The vector data of mines in China obtained from remote sensing-based monitoring are characterized by wide coverage, high complexity, and high accuracy of area statistics. However, existing software suffers low calculation efficiency and low accuracy. This study proposed a solution based on the feature manipulation engine (FME) platform. This solution consists of the following steps. Firstly, the vector data of mines were divided into zones according to the locations of polygons and mineral rights. Secondly, the positions of the polygons relative to mineral rights were analyzed, obtaining four types of polygons, namely being separated from, containing, being contained in, and covering mineral rights. Finally, relevant area of mines was calculated, including the development area (KFZDMJ), the area covered by mining right (KQNMJ), and the area uncovered by mining right (KQWMJ) according to the types of relative position relationships. The solution was verified using the vector data of mines in a medium-sized province. According to the verification results, the solution proposed in this study can greatly improve calculation efficiency and accuracy and its operation is feasible and straightforward. The results show that the consistency checking of the map attributes can provide effective support for the compilation of remote sensing-based monitoring data of mines and can be widely applied.