Our subject in this research is an open pit mine under the jurisdiction of a district, and we have built a comprehensive supervision system for mining based on the remote sensing technology provided by an unmanned aerial vehicle (UAV) and the global navigation satellite system (GNSS). We used Phantom 4 as the data acquisition device in the open-pit mine to establish a real-scene 3D model of the mine. A 3D geographical fence was constructed by adding the spatial data of mineral rights. On the digital pedestal of a real-scene 3D model, one can achieve quantitative supervision through multi-temporal comparisons. The use of GNSS sensors enabled us to obtain positioning information and trajectory of the mine cars to achieve an automatic warning system. In addition, we simultaneously built a virtual teaching platform to simulate the entire process of mine supervision. Our research results show that the effective combination of UAV remote sensing technology and GNSS technology improves the integration of multi-source monitoring data and brings about significant breakthroughs in the field of the intelligent supervision of mines. The construction of a virtual simulation platform has been used to educate a large number of remote sensing technology application personnel and has value as a tool for teaching.