The presented research aimed to analyse the ground movements caused by mining-induced seismicity. The ground displacements were established based on data from Sentinel 1 satellites applying differential interferometric synthetic aperture radar (DInSAR). The results of the investigation revealed that the observed subsidence usually has the shape of a regular ellipse. Furthermore, the deformations of the surface occur when the energy of mining-induced tremor reaches values of the order of 10⁵ J.

The purpose of the current paper and relevant project is to investigate on the applicability of remote sensing technology, and in particular Interferometric Synthetic aperture radar (InSar), on sinkhole hazard identification, through monitoring of ground subsidence.

The present research is aimed at a critical analysis of a method presently used for evaluating failure hazard in linear objects in mining areas. A fuzzy model of failure hazard of a linear object was created on the basis of the experience gathered so far. The rules of Mamdani fuzzy model have been used in the analyses. Finally the scaled model was integrated with a Geographic Information System (GIS), which was used to evaluate failure hazard in a water pipeline in a mining area.