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Added: May 25, 20252025-05-25T16:58:55-04:00 2025-05-25T16:58:55-04:00In: Mining Technology Solutions

What role do drones and photogrammetry play in high-resolution slope mapping and change detection?

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Drones (Unmanned Aerial Vehicles or UAVs) and photogrammetry are pivotal technologies for high-resolution stope mapping and change detection in open-pit mining, significantly enhancing safety and operational oversight.

Drones conduct aerial surveys to track mining progress, calculate stockpiles, and perform visual inspections of equipment and machinery, thereby minimizing direct human exposure to hazardous zones.

This drone technology is particularly valuable for inspecting areas deemed unsafe for human entry, providing critical data without putting personnel at risk (Flyability, n.d.).

Photogrammetry, specifically UAV close-range photogrammetry, is a key application for detecting changes in dump slopes and monitoring displacements with high precision (Scilit, n.d.).

These remote sensing methods offer large-scale, non-intrusive monitoring capabilities, which are essential for the early detection of potential hazards and effective risk mitigation in the dynamic environment of open-pit mines.

While these technologies provide extensive coverage, their effectiveness can sometimes be limited by environmental factors or the frequency of data acquisition.

Consequently, integrating drones and photogrammetry with other monitoring systems is often recommended to create comprehensive and robust slope stability frameworks, ensuring continuous and accurate assessment of ground movement (Scilit, n.d.).

This integrated approach supports proactive interventions, contributing to overall mine safety and efficiency.

Why are drones and photogrammetry becoming essential tools in monitoring mine slopes? Share your insights!

References:
Flyability. (n.d.). Mining Tools. https://www.flyability.com/blog/mining-tools
Scilit. (n.d.). Slope Stability Monitoring Methods and Technologies for Open-Pit Mining: A Systematic Review. https://www.scilit.com/publications/7ca1eb9532dad598395d3372fc7a1d05
Video rights: @drone2GIS (YouTube)
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