Application of UAV remote sensing combined with gravity anomaly model in mine elevation calculation

UAV remote sensing technology has been extensively applied in mining operations, providing high-resolution data support for tasks such as ore volume calculation and slope monitoring. However, traditional leveling methods in elevation measurement suffer from limitations like error accumulation and high costs. Although higher-order gravity anomaly models can address these issues, their effectiveness is constrained by traditional refinement methods' poor performance in complex terrains and areas with sparse control points. To tackle this, this study collected high-precision GNSS leveling points around mining areas, refined the EGM2008 model for two mines, and analyzed the accuracy of elevation anomalies and error distribution characteristics. The findings ultimately provide technical references for applying higher-order gravity anomaly models in regional mining engineering.