Evaluating and Predicting Changes Occuring on Coastal Borders of the Jeddah City Using Satellite Images
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The current study highlighted the usefulness of satellite images in monitoring and predicting changes occurring on the shorelines through a bi-dimensional data based and situational based strategy. Three coastal areas of the Jeddah city were selected as Salman Bay, Sharm Abhar and Jeddah Port. For the data-based dimension, data collected through satellite images were used in the analysis covering the period 1972–2016. Four regression models were used to study the variation in the coastal borders of the study area. Predictions for the next 9 years (up to 2025) were carried out using the four Regression models. The results of the findings revealed that shrinkage has been witnessed in all areas under study. Another fact came to the limelight is the proximity of the objective results with expectations of the experts thus providing credence to the appropriateness of the used statistical models. For the situational based dimension, the effect of various anthropogenic activities and geo-environmental natural processes in the study area were identified. Based on the study findings, a continuous monitoring of the coastal areas is suggested along with maintaining a concrete database. The proposed techniques can be extended to study the coastal shrinkage and extension in other regions as well.
KeywordsShoreline Shrinkage Prediction Anthropogenic Geo-environmental
This work was supported by the Deanship of Scientific Research (DSR), King Abdulaziz University, Jeddah, under Grant no. (D-146-150-1437). The authors, therefore, gratefully acknowledge the DSR technical and financial support.
- 2.Amal, Al-Sheikh: Management of environmental degradation of Jeddah coastal zone, Saudi Arabia, using remote sensing and geographic information systems. J. Am. Sci. 7, 665–673 (2011)Google Scholar
- 3.Al Saud, M.: Assessment of Flood Hazard of Jeddah Area 2009, Saudi Arabia. Journal of Water Resource and Protection 2, 839–847 (2010). Available on: https://doi.org/10.4236/jwarp.2010.29099
- 4.Moore, T., AI-Rehaili, H.: Geologic Map of the Makkah Quadrangle, sheet 21D, Kingdom of Saudi Arabia, Saudi Arabian Directorate General of Mineral Resources. Geoscience Map GM-107C, scale 1:250,000 (1989)Google Scholar
- 5.Alesheikh, A., Blais, J., Chapman, M., Karimi, H.: Rigorous geospatial data uncertainty models for GIS in spatial accuracy assessment: land information uncertainty in natural resources, Chapter 24. Ann Arbor Press, Ann Arbor (1999)Google Scholar