Lightning damage inspection Drone Guide

# Lightning Damage Inspection Drone Guide for Wind Energy

Lightning damage inspection is a highly valuable drone application in the wind-energy sector because wind turbines are among the tallest structures in open landscapes and offshore environments. Their height, exposed location and rotating blades make lightning protection a critical part of turbine design and maintenance.

Modern turbines are designed with lightning receptors, conductors and grounding systems intended to channel strike energy safely through the structure. Even so, lightning can still cause visible and hidden damage to blade surfaces, receptors, protective coatings, composite materials, nacelle components and electrical systems.

Drones provide a fast way to inspect a turbine after a confirmed or suspected lightning event. High-resolution RGB cameras can document burn marks, punctures, surface cracking, coating loss, receptor damage and other visible abnormalities. Thermal imaging may support selected assessments, while historical imagery makes it possible to determine whether a defect appeared after the strike.

The strongest inspection workflow combines drone imagery with lightning-detection data, turbine SCADA information, condition-monitoring systems, maintenance history and engineering review. Drones should not replace blade technicians, electrical specialists, lightning-protection testing or non-destructive inspection. Their role is to rapidly identify visible evidence and direct more detailed investigation toward the areas most likely to have been affected.

Why Lightning Inspection Matters

Lightning strikes are not unusual in the wind industry.

A turbine may experience several lightning events during its operating life.

Most strikes are handled successfully by the lightning-protection system, but some events can still damage components.

The cost of missing a developing blade defect can be significant.

Small visible damage may progress under aerodynamic loading.

Regular inspection therefore helps identify issues before they become larger repairs.

How Lightning Interacts with Wind Turbines

The turbine's lightning-protection system is designed to provide a controlled path for electrical current.

On the blade, lightning receptors typically provide preferred strike locations.

Conductors then route the current through the blade toward the hub and tower.

The current eventually passes through the structure toward the grounding system.

A defect anywhere along this path may increase the risk of uncontrolled current movement.

Lightning Receptors

Lightning receptors are one of the first inspection targets.

They are positioned along blade surfaces or near blade tips depending on design.

A direct strike may leave visible pitting, burning or surrounding surface damage.

High-resolution drone imagery can document these areas without requiring immediate rope access.

Functional continuity must still be tested separately.

Receptor Surface Damage

A receptor may show signs of repeated strike activity.

Visible pitting or discolouration may develop.

The surrounding protective coating may also deteriorate.

Drones can create a clear record of these changes.

Repair decisions should remain with the turbine manufacturer or qualified blade specialist.

Missing Receptors

A receptor may rarely become damaged or lost.

Drone imagery can help determine whether the component is visibly present.

This can be particularly useful after a severe strike event.

A missing or damaged receptor should prompt a detailed maintenance assessment.

Blade Tip Lightning Damage

Blade tips are common lightning interaction areas.

They are also exposed to high aerodynamic forces.

A strike may create visible burn marks, punctures or missing material.

Drones can capture close imagery from several angles.

This helps engineers understand the extent of visible external damage.

Surface Burn Marks

Burn marks are among the clearest indicators of a lightning event.

They may appear as dark discolouration or damaged coating.

The mark can be georeferenced to a specific blade section.

Historical comparison helps determine whether the feature is new.

Not every dark surface mark is caused by lightning, so expert review remains necessary.

Puncture Damage

Lightning may create small puncture points in blade surfaces.

These may be difficult to detect from a distance.

Optical zoom and high-resolution sensors improve detection.

Very small punctures can still remain below image resolution.

Close inspection may therefore be required even when drone imagery appears normal.

Composite Surface Damage

Wind turbine blades are typically composite structures.

Lightning may affect coatings, laminates or bonding.

Some damage is externally visible.

Other damage can remain beneath the surface.

A drone should therefore be treated as a visual screening platform.

Internal composite condition usually requires specialist inspection.

Delamination Risk

Electrical energy and heat can contribute to internal material separation.

This may not create an obvious external defect.

Surface bulging, discolouration or cracking may sometimes indicate a problem.

Such indicators should trigger further inspection.

The drone cannot reliably confirm internal delamination by RGB imagery alone.

Trailing-Edge Damage

Lightning-related effects are not limited to the strike point.

Damage may appear elsewhere along the blade.

The trailing edge should therefore be included in the inspection.

Cracking or separation can be documented.

The full blade should be reviewed rather than only the visible burn mark.

