ABSTRACT The probability of storms and ice-drift events and their impact on coasts is expected to increase as result of climate change. Multi-years shoreline mapping is considered a valuable task for coastal monitoring and assessment. This paper presents shoreline maps illustrating the shoreline erosion accretion pattern in the coastal area between Marsa Alam – Hamata of Red Sea coastline by using different sources of remote sensing data. In the present study, Landsat MSS (1972), Landsat TM (1990), Landsat ETM+ (1998, 2000) and Terra Aster (2007) satellite images were used. In this study, two techniques were used to estimate rate of shoreline retreat. The first technique is corresponding to the formation of automated shoreline positions and the second one is for estimating rate of shoreline change based on data of remote sensing applying Digital Shoreline Analysis System (DSAS) software. In this study, the End Point Rate (EPR) was calculated by dividing the distance of shoreline movement by the time elapsed between the earliest and latest measurements at each transect. Alongshore rate changes shows that there are changes of erosion and accretion pattern due to coastal processes and climate changes.
Cite this paper
nullK. Dewidar, "Changes in the Shoreline Position Caused by Natural Processes for Coastline of Marsa Alam – Hamata, Red Sea, Egypt," International Journal of Geosciences, Vol. 2 No. 4, 2011, pp. 523-529. doi: 10.4236/ijg.2011.24055.
 P. J. Webster, G. J. Holland, A. Curry and H. R. Chang, “Changes in Tropical Cyclone Number, Duration and Intensity in a Warming Environment,” Science, Vol. 309, No. 5742, 2005, pp. 1844-1846.
 A. D. Ashton, J. P. Don-nelly and R. L. Evans, “A Discus- sion of the Potential Impacts of Climate Change on the Shorelines of the Northeastern USA,” Mitigation Adapta- tion Strategy Global Change, Vol. 13, 2008, pp. 719-743.
 R. J. Nichollos, P. P. Wong, V. Burkett and C. D. Woodroffe, “Climate Change and Coastal Vulnerability Assessment: Scenarios for Integrated Assessment,” Sustain Science, Vol. 3, No. 1, 2008, pp. 89-102.
 PERSGA, “PERSGA Report to IOC UNESCO on: Sea Level Observations in the Red Sea and Gulf of Aden,” Institut National des Sciences et Technologies de la Mer 2025 Salammb?, Tunisia, 2004.
 M. Siddall, D. A. Smeed, C. Hemleben, E. J. Rohling, I. Schmelzer and W. R. Peltier, “Understanding the Red Sea Response to Sea Level,” Earth and Planetary Science Letters, Vol. 225, No. 3-4, 2004, pp. 421-434.
 W. Moufadal, “Use of Satellite Imagery as Environmental Impact Assessment Tool: A Case Study from the New Egyptian Red Sea Coastal Zone,” Environmental Monitoring and Assessment, Vol. 107, No. 1-3, 2009, pp. 427-452. doi:10.1007/s10661-005-3576-2
 GEF, “Baseline Study, Red Sea Coastal and Marine Re- sources Management Project,” World Bank, Global En- vironmental Facility, Red Sea, 1997.
 UNESCO, “Environmental Evaluation of the Red Sea Coast between Wadi El Gemal and Halayeb,” English Report, p. 400.
 A. A. Alesheikh, A. Ghorbanali and A. Talebearer, “Generation the Coastline Change Map for Uremia Lagoon by TM and ETM+ Imagery,” Map Asia Conference, Beijing, 2004.
 S. S. Durduran, “Coastline Change Assessment on Water Reservoirs Located in the Konya Basin Area, Turky, Using Multitemporal Landsat Imagery,” Environmental Monitoring Assessment, Vol. 164, No. 1-4, 2010, pp. 453- 461. doi:10.1007/s10661-009-0906-9
 E. Sener, A. Davraz and S. Sener, “Investigation of Ak- sehir and Eber Lakes (SW Turky) Coastline Change with Multitemporal Satellite Images,” Water Resources Man- agement, Vol. 24, No. 4, 2010, pp. 727-745.
 J. Bosworth, T. Koshi-mizu and S. T. Acton, “Multi- Resolution Segmentation of Soil Moisture Imagery by Watershed Pyramids with Region Grow-ing Merging,” International Journal of Remote Sensing, Vol. 24, No. 4, 2003, pp. 741-760. doi:10.1080/01431160110114989
 K. Di, J. Wang, R. Ma and R. Li, “Automated Shoreline Extraction from High Resolu-tion IKONOS Satellite Im- agery,” Proceedings of the ASPRS 2003 Annual Conference, Anchorage, May 2003.
 G. M. Foody, A. M. Muslim and P. M. Atkinson, “Super- resolution Mapping of the Waterline from Remotely Sensed Data,” Inter-national Journal of Remote Sensing, Vol. 26, No. 24, 2005, pp. 5381-5392.
 J. Lira, “Segmentation and Morphology of Open Water Bodies from Multispectral Images,” International Journal of Remote Sensing, Vol. 27, No. 18, 2006, pp. 4015- 4038. doi:10.1080/01431160600702384
 Kh. Dewidar and O. E. Frihy, “Pre-and Post-Beach Re- sponse to Engineering Hard Structures Using Landsat Time-Series at the Northwestern Part of the Nile Delta, Egypt,” Journal of Coastal Conservation, Vol. 11, No. 2, 2008, pp. 133-142.
 Kh. Dewidar and O. E. Frihy, “Automated Techniques for Quantification of beach Change Rates Using Landsat Series along the Northeastern Nile Delta, Egypt,” Journal of Oceanography and Marine Science, Vol. 1, 2010, pp. 28-39.
 EGSMA, “Egyptian Geological Survey and Mining Au- thority,” Cairo, 1997.
 UK Hydrographic Office, “Simplified Harmonic Method for Windows Operating System,” 2001.
 Earth Resources Data Analysis System, “Leica Geosystems Geospatial Imaging,” LLC, 5051 Peachtree Corners Circle, Suite 100, Norcross, 2003.
 F. E. Vermote, D. Tanre, J. L. Deuze, M. Herman and M. J. Morcrette, “Second Simulation of the Satellite Signal in the Solar Spectrum, 6S: An Overview,” IEEE Transactions on Geosciences and Remote Sensing, Vol. 35, No. 3, 1997, pp. 675-686. doi:10.1109/36.581987
 T. M. Lillesand, R. W. Kiefer and J. W. Chipman, “Remote Sensing and Image Interpretation,” Wiley, Hoboken, 2008.
 E. R. Thieler, E. A. Himmelstoss, J. L. Zichichi and, T. L. Miller, “Digital Shoreline Analysis System (DSAS) Ver- sion 3.0: An ARCGIS Extension for Calculating Shoreline Change,” US Geological Survey Open-File Report 2005-1304, 2005.
 B. Eric, “Coastal Geomorphology an Introduction,” 2nd Edition, John Wiley & Sons Ltd, Chichester, 2008.
 D. T. Pugh, D. J. Dixon and P. L. Woodworth, “Marine Impacts of Potential Climate Change,” Journal of Marine Science, Vol. 12, 2001, pp. 3-11.