Perumala Susmitha, Dr. S. Narayana Reddy, 2023. "Evaluating the advantages of Image based Shoreline Change Detection Analysis over Traditional GIS based Shoreline Change Detection Method (DSAS)" ESP International Journal of Advancements in Computational Technology (ESP-IJACT) Volume 1, Issue 1: 29-38.
The current study is an evaluation and comparison of the conventional GIS based shoreline change analysis and using the change detection techniques using image-processing method. The study area chosen is 253 km long coast along the districts of Kakinada, and Visakhapatnam, Andhra Pradesh, India. The coast is very dynamic environment, with the Godavari River in the southern-most part delivering many sediments, and many tropical cyclones affecting the area almost every year. The shoreline change performed through Digital Shoreline Change Analysis (DSAS) in the more common and conventional way and serves as the baseline for comparing the image-based shoreline change, from the change detection method. The study shows that the Image based method is reliable for a region where the coast does not have much of wave action to measure the change detection precisely and faster. However, for a more accurate measurement, and for regions where manual intervention and interpretation were required, the conventional GIS based analysis is more suitable.
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Change Detection, DSAS, Image Processing, Godavari Coast, Shoreline Change.