The Use of Aerial Drone Technology for Landslide Investigation in Nickel Mining PT. KLM
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Published
Nov 11, 2025
Abstract
This study explores the use of drone technology to assess landslides within PT. KLM’s nickel mining area. Key challenges in collecting geotechnical data include difficult terrain, landslide risks, and limitations of conventional survey methods. The research applies the Six Sigma DMAIC (Define, Measure, Analyze, Improve, Control) approach to identify issues, collect and analyze drone data, and develop solutions to reduce landslide risks. Drone flights were conducted at altitudes of 100 m, 150 m, and 200 m, producing maps that evaluate each flight's image resolution, collision risk, photo coverage, flight area, and suitability. Based on these results, the 150 m altitude was selected as optimal. Using Real Time Kinematic (RTK) processing, the drone data showed an average accuracy variance of about 0.317 meters. Findings indicate that drone data effectively produces high-resolution orthophotos, contour maps, and 3D models to monitor terrain changes before and after landslides. Overall, drone technology improves efficiency, enhances safety, and increases data quality for better landslide risk management in nickel mining.
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References
Colomina, I. and Molina, P. (2014) ‘Unmanned aerial systems for photogrammetry and remote sensing: A review’, ISPRS Journal of Photogrammetry and Remote Sensing, 92, pp. 79–97.
Casagli, N., Frodella, W., Morelli, S., Tofani, V., Ciampalini, A., Intrieri, E., Raspini, F., Rossi, G. & Tanteri, L. (2017) ‘Spaceborne, UAV and ground-based remote sensing techniques for landslide mapping, monitoring and early warning’, Geoenvironmental Disasters, 4(1), pp. 1–23.
DJI (2023) DJI Mavic 3 Enterprise Series Product Manual. Shenzhen: DJI.
Duncan, J.M. and Wright, S.G. (2014) Soil Strength and Slope Stability. 2nd edn. Hoboken: John Wiley & Sons.
Fathani, T.F. and Karnawati, D. (2021) ‘Landslide hazard and risk assessment in tropical mining areas’, Natural Hazards, 107(1), pp. 1225–1245.
Fiorucci, F., Giordan, D., Santangelo, M., Dutto, F. and Allasia, P. (2019) ‘A UAV-based approach for landslide mapping and monitoring’, Natural Hazards and Earth System Sciences, 19(2), pp. 323–343.
George, M.L., Rowlands, D., Price, M. and Maxey, J. (2004) The Lean Six Sigma Pocket Toolbook. New York: McGraw-Hill.
Gülci, S., Kalkan, K., Akay, A. & Toksoy, D. (2022) ‘Opportunities and challenges of UAVs in forestry and mining’, Journal of Environmental Management, 307, p. 114571.
International Energy Agency (IEA) (2022) The Role of Critical Minerals in Clean Energy Transitions. Paris: IEA.
KEPMEN ESDM 1827. (2018). Keputusan Menteri Energi dan Sumber Daya Mineral Nomor 1827 K/30/MEM/2018 Tentang Pedoman Pelaksanaan Kaidah Teknik Pertambangan yang Baik. https://jdih.esdm.go.id/peraturan/Keputusan Menteri ESDM Nomor 1827 K 30 MEM 2018.pdf.
Lucieer, A., de Jong, S.M. and Turner, D. (2014) ‘Mapping landslide displacements using Structure from Motion (SfM) and drone data’, Remote Sensing of Environment, 150, pp. 93–104.
Nex, F. and Remondino, F. (2014) ‘UAV for 3D mapping applications: A review’, Applied Geomatics, 6(1), pp. 1–15.
Niethammer, U., James, M.R., Rothmund, S., Travelletti, J. and Joswig, M. (2012) ‘UAV-based remote sensing of landslides’, International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 39(B1), pp. 1–6.
Peppa, M.V., Hall, J., Mills, J.P. & Smith, M.W. (2019) ‘UAV-derived datasets for landslide monitoring: case study from the UK’, Remote Sensing, 11(6), p. 1432.
Rahardjo, H., Santoso, V.A. and Leong, E.C. (2019) ‘Slope stability issues in residual soils of tropical regions’, Engineering Geology, 249, pp. 170–185.
Salamí, E., Barrado, C. and Pastor, E. (2014) ‘UAV flight experiments applied to the remote sensing of vegetated areas’, Remote Sensing, 6(11), pp. 11051–11081.
Sari, A.P., Widodo, B. and Nugroho, A. (2022) ‘ESG challenges in Indonesia’s coal mining industry’, Journal of Sustainable Mining, 21(3), pp. 125–134.
Turner, D., Lucieer, A. and Watson, C. (2015) ‘An automated technique for generating landslide inventories from drone imagery’, Remote Sensing, 7(6), pp. 6737–6757.
World Bank (2023) Commodity Markets Outlook: The Impact of Energy Transition on Metals and Minerals. Washington DC: World Bank.