Leading-Edge Inspection

The leading edge should also be inspected after suspected lightning damage.

Existing rain erosion can make interpretation more difficult.

A lightning-related defect may overlap with long-term surface wear.

Historical imagery becomes particularly useful in these circumstances.

Blade Root Inspection

The blade root forms part of the path toward the hub.

External surfaces and surrounding areas should be reviewed.

Visible burn marks or unusual cracking can be documented.

Internal lightning-conductor connections require direct inspection.

Hub Inspection

The hub can also be affected indirectly.

External covers and visible surfaces can be photographed.

Signs of heat, burning or physical damage may be identified.

Internal hub components require conventional technical inspection.

Spinner Inspection

The spinner surrounds the hub and is exposed to the external environment.

Drone imagery can document panels, seams and surfaces.

Visible strike marks or damage can be flagged.

The spinner should be included in a comprehensive post-lightning survey.

Nacelle Inspection

Lightning can also affect external equipment on the nacelle.

Anemometers, wind vanes, aviation lights and communication systems are exposed.

The nacelle roof is difficult to inspect from the ground.

A drone provides direct visual access.

Visible damage can then be compared with turbine alarms.

Nacelle Roof Damage

Burning, punctures or damaged covers may appear on upper surfaces.

These areas should be photographed systematically.

Water ingress becomes a concern if external panels are compromised.

Maintenance teams can use the imagery to prioritise access.

Anemometer Damage

Anemometers may experience electrical or physical damage.

The drone can document whether the component appears intact.

Bent or missing parts may be visible.

Functional accuracy must still be verified through the turbine-control system.

Wind Vane Damage

Wind vanes can also be affected.

External damage may be obvious.

The drone provides a quick visual check.

Operational performance should be confirmed separately.

Aviation Light Damage

Aviation lights are positioned in exposed locations.

A lightning event may damage housings or electrical systems.

Drone inspection can document the external fixture.

Functionality should be confirmed through the turbine's electrical system.

External Communication Equipment

Antennas and other communication equipment may be mounted on the nacelle.

A strike may damage these systems directly or indirectly.

The drone can inspect visible external condition.

Operational testing remains necessary.

Tower Inspection After Lightning

The tower forms part of the current path toward ground.

Although it is designed to conduct safely, external damage should still be reviewed.

Drones can inspect the full circumference.

Burn marks, coating damage or unusual staining may be identified.

Tower Coating Damage

Electrical arcing or related effects can damage protective coating.

A drone can document visible areas of coating loss.

These locations may require maintenance to prevent corrosion.

Historical imagery helps establish whether the defect is recent.

Tower Surface Arcing Indicators

Visible marks may sometimes suggest unexpected electrical discharge.

These should be documented carefully.

Their significance should be interpreted by electrical and structural specialists.

The drone provides evidence but not electrical diagnosis.

Tower Joint Inspection

Joints and external connection areas should be visually reviewed.

No visual defect may be present even after a significant strike.

The inspection therefore supports rather than replaces electrical continuity testing.

Foundation Area Inspection

The foundation and surrounding ground may also be included.

Visible cracking or disturbed soil can be documented.

Grounding components are normally below ground and cannot be assessed visually.

The grounding system requires dedicated testing.

Grounding System Limitations

A drone cannot verify grounding resistance or electrical continuity.

These functions require appropriate instruments.

This is one of the clearest limitations of aerial inspection.

The drone can only document visible components and surrounding condition.

Lightning Protection System Inspection

A complete lightning-protection system includes more than the visible receptor.

Internal conductors, bonding and grounding all matter.

Drone inspection is strongest at the external end of this system.

Visible abnormalities can indicate where technical testing should focus.

Post-Strike Inspection Workflow

A good post-lightning workflow begins with confirmation that a lightning event occurred.

Lightning-detection data can identify approximate strike time and location.

SCADA alarms can show how the turbine responded.

The drone then provides visual evidence.

Engineering teams combine these datasets before deciding on next steps.

Lightning Detection Network Integration

Commercial lightning-detection networks can provide strike information.

The data may include time and location.

This helps determine which turbines require immediate attention.

The drone team does not need to inspect every turbine equally.

This improves inspection efficiency.

Strike Proximity Analysis

Not every lightning event detected near a wind farm necessarily struck a turbine.

Location uncertainty must be considered.

The data should therefore be used as a prioritisation tool.

