Land subsidence monitoring is very important for urban areas which are susceptible 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 is caused by groundwater over-exploitation and estimated to be more than 9 meters over the last century, resulting in damages to buildings, streets, sidewalks and other infrastructure.
Satellite radar interferometry (InSAR) allows to effectively monitor ground displacement over large areas, giving insight into the spatial distribution of the subsidence rates. Differential interferometric SAR covers range of methods varying in complexity and accuracy. Among them, Persistent Scatterer Interferometry (PSI) is a powerful technique able to measure and monitor displacements of the Earth’s surface over time with high accuracy from interferogram time-series.
StaMPS is a widely used powerful package which includes 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.
In this webinar, we will focus on how to prepare Sentinel-1 input data for StaMPS persistent scatterers processing, using SNAP and the SNAP2StaMPS routines developed by M. Foumelis, J. M. Delgado Blasco et al. (2018).
You can replay this webinar through our RUS Copernicus Training channel available on Youtube.
You can also retrieve the corresponding training support in the Learn by yourself section of the RUS portal.