Journal of the Korean Association of Geographic Information Studies (한국지리정보학회지)

The Korean Association of Geographic Information Studies (한국지리정보학회)
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Extraction of Water Body Area using Micro Satellite SAR: A Case Study of the Daecheng Dam of South korea

초소형 SAR 위성을 활용한 수체면적 추출: 대청댐 유역 대상

  • PARK, Jongsoo (K-water Institute Water Resources Satellite Research Center) ;
  • KANG, Ki-Mook (K-water Institute Water Resources Satellite Research Center) ;
  • HWANG, Eui-Ho (K-water Institute Water Resources Satellite Research Center)
  • 박종수 (K-water연구원 수자원위성연구센터) ;
  • 강기묵 (K-water연구원 수자원위성연구센터) ;
  • 황의호 (K-water연구원 수자원위성연구센터)
  • Received : 2021.10.29
  • Accepted : 2021.11.23
  • Published : 2021.12.31
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Abstract

It is very essential to estimate the water body area using remote exploration for water resource management, analysis and prediction of water disaster damage. Hydrophysical detection using satellites has been mainly performed on large satellites equipped with optical and SAR sensors. However, due to the long repeat cycle, there is a limitation that timely utilization is impossible in the event of a disaster/disaster. With the recent active development of Micro satellites, it has served as an opportunity to overcome the limitations of time resolution centered on existing large satellites. The Micro satellites currently in active operation are ICEYE in Finland and Capella satellites in the United States, and are operated in the form of clusters for earth observation purposes. Due to clustering operation, it has a short revisit cycle and high resolution and has the advantage of being able to observe regardless of weather or day and night with the SAR sensor mounted. In this study, the operation status and characteristics of micro satellites were described, and the water area estimation technology optimized for micro SAR satellite images was applied to the Daecheong Dam basin on the Korean Peninsula. In addition, accuracy verification was performed based on the reference value of the water generated from the optical satellite Sentinel-2 satellite as a reference. In the case of the Capella satellite, the smallest difference in area was shown, and it was confirmed that all three images showed high correlation. Through the results of this study, it was confirmed that despite the low NESZ of Micro satellites, it is possible to estimate the water area, and it is believed that the limitations of water resource/water disaster monitoring using existing large SAR satellites can be overcome.

수자원 관리와 수재해 피해 분석 및 예측 등을 위해 원격탐사를 활용한 수체면적을 추정하는 것은 매우 필수적이다. 위성을 활용한 수체탐지는 주로 광학 및 영상레이더(Synthetic Aperture Radar, SAR) 센서를 탑재한 대형(무게 1,000kg 이상) 위성을 중심으로 수행되어왔다. 그러나 긴 재방문주기(repeat cycle)로 인해 재난/재해 시 적시 활용이 불가능한 한계가 존재한다. 최근 초소형위성(무게 100kg 미만) 개발이 활발히 이루어짐에 따라 기존 대형위성 중심의 시간해상도 한계를 극복할 수 있는 계기가 되었다. 현재 활발히 운용중인 초소형 SAR 위성은 핀란드의 ICEYE와 미국의 Capella 위성으로, 지구관측을 목적으로 군집(constellation) 형태로 운용되고 있다. 군집화 운용으로 인해 짧은 재방문주기(현재 0.8회/1일) 및 고해상도(Spot(0.5m))를 가지며, SAR센서 탑재로 기상 및 주야 무관하게 관측이 가능한 장점이 있다. 본 연구에서는 초소형위성의 운영 현황 및 특징에 대해서 기술하였으며, 초소형 SAR 위성 영상에 최적화된 수체면적 추정기술을 한반도 대청댐 유역에 적용해 보았다. 또한 광학 위성인 Sentinel-2 위성으로부터 생성된 수체를 참조값(reference)으로 하여 초소형위성 2기와 대형위성인 Sentinel-1위성과의 면적, 상관성 분석을 수행하였다. Capella 위성의 경우 가장 적은 면적의 차를 보였으며, 세 영상 모두 높은 상관관계를 나타냄을 확인하였다. 본 연구의 결과를 통해 초소형 SAR 위성의 낮은 NESZ(Noise Equivalent Sigma Zero)에도 불구하고 수체면적 추정이 가능함을 확인하였으며, 기존 대형 SAR 위성을 활용한 수자원/수재해 감시 활용의 한계를 극복할 수 있을 것으로 사료된다.

Keywords

Acknowledgement

본 연구는 환경부의 한국환경산업기술원의 수요대응형 물공급서비스 연구사업의 지원을 받아 연구되었습니다.(2019002650004)