Visual inspection and turbine-system information provide additional evidence.

SCADA Integration

SCADA records may show shutdowns or unusual behaviour around the time of the lightning event.

This helps engineers identify potentially affected systems.

A drone can then inspect the exterior.

The strongest assessment combines operational and visual information.

Condition Monitoring Integration

Vibration and temperature monitoring may detect abnormalities after a strike.

These signals can help determine whether closer mechanical inspection is needed.

The drone adds external context.

Neither system should be interpreted in isolation.

Turbine Alarm Review

Electrical or control alarms following a strike may indicate affected components.

Maintenance teams can review these before the drone mission.

This allows the flight to focus on relevant areas.

The inspection becomes more targeted.

Immediate Post-Strike Inspection

Where operationally appropriate, an inspection may be conducted shortly after the event.

This can identify obvious damage quickly.

Weather conditions must first be safe.

Lightning activity should have ended before flight.

The aircraft should not be deployed into an active thunderstorm.

Delayed Detailed Inspection

Some operators may perform a rapid initial screening followed by a detailed inspection.

The first flight identifies major concerns.

A second mission captures closer imagery.

This layered approach can reduce downtime while preserving inspection quality.

Fleet-Wide Lightning Assessment

Large wind farms may experience a storm affecting several turbines.

Lightning data can rank turbines by likely exposure.

Drones can then inspect the highest-priority assets first.

This is much more efficient than completing the same detailed inspection on every turbine.

Offshore Lightning Inspection

Offshore turbines experience significant lightning exposure.

Drone inspection can reduce unnecessary technician transfer.

The aircraft may launch from a service operation vessel or offshore station.

Weather, wind and helicopter activity require careful coordination.

Onshore Lightning Inspection

Onshore wind farms generally provide easier access.

Drones still offer a major advantage by avoiding unnecessary climbs.

The full turbine can be screened quickly.

Roads and substations can also be included if the storm caused wider damage.

Storm-Wide Assessment

Lightning rarely occurs in isolation from weather.

High wind, hail and heavy rain may affect the same turbine.

The drone inspection should therefore look for broader storm damage.

This provides a more complete assessment.

Post-Thunderstorm Blade Survey

A systematic blade survey can be carried out after a severe thunderstorm.

Each blade should be captured from root to tip.

Known receptor areas receive particular attention.

Consistency is important for future comparison.

Stopped-Rotor Inspection

Detailed lightning inspection is generally most effective with the rotor stopped.

The operator can position blades for inspection.

This allows repeatable imagery.

The turbine operating state must be controlled by the responsible wind-farm team.

Blade Positioning

Each blade can be moved into a standard inspection position.

This improves repeatability.

The same orientation can be used during future surveys.

Image comparison becomes much easier.

Full-Blade Inspection

The entire blade should be inspected even if a strike point is already known.

Lightning may create secondary damage.

The visible strike location does not necessarily represent the full affected area.

A complete survey provides stronger evidence.

Close Visual Inspection

The drone may conduct closer passes around suspected damage.

Optical zoom can often provide equivalent detail from a greater distance.

Safe stand-off is especially important around large turbine structures.

Image quality should never override operational safety.

RGB Imaging

High-resolution RGB cameras are the main sensor for lightning damage inspection.

They provide colour and surface detail.

Burn marks, cracks and damaged coatings may be visible.

Good lighting improves defect detection.

Consistent image quality is essential for comparison.

Optical Zoom

Zoom cameras are particularly useful for blade inspection.

The aircraft can remain at a safer distance.

Small surface features remain visible.

High magnification requires strong stabilisation.

The sensor should be validated against the smallest defect that needs to be detected.

Thermal Imaging

Thermal imaging may provide additional information under selected conditions.

Differences in material or moisture may produce temperature patterns.

However, thermal interpretation on composite blades is complex.

Sunlight, wind and blade orientation all affect results.

Thermal inspection should be treated as supplementary.

Infrared Screening of Suspected Damage

A known defect area may be examined thermally.

This could help identify an unusual surface response.

The result should not be interpreted as proof of internal damage.

Specialist non-destructive testing remains necessary where internal integrity is in question.

Photogrammetry

Photogrammetry may create a three-dimensional representation of the blade.

Suspected damage can be linked to an exact location.

Thin reflective blade surfaces can be challenging to reconstruct.

The method should be validated for the intended purpose.

3D Defect Mapping

A 3D blade model allows defects to be recorded spatially.

