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1 May 2017 Shoreline Change Monitoring using High Resolution Digital Photogrammetric Technique
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Abstract

Ahn, Y.; Shin, B., and Kim, K.-H., 2017. Shoreline change monitoring using high resolution digital photogrammetric technique. In: Lee, J.L.; Griffiths, T.; Lotan, A.; Suh, K.-S., and Lee, J. (eds.), The 2nd International Water Safety Symposium. Journal of Coastal Research, Special Issue No. 79, pp. 204–208. Coconut Creek (Florida), ISSN 0749-0208.

Shoreline change has been measured with conventional surveying techniques such as Total station, GNSS, EDM etc. These measurements provide short/long term variation of nearshore evolution which enables us to estimate erosional and accretion sediment volume of the beach. This observation of ocean morphology currently has been utilized through the advance of optical imaging system and related digital image analysis. When deployed with proper viewing geometry, ground based digital imaging system can provide higher spatial/temporal resolution of shoreline change than satellite remote sensing data. In this study, we focus on generating time series of shore line change in Songjung beach in Busan, Korea where two DSLR imaging station have been successfully installed nearly at the end of each beach span. Via single photo photogrammetric techniques such as lens calibration, interior/exterior orientation, feature tracking, projection toward water surface, we aim to (1) calibrate out time lapse camera system, (2) verify with conventionally observed shorelines and finally (3) quantify the trend of ocean morphology in target sites. Understanding that shoreline monitoring system compliments existing conventional survey, its pros and cons should be treated as integrated method with conventional method.

©Coastal Education and Research Foundation, Inc. 2017
Yushin Ahn, Bumshick Shin, and Kyu-Han Kim "Shoreline Change Monitoring using High Resolution Digital Photogrammetric Technique," Journal of Coastal Research 79(sp1), 204-208, (1 May 2017). https://doi.org/10.2112/SI79-042.1
Received: 30 September 2016; Accepted: 31 October 2016; Published: 1 May 2017
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