We have a current project looking at the 2010 Haiti earthquake using geodetic remote sensing. In particular, we aim to reconcile vertical deformation rates from geologic and geodetic indicators. Results from the study will be used to constrain fault geometry and slip rates, vertical land motion, and long-term hazard from earthquakes and sea level rise.

We are using InSAR and GNSS to constrain slip during the 2017/18 slow-slip event and associated earthquakes. Our results indicate that the event likely released only a fraction of the accumulated moment deficit on the fault, and that it transferred stress to nearby locked asperities.

Microwave signals from SAR satellites traveling through the atmosphere are delayed by the troposphere and the ionosphere. Spatial and temporal variations in pressure, temperature, and relative humidity, mainly in the lower part of the troposphere, result in a spatially varying tropospheric delay, which can be 15 cm of apparent deformation. We are working on new methods to estimate and remove the troposphere noise to improve InSAR estimates of ground deformation. We are working on developing a new tropospheric correction package for Python called RAiDER.