Water Level Estimation Using Sentinel-1 Synthetic Aperture Radar Imagery And Digital Elevation Models
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Hydropower dams and reservoirs have been identified as major factors that are redefining hydrological cycles. Monitoring the information of water in reservoirs helps in planning and managing water resources as well as drought and flood forecasting by anomaly detection. In this paper, we utilize the high-resolution Sentinel-1 dataset together with Digital Elevation Model datasets to monitor reservoirs' water levels. We proposed a novel water level extracting method achieving an error of under a meter.
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