Engineers can see where the damage sits relative to the blade tip, receptors and leading edge.

This improves maintenance planning.

Measurement accuracy should be reported clearly.

LiDAR

LiDAR is less commonly used for fine lightning defect detection.

It may still contribute to geometric inspection.

Large deformation could potentially be documented.

Surface burns and small cracks are generally better captured with RGB imagery.

RTK and PPK

Accurate positioning improves repeatability.

The drone can return to similar inspection locations.

Defects can be georeferenced more consistently.

This is particularly useful across large wind portfolios.

High-Resolution Image Organisation

A single turbine can generate hundreds or thousands of images.

The dataset should be organised by turbine, blade and blade section.

This makes engineering review more efficient.

Automated inspection platforms can assist with this structure.

Blade Section Referencing

Defects should be described using a consistent coordinate or blade-section system.

This helps repair teams locate them later.

Images alone may be difficult to interpret from the ground.

Structured location information improves usability.

AI Lightning Damage Detection

Computer vision can review imagery for features associated with lightning strikes.

Burn marks, punctures and coating damage may be highlighted.

This reduces manual review workload.

AI results should always be validated by experienced inspectors.

AI Burn Mark Detection

Dark or discoloured surface features can be identified automatically.

However, dirt, shadows and rain marks may create false positives.

Historical comparison improves confidence.

The system should provide prioritisation rather than final diagnosis.

AI Puncture Detection

Small punctures are more difficult.

Detection performance depends strongly on resolution.

AI cannot detect a feature that the camera has not resolved.

Image quality therefore remains fundamental.

AI Receptor Inspection

AI may help locate receptor areas and compare them with previous surveys.

Visible changes can be highlighted automatically.

This is useful across large fleets.

Human inspection remains necessary where changes are suspected.

AI Crack Detection

Computer vision can assist with surface crack identification.

Shadows and erosion lines may resemble cracks.

The model should be validated on turbine-blade imagery.

Final interpretation should remain with blade specialists.

AI Change Detection

Change detection is particularly powerful for lightning inspection.

Pre-strike and post-strike imagery can be compared.

New defects can be identified more efficiently.

Consistent flight paths and blade positions improve results substantially.

AI Severity Prioritisation

Software may rank findings by apparent severity.

This helps engineering teams review urgent cases first.

Automated severity should not be treated as a replacement for structural assessment.

It is best used as a workflow tool.

Historical Image Comparison

Historical imagery is one of the most valuable datasets.

A dark mark visible after a storm may already have existed.

Previous inspections clarify this immediately.

This reduces unnecessary maintenance investigation.

Baseline Inspection

A baseline drone inspection should ideally be completed before problems occur.

This establishes initial blade condition.

Future lightning events can then be compared against a known reference.

Baseline data becomes more valuable over time.

Commissioning Baseline

New turbines can be documented at commissioning.

Blade surfaces, receptors and nacelle components are recorded.

This helps distinguish later operational damage from installation or transport defects.

Post-Repair Baseline

After a lightning repair, the repaired area should be photographed.

This creates a new reference condition.

Future inspections can monitor performance.

Repair documentation and imagery should remain linked.

Recurring Inspection

Lightning inspection is not only event-driven.

Routine blade inspections may identify older strike damage.

This is useful if a strike was not detected or reported.

Combining scheduled and event-triggered inspections provides stronger coverage.

Automated Lightning-Triggered Missions

A future inspection system could respond automatically to lightning data.

A strike is detected near a turbine.

The system checks weather and turbine status.

Once conditions are suitable, the drone performs a predefined inspection.

Engineers then receive the imagery remotely.

Drone-in-a-Box

Drone stations can support rapid post-strike inspection.

The aircraft remains at or near the wind farm.

It can launch without waiting for an external inspection team.

This is especially valuable for remote sites.

Offshore Drone Stations

Offshore substations may eventually host inspection drones.

A lightning event can trigger a local mission.

The aircraft inspects nearby turbines.

This could substantially reduce response time for offshore farms.

Weather-Triggered Inspection

Lightning can be combined with other weather thresholds.

A severe thunderstorm may trigger a broader inspection.

The drone checks blades, nacelles and surrounding infrastructure.

This makes the inspection programme more comprehensive.

SCADA-Triggered Inspection

A turbine shutdown immediately following lightning may trigger inspection.

The system prioritises the affected asset.

