DOI QR코드

DOI QR Code

Analysis of Coastline Changes in Yeongdong Region Using Aerial Photos and CORONA Satellite Images

항공사진과 CORONA 위성영상을 이용한 영동지역 해안선 변화 분석

  • Ahn, Seunghyo (Inter-Department Collabortory Program in Spatial Information Science, Gangneung-Wonju National University) ;
  • Kim, Gihong (Dept. of Civil Engineering, Gangneung-Wonju National University) ;
  • Lee, Hanna (Inter-Department Collabortory Program in Spatial Information Science, Gangneung-Wonju National University)
  • Received : 2022.06.06
  • Accepted : 2022.06.17
  • Published : 2022.06.30

Abstract

In the Yeongdong region of Gangwon-do, coastal areas are important resources in terms of cultural, social and economic aspects. However, the coast of Gangwon-do is experiencing severe erosion, and it is concerned that its adverse effects will gradually increase. In this study, coastline changes of Yangyang and Gangneung in Gangwon-do were tracked and analyzed over a long period of time. In order to build time series image data, aerial photos from the 1940s to the present were mainly used, and data from CORONA satellite, which operated from the 1960s to the early 1970s, were collected and used together. Using 51cm resolution ortho image and 2m resolution Digital Elevation Model(DEM) as reference, ground control points were selected to perform geometric correction on the aerial photos and CORONA images. Subsequently, Canny edge detector applied to these images to extract the coastlines. As a result of analyzing the extracted and vectorized coastlines by overlaying them in chronological order, erosion and deposition occurring around the artificial structures and on the nearby beaches were observed. In this study, the effect of seasonal variation, tide, and various coastal management including the beach filling were not considered. Because coastal erosion is greatly affected by geographic factors, each local government must find its own solution. Continuous research and local data accumulation are required.

강원 영동지방에서 연안은 문화적, 사회적, 경제적으로 중요한 자원이다. 그러나 강원도 해안은 다른 지역과 비교하여 매우 심각한 침식을 겪고 있으며, 이로 인한 피해가 점차 증가할 것으로 우려된다. 본 연구에서는 강원도 양양 남대천 하구 주변과 강릉 옥계 해변의 장기간에 걸친 해안선 변화를 추적하고 분석하였다. 시계열 영상자료를 구축하기 위해 해방 직후부터 최근까지의 항공사진을 주로 이용하였으며, 1960년대부터 70년대 초까지 운용된 CORONA 위성영상을 수집하여 함께 활용하였다. 51cm 해상도 정사영상과 2m 해상도 수치고도모형(DEM)을 이용하여 기준점을 설정하고 항공사진과 위성영상을 기하보정하였다. 이들 영상에 Canny 경계검출 연산자를 적용하여 해안선을 추출하고 벡터화하였다. 해안선을 해방 직후부터 시간 순서대로 중첩하여 분석한 결과, 인공 구조물 주변과 인근 해변에서 발생한 침식과 퇴적을 관찰할 수 있었으며, 구조물 건설 시점을 전후한 주변 해안선 변화도 관찰할 수 있었다. 다만 본 연구에서는 해안선의 계절적 변화와 조석, 그리고 양빈사업을 비롯한 각종 해안침식 방지사업에 따른 영향은 고려되지 않았다. 해안침식은 지리적 요인에 크게 영향을 받기 때문에 지역마다 원인과 해결방안이 다르며, 따라서 지자체별로 지속적인 연구와 데이터 축적이 필요하다.

Keywords

Acknowledgement

이 논문은 2022년 정부(국토교통부)의 재원으로 공간정보 융복합 핵심인재 양성사업의 지원을 받아 수행된 연구임(2019-08-01)

