Sentinel-2 위성영상을 활용한 농업용 저수지 가용수량 추정
Estimation of Water Storage in Small Agricultural Reservoir Using Sentinel-2 Satellite Imagery
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참고문헌
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초록
Reservoir storage and water level information is essential for accurate drought monitoring and prediction. In particular, the agricultural drought hasincreased the risk of agricultural water shortages due to regional bias in reservoirs and water supply facilities, which are major water supply facilitiesfor agricultural water. Therefore, it is important to evaluate the available water capacity of the reservoir, and it is necessary to determine the watersurface area and water capacity. Remote sensing provides images of temporal water storage and level variations, and a combination of both measurementtechniques can indicate a change in water volume. In areas of ungauged water volume, satellite remote sensing image acts as a powerful tool to measurechanges in surface water level. The purpose of this study is to estimate of reservoir storage and level variations using satellite remote sensing imagecombined with hydrological statistical data and the Normalized Difference Water Index (NDWI). Water surface areas were estimated using the Sentinel-2satellite images in Seosan, Chungcheongnam-do from 2016 to 2018. The remote sensing-based reservoir storage estimation algorithm from this studyis general and transferable to applications for lakes and reservoirs. The data set can be used for improving the representation of water resourcesmanagement for incorporating lakes into weather forecasting models and climate models, and hydrologic processes.
Abstract
Reservoir storage and water level information is essential for accurate drought monitoring and prediction. In particular, the agricultural drought hasincreased the risk of agricultural water shortages due to regional bias in reservoirs and water supply facilities, which are major water supply facilitiesfor agricultural water. Therefore, it is important to evaluate the available water capacity of the reservoir, and it is necessary to determine the watersurface area and water capacity. Remote sensing provides images of temporal water storage and level variations, and a combination of both measurementtechniques can indicate a change in water volume. In areas of ungauged water volume, satellite remote sensing image acts as a powerful tool to measurechanges in surface water level. The purpose of this study is to estimate of reservoir storage and level variations using satellite remote sensing imagecombined with hydrological statistical data and the Normalized Difference Water Index (NDWI). Water surface areas were estimated using the Sentinel-2satellite images in Seosan, Chungcheongnam-do from 2016 to 2018. The remote sensing-based reservoir storage estimation algorithm from this studyis general and transferable to applications for lakes and reservoirs. The data set can be used for improving the representation of water resourcesmanagement for incorporating lakes into weather forecasting models and climate models, and hydrologic processes.
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