Summary

A bathymetry survey from the Sea of Galilee is processed. This dataset is contaminated with non-gaussian noise in the form of spikes inside the lake. There is drift on the depth measurements leading to vessel tracks in the preliminary depth images. The drift comes from different seasonal and human conditions during the data acquisition, e.g., wind and water levels. I derive an inversion scheme that produces a much reduced noise map of the Sea of Galilee. This inversion scheme includes preconditioning and the Huber norm to eliminate the non-gaussian noise (Chapter ). The ship tracks are removed by adding a modeling operator inside the inversion (Chapter ) that accounts for the drift in the data. My images of the Sea of Galilee show ancient shorelines and inside the lake, rifting features.