Land subsidence monitoring is very important for urban areas which are prone to ground instabilities at both local and regional scale. This phenomenon can occur from either anthropogenic activities or natural-geological ones. In Mexico City, land subsidence, caused by groundwater over-exploitation, is estimated to be more than 9 meters over the last century, resulting in damages to buildings, streets, sidewalks and other infrastructure.
Differential interferometric SAR (DInSAR) covers a range of methods, varying in complexity and accuracy, to effectively monitor ground displacement over large areas and give insight into the spatial distribution of the subsidence rates. Among them, Persistent Scatterer Interferometry (PSI) is a powerful technique based on interferogram time-series to measure and monitor displacements of the Earth’s surface over time and with high accuracy.
In this webinar, we will use the data already pre-processed during the former one held in December 2020 about Data preparation for StaMPS PSI processing with SNAP, and we will derive the deformation velocity timeseries using the Persistent Scatterer Interferometry method implemented in the StaMPS software, developed by Hooper et al. (2012). StaMPS is a widely used powerful package including persistent scatterer methods, among others. It is compatible with the TRAIN software and therefore allows to incorporate various tropospheric correction methods in the processing workflow.
You can replay this webinar through our RUS Copernicus Training channel available on Youtube.
You can also retrieve the corresponding training support in the Train with RUS section of the RUS portal.