LiDAR measures true three-dimensional clearance distance between conductors and vegetation, while visual inspection only estimates proximity from images.

Conductor sag is the downward curve a power line takes between towers, which increases with electrical load and ambient temperature.

LiDAR classifies vegetation points near the corridor and calculates their precise distance to conductors, flagging any location below the safety clearance threshold.

Yes, a single continuous drone flight can capture kilometers of corridor data in one pass, far faster than ground-based inspection crews.

Vegetation growing too close to conductors can cause arcing or direct contact, both leading causes of outages and fire ignition risk near transmission lines.

Yes, higher conductor temperatures increase sag, reducing clearance, so accurate inspection models must account for worst-case temperature and load conditions.

Inspection frequency depends on vegetation growth rates and regulatory requirements, though many utilities schedule periodic LiDAR surveys as part of ongoing maintenance programs.

Yes, extracted clearance data can feed directly into vegetation management systems, helping utilities prioritize trimming crews based on actual encroachment risk.

Properly verified LiDAR data with checkpoint accuracy documentation is widely used to support regulatory vegetation clearance compliance reporting.

Typical deliverables include classified point cloud data, extracted conductor models, and a clearance report flagging specific encroachment locations along the corridor.