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http://dx.doi.org/10.3741/JKWRA.2021.54.7.535

Sentinel-1 SAR image-based waterbody detection technique for estimating the water storage in agricultural reservoirs  

Jeong, Jaehwan (Department of Water Resources, Sungkyunkwan University)
Oh, Seungcheol (School of Civil, Architecture Engineering & Landscape Architecture, Sungkyunkwan University)
Lee, Seulchan (Department of Water Resources, Sungkyunkwan University)
Kim, Jinyoung (National Disaster Management Research Institute)
Choi, Minha (School of Civil, Architecture Engineering & Landscape Architecture, Sungkyunkwan University)
Publication Information
Journal of Korea Water Resources Association / v.54, no.7, 2021 , pp. 535-544 More about this Journal
Abstract
Agricultural water occupies 48% of water demand, and management of agricultural reservoirs is essential for water resources management within agricultural basins. For more efficient use of agricultural water, monitoring the distribution of water resources in agricultural reservoirs and agricultural basins is required. Therefore, in this study, three threshold determination methods (i.e., fixed threshold, Otsu threshold, Kittler-Illingworth (KI) threshold) were compared to detect terrestrial water bodies using Sentinel-1 images for 3 years from 2018 to 2020. The purpose of this study was to evaluate methods for determining threshold values to more accurately estimate the reservoir area. In addition, by analyzing the relationship between the water surface and water storage at the Edong, Gosam, and Giheung reservoirs, water storage based on the SAR image was estimated and validated with observations. The thresholding method for detecting a waterbody was found to be the most accurate in the case of the KI threshold, and the water storage estimated by the KI threshold indicated a very high agreement (r = 0.9235, KGE' = 0.8691). Although the seasonal error characteristics were not observed, the problem of underestimation at high water levels may occur; the relationship between the water surface and the water storage could change rapidly. Therefore, it is necessary to understand the relationship between the water surface area and water storage through ground observation data for a more accurate estimation of water storage. If the use of SAR data through water resources satellites becomes possible in the future, based on the results of this study, it is judged that it will be beneficial for monitoring water storage and managing drought.
Keywords
Sentinel-1; SAR; Waterbody detection; Threshold; Reservoir storage;
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Times Cited By KSCI : 6  (Citation Analysis)
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