Journal of Korean Society of Disaster and Security (한국방재안전학회논문집)

Korean Society of Disaster & Security (한국방재안전학회)
권호 표지
DOI QR코드

DOI QR Code

Development of Levee Safety Revaluation for Satellite Images

위성 이미지를 활용한 제방 안정성 평가 기법 개발

  • Bang, Young Jun (Dep. of Civil and Environmental Engineering, Hongik University) ;
  • Lee, Seung Oh (Dep. of Civil and Environmental Engineering, Hongik University)
  • 방영준 (홍익대학교 건설환경공학과) ;
  • 이승오 (홍익대학교 건설환경공학과)
  • Received : 2022.08.13
  • Accepted : 2022.09.13
  • Published : 2022.09.30
Download PDF
⟨ Previous Next ⟩

Abstract

Recently, the risk of water disasters are increasing due to climate change and the aging of river levees. Existing conventional river embankment inspections have many limitations due to the consumption of a lot of manpower and budget. Thus, it is necessary to establish a new monitoring and forecast/warning method for effective flood response. This study proposes the river levee health monitoring system by analyzing the relationship between river levee deformation and hydrological factors using Sentinel-1. The variance index calculated in this study was classified into 4 grades. And the levees collapse section was judged to be a high vulnerable point in which the variance rapidly increased based on the result of the rapid increase in soil moisture. In the future, it is expected that it will be possible to advance levee maintenance technology and improve national disaster management through the advancement of the existing levee management system and automated monitoring through the forensic method that combines remote technology.

최근 기후변화와 하천 제방의 노후화로 인해 수재해 위험이 가중되고 있으나 기존의 재래적인 하천 제방의 점검은 많은 인력과 예산 소모로 많은 한계점들이 존재하다. 이에 따라 효과적인 홍수 대응을 위해 새로운 모니터링과 예/경보 시스템 구축이 필요한 상황이다. 본 연구는 인공위성(Sentinel-1)을 이용한 하천 제방 변위 산출, 수문학적 요인과의 관계 분석 항목들을 결합한 하천 제방 건강상태 모니터링 방법을 제안한다. 본 연구에서 산정한 변동성 지수를 계산하여 4등급으로 구분하였고, 토양 수분의 급증한 결과를 토대로 제방 붕괴 구간이 변동성이 급증한 취약지점 상태로 판단하였다. 향후에는 원격 기술과 분석 항목들을 결합한 포렌식 기법을 통해 기존 제방관리 시스템의 고도화가 가능할 것으로 기대한다.

Keywords

Acknowledgement

본 결과물은 교육부의 재원으로 홍익대학교의 대학혁신지원사업(UROP)의 지원을 받아 연구되었으며, 자문을 주신 산업체 전문가 H2R 소속의 제갈선동 박사님께 감사드립니다.

