Coal mine settlement monitoring and fully mechanized mining face parameter inversion based on Stacking InSAR
In order to further explore the detailed characteristics of subsidence in coal mining areas,this study takes a coal mining area in the northwest region as an actual case,and comprehensively applies the Stacking InSAR-based coal mining subsidence monitoring and comprehensive mining face parameter inversion method to monitor the subsidence characteristics of the mining area.Firstly,based on the Sentinel-1A satellite image data of the mining area,the effectiveness and feasibility of applying the Stacking InSAR method for modeling and calculation are determined.Secondly,after determining the applica-tion of Stacking InSAR method,the three typical subsidence areas of the target mining area were interpreted,and factors such as specific subsidence rate changes,subsidence amount characteristics,and seasonal variation characteristics were ana-lyzed to preliminarily clarify the subsidence patterns of each subsidence area and identify potential risk factors.Finally,the Okada uniform elastic half space rectangular dislocation model was further applied to invert the parameters of the fully mechanized mining face,in order to explore the amount of coal developed in the target mining area.The results show that the inversion results were more accurate,thus preliminarily proving that the research on coal mine settlement monitoring and fully mechanized mining face parameter inversion based on Stacking InSAR has certain practical application value.