LiDAR & point clouds
Dense LiDAR returns that see through canopy and clutter, classified to ground and above so the geometry underneath is actually usable.
- Point density
- 50–400 pts/m²
- Format
- .LAS / .LAZ
- Vertical accuracy
- ±2–5 cm RMSE
- Classification
- Ground / vegetation / building
Dense returns that see through canopy, classified to ground and above.
Classified point cloud (.LAS/.LAZ)
Returns separated into ground, vegetation and building classes, not a raw undifferentiated cloud.
Bare-earth DTM
Ground-class points interpolated into a bare-earth surface, usable under canopy where photogrammetry can't see.
Intensity & RGB colourisation
Returns coloured by intensity or fused with concurrent imagery, depending on what the analysis needs.
No surprises between quote and handover.
- 01
Sensor & density planning
Point density and flight lines are set by canopy density and the smallest feature that has to resolve — a drainage line needs a different plan than a building footprint.
Flight plan · target density - 02
Capture
Overlapping swaths flown with GNSS/IMU-tagged returns and ground control for the trajectory solution.
Raw trajectory + returns - 03
Classification
Returns are classified — ground, vegetation, building, noise — and checked against control before the DTM is built.
Classified LAS/LAZ - 04
Derivative products & QC
DTM/DSM, contours or cross-sections generated as needed and checked against independent check points.
DTM/DSM · QC report
Who this is for
- Forestry
- Power & utilities
- Infrastructure & rail
- Water resources
Questions worth answering upfront.
- Can LiDAR really see through tree canopy?
- Some laser pulses find gaps in the canopy and return from the ground beneath — enough of them, across a dense enough scan, to build a genuine bare-earth surface that photogrammetry (which only sees the canopy top) can't produce.
- LAS or LAZ — does it matter which we get?
- LAZ is a lossless compressed form of the same LAS data, usually a fifth of the file size. We deliver whichever your pipeline expects, or both.
- What point density do we actually need?
- Depends on the feature size: broad terrain modelling works at lower density; power-line conductor mapping or narrow drainage features need a denser scan. We size it to the deliverable, not sell density for its own sake.
