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

Author

Listed:
  • Ali Masria

    (Department of Environmental Engineering, Egypt-Japan University of Science and Technology (E-JUST), New Borg El-Arab, Alexandria 21934, Egypt)

  • Kazuo Nadaoka

    (Department of Mechanical and Environmental Informatics, Tokyo Institute of Technology, Ookayama 2-12-1-W8-13, Meguro-Ku, Tokyo 152-8552, Japan
    These authors contributed equally to this work.)

  • Abdelazim Negm

    (Department of Environmental Engineering, Egypt-Japan University of Science and Technology (E-JUST), New Borg El-Arab, Alexandria 21934, Egypt
    These authors contributed equally to this work.)

  • Moheb Iskander

    (Coastal Research Institute, Alexandria 21514, Egypt
    These authors contributed equally to this work.)

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.

Suggested Citation

  • Ali Masria & Kazuo Nadaoka & Abdelazim Negm & Moheb Iskander, 2015. "Detection of Shoreline and Land Cover Changes around Rosetta Promontory, Egypt, Based on Remote Sensing Analysis," Land, MDPI, vol. 4(1), pages 1-15, March.
    • Handle: RePEc:gam:jlands:v:4:y:2015:i:1:p:216-230:d:46945
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    Citations

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    Cited by:

    1. Sanjiwana Arjasakusuma & Sandiaga Swahyu Kusuma & Siti Saringatin & Pramaditya Wicaksono & Bachtiar Wahyu Mutaqin & Raihan Rafif, 2021. "Shoreline Dynamics in East Java Province, Indonesia, from 2000 to 2019 Using Multi-Sensor Remote Sensing Data," Land, MDPI, vol. 10(2), pages 1-17, January.
    2. Martin Philipp Heger & Lukas Vashold & Anabella Palacios & Mala Alahmadi & Marjory-Anne Bromhead & Marcelo Acerbi & Martin Philipp Heger, 2022. "Blue Skies, Blue Seas [Ciels bleus, mers bleues]," World Bank Publications - Books, The World Bank Group, number 36912.
    3. Hesham M. El-Asmar & Maysa M. N. Taha, 2022. "Monitoring Coastal Changes and Assessing Protection Structures at the Damietta Promontory, Nile Delta, Egypt, to Secure Sustainability in the Context of Climate Changes," Sustainability, MDPI, vol. 14(22), pages 1-19, November.
    4. Yedid Guadalupe Zambrano-Medina & Wenseslao Plata-Rocha & Sergio Alberto Monjardin-Armenta & Cuauhtémoc Franco-Ochoa, 2023. "Assessment and Forecast of Shoreline Change Using Geo-Spatial Techniques in the Gulf of California," Land, MDPI, vol. 12(4), pages 1-22, March.

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