USING MODERN DRONE TECHNOLOGY IN THE MINING OF RARE EARTH ORES
DOI:
https://doi.org/10.55640/Keywords:
Rare earth metals, drone technologies, mining exploration, hyperspectral imaging, LiDAR sensors, ore mapping, environmental safety, mineral resources.Abstract
The application of modern drone technologies in the mining of rare earth metals (REEM) ores is revolutionizing the mining industry. This article examines the application of drones in the exploration, mapping and mining of REEM ores. Drones equipped with hyperspectral cameras, LiDAR sensors and magnetometers provide faster, safer and more cost-effective results compared to traditional methods. Results and discussions are presented based on a literature review and methodology. As a result, proposals are made to optimize the extraction of REEM ores using drone technologies and reduce environmental impact.
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References
1.Bozorgebrahimi, A., & Turner, A. (2024). Identifying Rare Earth Elements Using a Tripod and Drone-Mounted Hyperspectral Camera. MDPI Remote Sensing Journal, 16(17), 3353. https://www.mdpi.com/2072-4292/16/17/3353
2.Jackisch, R., Madriz, Y., Zimmermann, R., et al. (2020). Drone-Based Surveys of Mineral Deposits. Nature Reviews Earth & Environment, 1(3), 145-157. https://www.nature.com/articles/s43017-020-0042-1
3.Lorenz, S., Jackisch, R., & Zimmermann, R. (2023). Hyperspectral Drone-Based Imaging for Rare Earth Element Exploration. Proceedings of the International Geoscience and Remote Sensing Symposium (IGARSS 2023), 125-130.
4.Turner, A., & Bozorgnebrahimi, A. (2024). Drone-Mounted LiDAR and Magnetometry for Rare Earth Mapping at Mountain Pass. Society of Economic Geologists (SEG) Annual Conference Proceedings, 45-50.
5.Madriz, Y., & Gloaguen, R. (2022). UAV-Based Hyperspectral Imaging for Mineral Exploration in Carbonatite Complexes. European Geosciences Union (EGU) General Assembly, 78-82.
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