Thermal Drone Surveys for Underground Mine Fire Detection

An underground mine fire rarely announces itself. Coal seam fires, spontaneous combustion in stockpiles, and overheating equipment in confined mine workings often develop for days or weeks before any visible sign, smoke, smell, or discoloration reaches the surface. By the time a fire becomes visible, it has usually been burning long enough that containment is far more difficult, and far more expensive, than it would have been at an earlier stage.
Thermal drone surveys close this detection gap. By measuring surface and near-surface temperature variations that are invisible to the eye, thermal imaging can flag developing fire and heat risk before it becomes a visible, uncontrolled problem. This is increasingly why mining operations dealing with coal seams, sulfide-bearing ore, or large stockpiles are building thermal survey programmes into their standard safety and operational routine.
Why Underground and Stockpile Fires Are So Hard to Catch Early
Underground coal fires typically start from spontaneous combustion, a chemical oxidation process where coal reacts with oxygen and generates heat, in some conditions faster than that heat can dissipate. Under the right combination of coal reactivity, oxygen exposure, and insulation, this self-sustaining heating process can continue for an extended period before reaching a temperature that produces visible smoke or surface changes.
The same underlying process affects large coal or sulfide-bearing stockpiles above ground, where a stockpile's own mass acts as insulation, trapping heat generated deep inside the pile long before any surface indication appears. A stockpile can be actively heating internally while its exterior looks completely normal to a visual inspection.
Manual detection methods rely almost entirely on these visible cues: smoke, unusual odor, or surface subsidence, all of which are late-stage indicators. By the time any of these appear, the underlying heat source has typically been active for a meaningful period, and the fire, if it is one, is already established rather than developing.
How Thermal Imaging Actually Detects These Risks
A thermal sensor doesn't capture visible light the way a normal camera does. It measures infrared radiation, the heat energy every surface emits based on its temperature, and converts that into a temperature map where every pixel represents the measured surface temperature at that exact location.
This means a thermal drone survey doesn't need to see smoke, discoloration, or any visible sign of a problem at all. It measures temperature directly. A zone of a stockpile or an area of ground above a working seam that's running hotter than its surroundings shows up clearly on a thermal map as a distinct hotspot, regardless of whether that heat has produced any visible surface change yet.
Flying this survey with a drone rather than a handheld thermal camera adds two practical advantages. First, coverage: a drone can thermally scan an entire stockpile or a large surface area above underground workings in a single flight, something a handheld camera walking across the same area would take considerably longer to cover with any real thoroughness. Second, consistency: repeat drone surveys, flown the same way each time, produce genuinely comparable thermal data over time, which is what makes tracking a developing hotspot, rather than just detecting a single snapshot, actually possible.
What Underground and Surface Fire Risks This Detects
Coal seam and underground fire indicators show up as elevated ground surface temperatures directly above a heating zone, since heat from below gradually conducts upward even before any visible surface disturbance occurs. Regular thermal surveys of ground surface above active or abandoned underground workings can flag this kind of developing heat anomaly at a stage where it's still a monitoring and investigation issue rather than an active fire.
Stockpile spontaneous combustion is one of the most direct and commonly monitored applications of thermal drone surveys in mining. A stockpile showing a hotspot several degrees above the surrounding pile temperature is a clear signal that internal heating is underway, giving operations teams time to intervene, whether that's compacting the area to reduce oxygen infiltration, relocating material, or applying other standard mitigation measures, before the situation escalates.
Equipment overheating detection extends the same principle to machinery and electrical infrastructure operating in and around mine workings. Motors, conveyor bearings, and electrical connections generate detectable heat signatures well before a failure becomes visible or audible, and a thermal survey covering operational equipment areas can flag developing mechanical or electrical issues as part of the same monitoring programme.
Building a Thermal Survey Programme
A single thermal flight provides a useful snapshot, but the real value of this technology comes from a structured, repeated survey programme rather than an occasional check. For active stockpiles, particularly those holding coal or other combustion-prone material, regular thermal surveys, weekly or more frequently depending on stockpile turnover and risk profile, build a temperature history for each pile that makes it possible to spot a developing hotspot early, while it's still a small, localized anomaly rather than an established heat source.
For ground surface monitoring above underground workings, survey frequency is typically set based on known risk factors: coal seam depth, historical fire incidents in the area, and the specific mining method in use. Areas with elevated risk factors justify more frequent monitoring, while lower-risk areas can be surveyed on a longer interval as part of routine site monitoring.
