
Power Network Analysis
Identify vegetation encroachment threatening electricity infrastructure, measure power pole and tower lean angles, identify power line sag, and check conductor height.

High-precision laser scanning for accurate terrain modelling and infrastructure digitisation

Light detection and ranging (LiDAR) employs pulsed laser technology to measure distances. National Drones integrates this with drone hardware to produce precise 2D maps and scale-accurate 3D models. The technology generates millions of 3D points per second, combining to form rich three-dimensional representations of target objects or areas. Using Inertial Measurement Units (IMU) and GNSS receivers, each data point becomes georeferenced.

Unlike aerial photogrammetry, LiDAR penetrates dense vegetation, enabling accurate Digital Terrain Models (DTM) for areas partially or fully covered by trees. Ground-level readings become possible where traditional survey methods struggle, making it essential for forestry, environmental, and infrastructure projects.

Point cloud data maps entire cities, assesses infrastructure, and verifies tolerances between planned and as-built construction drawings. Data streams through a browser-accessible cloud platform, eliminating on-site infrastructure needs and enabling stakeholder sharing across your organisation.
Power network analytics
National Drones can capture or ingest a suitable powerline LiDAR corridor, process and classify the point cloud, then deliver reviewable network and vegetation evidence in SmartData. A scoped engagement can include pole locations and lean, conductor geometry, height context, vegetation classification and fuel-screening indicators.
Scope a powerline LiDAR corridor
Pole locations and lean in the source corridor
Detected structures, lean labels, conductor geometry and screening markers remain connected to the original RGB point cloud for visual review.

Height context for terrain and vegetation
Colour-by-height makes the relationship between structures, conductors, terrain and surrounding vegetation easier to inspect.

Ground, vegetation, conductors and structures separated
Classification turns the source point cloud into usable network layers for corridor review and downstream analytics.

Identify vegetation encroachment threatening electricity infrastructure, measure power pole and tower lean angles, identify power line sag, and check conductor height.

Unlike photogrammetry, LiDAR captures data in low or no-light conditions. The system mounts to either drones for wide-area coverage or vehicles for corridor scanning.

Produce accurate DTMs for areas covered by vegetation where traditional aerial photography cannot reach the ground surface.

Vehicle-mounted LiDAR for roads, rail corridors, and linear infrastructure with continuous high-resolution data capture.

Verify tolerances between planned and as-built construction drawings with millimetre-precision point cloud data.

Data streams through a browser-accessible cloud platform, eliminating on-site infrastructure needs and enabling remote stakeholder access.
See how we have delivered for clients across Australia.

Infrastructure Engineering
National Drones conducted comprehensive bridge inspections for Aurecon and Snowy Hydro, capturing high-resolution LiDAR and photogrammetry data across 38 bridges in NSW and ACT.

Rail Infrastructure
National Drones and Aurecon inspected 3,818 rail assets across Sydney's network using drone photogrammetry and LiDAR, covering 438 kilometres of rail corridor.
Tell us about your project and we'll send you a tailored proposal — most quotes are turned around within 24 hours.