A Multi-Temporal Small Baseline Interferometry Procedure Applied to Mining-Induced Deformation Monitoring

This work addresses a methodology based on the interferometric synthetic aperture radar (InSAR) applied to analyze and monitor ground-motion phenomena induced by underground mining activities in Legnica-Glogow copper district, south-western Poland. The adopted technique employs an InSAR processing chain that exploits stack of Sentinel-1 (SAR) images using small baseline multitemporal approach. Interferograms with temporal baselines are first selected, then their network is optimized reduced eliminate noisy data, order mitigate effect decorrelation sources related seasonal phenomena, i.e., snow vegetation growth, acquisition geometry. atmospheric disturbance mitigated spatio-temporal filter nonequispaced fast Fourier transform. estimated displacement maps time series show both linear impulsive ground motion validated against global navigation satellite system (GNSS) measurements. In this context, significant threat built environment represented seismic tremors triggered activities, which analyzed proposed method integrate information gathered situ seismometer devices.