Underground mine mapping Drone Guide

Underground mines are among the most complex environments in which surveying and inspection teams operate. Tunnels, stopes, shafts, drifts, crosscuts, chambers, ore passes, ventilation routes, loading areas, and abandoned workings can extend for many kilometres below the surface.

Maintaining accurate maps of these environments is essential for mine planning, production management, ventilation design, geological interpretation, infrastructure maintenance, emergency preparedness, and worker safety.

Traditional underground mine surveying relies on total stations, laser scanners, GNSS at the surface, handheld mapping systems, and specialist survey teams. These methods remain fundamental, but some underground areas can be difficult, slow, or hazardous to access.

Drone technology provides another option.

Specialist underground drones can operate without conventional satellite navigation and can carry LiDAR, visual cameras, thermal sensors, lighting systems, and navigation technology designed for GPS-denied environments. They can enter tunnels, stopes, cavities, shafts, and other spaces to collect three-dimensional information while reducing the need for personnel to physically enter every location.

For mining companies, surveyors, geotechnical teams, engineers, and mine planners, underground drone mapping is becoming an increasingly valuable component of digital mine management.

Why Underground Mapping Matters

An underground mine changes continuously.

New tunnels are developed, stopes are excavated, ore is removed, support systems are installed, and infrastructure is modified as mining progresses.

Accurate mapping allows mine planners to understand the current geometry of the workings.

This information influences production planning, equipment movement, ventilation, drainage, ground support, and future excavation.

If mapping is outdated or incomplete, mine planning becomes more difficult and operational risk can increase.

GPS-Denied Navigation

One of the biggest challenges underground is the absence of reliable GNSS signals.

Conventional drones commonly depend on satellite positioning for navigation and stability.

Underground drones instead use combinations of LiDAR, cameras, inertial sensors, visual odometry, and Simultaneous Localisation and Mapping, commonly known as SLAM.

These technologies allow the aircraft to estimate its position relative to the surrounding environment.

The drone effectively builds a map while using that same map to navigate.

LiDAR Mapping

LiDAR is one of the most important technologies for underground mine mapping.

The sensor emits laser pulses and measures the returned signals to create a three-dimensional point cloud.

As the drone moves through a tunnel or chamber, millions of measurements can be collected.

The resulting point cloud represents walls, floors, ceilings, structures, and other visible surfaces.

This information can be used to create detailed digital models of underground workings.

Simultaneous Localisation and Mapping

SLAM enables a drone to navigate through an environment without external positioning.

The system continuously compares incoming sensor information with previously observed features.

This allows the aircraft to estimate both its own movement and the geometry of the surrounding space.

SLAM is particularly valuable underground because tunnel environments can be narrow, dark, and geometrically repetitive.

High-quality sensor fusion is therefore essential for reliable mapping.

Stope Mapping

Stopes can contain large irregular cavities created during ore extraction.

These spaces may be difficult or unsafe for personnel to enter.

Drones can fly into suitable stopes and collect LiDAR or photogrammetric information.

The resulting three-dimensional model can help mine planners understand the shape and volume of the excavation.

This information can support production reconciliation and future planning.

Void Mapping

Underground mines can contain natural or man-made voids that are difficult to observe directly.

Specialist drones can inspect suitable cavities and generate three-dimensional models.

This can provide engineers with information about size, shape, orientation, and surrounding geometry.

Remote mapping is particularly valuable where direct human access is undesirable.

Shaft Inspections

Vertical shafts can be difficult to inspect because of their depth and restricted access.

Specialist drones can potentially travel through suitable sections while collecting imagery and LiDAR information.

They can document visible shaft walls, structures, services, and other infrastructure.

Operations require careful planning because confined vertical environments can create communications and recovery challenges.

Tunnel Mapping

Underground tunnels are one of the most common mapping environments.

A drone can travel through suitable drifts and crosscuts while collecting point-cloud data.

The resulting model can show tunnel geometry, intersections, ground conditions, and installed infrastructure.

Repeated surveys can keep the digital mine map current as development progresses.

Decline and Ramp Mapping

Declines and ramps provide vehicle access between underground levels.

Their geometry is important for truck movement, drainage, and mine planning.

Drone mapping can provide high-resolution three-dimensional information about these routes.

Point clouds can help planners understand gradients, widths, clearances, and visible surface conditions.

Ore Pass Inspections

Ore passes transport broken material between levels.

These structures can be difficult and potentially hazardous to inspect directly.

A specialist drone can collect imagery or LiDAR information from accessible sections.

The resulting data can help engineers understand visible geometry and identify areas requiring further investigation.

Specialist mining procedures remain necessary because ore-pass environments can be unstable.

Ventilation Infrastructure

Ventilation is critical to underground mine safety and productivity.

Drones can help map ventilation tunnels, raises, ducting, doors, and other visible infrastructure.

Accurate three-dimensional information can support mine ventilation models.

The drone does not replace airflow monitoring or ventilation engineering, but it can improve the geometric information used within those systems.

Ventilation Raise Mapping

Raises and vertical ventilation openings can be difficult to inspect manually.

