Imagery". EKB Journal Management System, 10, 10th International Conference on Civil and Architecture Engineering, 2014, 1-11. doi: 10.21608/iccae.2014.44126
Ashour, A., El Mongy, A., Moussa, O., Al-Tohame, F. (2014). 'Change Detection of Libyan Costal Erosion Using Satellite Imagery', EKB Journal Management System, 10(10th International Conference on Civil and Architecture Engineering), pp. 1-11. doi: 10.21608/iccae.2014.44126
Ashour, A., El Mongy, A., Moussa, O., Al-Tohame, F. Change Detection of Libyan Costal Erosion Using Satellite Imagery. EKB Journal Management System, 2014; 10(10th International Conference on Civil and Architecture Engineering): 1-11. doi: 10.21608/iccae.2014.44126

Change Detection of Libyan Costal Erosion Using Satellite Imagery

The International Conference on Civil and Architecture Engineering
Article 22, Volume 10, 10th International Conference on Civil and Architecture Engineering, May 2014, Page 1-11  XML PDF (349.16 K)
Document Type: Original Article
DOI: 10.21608/iccae.2014.44126
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Authors
Ashour S. A. Ashour1; Abdel Mohsen El Mongy2; Osama M. Moussa3; Fawzy Al-Tohame3
1Ph.D. student, Libyan armed forces.
2Prof., Ain Shams University.
3Ph.D., Egyptian armed forces.
Abstract
ABSTRACT This study, deals with the coastal analysis for the changes in the watersheds of Zletin, El-merage, Darna, Al-sahealasahele, and Bayad along the Libyan Coastline by using Satellite Imagery. Landsat TM/ETM+ images were used for this study which was covering the previous watersheds in the following years: 1986, 1987, 1990, 2005 and 2006. The image change detection in this study was based on supervised image classification. Rule-based classification technique is applied by using fuzzy functions, aiming to extract information of the erosion and accretion spatially. The images were processed using ERDASE-Imagine Version 9.2 and Arc-Map version 9.3 for the GIS operations. The results of the analyses show among other things that coastline erosion was dominant over accretion in Darna, El-merage and Bayad watersheds, whereas the coastal accretion was dominant over erosion in Zletin and Sirt watersheds. Also that the total area of observed changes along the coastlines was 243.65 Acres Of this, 174.65 Acres constitutes eroded area, and 69 Acres of the area showed coastal sediment accretion.
Keywords
Coastal erosion; Accretion; Watershed
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