• Title/Summary/Keyword: bangamoeri beach

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Observation on the Shoreline Changes Using Digital Aerial Imagery for Bangamoeri Beaches (디지털항공영상을 활용한 방아머리 해빈의 해안선 변화 관측)

  • Yun, Kong-Hyun;Song, Yeong Sun
    • Korean Journal of Remote Sensing
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    • v.33 no.6_1
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    • pp.971-980
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    • 2017
  • In this research, it was presented that the strategic approach for the long-term shoreline changes using historic digital aerial images can be effective for the analysis on the bangameori beach, west coast of South Korea. For this purpose, we collected several historic digital aerial images over 9 years in the research filed and conducted GPS-VRS surveying for GCP (Ground Control Point) acquisition. Also we collected existing two dimensional shoreline digital map which was published by KHOA (Korea Hydrographic and Oceanographic Agency) in the year 2013. With these multi data sets, we provided quantitative analysis on coastal erosion using the long-term shoreline changes in the beach. Also, As the results it was found that 2m sea level was retreated in the research period with maximum 0.31m length.

Quantitative Estimation of Shoreline Changes Using Multi-sensor Datasets: A Case Study for Bangamoeri Beaches (다중센서를 이용한 해안선의 정량적 변화 추정: 방아머리 해빈을 중심으로)

  • Yun, Kong-Hyun;Song, Yeong Sun
    • Korean Journal of Remote Sensing
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    • v.35 no.5_1
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    • pp.693-703
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    • 2019
  • 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.