UAV technology is being applied for DSM generation in open-pit mines with a well-established fact that the precision of such DSM is improved by increasing the number of Ground Control Points (GCPs). However, DSMs are updated frequently in an open-pit mine where the surface is excavated continuously. This imposes a challenge to arrange and maintain the GCPs in the field. Therefore, an optimal number of GCPs should be determined to obtain sufficiently accurate DSMs while maintaining safety, time, and cost-effectiveness in the project. This study investigates the influence of the numbers of GCPs and their network configuration in the Long Son quarry, Vietnam. The analysis involved DSMs generated from eight cases with a total of 18 GCPs and each having five network configurations. The inter-case and intra-case accuracy of DSMs is assessed based on RMSEXY, RMSEZ, and RMSEXYZ. The results show that for a small- or medium-sized open-pit mine having an area of approximately 36 hectares, five GCPs are sufficient to achieve an overall accuracy of less than 10 cm. It is further shown that the optimal choice of the number of GCPs for DSM generation in such a mining site is seven due to a significant improvement in accuracy (<3.5 cm) and a decrease in configuration dependency compared to the five GCPs.
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