Point-cloud intelligence

LiDAR.

Classification and feature extraction that turns dense point clouds into reliable terrain, infrastructure and mapping intelligence.

Infrastructure corridorsUrban mappingAirports & facilitiesTerrain analysisAsset inventoriesGIS updates
Scope a LiDAR project ↗
Colour classified LiDAR point cloud over built environment
Photo: PlaneMad / Wikimedia Commons · CC BY-SA 2.5
Deliverables

What we deliver.

Outputs are scoped around the target standard, downstream workflow and acceptance criteria.

  • ✦Digital Terrain Model (DTM), Digital Surface Model (DSM) and Digital Elevation Model (DEM)
  • ✦Bare-earth and non-ground / advanced classification
  • ✦Breakline collection and contour generation
  • ✦3D city modelling, airport mapping and road corridors
  • ✦Railway, topographical and asset-data mapping
  • ✦Advanced planimetric mapping and update mapping
Production pathway

Measured by usable outcomes.

01 / INGEST

Understand the source

Review data structure, reference system, density or imagery quality and representative samples.

02 / PRODUCE

Process to specification

Apply the agreed workflow with production checks designed around the target output.

03 / VALIDATE

Release with confidence

Run staged QA and prepare structured deliverables for downstream use.

LiDAR FAQ

Questions teams ask before production.