Shoreline change analysis using satellite imagery for Bungko Lor Village, Cirebon Coastal Area, Indonesia
U Abdurrahman1, A P Khairunnisa2, I M Radjawane1,2*, I F Pratyaksa1, A A Nur1, M R Badriana1, C K Jeon1,3, H S Park1,3

1 Korea-Indonesia Marine Technology Cooperation Research Center (MTCRC), Cirebon Center, Indonesia
2 Faculty of Earth Science and Technology, Bandung Institute of Technology, Bandung, Indonesia
3 Korea Institute of Ocean Science and Technology, Busan, Korea

Abstract

Shoreline changes have recently become a concern for low-lying coastal areas and are reviewed from a regional to local spatial scale. Bungko Lor, a village in Kapetaka District, Cirebon Regency, Indonesia, has fairly high land use for fish- and salt-pond, making it vulnerable to shoreline changes. This study aims to show the application of shoreline change analysis at a local spatial scale and focuses on detecting shoreline changes in the period 2012 - 2021. The Digital Shoreline Analysis System (DSAS) was applied to the satellite imagery dataset consisting of Landsat 7, Landsat 8, and Sentinel 2 to estimate the shoreline change rate. High accuracy and resolution shoreline was described from drone image for validation and showed values of 0.863 and 4.997, for R2 and RMSE respectively. Changes in the shoreline during 2012 - 2016 indicate a sedimentation trend, while during 2017 - 2021 show an abrasion trend. Overall, in 10 years, the shoreline change trend in Bungko Lor Village is abrasion, with an average abrasion rate of -2.39 m/year and net shoreline movement towards land with a value of 59.99 m. Sediment transport variability was also estimated and resulted in 2.49 kg/s during the west monsoon and 2.33 kg/s during the east monsoon. Sediment transport is dominated by a direction towards the south and waves that also have the same dominant direction, from north and northeast. This study shows that shoreline change studios can also be applied on local scale and reveals the temporal and spatial dynamics within the area.

Keywords: Shoreline changes, satellite imagery, DSAS

Topic: Ocean Remote Sensing and Marine Technology