This avoids waiting for a scheduled inspection cycle.

The drone provides rapid external evidence.

Remote Engineering Review

Drone imagery can be transmitted to engineering teams anywhere.

This is valuable for turbine manufacturers and specialist blade engineers.

Experts can review suspected damage without travelling immediately to site.

Only confirmed cases require physical intervention.

Manufacturer Support

Some blade defects require manufacturer-specific interpretation.

High-quality imagery can be shared with the OEM.

The manufacturer may advise whether closer inspection is required.

This can shorten the diagnostic process.

Maintenance Planning

Once damage is confirmed, imagery helps plan the repair.

Technicians know which blade and area require work.

The correct equipment and materials can be prepared.

This reduces uncertainty during mobilisation.

Rope Access Prioritisation

Rope-access teams are expensive and exposed to work-at-height risk.

Drone inspection can determine which turbines genuinely require them.

The specialist team then focuses on confirmed concerns.

This is a major operational benefit.

Repair Scope Estimation

Visible damage dimensions can sometimes be estimated from calibrated imagery.

This may help prepare repair materials.

Engineering-grade measurements require appropriate validation.

Very small defects should not be measured casually from ordinary photographs.

Insurance Documentation

Lightning-related damage may form part of an insurance claim.

Drone imagery provides timestamped visual evidence.

Historical imagery may show that the defect appeared after the storm.

This can support the claims process.

Formal claim requirements still depend on the insurer.

Warranty Documentation

Lightning-related damage may involve questions about blade design, protection systems or maintenance.

Drone imagery provides objective documentation.

The findings can be shared with manufacturers.

Warranty decisions still depend on contract terms and technical investigation.

Root Cause Investigation

Drone data may contribute to a larger investigation.

Strike data, imagery, maintenance history and electrical testing can be combined.

The drone provides the external visual component.

Root cause should not be determined from imagery alone.

Repeat Strike Monitoring

Some turbines or blade areas may experience repeated lightning activity.

Historical imagery helps track cumulative damage.

This may influence maintenance strategy.

Lightning records can be analysed alongside physical condition.

Lightning Density Mapping

Operators can analyse which parts of a wind farm experience the highest lightning activity.

Inspection resources can be prioritised accordingly.

This is particularly useful across large portfolios.

The mapping supports risk-based maintenance.

Turbine Age and Lightning Risk

Older blades may already contain erosion or repairs.

Lightning damage can interact with these existing conditions.

Historical inspection becomes increasingly important as turbines age.

A new mark should be evaluated in context.

Repaired Blade Inspection

Previously repaired sections may need special attention after lightning.

The drone can inspect these areas closely.

Historical repair records should be available to the reviewer.

This supports condition-based assessment.

Offshore Weather Challenges

Offshore lightning inspections face strong wind and sea spray.

The aircraft may not be able to fly immediately after the storm.

Weather windows should be monitored carefully.

The inspection should begin only when flight is safe.

Onshore Weather Challenges

Onshore farms may also experience gusts and heavy rain after thunderstorms.

Wet blade surfaces can reduce image quality.

Delayed inspection under better lighting may provide stronger evidence.

A rapid broad survey can be followed by a detailed mission.

Wind Around Turbines

Large turbines create complex airflow.

The drone should maintain appropriate stand-off.

Strong winds can make close inspection unsafe.

Optical zoom reduces the need for very close operation.

Rain and Wet Surfaces

Water on blades may resemble dark damage.

This can create false interpretation.

Images should be reviewed with awareness of surface conditions.

Dry follow-up imagery may be necessary.

Lighting Conditions

Burn marks may be easier or harder to see depending on sunlight.

Strong reflections can obscure surfaces.

Different viewing angles can help.

Consistent lighting improves historical comparison.

Blade Colour and Defect Visibility

Most turbine blades have light-coloured surfaces.

This can make dark burn marks relatively easy to detect.

However, dirt and erosion may create similar features.

Inspection should therefore rely on pattern, location and historical evidence rather than colour alone.

Small Defect Limitations

The drone's ability to detect damage is limited by camera resolution and distance.

A very small puncture may remain invisible.

This is important when evaluating a turbine after a known severe strike.

A visually clean drone inspection does not necessarily prove the blade has no internal damage.

Internal Damage Limitations

Internal composite damage is the largest limitation.

Electrical energy may affect areas beneath the surface.

Ultrasound, thermography, tap testing or other NDT methods may be required depending on the blade and defect.

