Mining Subsidence Prediction Parameter Inversion by Combining GNSS and DInSAR Deformation Measurements

Line of Sight (LOS) deformation based on Differential Interferometric Synthetic Aperture Radar (DInSAR) techniques cannot be used in traditional probability integration method (PIM) parameter inversion. To improve the accuracy inversion, a model 3D was proposed. The simulates using PIM directly. inverse Sum Squared Errors (SSE) results and measured as fitting function within GA. Reliable parameters can obtained this GA model. identify surface movement law Jinfeng coal mine, 6 Global Navigation Satellite System (GNSS) monitor points were established over 011207 011809 working panels. Due to limited number large distance between points, it is not sufficient obtain reliable GNSS only. As complement, 83 Sentinel-1A images analyzed with small baseline subset (SBAS) DInSAR, LOS direction obtained. calculated inversion combination GNSS-monitored deformation. Then, those predict mine panels 011809, which demonstrated that prediction coincide results. study laws mining subsidence combined DInSAR GNSS, reduce requirements impact radar decoherence. This provides new technical approach for studying research.