Aerial LiDAR processing. Not photogrammetry.
Classification, terrain modeling, and infrastructure documentation from LiDAR-derived aerial datasets. We process LiDAR point clouds only, terrestrial or aerial. We do not process photogrammetric (drone photo) data, and we don't pretend otherwise.
Format
LAS / LAZ
Output
DTM / DSM, classification
Software
LiDAR pipeline only
Method
Laser returns, not photos
Aerial LiDAR data, processed to a deliverable.
| Item | On the file |
|---|---|
| Point classification | Ground, vegetation, building, and infrastructure classification from raw aerial LiDAR returns. |
| Terrain & surface models | Digital terrain models (DTM) and digital surface models (DSM) for civil, environmental, and infrastructure projects. |
| Infrastructure documentation | Corridor mapping, powerline clearance, and large-area infrastructure surveys processed from aerial capture. |
| Volumetric analysis | Cut/fill and stockpile volume calculations for civil and mining applications. |
- LiDAR Only
- LAS / LAZ
- DTM / DSM
- Classification
Quoted in hours. Billed on actuals. Capped at the quote.
We do not publish sample hour counts. Send the scans and the spec, and you get a capped quote in one to two business days. How we quote.
LiDAR, not photogrammetry.
Aerial data comes from two very different acquisition methods: LiDAR (laser-based) and photogrammetry (camera-based, typically from drones). We process LiDAR-derived point clouds only. If your dataset is photogrammetric, we're not the right fit for this scope, ask us anyway and we'll tell you honestly.
Questions specific to aerial LiDAR.
How do I know if my data is LiDAR or photogrammetry?
If it was captured with a laser scanner (fixed-wing, helicopter, or drone-mounted LiDAR sensor), it's LiDAR. If it was captured with a camera and processed into a point cloud via software like Pix4D or DroneDeploy, it's photogrammetry. If you're not sure, send us the file and we'll tell you.
What's the difference in deliverable quality?
LiDAR penetrates vegetation canopy and produces more reliable ground returns; photogrammetry struggles with this and with low-texture or reflective surfaces. That's part of why we stay LiDAR-only, we'd rather not promise quality we can't back.
