Journal of The Korean Society of Agricultural Engineers (한국농공학회논문집)

The Korean Society of Agricultural Engineers (한국농공학회)
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Estimation of Water Storage in Small Agricultural Reservoir Using Sentinel-2 Satellite Imagery

Sentinel-2 위성영상을 활용한 농업용 저수지 가용수량 추정

  • Lee, Hee-Jin (Department of Bioresources and Rural Systems Engineering, Hankyong National University) ;
  • Nam, Won-Ho (School of Social Safety and Systems Engineering, Institute of Agricultural Environmental Science, National Agricultural Water Research Center, Hankyong National University) ;
  • Yoon, Dong-Hyun (Department of Bioresources and Rural Systems Engineering, Hankyong National University) ;
  • Jang, Min-Won (Department of Agricultural Engineering, Institute of Agricultural and Life Science, Gyeongsang National University) ;
  • Hong, Eun-Mi (School of Natural Resources and Environmental Science, Kangwon National University) ;
  • Kim, Taegon (Department of Bioproducts and Biosystems Engineering, University of Minnesota) ;
  • Kim, Dae-Eui (Rural Research Institute, Korea Rural Community Corporation)
  • Received : 2020.09.02
  • Accepted : 2020.10.19
  • Published : 2020.11.30
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Abstract

Reservoir storage and water level information is essential for accurate drought monitoring and prediction. In particular, the agricultural drought has increased the risk of agricultural water shortages due to regional bias in reservoirs and water supply facilities, which are major water supply facilities for agricultural water. Therefore, it is important to evaluate the available water capacity of the reservoir, and it is necessary to determine the water surface area and water capacity. Remote sensing provides images of temporal water storage and level variations, and a combination of both measurement techniques can indicate a change in water volume. In areas of ungauged water volume, satellite remote sensing image acts as a powerful tool to measure changes in surface water level. The purpose of this study is to estimate of reservoir storage and level variations using satellite remote sensing image combined with hydrological statistical data and the Normalized Difference Water Index (NDWI). Water surface areas were estimated using the Sentinel-2 satellite images in Seosan, Chungcheongnam-do from 2016 to 2018. The remote sensing-based reservoir storage estimation algorithm from this study is general and transferable to applications for lakes and reservoirs. The data set can be used for improving the representation of water resources management for incorporating lakes into weather forecasting models and climate models, and hydrologic processes.

Keywords

References

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