The complete platform for survey-grade LiDAR processing, advanced terrain modeling, and spatial analysis. From raw point cloud to publication-ready deliverable — all in one integrated environment.
AutoTerra Pro Spatial ingests raw point cloud data from airborne, mobile, terrestrial, and drone-borne sensors. Stream and process datasets exceeding 1 billion points without downsampling — GPU acceleration keeps the viewport fluid while full-resolution data drives your analysis.
The built-in classification engine uses convolutional neural networks pre-trained on a global labeled dataset covering diverse terrain types, vegetation densities, and urban densities. Fine-tune with your own sample points for domain-specific accuracy.
Derive bare-earth DTMs, surface models (DSM), and normalized height models (nDHM) from classified point cloud data. AutoTerra's TIN-based interpolation preserves true break-lines and sharp grade transitions — critical for hydrological and road-design workflows.
Pro Spatial bridges the gap between raw spatial data and engineering deliverables. Extract cadastral boundaries, generate section/profile drawings, and export DXF with full layer control — all while your point cloud stays live in the background as a reference.
The corridor module automates road asset extraction from mobile or airborne LiDAR: lane markings, signage, guardrails, trees, and utility poles are detected and exported as GIS layers.
The UAV Photogrammetry add-on brings drone imagery processing directly into your AutoTerra workflow.
Each module shares a unified workspace — no switching applications. Data flows seamlessly from raw LiDAR to final CAD deliverable.
Full capabilities of AutoTerra Pro Spatial. For a cross-edition comparison, see the Products & Comparison page. Products & Comparison
| Category | Specification |
|---|---|
| Point Cloud | LAS/LAZ 1.0–1.4, E57, PLY, XYZ/PTS/CSV, FLS, FWS, RCP/RCS, COPC (streaming), EPT (Entwine), POD (custom) |
| Dataset scale | Unlimited project size; single-session streaming of datasets exceeding 1 billion points with GPU acceleration |
| Classification engine | CNN-based automatic classification (15 default classes); custom class definition; ASPRS class codes; confidence scoring; batch processing |
| Terrain outputs | DTM, DSM, nDHM, CHM (canopy height), Slope, Aspect, Curvature, Hillshade, TPI — all at user-defined resolution; TIN and raster modes |
| Interpolation methods | Delaunay TIN, Inverse Distance Weighting (IDW), Kriging (ordinary & universal), Natural Neighbour, Nearest Neighbour |
| Vector / CAD | DXF read/write (R12–2024), DWG read (via Open Design Alliance), SHP, GeoJSON, KML/KMZ, GeoPackage |
| Coordinate systems | 50+ projected & geographic CRS; custom CRS definition; PROJ 9 library; vertical datum transformation (EGM2008, EGM96, national geoids) |
| Raster export | GeoTIFF (cloud-optimized), ECW, ASCII/ESRI Grid, ERDAS IMG, BIL, PNG, JPEG — all with embedded projection |
| Survey tools | Control point import (CSV/TXT), resection, traverse adjustment, COGO (intersection, bearing-distance), stake-out |
| Corridor / Roads | Horizontal & vertical alignment design; superelevation; cross-section generator; cut/fill volumes; road asset detection from LiDAR; IRI calculation |
| Scripting / API | Python scripting console (embedded); batch automation API; plugin SDK (.NET / Python); REST endpoint for workflow integration |
| Licensing | Floating network license or node-locked; online activation; offline license transfer available |
| Updates | Annual maintenance plan includes all feature releases and priority support |
All editions include the 3D viewer and basic annotation. Upgrade at any time — your project files and settings transfer seamlessly.
Core survey & terrain tools for professionals
Advanced terrain & LiDAR for experienced teams
Complete platform — every module included
Our solution engineers will walk you through a workflow tailored to your project — drone survey, mobile LiDAR corridor, or airborne terrain mapping.