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http://dx.doi.org/10.7780/kjrs.2019.35.5.1.6

Quantitative Estimation of Shoreline Changes Using Multi-sensor Datasets: A Case Study for Bangamoeri Beaches  

Yun, Kong-Hyun (Institute of Engineering Research, Yonsei University)
Song, Yeong Sun (Department of Aerial Geoinformatics, Inha Technical College)
Publication Information
Korean Journal of Remote Sensing / v.35, no.5_1, 2019 , pp. 693-703 More about this Journal
Abstract
Long-term coastal topographical data is critical for analyzing temporal and spatial changes in shorelines. Especially understanding the change trends is essential for future coastal management. For this research, in the data preparation, we obtained digital aerial images, terrestrial laser scanning data and UAV images in the year of 2009. 2018 and 2019 respectively. Also tidal observation data obtained by the Korea Hydrographic and Oceanographic Agency were used for Bangamoeri beach located in Ansan, Gyeonggi-do. In the process of it, we applied the photogrammetric technique to extract the coastline of 4.40 m from the stereo images of 2009 by stereoscopic viewing. In 2018, digital elevation model was generated by using the raw data obtained from the laser scanner and the corresponding shoreline was semi-automatically extracted. In 2019, a digital elevation model was generated from the drone images to extract the coastline. Finally the change rate of shorelines was calculated using Digital Shoreline Analysis System. Also qualitative analysis was presented.
Keywords
Shoreline changes; Laser Scanning Data; Drone image; Shorelines;
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