Investigating time series shoreline changes by integration of remote sensing and geographical information systems

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2005

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Fulat, İhsan Alper

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Spatial analyses of shoreline recession and accretion, and future shoreline position predictions in coastal countries have considerable importance due to engineering, planning, management and environmental concerns. In spite of this importance, there are only a few studies in Turkey. The aim of this thesis are to determine the shoreline rate-of-change of Büyük Menderes Delta, by geographical information systems for the last fifty-year period, in order to approximate future shoreline position of Büyük Menderes Delta shoreline, and to evaluate appropriate models while predicting the future shoreline position. To achieve the purpose of the study time series shoreline position data is extracted from three sets of topographic maps belonging to 1954-1957, 1977-1978 and 1993 aerial photographs and two sets of high resolution satellite imageries (January 2002 Ikonos, August 2004 QuickBird). Then أCoastalؤ script of TNTMips, which uses some statistical shoreline analyses methods, that are End Point Rate (EPR), Average of Rates (AOR), Linear Regression (LR) and Jackknifing (JK) is edited so that it can locate the future shoreline positions on the map. Suitable baselines are created and appropriate transect intervals are decided to analyze the shoreline. Finally, some additional analyses that are Backward Analysis and Oscillation Analysis are done to obtain most suitable future shoreline position with rate-of-changes. The results showed that, shorelines having different geomorphologic characteristics needed to be analyzed separately and the linear methods to model the future shoreline position differ from one geomorphologic region to another.

Subject Keywords

Coastal geomorphology.

URI

http://etd.lib.metu.edu.tr/upload/12606912/index.pdf
https://hdl.handle.net/11511/15697

Collections

Graduate School of Natural and Applied Sciences, Thesis

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Citation Formats

İ. A. Fulat, “Investigating time series shoreline changes by integration of remote sensing and geographical information systems,” M.S. - Master of Science, Middle East Technical University, 2005.