Drone technology is significantly being used in the infrastructure industry to boost efficiency and productivity. Unmanned airborne systems (UAS) have the potential to revolutionize the science and practice of remote sensing, and most particularly the utilization of Small-UAS enables a range of novel remote sensing capabilities ( Lippitt and Zhang, 2018). Therefore, compared to the traditional approach drone technology provides an accurate, cost-effective, fast, and safe working distance suitable for stockpile volumetric computations in open pit quarries. Both estimations are less than the maximum allowable percentage error of ± 3%. The drone percentage error to the actual volume is 2.6% while the traditional approach is 1.3%. The generated Pix4D quality report showed a root mean square error of 0.019. Findings show that the smaller the error of the checkpoints the more accurate the generated model making the measurements reliable. Drone-captured images are processed in Pix4D mapper software and geometric techniques are applied to the traditional survey approach. The methodology comprises using a drone and traditional survey approach to measure the volume of a known quarry stockpile. A mapping framework is proposed to guide mine personnel on how to conduct open-pit stockpile volumetric computations. Present study aims to fill the gaps by conducting a comparative analysis of stockpile volumetric computation utilizing a drone and traditional approach. Furthermore, time, cost, and safety have challenged the use of the traditional approach. 4Department of Land Surveying, Malawi University of Business and Applied Sciences, Blantyre, Malawiĭespite drones being successfully utilized for monitoring and detecting hazards in mines, there is limited research on their application for open-pit stockpile volumetric computation compared to traditional methods.3Department of Mining Engineering, Malawi University of Business and Applied Sciences, Blantyre, Malawi.2Department of Civil Engineering Science, Faculty of Engineering and the Built Environment, University of Johannesburg, Johannesburg, South Africa.1Centre for Applied Research and Innovation in the Built Environment (CARINBE), Faculty of Engineering and the Built Environment, University of Johannesburg, Johannesburg, South Africa.Jabulani Matsimbe 1,2,3*, Wisdom Mdolo 3, Charles Kapachika 4, Innocent Musonda 1 and Megersa Dinka 2
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