우리나라 연안침식 비디오 모니터링 사업에 대한 개선 방향 제언
Suggestions on the coastal erosion video monitoring projects in Korea
2
조회
0
다운로드
1
인용
0
참고문헌
키워드
초록
비디오 영상을 활용한 연안 침식 모니터링은 장기무인관측 시스템으로 비용과 효율성에서 타 관측에 비하여 우수하며 여러 나라에서 활용하고 있다. 우리나라에서도 여러 해안에서 연안침식 비디오를 모니터링을 수행하고 있으며 해안에 따라서는 10년 이상의 관측 자료를 축적하고 있다. 향후 사업의 계속에 따른 효율성을 높이기 위해서는 자료 생산의 표준화를 통하여 외국 영상 처리 기술의 접목을 용이하게 하고 생산된 영상이 해안 관광 및 관리에도 활용될 수 있도록 홍보와 교육을 병행하는 것이 필요하다. 특히 인공적인 영향으로 침식이 나타나는 해안은 물론 자연적인 요인에 의한 해안 지형 변화의 장기 관측을 통하여 전 지구 기후 변화에 따른 해수면 상승에 의한 변화와 함께 인공적인 원인에 의한 해안 지형변화도 효과적으로 분석할 수 있을 것이다.
Abstract
This study examines the status of the video monitoring project in Korea which has been operating since 2003, and suggests plans for future improvement. The current status of video monitoring system in other countries and image analysis techniques used in video monitoring are also reviewed. Though the coastal area in Korea is small compared to other countries, the nearshore video monitoring is very intensive in terms of site and camera numbers, but the monitoring data are mainly used only to calculate the change of beach area by erosion without other applications. In order to extend the application scopes, diversification of image collection and storage method is needed for appling to newly developed coastal image analysis techniques. In addition to this, if data standardization is made by using NetCDF, the data will be more easily reached by users in other countries as well as in Korea. Especially, in order to apply the video data to coastal management and beach tourism area, promotion and training for using video data are needed. Longterm video monitoring for shoreline change is very important not only at severly eroded beach by artificial projects but also at natural beach free from human approach, to check the natural response of the beach to the sea level rise caused by global climate warming. Although several new beach monitoring techniques such as drone or satellites are developed, ground based video monitoring techniques is still competitive in terms of cost and unmaned longterm monitoring. The newly developed techniques for measuring wave heights and nearshore depth will improve the efficiency of video monitoring system on the beach.
참고문헌 (44)
- 강태순, "실시간 비디오 모니터링 기법을 이용한 우리나라 연안침식의 현황", 한국방재학회지, 7(1), pp.47~56 (2007)
- 김태림, "비디오 모니터링을 이용한 연안 환경 관측기술에 관한 고찰", 한국해안･해양공학회지, 10(1), pp.45~53 (1998)
- 김태림, "원격 무인 자동 영상 관측 시스템을 활용한 해안선 변화 관측 및 분석", 대한원격탐사학회지, 19(2), pp.99~106 (2003), 대한원격탐사학회
- 김태림, "새만금 1호 방조제 외측 대항리 조간대 갯벌 지형 변화에 대한 영상 관측", 한국해안·해양공학회논문집, 21(6), pp.453~461 (2009), 한국해안,해양공학회
- 김태림, "태풍으로 인한 해안사구 침식 연구에 대한 카메라 관측 시스템의 유용성", 한국지형학회지, 21(4), pp.41~52 (2014), 한국지형학회[DOI]
- 김태림, "카메라 모니터링 자료를 활용한 남해안", 제주 해빈 침식 분석, 2016, pp.23(1), 129~140[DOI]
- 윤한삼, "비디오를 이용한 하구 사주 변화 모니터링 시스템(Ⅰ)- Hardware System 구축을 중심으로 -", 한국마린엔지니어링학회지, 32(4), pp.630~636 (2008), 한국마린엔지니어링학회
- 박정현, "비디오를 이용한 하구 사주 변화 모니터링 시스템(Ⅱ) - 낙동강 하구역 연안사주(도요등) 동측 해안선을 중심으로 -", 한국마린엔지니어링학회지, 34(4), pp.575~584 (2010), 한국마린엔지니어링학회
- 이숭지, "카메라를 활용한 조석사주 관측시스템 구축 및 지형변화", 한국마린엔지니어링학회지, 39(3), pp.326~333 (2015), 한국마린엔지니어링학회[DOI]
- 해양수산부, "연안침식 모니터링 체계구축 최종보고발표자료", ~ (2014)
- 연안침식 모니터링 체계구축(IV), "해양수산부", ~ (2016)
- Aarninkhof, S. G. J., "A video-technique for mapping intertidal beach bathymetry", Coastal Engineering, 49, pp.275~289 (2003)
- Aarninkhof, S. G. J., "Delft Data Perspective", 2016 ARGUS workshop (2016)
- Baldock, T. E., "Video-based remote sensing of surf zone conditions", IEEE Potentials, 32(2), pp.35~41 (2017)
- Balouin, Y., "Automatic assessment and analysis of beach attendance using video images at the Lido of Se、te beach, France", Ocean & Coastal Management, 102, pp.114~122 (2014)
