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재난유형별 최적 위성영상 분석을 위한 위성 궤도 시뮬레이션 연구 및 적용 : 태풍 미탁(2019) 사례

Research and Application of Satellite Orbit Simulation for Analysis of Optimal Satellite Images by Disaster Type : Case of Typhoon MITAG (2019)

  • 임소망 (K-water연구원 수자원환경연구소) ;
  • 강기묵 (K-water연구원 수자원환경연구소) ;
  • 황의호 (K-water연구원 수자원환경연구소) ;
  • 유완식 (K-water연구원 연구관리처)
  • So-Mang, LIM (K-water Institute, Water Resources & Environmental Research Center) ;
  • Ki-Mook, KANG (K-water Institute, Water Resources & Environmental Research Center) ;
  • Eui-Ho, HWANG (K-water Institute, Water Resources & Environmental Research Center) ;
  • Wan-Sik, YU (K-water Institute, R&D Management Dept)
  • 투고 : 2022.11.25
  • 심사 : 2022.12.26
  • 발행 : 2022.12.31

초록

재난·재해에 신속하게 대응하기 위하여 다양한 센서의 위성영상 활용이 가능한 뉴스페이스 시대가 열렸다. 국내·외 운용 중인 위성의 수가 늘어나고 위성 센서의 특성이 다양하므로, 재난유형에 최적화된 위성영상을 찾는 것이 필요하다. 재난 유형은 태풍, 호우, 가뭄, 산불 등으로 나누고 각 재난유형별로 위성의 궤도, 능동/수동 센서, 공간 해상도, 파장대, 재방문주기를 고려한 최적의 위성 영상을 선정하였다. 각 위성궤도 TLE(Two Line Element) 정보는 SGP4(Simplified General Perturbations version 4) 모델에 적용하여 위성궤도 시뮬레이션 알고리즘을 개발하였다. 개발된 알고리즘은 위성 궤도를 10초 간격으로 시뮬레이션하고 각 센서의 입사각을 고려하여 정확한 관측영역을 선정하였다. 위성궤도 시뮬레이션 알고리즘을 2019년 태풍 미탁 사례에 적용하여 실제 촬영된 위성 리스트와 비교 및 분석하였다. 분석된 결과를 통해 재난 발생 지역의 촬영된 영상과 촬영 예정인 영상의 시간 및 영역을 수 초 이내 분석하여 재난 유형에 따른 최적의 위성영상을 선정하였다. 향후, 재난이 발생했을 때 위성영상을 신속하게 요청하고 확보할 수 있는 체계 구축에 기반이 되고자 한다.

In order to promptly respond to disasters, the era of new spaces has opened where satellite images with various characteristics can be used. As the number of satellites in operation at home and abroad increases and the characteristics of satellite sensors vary, it is necessary to find satellite images optimized for disaster types. Disaster types were divided into typhoons, heavy rains, droughts, forest fires, etc., and the optimal satellite images were selected for each type of disaster considering satellite orbits, active/passive sensors, spatial resolution, wavelength bands, and revisit cycles. Each satellite orbit TLE (Two Line Element) information was applied to the SGP4 (Simplified General Perturbations version 4) model to develop a satellite orbit simulation algorithm. The developed algorithm simulated the satellite orbit at 10-second intervals and selected an accurate observation area by considering the angle of incidence of each sensor. The satellite orbit simulation algorithm was applied to the case of Typhoon Mitag in 2019 and compared with the actual satellite list. Through the analyzed results, the time and area of the captured image and the image to be recorded were analyzed within a few seconds to select the optimal satellite image according to the type of disaster. In the future, it is intended to serve as a basis for building a system that can promptly request and secure satellite images in the event of a disaster.

키워드

과제정보

* 본 연구는 행정안전부 재난안전 부처협력 기술개발사업의 지원을 받아 수행된 연구입니다(20009742). 이에 감사드립니다.

참고문헌

  1. Cho, D.H., S.H. Han and H.D. Kim.. 2017. New TLE generation method based on the past TLEs. Journal of the Korean Society for Aeronautical & Space Sciences. 45(10):881-891. https://doi.org/10.5139/JKSAS.2017.45.10.881
  2. Choi, Y.S., J.H. Kim and J.S. Kim. 2020. Inundation analysis on the flood plain in Ungauged Area using satellite rainfall and global geographic data: In the case of Tumen/Namyang Area in Duman-gang (Riv.). Journal of the Korean Association of Geographic Information Studies. 23 (1):51-64.
  3. Han, S.G. 2017. Accuracy evaluation of DEM produced by using KOMPSAT-5 InSAR image. Journal of Cadastre & Land InformatiX. 47(2):39-47. https://doi.org/10.22640/LXSIRI.2017.47.2.39
  4. Kim, S.H., S.K. Lee, T.W. Kim and D.K. Kim. 2019. Estimation of flooded area using satellite imagery and DSM terrain data. Journal of the Korean Society of Hazard Mitigation. 19(7):471-483. https://doi.org/10.9798/KOSHAM.2019.19.7.471
  5. Lee, J.K., S.S Lee, J.C Yoon and K.H Choi. 2003. Real-time orbit determination of low earth orbit satellites using RADAR system and SGP4 model. Journal of Astronomy and Space Sciences. 20(1):21-28. https://doi.org/10.5140/JASS.2003.20.1.021
  6. Lee, M.J., S.J. Myeong, S.W. Jeon and J.S. Won. 2009. Identification of flooded areas and post-flooding conditions: developing flood damage mitigation strategies using satellite radar imagery, Journal of Environmental Policy. 8(2):1-23.
  7. Lim, H.J., O.C. Jung and E.W. Jung. 2014. A study on enhancement of orbit prediction precision for space objects using TLE. Journal of the Korean Society for Aeronautical & Space Sciences. 42(3):270-278. https://doi.org/10.5139/JKSAS.2014.42.3.270
  8. Lim, H.J., O.C. Jung and E.W. Jung. 2014. A study on orbit model difference for TLE pricision analysis. Proceeding of The Korean Society for Aeronauticla and Space Sciences Conference pp.868-871.
  9. Lim, S.M., K.M. Kang and W.S. Yu. 2021. A study on selection of optimal satellite imagery by disaster type. Proceedings of Korea Water Resources Association pp. 279.
  10. National Disaster Management Research Institute. 2016. Improvement of demand and supply of satellite imagery and development of application systems for disaster management.
  11. National Disaster Management Research Institute. 2016. Development of fundamental technologies for disaster analysis and application based on nid-resolution satellite imagery.
  12. National Disaster Management Research Institute. 2018. Development of monitoring and application emthods on disaster risk of Korean peninsula using the archived satellite data.
  13. National Disaster Management Research Institute. 2021. Development of the multi-satellite information supply and demand system for disaster safety management.
  14. Park, K,B. and S.W. Kim. 2011. Study of make inundation map using satellite photograph at urban river. Journal of the Environmental Sciences. 20(2):199-205. https://doi.org/10.5322/JES.2011.20.2.199
  15. 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