Specialist drones can enter suitable spaces and collect three-dimensional information.

This can help teams understand internal geometry and identify visible changes.

The resulting model can support engineering analysis and maintenance planning.

Ground Support Inspections

Underground workings often contain bolts, mesh, shotcrete, steel sets, and other support systems.

High-resolution cameras can document visible support infrastructure.

LiDAR can provide geometric information about surrounding surfaces.

The drone can help identify areas that warrant closer geotechnical review.

It does not replace professional ground-control inspections or physical testing.

Rock Face Mapping

Freshly exposed rock faces provide valuable geological information.

Drones can photograph or scan these surfaces in high detail.

Three-dimensional models can support structural geology, fracture mapping, and digital geological records.

This can be particularly useful where faces are difficult to observe safely from the ground.

Geological Mapping

Underground drones can support geological teams by documenting rock structures, contacts, fractures, and other visible features.

High-resolution imagery provides visual information, while LiDAR adds geometric context.

These datasets can be integrated with borehole, assay, and geological model information.

The result is a more complete digital representation of underground geology.

Volume Measurement

Three-dimensional drone models can support volume calculations.

Stopes, stockpiles, excavations, and other underground spaces can be measured using appropriate survey methodology.

This can help mines compare planned excavation with actual excavation.

Volume information can also support production and reconciliation.

Overbreak and Underbreak Analysis

In underground development, the excavated profile does not always exactly match the design.

Drone or LiDAR data can be compared with planned geometry.

Areas where more rock has been removed than intended can be identified as overbreak, while areas where insufficient material has been removed can be identified as underbreak.

This information can support blasting and excavation performance analysis.

Blast Assessment

After an underground blast and once the area has been declared safe under established mine procedures, drones can help assess the resulting excavation.

Three-dimensional scans provide information about cavity shape and broken material.

The data can be compared with the planned design.

This can support operational improvement without requiring personnel to immediately enter every newly blasted area.

Abandoned Workings

Old or abandoned mine workings can be poorly documented and hazardous.

Specialist drones can provide remote mapping where access conditions allow.

LiDAR and visual information can help engineers understand the geometry of historical tunnels and chambers.

This information can support redevelopment, remediation, exploration, or safety planning.

Flooded or Partially Flooded Areas

Some underground mine sections may contain standing water or flooding.

Aerial drones can inspect areas above the water where sufficient space exists.

For submerged sections, uncrewed underwater vehicles may be more appropriate.

Combining aerial and underwater robotics can provide a more complete understanding of complex mine environments.

Thermal Imaging

Thermal cameras provide additional information in underground environments.

They measure surface-temperature differences and may support inspections of machinery, electrical equipment, ventilation systems, and certain environmental conditions.

Thermal imagery should be interpreted carefully because temperature patterns can have multiple causes.

It is most useful when combined with conventional imagery and engineering information.

Underground Infrastructure Inspection

A mine contains extensive infrastructure beyond the rock itself.

Drones can support inspections of suitable visible:

• Pipelines
• Cables
• Ventilation systems
• Pumps
• Electrical equipment
• Conveyor structures
• Lighting
• Communications equipment
• Ground support

A single underground flight can therefore support both mapping and infrastructure monitoring.

Conveyor Tunnel Inspections

Some underground mines use extensive conveyor systems.

Drones can inspect suitable sections of conveyor tunnels during appropriately controlled operations.

High-resolution imagery can document structural components and surrounding infrastructure.

Thermal sensors may provide supplementary information about certain equipment.

Detailed mechanical inspection still requires maintenance personnel and proper isolation procedures.

Drainage and Water Management

Underground mines depend on effective drainage and pumping.

Drone mapping can document visible channels, sumps, water accumulation, and surrounding geometry.

Three-dimensional models can help engineers understand how water moves through an area.

This information can support broader mine water-management programmes.

Emergency Response Mapping

Accurate underground maps are extremely valuable during emergencies.

If access becomes restricted following a collapse, flooding, fire, or other event, specialised drones may provide remote information from suitable areas.

They can help emergency teams understand current conditions without immediately exposing personnel.

Emergency operations should always remain under the control of mine rescue and incident-management procedures.

Mine Rescue Support

Drones can support mine rescue teams by providing imagery, thermal information, or mapping in suitable accessible areas.

The aircraft can help teams understand tunnel geometry, obstructions, and environmental conditions.

Communications range, dust, smoke, heat, and confined spaces can limit effectiveness.

The drone should therefore complement established rescue equipment and specialist rescue procedures.

Dust and Visibility Challenges

Underground mining environments can contain significant dust.

Dust can reduce image quality and interfere with optical sensors.

LiDAR may also be affected by airborne particles under certain conditions.

Lighting systems must therefore be appropriate for the environment.

Flight planning may also need to account for periods when dust levels are lower.

Communications Underground

Radio communications can be difficult underground.

Rock walls, tunnel geometry, and distance can significantly reduce signal range.

Some specialist drones operate with mesh communications, relay nodes, tethered links, or high levels of autonomy.

Communications design is one of the most important factors in successful underground drone deployment.

Collision-Tolerant Drones

Confined underground spaces create a high probability of contact with walls or structures.