Drone imagery is the first layer, not the final layer.

Electrical Testing Requirements

Lightning-protection continuity requires specialist electrical testing.

A drone cannot determine whether the internal conductor remains functional.

This should be made clear in inspection reports.

Visual and electrical inspection answer different questions.

Grounding Testing

Grounding resistance and continuity also require dedicated testing.

The ground system may look normal while electrical performance has changed.

The drone cannot assess this.

The complete lightning-protection system therefore needs multidisciplinary inspection.

Blade Technician Review

Experienced blade technicians can distinguish many types of visible defect.

Drone imagery should be reviewed by people familiar with composite structures.

This reduces misclassification.

AI can support but should not replace this expertise.

Benefits of Drone-Based Lightning Damage Inspection

The main benefit is speed.

A suspected lightning strike can be investigated without immediately sending technicians up the turbine.

The drone provides a complete visual record.

Multiple turbines can be screened efficiently after a storm.

Historical comparison helps identify genuinely new damage.

Reduced Work at Height

Technicians do not need to climb every turbine after lightning activity.

The drone performs the first visual assessment.

Physical access is reserved for turbines showing concerns or requiring electrical testing.

This reduces unnecessary exposure.

Reduced Downtime

Rapid inspection can help determine whether detailed maintenance is required.

The turbine may not need to remain unavailable while waiting for a rope-access team simply to obtain visual information.

Actual return-to-service decisions remain with the responsible engineering team.

Faster Fleet Screening

One thunderstorm may affect an entire wind farm.

Drones can screen multiple turbines.

Lightning data identifies the highest-priority assets.

This allows maintenance teams to focus resources where they are most needed.

Better Repair Planning

Defect imagery shows the exact location.

Repair teams know where access is required.

Materials and tools can be prepared beforehand.

This can reduce time spent on the turbine.

Improved Documentation

The inspection produces a permanent visual record.

This is useful for engineering, insurance and warranty discussions.

Repeat imagery also creates valuable long-term blade history.

Better Condition-Based Maintenance

Lightning data, SCADA and drone inspection can be combined into a risk-based maintenance programme.

Turbines with no indicators may remain on normal schedules.

Higher-risk assets receive more detailed inspection.

This is more efficient than treating every turbine identically.

Challenges and Limitations

Lightning damage inspection with drones has important limitations.

Some damage is internal.

Very small punctures may be invisible.

Thermal results can be difficult to interpret.

Electrical continuity and grounding cannot be tested remotely by visual drones.

High wind may delay inspection.

Wet surfaces can create false visual indications.

Drones should therefore be combined with electrical testing, blade expertise and NDT where required.

The Future of Lightning Damage Inspection

The future of lightning inspection will be increasingly automated and event-driven.

Lightning-detection systems will identify probable strikes in real time.

SCADA will record how each turbine responded.

Condition-monitoring systems will identify unusual vibration or temperature.

Automated drones will inspect affected blades as soon as conditions are safe.

AI will compare the new imagery with the previous inspection and highlight newly appearing damage.

Digital turbine twins will store every strike, inspection, defect and repair.

Maintenance systems will automatically create follow-up tasks for verified findings.

Offshore substations and service vessels may host autonomous drones that can inspect turbines without waiting for technicians to travel from shore.

The result will be a connected lightning-response system in which lightning data, turbine sensors, autonomous drones, AI and engineering expertise work together to identify potential damage quickly and direct specialist inspection only where it is required.

Conclusion

Lightning damage inspection is a strong drone application for wind energy because turbines are highly exposed to lightning and many visible strike indicators occur on areas that are difficult to inspect from the ground.

Drones can inspect lightning receptors, blade tips, leading edges, trailing edges, blade roots, hubs, spinners, nacelles and tower surfaces. High-resolution RGB cameras can document burn marks, punctures, surface cracking, coating damage and visible changes, while thermal imaging may provide additional screening information in selected conditions.

The greatest value comes from combining the drone inspection with lightning-detection data, turbine SCADA, condition-monitoring systems, historical imagery and specialist engineering review.

Drones should not replace electrical continuity testing, lightning-protection testing, blade technicians or non-destructive inspection. Their role is to provide fast, repeatable and highly detailed visual evidence that helps wind-farm operators identify suspected lightning damage earlier, prioritise turbines for further inspection, reduce unnecessary work at height and improve maintenance response following severe weather events.