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Land 2015, 4(1), 216-230; doi:10.3390/land4010216

Detection of Shoreline and Land Cover Changes around Rosetta Promontory, Egypt, Based on Remote Sensing Analysis

1
Department of Environmental Engineering, Egypt-Japan University of Science and Technology (E-JUST), New Borg El-Arab, Alexandria 21934, Egypt
2
Department of Mechanical and Environmental Informatics, Tokyo Institute of Technology, Ookayama 2-12-1-W8-13, Meguro-Ku, Tokyo 152-8552, Japan
3
Coastal Research Institute, Alexandria 21514, Egypt
These authors contributed equally to this work.
*
Author to whom correspondence should be addressed.
Academic Editors: Eric Vaz, Teresa de Noronha and Andrew Carleton
Received: 28 December 2014 / Revised: 5 February 2015 / Accepted: 27 February 2015 / Published: 17 March 2015
(This article belongs to the Special Issue A Land Use Perspective of the Safeguarding Coastal Areas)
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Abstract

Rosetta Promontory, Egypt has been suffering from a continuous erosion problem. The dramatic retreatment was observed during the last century. It is basically due to the construction of Aswan High Dam in 1964, which reduced the flow and sediment discharges. In this paper, four Landsat images (two Thematic Mapper and two Enhanced Thematic Mapper) covering the period from 1984 to 2014 were used. These Landsat images were radio-metrically and geometrically corrected, and then, multi-temporal post-classification analysis was performed to detect land cover changes, extracting shoreline positions to estimate shoreline change rates of the Nile delta coast around Rosetta Promontory. This method provides a viable means for examining long-term shoreline changes. Four categories, including seawater, developed (agriculture and urban), sabkhas (salt-flat), and undeveloped areas, were selected to evaluate their temporal changes by comparing the four selected images. Supervised classification technique was used with support vector machine algorithm to detect temporal changes. The overall accuracy assessment of this method ranged from 97% to 100%. In addition, the shoreline was extracted by applying two different techniques. The first method is based on a histogram threshold of Band 5, and the other uses the combination of histogram threshold of Band 5 and two band ratios (Band 2/Band 4 and Band 2/Band 5). For land cover change detection from 1984 to 2014, it was found that the developed area that increased by 9% although the land in the study area has been contracted by 1.6% due to coastal erosion. The shoreline retreat rate has decreased more than 70% from 1984 to 2014. Nevertheless, it still suffers from significant erosion with a maximum rate of 37 m/year. In comparison to ground survey and different remote sensing techniques, the established trend of shoreline change extracted using histogram threshold was found to be closely consistent with these studies rather than combining band ratio with histogram threshold. View Full-Text
Keywords: remote sensing; change detection; land cover; shoreline; Rosetta remote sensing; change detection; land cover; shoreline; Rosetta
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Masria, A.; Nadaoka, K.; Negm, A.; Iskander, M. Detection of Shoreline and Land Cover Changes around Rosetta Promontory, Egypt, Based on Remote Sensing Analysis. Land 2015, 4, 216-230.

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