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Journal of Korean Society of Coastal and Ocean Engineers > Volume 38(3); 2026 > Article
J Korean Soc Coast Ocean Eng 2026;38(3): 99-112. doi: https://doi.org/10.9765/KSCOE.2026.38.3.99
위성영상을 활용한 한반도 동해안의 표사계 기반 해안선 변동 특성 분석
허주영1, 박용성2, 전준철3
1서울대학교 건설환경도시공학부 석박통합과정
2서울대학교 건설환경도시공학부 부교수
3해양수산부 북극항로정책과 과장
Analysis of Shoreline Change Based on Littoral Cell along the East Coast of the Korean Peninsula Using Satellite Imagery
Juyeong Hur1, Yong Sung Park2, Jun-Cheol Jeon3
1Integrated M.S.-Ph.D. Program, Department of Civil, Urban and Environmental Engineering, Seoul National University
2Associate Professor, Department of Civil, Urban and Environmental Engineering, Seoul National University
3Director, Arctic Sea Route Policy Division, Ministry of Oceans and Fisheries
Corresponding author: Yong Sung Park ,Tel: +82-2-880-8387, Email: dryspark@snu.ac.kr
Received: April 29, 2026;  Revised: June 15, 2026.  Accepted: June 16, 2026.
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ABSTRACT
This study aims to quantitatively analyze shoreline change along the east coast of the Korean Peninsula, including the data-limited region, using satellite-based remote sensing techniques, and to examine the spatial structure of littoral cells. Sentinel-2 satellite imagery from 2015 to 2025 was used to extract shorelines, and outliers were removed using a density-based clustering algorithm (DBSCAN). Validation against field survey data showed a root mean square error (RMSE) of 16.21 m and a coefficient of determination (R2) of 0.815. Based on the constructed long-term shoreline dataset, beach width variations were calculated and tidal corrections were applied. Dimensionless indicators representing shoreline orientation, beach-width asymmetry, and embayment were defined, and geographic coordinates were additionally included as spatial constraints. Dimensionality reduction and hierarchical clustering were then used to classify spatially adjacent coastal segments with similar sediment-transport characteristics. The results indicate that the east coast of the Korean Peninsula can be classified into four major sediment transport systems, with some sections showing sediment transport extending across the inter-Korean boundary. Furthermore, spatial heterogeneity was observed at the local scale, where erosion and accretion coexist.
Keywords: satellite imagery, shoreline extraction, coastal erosion, littoral cell, unsupervised machine learning, East Coast of the Korean Peninsula
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