Improved Lake Level Estimation From Radar Altimeter Using an Automatic Multiscale-Based Peak Detection Retracker

Satellite radar altimetry is an important technique for monitoring the water levels of oceans and inland bodies, especially in areas where in-situ data are sparse or nonexistent. This study presented automatic multiscale-based peak detection retracker (AMPDR). The can extract a robust threshold level each track, then stable lake be obtained from multipeak waveforms using shortest-path algorithm. Additionally, used mountain lakes flat lakes, also suitable many kinds data, such as those Cryosat-2, Sentinel-3, Jason-2/3. To validate derived by AMPDR retracker, gauge seven Tibetan Plateau two area used. Moreover, existing retrackers compared to evaluate performance proposed retracker. results suggest that efficiently process complex waveforms, has lowest mean all track standard deviations over lakes. root-mean-squared error (RMSE) time series several lakes: RMSEs overpassed Jason-2/3 0.149, 0.139, 0.181 m, respectively. easy implement, computationally efficient, give height estimate even most contaminated waveforms.