- Benetazzo, A., "Stereo wave imaging from moving vessels: Practical use and applications", Coastal Engineering, 109, pp.114~127 (2016)
- Brignone M., "A system for beach video-monitoring: Beachkeeper plus", Computer & Geosciences, 49, pp.53~61 (2012)
- Sources of Industrial Growth and Structural Change: The Case of Turkey, "Celasun, M", World Bank, 1~169, pp.World Bank Staff Papers, No. 614 (1983)
- Chickadel, C. C., "An optical technique for the measurement of longshore currents", Journal of Geophysical Research, 108(C11), pp.3364~ (2003)
- Davidson, M., "The CoastView project: Developing video-derived Coastal State Indicators in support of coastal zone management", coastal engineering, 54, pp.463~475 (2007)
- Deltares, "ARGUS, video monitoring for coastal management and engineering", ~ (2013)
- Guillen, J., "Long-Term Quantification of Beach Users Using video monitoring", Journal of Coastal Research, 24(6), pp.1612~1619 (2008)
- Hartley, R., "Multiple View Geometry in Computer Vision", pp.665~ (2003), Cambridge University Press
- Heikkila, J., "Four-step camera calibration procedure with implicit image correction", Computer Society Conference on Computer Vision and Pattern Recognition (CVPR’97), pp.1106~1112 (1997), IEEE
- Holman, R.A, "Longshore variability of wave run-up on natual beaches", Proc. 19th Coastal Engrg. Conf, pp.1896~1912 (1984), ASCE
- Holman, R.A, "Measuring run-up in a natural beach", Coastal Engrg, 8, pp.129~140 (1984)
- Holman, R.A, "Remote sensing of the nearshore", Annu. Rev. Mar. Sci, 5, pp.95~113 (2013)
- Holman, R. A., "cBathy : A robust algorithm for estimating nearshore bathymetry", Journal of geophysical research, 118(C1), pp.2595~2609 (2013)
- Holman, R. A., "UAV processing manual", ~ (2016)
- Holman, R. A., "Surf zone characterization using a smal quadcopter: technical issues and procedures", IEEE Transactions on Geoscience and Remote Sensing, 55(4), pp.2017~2027 (2017)
- Jiménez. J. A., "Beach recreation planning using video-derived coastal state indicators", coastal engineering, 54, pp.507~521 (2007)
- Kammler, M, "Spatial and temporal analysis of beach tourism using webcam and aerial photographs", Managing the Baltic Sea Coastline, 2, pp.121~128 (2004)
- Lippmann, T.C, "Quantification of sand bar morphology: A video technique based on wave dissipation", Journal of geophysical research, 94(C1), pp.995~1011 (1989)
- Luijendijk, A. P., "The initial morphological response of the Sand Engine: A process-based modelling study", Coastal Engrg, 119, pp.1~14 (2017)
- Max Radermacher, "Remote sensing at the Sand Motor", ARGUS Workshop, 2014 (2014)
- Mulder, J.P.M, "Sand Engine: Background and design of a mega-nourichment piot in the Netherlands", Proc. 32nd Coastal Engrg. Conf, pp.1896~1912 (2010), ASCE
- Nieto, M. A., "An open source, low cost video-based coastal monitoring system", Earth Surface Processes and Landforms, 35, pp.1712~1719 (2010)
- Stive, M. J. F., "A new alternative to saving our beaches from sea-level rise: the sand engine", J. Coas. Res, 29(5), pp.1001~1008 (2013)
- Taborda, R, "COSMOS: A lightweight coastal video monitoring system", Computer and geosciences, 49, pp.248~255 (2012)
- Trygonis, V, "Monitoring beach usage with a coastal video imaging system: an application at Paralia Katerinis, Greece", 11th Panhellenic Symposium on Oceanography and Fisheries, pp.737~740 (2015)
- Turner, I. L., "Applications of coastal imaging technology to coastal engineering and coastal management in Australia", Proceedings of the 16th Australian Coastal and Ocean Engineering Conference (2003)
- Turner, I. L., "Coastal imaging applications and research in Australia", J. Coas. Res, 22(1), pp.37~48 (2006)
- "City of Gold Coast"[URL]
- "Coastal Wiki" (2017)[URL]