October 13-15, 2026
Terrasolid's North American User Conference | Memphis, TN
Three Days That Will Change How You Work
We've packed the 2026 Terrasolid North American User Conference with the technical training, hands-on practice, and peer connections that turn "I wish I knew how to do that" into "I do that all the time now."
The schedule is organized by user level so you can jump straight into content that matches where you are right now. New to Terrasolid? Follow the Beginner track through fundamentals. Been processing point clouds for years? The Advanced sessions dive into optimization, automation, and complex problem-solving without rehashing basics. Most attendees mix levels throughout the conference, starting in their comfort zone and pushing into more challenging territory as they build confidence.
But here's what makes this conference different from just watching training videos at your desk: the hallway conversations, the impromptu troubleshooting sessions over coffee, the "wait, how did you do that?" moments that happen when you watch someone work through a real problem.
We've built in plenty of structured networking time; breaks positioned mid-session when questions are fresh and evening socials where you can connect more casually. The scheduled sessions are just part of the learning. The community is the other part.
Conference Tracks
Opening Session / Terrasolid New Features Presentation
Lunch Break
Intro to Terrasolid Workflow
Foundation-level introduction to the TerraSolid software ecosystem and core concepts. Covers software installation, application launching, and basic LiDAR data handling in TerraScan.
Key Concepts:
- Software installation and licensing
- Launching Spatix application and interface navigation
- Coordinate systems and projections
- Reading and visualizing point clouds
Jon Withers
Powerline and Utility Corridor Classification and Encroachments
Advanced classification workflows for utility corridor mapping and vegetation encroachment analysis. Covers automated classification of powerlines, support structures, and vegetation proximity detection.
Key Concepts:
- Powerline classification techniques
- Utility structure extraction
- Vegetation encroachment detection
- Corridor-specific deliverables
Jared Crain
Building Vectorization with 3DCityDB Storage
Advanced building extraction workflow integrating TerraSolid outputs with 3DCityDB database schema. Demonstrates automated building vectorization and data management for citywide projects.
Key Concepts:
- Automated building extraction
- 3DCityDB integration
- CityGML deliverables
- Database storage workflows
Antti Järvenpää
Microstation Python Scripting with Terrasolid
Python automation for TerraSolid workflows within the MicroStation environment. Covers scripting fundamentals, macro development, and custom tool creation for production efficiency.
Key Concepts:
- Python scripting basics in MicroStation
- TerraSolid macro automation
- Custom tool development
- Batch processing workflows
Topographic & Planimetric Feature Extraction
Introduction to extracting key features from LiDAR point clouds for mapping deliverables. Covers automated and semi-automated workflows for extracting terrain features, breaklines, and planimetric features for surface creation.
Key Concepts:
- Terrain feature extraction
- Breakline generation
- Planimetric feature creation
- Quality control methods
Data Validation QA\QC of Lidar Point Clouds
Systematic approach to LiDAR data quality assessment and validation procedures. Covers statistical analysis, classification accuracy assessment, and deliverable verification workflows under ASPRS Geospatial Accuracy Standards and reporting guidelines.
Key Concepts:
- Point cloud statistics and metrics
- Classification accuracy validation
- Deliverable compliance checking
- QA/QC reporting
Christian Stallings
Effective MLS Data Matching with Cloud-to-Cloud Tie Lines
Mobile LiDAR strip adjustment and registration using cloud-to-cloud matching techniques. Demonstrates TerraMatch workflows for mobile mapping system alignment and accuracy improvement.
Key Concepts:
- MLS strip adjustment concepts
- Cloud-to-cloud tie line creation
- TerraMatch optimization
- Mobile mapping registration
Machine Learning Session 1
Introduction to machine learning classification workflows in TerraScan. Covers training data preparation, model development, and automated classification using ML algorithms.
Key Concepts:
- ML classification fundamentals
- Training data creation
- Model training and optimization
- Automated classification deployment
Working with Projects in TerraScan | Macro and Scripting Deliverable Outputs
Introduction to TerraScan project management and block-level workflow automation. Covers project setup, block organization, running macros on project blocks, and generating deliverables at the block level.
Key Concepts:
- TerraScan project structure and blocks
- Running macros on project blocks
- Block-level deliverable generation
- Output management and organization
Jared Crain
Jon Withers
Rapid Ortho Production for Airborne Corridor Collection
Efficient orthophoto generation workflows for linear corridor projects. Demonstrates TerraPhoto workflows optimized for powerline, pipeline, and transportation corridor mapping.
Key Concepts:
- Corridor-specific ortho workflows
- Efficient seam line generation
- Color balancing techniques
- Production optimization
Phase One IIQ Images
Machine Learning Session 2
Advanced machine learning techniques and model refinement for complex classification scenarios. Covers parameter optimization, multi-class models, and production deployment strategies.
Key Concepts:
- Advanced ML parameters
- Multi-class classification
- Model validation and refinement
- Production implementation
Change Identification with Lidar Time Series
Introduction to multi-temporal LiDAR analysis for detecting terrain and feature changes. Covers data alignment, change detection workflows, and reporting techniques.
Key Concepts:
- Time series data alignment
- Change detection methods
- Difference surface analysis
- Change reporting
Behind the Wizard (Advanced Macro Classification)
Deep dive into TerraScan classification macros and automated workflow development. Reverse-engineer standard classification wizards to understand underlying logic and enable customization.
Key Concepts:
- Macro structure and logic
- Classification algorithm parameters
- Custom workflow development
- Troubleshooting automation
Railroad Vectorization with Mobile Lidar
Specialized workflows for extracting railroad assets from mobile LiDAR data. Covers rail extraction, tie detection, and clearance analysis using TerraScan and TerraModeler.
Key Concepts:
- Rail centerline extraction
- Track geometry analysis
- Asset detection (ties, signals, switches)
- Clearance envelope analysis
Gaussian Splats Together with Lidar Point Cloud
Advanced visualization techniques combining traditional point clouds with Gaussian splatting for photorealistic rendering. Demonstrates integration of workflows and use cases.
Key Concepts:
- Gaussian splatting fundamentals
- Point cloud integration
- Photorealistic visualization
- Deliverable applications
Stockpile/ Volume Computation
Introduction to volumetric analysis workflows for stockpile measurement and earthwork calculations. Covers surface generation, volume computation, and reporting in TerraModeler.
Key Concepts:
- Stockpile surface modeling
- Volume calculation methods
- Cut/fill analysis
- Reporting and deliverables
Tree Trunk Volume Calculation with Handheld Lidar Data
Specialized workflow for forestry applications using handheld LiDAR scanners. Demonstrates tree segmentation, trunk modeling, and volume estimation techniques.
Key Concepts:
- Individual tree segmentation
- Trunk diameter measurement
- Volume calculation algorithms
- Forestry deliverables
TerraMatch Approaches and Techniques for Different Scenarios
Comprehensive coverage of TerraMatch strip adjustment workflows for various project types. Covers airborne, mobile, and UAV alignment strategies for optimal accuracy.
Key Concepts:
- Strip adjustment fundamentals
- Airborne vs mobile workflows
- Tie point strategies
- Accuracy optimization
Combining Handheld and Drone Lidar Sets
Advanced workflow for integrating multi-platform LiDAR datasets into unified deliverables. Covers registration, georeferencing, and merging techniques for handheld and aerial data.
Key Concepts:
- Multi-platform registration
- Coordinate system alignment
- Dataset merging techniques
- Accuracy validation across platforms