Rohe Punktwolken werden zu klassifizierten, modellierfertigen Daten: luftgestützt, mobil und bathymetrisch, in großem Umfang und nach Ihrer Spezifikation.
LiDAR and point-cloud volumes grow 30-40% a year, and in-house teams do not grow with them. Classifying ground, vegetation, buildings and power lines to a consistent schema takes domain expertise in coordinate reference systems and classification standards - exactly where generalist teams fall behind on aerial, mobile and bathymetric datasets alike.
Ground, vegetation, buildings and power lines classified to your class schema. LAS/LAZ.
Street-level point cloud classification, façade extraction, road surface modelling. LAS/LAZ.
Water surface and riverbed modelling, depth extraction, coastal and inland waterway mapping. LAS/LAZ.
| Inputs | LAS, LAZ, E57, raw flight lines |
|---|---|
| Outputs | Classified LAS/LAZ, DTM/DSM rasters, QA report |
| Standards | ASPRS class codes, or your project schema |
Send a real LAS/LAZ/E57 dataset. We classify it to your schema in 5 working days; you compare the output against your own baseline.
A paid classification project scoped to test the relationship: clear deliverables, an agreed timeline and defined quality criteria, typically 2-4 weeks.
Named engineers and a dedicated project manager on an established QA workflow, monthly retainer or per-project pricing, from around week 4-6.
Increase or decrease classification capacity as volume changes, month 2 onward, adding aerial, mobile or bathymetric workstreams as needed.
Digitale Höhen-, Gelände- und Oberflächenmodelle aus klassifizierten Punktwolken oder Vermessungsdaten, geliefert als TIN- und Rasterausgabe mit Konturerzeugung und Bruchkantenbearbeitung.
1 bis 10+ benannte Ingenieure, eingebettet in Ihren Workflow, mit dediziertem Projektmanager, monatlich skalierbar. Kein Rekrutierungsaufwand, jedes Format, jede Toolchain.