An optimal combination of a hydrological model and PSI to estimate land subsidence driven by piezometric level changes

In this work a novel methodology for the estimation of land subsidence is proposed. PSI methods assume an almost linear behavior which may not fit well in particular scenarios, for instance those induced by piezometric level changes. In order to overcome some limitations of the classical methods, in this study we analyze the ability of a dynamic approach in such a context. In particular, the approach is based on the combination of a hydrological model and InSAR PSI data to describe the subsidence as a process of a dynamic system. A simple subsidence model related to piezometric level changes is employed to derive the methodology. The estimation process is conducted by a Kalman Filter. The evaluation over simulated and real data shows the capabilities of this approach.