Abstract: To improve the accuracy and efficiency of terrain-level geographic scene construction in mining areas, this study integrates high-density LiDAR point cloud data and high-resolution aerial imagery to establish high-precision Digital Elevation Models (DEMs) and Digital Orthophoto Maps (DOMs). Based on the SuperMap platform, a terrain-level real-scene 3D model is efficiently generated. The research overcomes key technical challenges such as point cloud filtering in complex scenarios and multi-source data fusion, combining manual interaction with automated algorithms to optimize ground point classification and model details. The results demonstrate that the proposed method achieves fast production efficiency and high-precision terrain-level 3D models. These models support applications such as visual management of mining areas, optimization of mining plans, slope deformation monitoring, and ecological restoration planning, significantly enhancing intelligent mine management capabilities. The research outcomes exhibit technical universality, providing a high-precision 3D spatial foundation for the digital and green transformation of mining areas.