References

  1. Cho, W.H., Park, J.S., Kim, J.R., Shin, C.K., and Lee, Y.S. 2015. Korea Water Resources Association. pp.114-114.
  2. Capella. 2020. Capella space SAR imagery products guide. Capella Space. San Francisco. CA. USA. pp. 1-19.
  3. Gang, S.M., Ryu, D.H., Choi, Y.C., and Ghoung, Y.J. 2017. Unity3D-based flood simulation visualization web system for efficient disaster management. Journal of the Korean Association of Geographic Information Studies 20(1):98-112. https://doi.org/10.11108/KAGIS.2017.20.1.098
  4. Jeong, J.H., Oh, S.C., Lee, S.C., Kim, J.Y., and Choi, M.H. 2021. Sentinel-1 SAR image-based waterbody detection technique for estimating the water storage in agricultural reservoirs. Journal of Korea Water Resources Association 54(7):535-544. https://doi.org/10.3741/JKWRA.2021.54.7.535
  5. Kim, D., Jung, H.S., and Baek, W. 2016. Comparative analysis among radar image filters for flood mapping. Journal of the Korean Society of Suveying, Geodesy, Photogrammetry and Cartography 34(1):43-52. https://doi.org/10.7848/ksgpc.2016.34.1.43
  6. Kim, J.H, Lee, K.H, Kim, H.R, Lee, H.J., Ryu, J.G, and Sakong, Y.B. 2020. Analysis of micro-satellite revisit time according to constellation configuration for IoT & M2M communication mission. The Korean Society for Aeronautical & Space Sciences. pp.109-110.
  7. Kim, S., Lee, T., and Shin, Y. 2019. Estimation of high-resolution soil moisture based on sentinel-1A/B SAR sensors. Journal of the Korean Society of Agricultural Engineers 61(5):89-99.
  8. Kim, B.., Choi, K.H, and Won, J.S.. 1988. Efficient speckle noise filtering of SAR images. Journal of Astronomy and Space Sciences 15(1):175-182.
  9. Kim, Y., and Kang, K. 2021. A study on the utilization of SAR microsatellite constellation for ship detection. Korean Journal of Remote Sensing 37(3):627-636. https://doi.org/10.7780/KJRS.2021.37.3.21
  10. Kitajima, N., Seto, R., Yamazaki, D., Zhou, X., Ma, W., and Kanae, S. 2021. Potential of a SAR small-satellite constellation for rapid monitoring of flood extent. Remote Sensing 13(10):1959. https://doi.org/10.3390/rs13101959
  11. Kim, S.H., Lee, C.H., Kim, Y.S., and Hwang, S.B. 2016. A study on development of flood damage estimation function ofr river infra structure with NDMS and WAMIS. Journal of Korean Society of Hazard Mitigation 16(4):81-87. https://doi.org/10.9798/KOSHAM.2016.16.4.81
  12. Lee, D.G., Cheon, E.J., Yun, H.., and Lee, M.H. 2019. A study on water surface detection algorithm using sentinel-1 satellite imagery. Korean Journal of Remote Sensing. 35(5-2):809-818.
  13. Lee, K.S. 1996. Effects of speckle filtering on synthetic aperture radar(SAR) imagery. Journal of the Korean Society of Remote Sensing 12(2):155-168.
  14. Lee, S.S., Lee, M.H., and Kang, H.S. 2020. Landsat 8(L8) data users handbook. Department of the Interior US Geological Survey, v1. https://www.usgs.gov/landresources/nli/landsat/landsat-8-data-users-handbook.. (Accessed October 20, 2021).
  15. Lee, K.J., Oh, K.Y., and Chae, T.B. 2019. Development and application status of microsatellites. Current Industrial and Technological Trends in Aerospace 17(2): 113-124.
  16. Moon, J.J., Gang, S.U., and Lee, J.J. 2020. National precipitation analysis of 2020 floods. Water for future 53(10):135-143.
  17. MOIS. 2020. Statistical yearbook of natural disaster.https://www.safekorea.go.kr/idsiSFK/neo/sfk/cs/csc/bbs_conf.jsp?bbs_no=26&emgPage=Y&menuSeq=735. (Accessed November 27, 2021).
  18. Paek, S.W., Balasubramanian, S., Kim, S., and de Weck, O. 2020. Small-satellite synthetic aperture radar for continuous global biospheric monitoring: A review, Remote Sensing 12(16):2546. https://doi.org/10.3390/rs12162546
  19. Park, S.E. 2016. Detection of water bodies from kompsat-5 SAR data. Korean Journal of Remote Sensing 32(5):539-550. https://doi.org/10.7780/KJRS.2016.32.5.11
  20. Park, J.M., Kim, D.S., Kim, W.S., and Kim, J.P. 2019. Operation mode design and performance analysis for small satellite SAR payload. The Journal of the Institute of Internet, Broadcasting and Communication 19(5):169-173.
  21. Rahman, M.R., and Thakur, P.K. 2018. Detecting mapping and analysing of flood water propagation using synthetic aperture radar (SAR) satellite data and GIS: A case study from the Kendrapara district of Orissa state of india. The Egyptian Journal of Remote Sensing and Space Science. 21:37-41. https://doi.org/10.1016/j.ejrs.2016.12.005
  22. Tahk, G.M, Choi, S.H., Lim, S.H., Lee, K.J., and Park, J.S. 2020. Status and developement plan of multi-payload adaptor for nano / micro-satellites in korea. The Korean Society for Aeronautical and Space Sciences. pp.498-501.
  23. Yoon, S.., Lee, S., Park, K., Jang, S., and Rhee, J. 2018. Development of a storage level and capacity monitoring and forecasting techniques in yongdam dam basin using high resolution satellite image. Korean Journal of Remote Sensing 34(6-1):1041-1053.
  24. Yoon, Y.S., and Min, K.J. 2016. Industry trend and development status of nano/micro satellite. Current Industrial and Technological Trends in Aerospace 14(1):18-25.
  25. Zhang, Y., Chi, Z., Hui, F., Li, T., Liu, X., Zhang. B., Cheng, X., and Chen Z. 2021. Accuracy evaluation on geolocation of the chinese first polar microsatellite(Ice Pathfinder) imagery. Remote Sensing 13(21):4278. https://doi.org/10.3390/rs13214278