Each survey should be processed into a georeferenced thermal map that can be directly compared against previous surveys of the same area. This is what turns a single thermal image into an actual monitoring record, showing whether a given zone's temperature is stable, rising, or falling over successive surveys, rather than just showing a static heat reading with no context for whether it represents a new development or a longstanding, already-managed condition.
The Commercial and Risk Case for Regular Thermal Monitoring
The financial argument for thermal fire detection is straightforward once the alternative is considered directly. An undetected underground or stockpile fire, once established, is dramatically more expensive and disruptive to address than an early-stage heat anomaly caught through regular monitoring. Containment of an active fire can require extended production shutdowns in the affected area, specialized firefighting or sealing operations, and in serious cases, permanent loss of access to reserves in the affected zone.
Beyond direct containment costs, an active mine fire carries regulatory reporting obligations, safety incident consequences, and, depending on severity, reputational and insurance implications that a proactively managed heat anomaly never triggers. Insurance underwriters covering mining operations increasingly view a documented, regular thermal monitoring programme as a materially different risk profile than a site relying solely on visual inspection, since it demonstrates active risk management rather than reactive response.
There's also a straightforward operational efficiency angle. Stockpile fires that go undetected long enough to require emergency intervention typically result in material loss, either from the fire itself or from the emergency measures needed to extinguish it, on top of whatever safety and regulatory costs follow. Catching the same heat buildup at an early stage, while it's still a monitoring and mitigation issue, avoids essentially all of this downstream cost.
What a Thermal Survey Cannot Replace
Thermal drone surveys are a detection and monitoring tool, not a substitute for a mine's broader fire prevention and safety protocols. They identify where heat anomalies exist and how they're trending over time, information that safety and operations teams then act on through established investigation and mitigation procedures. A thermal survey showing a developing hotspot still requires the same on-ground assessment and response process a mine would already have in place for any fire risk indicator, the difference is that thermal monitoring surfaces that risk earlier than visual or manual methods typically would.
It's also worth being clear that thermal imaging measures surface and near-surface temperature. For underground fires at meaningful depth, ground surface temperature elevation is an indirect indicator that depends on heat conducting upward through the overlying material, which takes time. This means thermal surface monitoring is most effective as an early warning layer within a broader monitoring approach, rather than the only method relied on for deep underground fire detection specifically.
Interpreting a Thermal Survey Result
A thermal map on its own shows a range of surface temperatures across the survey area, typically displayed as a colour gradient from cooler to hotter zones. The absolute temperature reading matters less than the relative difference between a given zone and its immediate surroundings, since ambient conditions, time of day, and material type all affect baseline surface temperature independent of any developing fire risk.
This is why a single thermal flight is harder to interpret in isolation than a pair or series of surveys taken under similar conditions and compared against each other. A zone reading several degrees above the surrounding stockpile surface, consistently, across more than one survey, is a meaningfully different signal than a single warm reading that could simply reflect that section of the pile catching more direct sun exposure earlier in the day. Flying surveys at a consistent time of day, and ideally under similar weather conditions, removes much of this ambiguity and makes genuine anomalies easier to distinguish from ordinary environmental variation.
Combining Thermal Data with Other Survey Layers
Thermal imaging is most useful when read alongside other data collected during the same flight or survey programme, rather than treated as a single, standalone measurement. RGB imagery captured in the same flight gives visual context for a thermal hotspot, whether it corresponds to a section of freshly dumped material, a compacted older section of the pile, or a specific piece of equipment, information that shapes how that hotspot should be investigated and addressed.
For underground fire risk specifically, combining thermal ground surface data with terrain and subsidence monitoring, tracking small changes in surface elevation over time using photogrammetry or LiDAR, adds a second, independent indicator. A ground surface area showing both elevated temperature and subtle subsidence over successive surveys is a considerably stronger signal of an active underground heating process than either indicator would be on its own, since subsidence often accompanies the material changes that occur as underground combustion progresses.
This layered approach, thermal for heat detection, RGB for visual context, and terrain monitoring for underground risk specifically, gives a more complete risk picture than any single sensor type would provide alone, without requiring separate flights or separate survey programmes for each data type.
Getting Started
Mining operations looking to establish thermal fire detection typically start with their highest-risk stockpiles, coal or other combustion-prone material held in large volumes, running an initial baseline thermal survey and then establishing a regular monitoring interval from there. For underground fire risk, a baseline survey of ground surface above known or historically active seam areas provides the starting reference point that future surveys are then compared against.
If fire risk detection, whether in stockpiles, underground workings, or operational equipment, is something your site currently relies on visual inspection alone to manage, get in touch with our team to discuss what a thermal survey programme would look like for your operation.




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