The Role of Remote Sensing and GIS for Locating Suitable Mangrove Plantation Sites along the Southern Saudi Arabian Red Sea Coast

Ibrahim H. Elsebaie, Ayman S. H. Aguib, Dafer Al Garni

Civil Engineering Department, College of Engineering, King Saud University, Riyadh, KSA.
Civil Engineering Department, King Saud University-Al Riyadh, College of Engineering.

DOI: 10.4236/ijg.2013.42044                

Abstract

This paper investigated a methodology for locating suitable sites for establishing mangrove plantations along the south Saudi Arabian Red Sea coast based on Geological characteristics, geomorphology and discharge of drainage effluents as primary sitting criteria. Remote sensing Satellite imagery and digital elevation models were interpreted to determine most of the parameters, the rest were measured in field. In the study, it was found that some healthy mangrove stands now exist along the Red Sea coast near the city of Jizan although many stands have been destroyed in recent years due to rapid development, infilling and over-grazing and use of the mangroves as fuel. Remote sensing satellite imagery was used to map exiting Mangrove stands of different densities along the study area. The study determined that mangrove stands are primarily concentrated in the southern part of the study area and that they are sparsely found northward. Interpretation of A Landsat Thematic Mapper panchromatic band image and DEM showing that red sea coast along the study area are mainly covered by fans of ten drainage basins where the Flood potentiality of these basins was determined. The study was able to determine that three areas, which have a moderate to low flash flood potential, have the necessary environmental elements necessary to support mangroves. One, in particular, would be the best site to establish a mangrove plantation project.

Keywords

Mangroves; Remote Sensing; Geographic Information Systems; Digital Elevation Model

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1]	L. El-Juhany, “Present Status and Degradation Trends of Mangrove Forests on the Southern Red Sea Coast of Saudi Arabia,” American-Eurasian Journal of Agricultural and Environmental Science, Vol. 6, No. 3, 2009, pp. 328-340.
[2]	M. Khan, A. Kumar and A. Muqtadir, “Distribution of Mangroves along the Red Sea Coast of the Arabian Peninsula: Part 2. The Southern Coast of Western Saudi Arabia,” Journal Earth Science India, Vol. 3, 2010, pp. 154-162.
[3]	H. El Monsef and S. Smith, “Site Selection for Mangrove Plantations along the Egyptian Red Sea Coast,” World Applied Sciences Journal, Vol. 3, No. 7, 2008, pp. 740-747.
[4]	S. M. Saifullah, “Mangrove Ecosystem of Saudi Arabian Red Sea Coast—An Overview,” Journal of King Abdulaziz University, Marine Science, Special Issue on Red Sea Marine Environment, Vol. 7, 1996, pp. 263-270.
[5]	R. Lewis, “Ecological Engineering for Successful Management and Restoration of Mangrove Forest,” Ecological Engineering, Vol. 24, No. 4, 2004, pp. 403-418.
[6]	L. Gnanappazham, “Mangroves of Godavari—Anaylsis through Remote Sensing Approach,” Wetland Ecology and Management Journal, Vol. 8, No. 2, 2006, pp. 89-94.
[7]	R. Krishnamoorthy, “Remote Sensing for the Assessment and Management of Mangroves: Indian Experience,” Application of Remote Sensing and GIS for sustainable Development at National Remote Sensing Agency, Hyderabad, 1997.
[8]	T., Kannan, T. Ajith Kumar and A. Duraisamy, “Remote Sensing for Mangrove Forest Management,” CAS in Marine Biology, Annamalai University, Tamil Nadu, 2008.
[9]	Y. Wang and A. Ngusaru, “Remote Sensing of Mangrove Change along the Tanzania Coast,” Marine Geodesy, Vol. 26, No. 1-2, 2003, pp. 1-14. doi:10.1080/01490410306708
[10]	S. Ongsomwang, A. Rangsipanich, S. Punkul and J. Sue-kuni, “Evaluating Mangrove Plantation Sites Using Remote Sensing and GIS in Surat Thani Province,” GIS/RS Based Assessment of Mangrove Resources—Final Report, Bangkok, 2007, 47 p.
[11]	M. Schwartz, “Mangroves: Remote Sensing,” Encyclopedia of Coastal Science, Vol. 2, Springer Publishers, Berlin, 2005, pp. 614-621.
[12]	T. Truong, H. Pham, T. Thoab and L. Nguyen “Using Multi-Temproal Remote Sensing Data to Manage the Mangrove for Coastal Environmental Protection,” The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. 37, Beijing, 2008, pp. 709-711.
[13]	E. Green, C. Clark, P. Mumby and A. Ellis, “Remote Sensing Techniques for Mangrove Mapping,” International Journal of Remote Sensing, Vol. 19, No. 5, 1998, pp. 935-956. doi:10.1080/014311698215801
[14]	T. Coleman, A. Mana and Y. Twumansi, “Application of Landsat to Study of Mangrove Ecology along the Coast of Ghana,” Journal of the ISPRS, Vol. 49, 2008, pp. 362-379.
[15]	N. Azlan and R. Othman, “Monitoring of Mangrove Areas Using Remote Sensing toward Shoreline Protection,” Proceedings of GIS Osrava, Malaysia, 2009.
[16]	F. Howari, D. Jordan, N. Bouhauche and S. Wyllie-Echeverra, “Field and Remote Sensing Assessment of Mangrove Forests and Seagrass Beds in Northwest United Arab Emirates,” Journal of Coastal Research, Vol. 25, No. 1, 2009, pp. 48-56. doi:10.2112/07-0867.1
[17]	N. Bhat and M. Suleiman, “Classification of Soils Supporting Mangrove Plantation in Kuwait,” Archives of Agronomy and Soil Science, Vol. 50, No. 6, 2004, pp. 535-551. doi:10.1080/03650340410001729726
[18]	H. Teas, “Biology and Ecology of Mangroves,” W. Junk Publishers, The Hague, 1984, 188 p.
[19]	N. Schmitz, V. Anouk, H. Beekman, J. Gitundu and N. Koedam, “Influence of a Salinity Gradient on the Vessel Characters of the Mangrove Species Rhizophora Mucronata,” Annals of Botany, Vol. 98, No. 6, 2006, pp. 1321-1330. doi:10.1093/aob/mcl224
[20]	NASA, 2012. http://science.nasa.gov/earth-science/oceanography/physical-ocean/salinity/
[21]	D. Eash, “A Geographic Information System Procedure to Quantify Drainage-Basin Characteristics,” Journal of the American Water Resources Association, Vol. 30, No. 1, 2007, pp. 1-8.