Fully Automatic Persistent Scatterer Interferometry Processing Framework Using Snap, Stamps and High Performance Computing

As an effective tool to investigate time-series of ground de-formation resulting from human activities or natural disas-ters, persistent scatterer (PS) interferometry requires a large amount of computing resources especially for continuous rou-tine monitoring over large areas. Powered by open-source software packages including the SentiNel Application Plat-form (SNAP) from ESA and the Stanford Method of Persis-tent Scatterer (StaMPS), a fully automatic PS-InSAR frame-work is built to process large-volume Sentinel-I data. The processing time is reduced tremendously with the paralleliz-able procedures in the end-to-end processing pipeline boosted by High Performance Computing (HPC) clusters. Embedding in the web GIS developed in CRISP, the framework also provides interfaces in browsers to visualize the resulting defor-mation time-series and ground displacement rate maps. The automatic framework executable in HPC also enables routine monitoring of ground subsidence over major cities in South-east Asia.