SBAS InSAR Subsidence Monitoring for Mining Areas Based on Levelling Constraints

Abstract

SBAS-InSAR technology has been widely researched and applied in the large-scale monitoring of mining areas, but due to the influence of spatial and temporal discorrelation, atmospheric delay and noise on the deformation results, as well as the requirements on image quantity, quality and spatial continuity, the SBAS-InSAR technology inferior to the levelling monitoring results in terms of measurement accuracy and reliability. Taking the Yuncheng coal mine as the research area, and after using SBAS InSAR to monitor the subsidence, the levelling monitoring data was used as the constraint to construct the subsidence error surface by polynomial surface fitting, and then the SBAS-InSAR subsidence monitoring results were be corrected. The experimental results show that the settlement difference is better than ±50mm/a, which effectively improves the overall accuracy of SBAS-InSAR settlement monitoring. The experimental results verify the feasibility and effectiveness of using the level monitoring results to correct the deformation monitoring results of SBAS InSAR, and provide effective reference information for improving the accuracy of the deformation monitoring results by multi-source fusion processing.