A Study on Water Surface Detection Algorithm using Sentinel-1 Satellite Imagery

Sentinel-1 위성영상을 이용한 수표면 면적 추정 알고리즘에 관한 연구

Lee, Dalgeun;Cheon, Eun Ji;Yun, Hyewon;Lee, Mi Hee

  • Received : 2019.09.30
  • Accepted : 2019.10.14
  • Published : 2019.10.31


The Republic of Korea is very vulnerable to damage from storm and flood due to the rainfall phenomenon in summer and the topography of the narrow peninsula. The damage is recently getting worse because of the concentration rainfall. The accurate damage information production and analysis is required to prepare for future disaster. In this study, we analyzed the water surface area changes of Byeokjeong, Sajeom, Subu and Boryeong using Sentinel-1 satellite imagery. The surface area of the Sentinel-1 satellite, taken from May 2015 to August 2019, was preprocessed using RTC and image binarization using Otsu. The water surface area of reservoir was compared with the storage capacity from WAMIS and RIMS. As a result, Subu and Boryeong showed strong correlations of 0.850 and 0.941, respectively, and Byeokjeong and Sajeom showed the normal correlation of 0.651 and 0.657. Thus, SAR satellite imagery can be used to objective data as disaster management.


Disaster;Flood;Microwave Remote Sensing;Synthetic Aperture Radar(SAR);Sentinel-1


Grant : 위성자료 활용 현업지원 기술개발

Supported by : 국립재난안전연구원