Monitoring shoreline is important for planning and development in the coastal region. This study utilizes remote sensing and GIS (Geographic Information System) techniques to observe the dynamics of the shoreline in the coastal region of Sayung, Indonesia, from 1988 up to 2017. Multi-temporal remote sensing images from Thematic Mapper (TM), Advance Spaceborne Thermal Emission and Reflection Radiometer (ASTER) and Operational Land Imager and Thermal Infrared Sensor (OLI/TIRS) were used in fuzzy classification followed by thresholding to generate shorelines. Post classification change detection was implemented to analyse changes in shoreline position in the study area. From these changes, erosion and accretion areas along the coast were inferred. The results show a general trend of continuous shoreline changes as a result of increasing coastal inundation. Between 1988 and 2017, 25% of the area has changed from non-water to water and 5% of the area has changed from non-water to shoreline margin. Comparison with the land use/cover (LUC) maps showed that these changes were related to the changes from other crops and paddy field into fishpond and from fishpond into water body.
|Number of pages||13|
|Journal||Egyptian Journal of Remote Sensing and Space Science|
|Publication status||Published - 1 Aug 2020|
- Change detection
- Multi-temporal images
- Shoreline change