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Analysis of Mine Change Using 3D Spatial Information Based on Drone Image

Author

Listed:
  • Doo-Pyo Kim

    (Department of Civil Engineering, Donga University, Busan 49315, Korea)

  • Sung-Bo Kim

    (Department of Drone and Spatial Information Engineering, Youngsan University, Yangsan 50510, Korea)

  • Ki-Suk Back

    (Department of Civil Engineering, Donga University, Busan 49315, Korea)

Abstract

Mine development requires continuous management because it causes rapid topographic changes and environmental damage. Drones can be used to produce three-dimensional spatial information by quickly and accurately photographing areas that are difficult or dangerous for humans to approach. In this study, we investigated the possibility of using drone photogrammetry for determining changes and recovery in mines. The accuracy of the drone photogrammetry results was analyzed using checkpoints, and the earthwork volume was calculated and compared with that obtained through a field survey. We determined whether the results were consistent with the mountain recovery plan using drone images. The RMSE was 0.085–0.091 m in the plane and 0.121–0.128 m along the elevation, as determined by analyzing the checkpoint accuracy by creating an orthoimage and a digital surface model based on the drone images; these results satisfy the tolerance range of the 1/1000 digital map descriptions. The drone photogrammetry generated an average error of 11.9% using the conventional measurement method. The possibility of use was proved by confirming the vegetation and rock prevention nets using photographed images. The usability of drone photogrammetry in mines is expected to increase if substantial spatial information is produced and analyzed in the future.

Suggested Citation

  • Doo-Pyo Kim & Sung-Bo Kim & Ki-Suk Back, 2022. "Analysis of Mine Change Using 3D Spatial Information Based on Drone Image," Sustainability, MDPI, vol. 14(6), pages 1-15, March.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:6:p:3433-:d:771580
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    Cited by:

    1. Meihong Zhi & Yun Zhu & Ji-Cheng Jang & Shuxiao Wang & Pen-Chi Chiang & Chuang Su & Shenglun Liang & Ying Li & Yingzhi Yuan, 2023. "Analysis of Storage Capacity Change and Dam Failure Risk for Tailings Ponds Using WebGIS-Based UAV 3D Image," Sustainability, MDPI, vol. 15(19), pages 1-18, September.

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