Shoreline Detection using Image Processing for Coast of Pangandaran

Abstract

As the world’s largest archipelagic country, Indonesia has about 81,000 km of coastline. Coastline in Indonesia are not defenseless to natural processes but are also subjected to strong burdens from human processes. Thus, coastline changes are shown by changes in position, not only determined by a single factor but by number of factors and their interactions which are the combined results of natural and human processes.

The aim of this study is to investigate the shoreline changes at the coast of Pangandaran, Indonesia, which is a popular destination either for domestic or international tourists. The shoreline at the coast of Pangandaran is obtained by using satellite imagery from Google Earth Pro for 10 years. The shoreline change rate is estimated using a simple statistical method. The rate is used to predict the shoreline change using arithmetic sequence. The forecast of Pangandaran’s shoreline changes in the year 2030 are the largest abrasion of 3.2 m and the largest sedimentation of 0.7m. Efforts to prevent changes in Pangandaran’s coastline is planting soft and/or hard structures. Further research requires analysis of coastal protective structures such as mangrove and/or breakwaters.