References

  1. Canny, J. (1986), A computational approach to edge detection, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. PAMI-8, No. 6, pp. 679-698. https://doi.org/10.1109/TPAMI.1986.4767851
  2. Choi, C.U., Oh, C.Y., and Lee, C.H. (2009), The coastline change on Gwangalli using spatial information, Journal of Korean Society for Geospatial Information Science, Vol. 17, No. 1, pp. 13-19. (in Korean with English abstract)
  3. Choi, J.H., Jun, K.W., and Yoon, Y.H. (2018), Hydraulic characteristic analysis for prevention of river disaster at estuary in the Eastern Coast of Korea, Journal of Korean Society of Disaster and Security, Vol. 11, No. 2, pp. 83-89. (in Korean with English abstract) https://doi.org/10.21729/KSDS.2018.11.2.83
  4. Grosse, G., Schirrmeister, L., Kunitsky, V.V., and Hubberten, H.W. (2005), The use of CORONA images in remote sensing of periglacial geomorphology: An illustration from the NE Siberian coast, Permafrost and Periglacial Processes, Vol. 16, No. 2, pp. 163-172. https://doi.org/10.1002/ppp.509
  5. Hwang, C.S., Choi, C., and Choi, J.S. (2014), Shoreline changes interpreted from multi-temporal erial photographs and high resolution satellite images: A case study in Jinha beach, Korean Journal of Remote Sensing, Vol. 30, No. 5, pp. 607-616. (in Korean with English abstract) https://doi.org/10.7780/KJRS.2014.30.5.6
  6. Jeong, S.H., Khim, B.K., Kim, B.O., and Lee, S.R. (2013), Shoreline-change rates of the barrier islands in Nakdong river estuary using aerial photography and SPOT-5 image, Ocean and Polar Research, Vol. 35, No. 1, pp. 1-14. (in Korean with English abstract) https://doi.org/10.4217/OPR.2013.35.1.001
  7. Kim, B.O., Yun, K.H., and Lee, C.K. (2013), Analysis on the long-term shoreline changes for beaches near Bangpo port using aerial imagery, Korean Journal of Remote Sensing, Vol. 29, No. 5, pp. 477-486. (in Korean with English abstract) https://doi.org/10.7780/KJRS.2013.29.5.3
  8. Kim, D.S. and Lee, G.R. (2015), Seasonal changes of shorelines and beaches on east sea coast, South Korea, Journal of the Korean Geographical Society, Vol. 50, No. 2, pp. 147-164. (in Korean with English abstract)
  9. Kim, I.H. and Song, D. (2012), Investigation of coastal erosion status in Geojin port area, Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, Vol. 30, No. 1, pp. 67-73. (in Korean with English abstract) https://doi.org/10.7848/KSGPC.2012.30.1.067
  10. Kim, M.K., Sohn, H.G., Kim, S.P., and Jang, H.S. (2013), Automatic coastline extraction and change detection monitoring using LANDSAT imagery, Journal of Korean Society for Geospatial Information System, Vol. 21, No. 4, pp. 45-53. (in Korean with English abstract) https://doi.org/10.7319/kogsis.2013.21.4.045
  11. Kim, Y.J., Hwang, S., and Yoon, S.O. (2019), Shoreline change before and after breakwater extension at the Gungchon port, Geundeok-myeon, Samcheok-si, Gangwon-do, Journal of the Geomorphological Association of Korea, vol. 26, No. 2, pp. 29-38. (in Korean with English abstract) https://doi.org/10.16968/JKGA.26.2.29
  12. Lee, J.O., Kim, Y.S., Park, S.B., and Park, C.Y. (2013), The analysis of Eulsukdo shoreline change using multi-temporal aerial photo and DSAS program, Journal of Korean Society for Geospatial Information System, Vol. 21, No. 1, pp. 11-18. (in Korean with English abstract) https://doi.org/10.7319/kogsis.2013.21.1.011
  13. Lee, J.O., Kim, Y.S., and We, G.J. (2008), Shoreline change analysis of Haeundae beach using airborne LiDAR survey, Journal of Civil and Environmental Engineering Research, Vol. 28, No. 4, pp. 561-567. (in Korean with English abstract)
  14. Mihai, B., Nistor, C., Toma, L., and Savulescu, I. (2016), High resolution landscape change analysis with CORONA KH4B imagery: A case study from Iron Gates Reservoir area, Procedia Environmental Sciences, Vol. 32, pp. 200-210. https://doi.org/10.1016/j.proenv.2016.03.025
  15. Ministry of Oceans and Fisheries (Rep. of Korea) (2017), 2017 Coastal Erosion Monitoring Report, Ministry of Oceans and Fisheries (Rep. of Korea). (in Korean) https://www.mof.go.kr/article/view.do?articleKey=20593&searchSelect=title&searchValue=%EC%97%B0%EC%95%88%EC%B9%A8%EC%8B%9D&boardKey=2&menuKey=427¤tPageNo=1
  16. Narama, C., Kaab, A., Duishonakunov, M., and Abdrakhmatov, K. (2010), Spatial variability of recent glacier area changes in the Tien Shan Mountains, Central Asia, using CORONA (~1970), LANDSAT (~2000), and ALOS (~2007) satellite data, Global and Planetary Change, Vol. 71, No. 1-2, pp. 42-54. https://doi.org/10.1016/j.gloplacha.2009.08.002
  17. Noaje, I., and Sion, I.G. (2012), Environmental changes analysis in Bucharest city using CORONA, SPOT HRV and IKONOS images. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XXXIX-B7, pp. 329-334. https://doi.org/10.5194/isprsarchives-XXXIX-B7-329-2012
  18. Park, J.E., Kim, S.Y., Choi, B.J., and Byun, D.S. (2019), Estimation of mean surface current and current variability in the East Sea using surface drifter data from 1991 to 2017, The Sea, Journal of the Korean Society of Oceanography, Vol. 24, No. 2, pp. 208-225. (in Korean with English abstract) https://doi.org/10.7850/JKSO.2019.24.2.208
  19. Saleem, A., Corner, R., and Awange, J. (2018), On the possibility of using CORONA and LANDSAT data for evaluating and mapping long-term LULC: Case study of Iraqi Kurdistan. Applied Geography, Vol. 90, pp. 145-154. https://doi.org/10.1016/j.apgeog.2017.12.007
  20. Schmidt, S. and Nusser, M. (2012), Changes of high altitude glaciers from 1969 to 2010 in the Trans-Himalayan Kang Yatze Massif, Ladakh, Northwest India, Arctic, Antarctic, and Alpine Research, Vol. 44, No. 1, pp. 107-121. https://doi.org/10.1657/1938-4246-44.1.107
  21. Sohn, H.G., Kim, G., and Yom, J.H. (2004), Mathematical modelling of historical reconnaissance CORONA KH-4B Imagery, The Photogrammetric Record, Vol. 19, No. 105, pp. 51-66. https://doi.org/10.1046/j.0031-868X.2003.00257.x
  22. Song, D.X., Huang, C., Sexton, J. O., Channan, S., Feng, M., and Townshend, J.R. (2015), Use of LANDSAT and CORONA data for mapping forest cover change from the mid-1960s to 2000s: Case studies from the Eastern United States and Central Brazil. ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 103, pp. 81-92. https://doi.org/10.1016/j.isprsjprs.2014.09.005
  23. Yun, K.H. and Song, Y.S. (2017), Observation on the shoreline changes using digital aerial imagery for Bangamoeri beaches, Korean Journal of Remote Sensing, Vol. 33, No. 6_1, pp. 971-980. (in Korean with English abstract) https://doi.org/10.7780/KJRS.2017.33.6.1.6