Daily Reservoir Water Level Reconstruction Under Sparse Observations Using Multisource Remote Sensing With Deep Learning and Data Assimilation
Daily reservoir water level reconstruction remains challenging when satellite observations are sparse and temporally irregular. This study proposes a framework integrating multisource remote sensing, gated recurrent unit (GRU) priors, and ensemble Kalman filtering/smoothing (EnKF/EnKS), using the Fengtan Reservoir as a...