Some specialist aircraft use protective cages around the propellers and body.

These designs allow the drone to tolerate minor collisions and continue operating.

They are particularly useful in narrow tunnels, chambers, and confined inspection areas.

Autonomous Navigation

As underground drones become more advanced, autonomous navigation is becoming increasingly important.

Instead of requiring the operator to manually control every movement, the drone can use LiDAR and onboard computing to avoid obstacles and navigate through suitable spaces.

Autonomy can help when communications are intermittent.

The aircraft can continue a predefined mission and return when conditions allow.

Artificial Intelligence

Artificial intelligence can help analyse underground drone data.

AI systems can assist with identifying tunnels, infrastructure, rock surfaces, visible changes, and potential areas of interest.

Computer vision can also help organise inspection imagery and compare current surveys with previous data.

For very large mines, automation can significantly reduce the amount of data that surveyors and engineers must review manually.

Point Cloud Processing

Underground LiDAR surveys can generate enormous point clouds.

Processing software cleans, aligns, and organises this information.

The resulting dataset can be converted into meshes, sections, profiles, and three-dimensional mine models.

Surveyors can extract measurements and integrate the information with existing mine-planning systems.

Mine Planning Software Integration

Drone mapping becomes much more valuable when it integrates directly with mine-planning software.

Point clouds and three-dimensional models can be imported into geological, survey, and mine-design platforms.

Planners can compare actual excavations with planned geometry.

Updated information can then influence future development and production decisions.

Digital Twins

Digital twins can provide continuously updated virtual representations of underground mines.

Drone LiDAR, survey information, geological models, infrastructure data, and operational information can all contribute.

As new tunnels are developed, the digital twin can be updated.

Selecting a tunnel or stope within the model could display current geometry, inspection imagery, and historical information.

This creates a powerful platform for long-term mine management.

Repeatable Mapping

One of the strongest advantages of drones is the ability to repeat surveys.

A development area can be mapped before excavation, after blasting, and after support installation.

Comparing the datasets provides a clear record of how the mine changes.

Consistent mapping also improves the quality of digital mine models.

Safety Benefits

Underground mining contains environments where personnel exposure should be minimised where possible.

Unsupported ground, recently blasted areas, confined spaces, abandoned workings, and unstable voids can all create risk.

Drones allow information to be collected remotely in suitable situations.

They do not remove the need for ground inspections, but they can reduce unnecessary entry during initial assessment.

Benefits of Underground Mine Mapping Drones

Underground mapping drones provide several important advantages. They can collect three-dimensional information without relying on GNSS and can enter areas that may be difficult for survey crews to access.

LiDAR and SLAM allow detailed mapping of tunnels, stopes, shafts, raises, and voids. High-resolution imagery provides additional geological and infrastructure information.

Repeated surveys support production reconciliation, overbreak analysis, mine planning, emergency preparedness, and digital-twin development.

The strongest advantage is that the drone can provide information from locations where obtaining the same data manually would be slower, more expensive, or less desirable from a safety perspective.

Challenges and Limitations

Underground drone operations remain technically demanding.

GNSS is unavailable.

Communications can be unreliable.

Dust, darkness, water, narrow passages, and complex geometry can affect sensors and navigation.

Battery endurance limits mission length.

Retrieving a drone following a technical failure can also be difficult.

LiDAR and SLAM accuracy depend on the environment, sensor quality, processing, and survey methodology.

Where survey-grade measurements are required, appropriate control and validation remain essential.

The Future of Underground Mine Mapping

Underground drone technology is likely to become increasingly autonomous.

Future aircraft will navigate complex mine environments with less direct pilot input.

Improved SLAM, LiDAR, edge computing, and AI will allow drones to build maps in near real time.

Mesh communications could extend operational range.

Permanent underground docking stations may eventually allow drones to conduct scheduled inspection and mapping missions.

Ground robots and aerial drones could work together, with drones surveying upper voids and robots inspecting lower or confined areas.

All information could feed into a continuously updated digital mine twin.

This would move underground mapping from periodic surveys towards increasingly continuous spatial awareness.

Conclusion

Underground mine mapping is one of the most technically advanced applications for drone technology.

Mines contain tunnels, stopes, shafts, raises, voids, infrastructure, and geological features that can be difficult to survey efficiently using conventional methods alone.

Specialist drones equipped with LiDAR, cameras, lighting, SLAM, and autonomous navigation can collect detailed three-dimensional information without relying on satellite positioning.

They can support tunnel mapping, stope measurement, void inspection, blast assessment, geological mapping, infrastructure inspection, and emergency response.

Artificial intelligence, point-cloud processing, mine-planning integration, and digital twins can further increase the value of these datasets.

Drones do not replace professional mine surveyors, geotechnical engineers, rescue teams, or established safety procedures. Instead, they provide these specialists with another method of collecting information from difficult or potentially hazardous underground environments.

For mining companies, survey teams, geotechnical specialists, mine planners, and engineering organisations, underground mapping drones can provide a safer, faster, and increasingly digital approach to understanding the constantly changing geometry of modern mines.