References

  1. Abramson, L., Lee, T. Sharma, S., and Boyce, G. (1996). Slope Stability and Stabilization Methods. Jonh Wiley & Sons Inc., New York, Segunda Edicao, p. 629
  2. Ahn, M. H., Bae, I. H., Kang, J. g., and Ji, U. (2020). Large-scale Levee Monitoring Experiment Using Fiber-optic Sensor and Distributed Temperature Sensing System. Journal of Korean Society of Ecology and Infrastructure Engineering. 7(3): 181-188.
  3. Ariyama, T. and Saito, Y. (2014). Satellite-based Disaster Management System for Asia-Pacific Region. Fujitsu Scientific and Technical Journal. 50(3): 24-29.
  4. Chang, L., Dollevoet R. P. B. J., and Hanssen, R. F. (2018). Monitoring Line-Infrastructure with Multisensor SAR Interferometry: Products and Performance Assessment Metrics. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 11(5): 1593-1605. https://doi.org/10.1109/JSTARS.2018.2803074
  5. Choung, Y. J. (2014). Mapping Levees Using LIDAR Data and Multispectral Orthoimages in the Nakdong River Basins, South Korea. Journal of Remote Sensing. 6(9): 8696-8717. doi:10.3390/rs6098696
  6. Gao, Q., Zribi, M., Escorihuela, M. J., and Baghdadi, N. (2017). Synergetic Use of Sentinel-1 and Sentinel-2 Data for Soil Moisture Mapping at 100 m Resolution. Sensors. 17(9): 1966. https://doi.org/10.3390/s17091966
  7. Ge, L., Chang, H. C., and Rizos, C. (2007). Mine Subsidence Monitoring Using Multi-source Satellite SAR Images. Photogrammetric Engineering & Remote Sensing. 73(3): 259-266. https://doi.org/10.14358/PERS.73.3.259
  8. Geudtner, D., Torres, R., Snoeij, P., Davidson, M., and Rommen, B. (2014). Sentinel-1 System Capabilities and Applications. In 2014 IEEE Geoscience and Remote Sensing Symposium. IEEE. pp. 1457-1460.
  9. Hallikainen, T., Ulaby, F. T., Dobson, M. C., El-Rayes, M. A., and Wu, L. 1985. Microwave Dielectric Behavior of Wet Soil. Part-I: Empirical Models and Experimental Observation. IEEE Trans. Geosci. Remote Sens. 23: 25-34.
  10. Kim, H. B., Yoon, H. S., Youm, M. K., and Lee, W. E. (2017). Land Subsidence Analysis for the High-speed Railway Line of Honam using D-InSAR Technique. Journal of the Korean Society for Geospatial Informartion Science. 25(3): 35-41.
  11. Kim, J., Park, Y., Jeon, J., Engel, B., Ahn, J., Park, Y., Kim, K., Choi, J., and Lim, K. (2007). Evaluation of L-THIA WWW Direct Runoff Estimation with\ AMC Adjustment. Journal of Korean Society on Water Quality. 23(4): 474-481 (in Korean with English abstract).
  12. Kim, S. W., Lee, T. H., and Shin, Y. C. (2019). Estimation of High-Resolution Soil Moisture based on Sentinel-1 A/B SAR Sensor. Journal of the Korean Society Agriculture. 61(5): 89-99.
  13. Kool, J. J., Kanning, W., Heyer, T., Jommi, C., and Jonkman, S. N. (2019). Forensic Analysis of Levee Failures: The Breitenhagen Case. International Journal of Geoengineering Case Histories. 5(2): 70-92.
  14. Lee, S. H., Yu, K. K., Kim, S. D., and Kang, T. U. (2020). Analysis of the Cause of Floods in Busan and Gyeongnam on August 2020. Journal of Korea Water Resource Association: Water for Future. 53(11): 49-62.
  15. Lee, S. J., Hong, S., Cho, J., and Lee, Y. W. (2017). Experimental Retrieval of Soil Moisture for Cropland in South Korea using Sentinel-1 SAR data. Korean Journal of Remote Sensing. 33(6_1): 947-960. https://doi.org/10.7780/KJRS.2017.33.6.1.4
  16. Liu, L., Jiang, L., Sun, Y., Yi, C., Wang, H., and Hsu, H. (2016). Glacier Elevation Changes (2012-2016) of the Puruogangri Ice Field on the Tibetan Plateau Derived from Bi-temporal TanDEM-X InSAR data. International Journal of Remote Sensing. 37(24): 5687-5707. https://doi.org/10.1080/01431161.2016.1246777
  17. Lu, C. H., Ni, C. F. Chang, C. P., Yen, J. Y., and Chuang, R. Y. (2018). Coherence Difference Analysis of Sentinel-1 SAR Interferogram to Identify Earthquake-Induced Disasters in Urban Areas. MDPI Remote Senings. 10(8): 1318. doi: 10.3390/rs10081318
  18. Mandal, D., Vaka, D., S., Bhogapurapu, N. R., Vanama, V. S. K., Kumar, V., Rao, Y. S., and Bhattacharya, A. (2019). Sentinel-1 SLC Preprocessing Workflow for Polarimetric Applications: A Genericpractice for Generating Dual-pol Covariance Matrix Elements in SNAP S-1 Toolbox. Preprint.
  19. Massonnet, D. and Rabaute, T. (1993). Radar Interferometry: Limits and Potential. IEEE Transactions on Geoscience and Remote Sensing. 31(2): 455-464. https://doi.org/10.1109/36.214922
  20. Ministry of Land, Transport and Maritime Affairs of Republic of Korea (2009). Seomjingang River Master Plan Report. Iksan Regional Construction Management Office. Sejong: MOLIT.
  21. Ministry of Land, Transport and - Maritime Affairs of Republic of Korea (2012). Seomjingang River Master Plan Report. Iksan Regional Construction Management Office. Sejong: MOLIT.
  22. Moreira, A., Prats-Iraola, P., Younis, M., Krieger, G., Hajnsek, I., and Papathanassiou, K. P. (2013). A Tutorial on Synthetic Aperture Radar. IEEE Geoscience and Remote Sensing Magazine. 1(1): 6-43.
  23. Ozer, I. E., van Leijen, F. J., Jonkman, S. N., and Hanssen, R. F. (2018). Applicability of Satellite Radar Imaging to Monitor the Conditions of Levees. Journal of Flood Risk Management. 12(S2): e12509.
  24. Paloscia, S., Pettinato, S., Santi, E., Notarnicola, C., Pasolli, L., and Reppucci, A. J. R. S. O. E. (2013). Soil Moisture Mapping Using Sentinel-1 Images: Algorithm and Preliminary Validation. Remote Sensing of Environment. 134: 234-248. https://doi.org/10.1016/j.rse.2013.02.027
  25. Rosen, P. A., Hensley, S., Joughin, I. R., Li, F. K., Madsen, S. N., Rodriguez, E., and Goldstein, R. M. (2000). Synthetic Aperture Radar Interferometry. Proceedings of the IEEE. 88(3): 333-382. https://doi.org/10.1109/5.838084
  26. Tamm, T., Zalite, K., Voormansik, K., and Talgre, L. (2016). Relating Sentinel-1 Interferometric Coherence to Mowing Events on Grasslands. MDPI Remote Sensing. 8(10): 802. doi: 10.3390/rs8100802
  27. Ulaby, F. T., Moore, M. K., and Fung, A. K. (1982). Microwaveremote Sensing. Active and Passive. Artech House Inc., Norwood, MA, USA.
  28. Ullo, S. L., Addabbo, P., Martire, D. D., Sica, S., Fiscante, N., Cicala, L., Angelino, C. V. (2019). Application of DInSAR Technique to High Coherence Sentinel-1 Images for Dam Monitoring and Result Validation through in Situ Measurements. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 12(3): 10-11.
  29. Yoon, K. S. (2003). "Stability Evaluation according to the Cause of River Levee Failure. Journal of Korea Water Resource Association: Water for Future. 35(5): 25-31.
  30. Yu, J. H. and Yun, H. W. (2019). Development of Continuous Ground Deformation Monitoring System using Sentinel Satellite in the Korea. Korean Journal of Remote Sensing. 35(5): 773-779. https://doi.org/10.7780/KJRS.2019.35.5.2.2