Application of Gray-Markov Model to Land Subsidence Monitoring of a Mining Area

Land subsidence monitoring in mining areas is one of the main applications surface deformation monitoring, which great significance for safety production. Using IPTA (Interferometric Point Target Analysis) time-series InSAR (Interferometry Synthetic Aperture Radar) method, land data from new exploration area Weizhou were analyzed and compared with static GPS (Global Positioning System) 2017–2020. Gray-Markov model was established by combining gray prediction Markov to predict area. The results show that (1) have high accuracy application potential long-term areas; (2) can better reflect volatility practicality (3) accuracy, serve as an effective guide management.