User guides, API documentation, video tutorials, sample datasets, release notes, and recorded webinars — all in one place.
Comprehensive documentation for all AutoTerra editions. Log in to access the full API reference and scripting guide.
Installation, license activation, and your first project — a 30-minute walkthrough for new users of any edition.
Open guideIngesting, visualising, editing, and batch-processing LAS/LAZ, E57, COPC, and all supported formats.
Open guideAutomatic and manual classification, custom class codes, fine-tuning with training points, confidence scoring.
Open guideDTM, DSM, nDHM workflows; interpolation methods; hydro-enforcement; GeoTIFF and raster export.
Open guideField data import, COGO, traverse, cross-sections, DXF/DWG read and write, coordinate systems.
Open guideFull scripting API reference — classes, methods, examples. Available to Pro, Pro Spatial, and LiDAR Pro license holders.
Login to accessStep-by-step video guides for common workflows — from basic setup to advanced automation.
Download sample LiDAR datasets to try AutoTerra's classification and terrain tools. Larger datasets require a Pro or Pro Spatial license to open — free for evaluation with a trial license.
LAS 1.4, airborne, ~12M points · RGB fusion · suitable for classification & building extraction
LAZ compressed, 4km corridor, ~28M points · includes RGB · ideal for road asset detection workflow
LAS 1.4, ~50M points · forested watershed · suitable for DTM, hydrology, and canopy height model
LAS 1.4 full waveform, 6km corridor, ~80M points · requires LiDAR Pro license
LAS 1.4, ~5M points · three stockpiles · ideal for volume calculation practice
All editions ship the same installer — your license determines which features are active.
On-demand recordings of past webinars, plus upcoming live sessions. Register free — recordings sent to all registrants.
60 min · Live demo covering mobile LiDAR import → classification → asset inventory → DXF export. Recorded Feb 2026.
45 min · QA workflow for airborne LiDAR DTM — RMSE calculation, outlier removal, accuracy report. Recorded Dec 2025.
60 min · Live session. Learn how to automate classify-and-derive pipelines using the scripting API. No prior Python experience needed.
30 min · Independent test on a reference stockpile. Three volume methods, two data sources. Recorded Oct 2025.
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