Near Real Time Flood Area Analysis Based on SAR Image and GIS

GIS와 SAR 영상을 연계한 근 실시간 홍수지역 분석

  • Sohn, Hong-Gyoo (School of Civil and Environment Eng., Yonsei University) ;
  • Song, Yeong-Sun (School of Civil and Environment Eng., Yonsei University) ;
  • Kim, Gi-Hong (GIS/LBS Project Center, Korea Institute of Construction Technology) ;
  • Yun, Kong-Hyun (School of Civil and Environment Eng., Yonsei University)
  • Published : 2004.12.31

Abstract

Accurate classification of water area is a preliminary step to analyze the flooded area and damages caused by flood. This is essential process for monitoring the region where annually repeating flood is a problem. The accurate estimation of flooded area can ultimately be utilized as a primary source of information for the policy decision. In this paper, flooded areas was classified using 1:25,000 land use map and a RADARSAT image of Ok-Chun and Bo-Eun located in Chung-Book province taken in 12th of August, 1998. Then we analyzed the flood area based on GIS. A RADARSAT image was used to classify the flooded areas with slope theme generated from digital elevation model. In processing on a RADARSAT image, the geometric correction was performed by a backwardgeocoding method based on ephemeris data and one control point for near real time flood area analysis.

정확한 수계영역의 분류는 홍수에 의한 피해면적을 분석하는데 핵심적인 과정으로서 매년 홍수가 발생하는 지역을 모니터링 하는데 매우 유용하다. 정확한 홍수지역의 분류는 궁극적으로 정책결정자에게 매우 유용한 정보가 될 수 있다. 본 연구에서는 1:25,000 토지이용도와 1998년 8월 12일 옥천, 보은지역을 촬영한 RADARSAT 영상을 이용하여 홍수지역을 분류하고, GIS와 연계하여 대상지역의 피해상황을 분석하였다. 근 실시간 지형보정을 위해서 천체력자료와 단일기준점을 활용하였으며, 특히, 수계영역 분류시 경사도정보를 이용하여 분류정확도를 향상시키는 기법을 개발하여 적용하였다.

Keywords

References

  1. 손홍규, 송영선, 장훈, 2004, RADARSAT SAR 영상과 지형정보를 이용한 홍수시 산악지역의 수계영역추출 정확도 향상, 대한토목학회논문집, 24권, 제2D호, pp. 293-301
  2. Chen, P. H., and J. Dowman, 2001, A Weighted Least Squares Solution for Space Intersection of Spacebome Stereo SAR Data, IEEE Transactions on Geoscience and Remote Sensing, 39(2), pp. 233-240
  3. Goering, D. J., H. Chen, L. D. Hinzman, and D. L. Kane, 1995, Removal of terrain effects from SAR satellite imagery of Arctic tundra, IEEE Transactions on Geoscience and Remote Sensing, 33(1), pp. 185-194
  4. Goyal, S. K., M. S. Seyfried, and P. E. O'Neill, 1998, Effect of digital elevation model resolution on topographic correction of airborne SAR, International Journal of Remote Sensing, 19(16), pp. 3075-3096
  5. Kim, C., 2002, Flood damage Mapping in North Korea Using JERS-1 DATA, IGARSS 02
  6. Ormsby, J., B. Blanchard, and A. Bladchard, 1985, Detection of Lowland Flooding Using Active Microwave Systems, PE & RS, Vol. 51, pp. 317-328
  7. Shao, Y, H. Guo, H. Liu, X. Fan, J. Liao, C. Wang, S. Wang, and C. Wei, 2000, Chinese SAR for Yangtze River Flood Monitoring In 1998, IGARSS 00
  8. Small, D., F. HoIecz, D. Nuesch, and A. Barmettler, 1997, Geometric and Radiometric Calibration of RADARSAT Image, Proc. of Geomatics in the Era of RADARSAT
  9. Sun, G., K. J. Ranson, and V. I. Kharuk, 2002, Radiometric slope correction for forest biomass estimation from SAR data in the Western Sayani Mountains, Siberia, Remote Sensing of Environment, 79(2), pp. 279-287