Terrasolid Uav -

It automatically calculates shifts (offset and angular) to fix geometric errors.

: The engine of the suite, used for managing, viewing, and automatically classifying point clouds into categories like ground, vegetation, and buildings. TerraMatch UAV

Creating a TIN (Triangle Irregular Network) model from the ground points.

Terrasolid distributes its drone software as an integrated software suite. The bundle can be run natively on top of professional 64-bit (like MicroStation) or via Spatix , a lightweight, standalone CAD environment packaged directly into the bundle. terrasolid uav

The first major step uses TerraMatch to clean the trajectory data. The wizard cuts the flight path into separate passes, removes turn-around data, and deletes short, unusable segments. It then matches overlapping flight passes to correct for any misalignment, a critical step for data integrity. A case study on matching DJI L1 flight passes showed that this step not only eliminates gaps and alignment issues but can also reduce the point count by up to 61% by trimming useless overlap, making the dataset leaner and faster to work with.

As the Unmanned Aerial Vehicle (UAV) industry matures, the demand for high-precision geospatial data has shifted from simple 2D orthomosaics to complex 3D models and dense point clouds. This paper explores the efficacy of the Terrasolid software suite—specifically , TerraMatch , TerraModeler , and TerraPhoto —in processing UAV-acquired LiDAR and imagery. It details the end-to-end workflow from raw data ingestion to final deliverable creation, highlighting the software’s unique ability to handle high-density datasets, perform rigorous trajectory optimization, and automate feature extraction.

This tool is used to create and manipulate surface models (TINs). It allows users to: It automatically calculates shifts (offset and angular) to

: This is the calibration and quality control module. The inherent accuracy of a raw lidar point cloud can be affected by misalignments between overlapping flight paths. TerraMatch compares lidar data from overlapping strips, identifying mismatches and automatically calculating correction values for systematic errors in orientation (xyz location, heading, roll, and pitch). This process, which can be integrated into the TerraScan Wizard, ensures the internal consistency and high accuracy of the final point cloud, often leveraging Ground Control Points (GCPs) for absolute positioning.

TerraScan is the engine of the bundle, dedicated to point cloud management and classification.

Developed by Terrasolid Ltd. in Finland, this specialised software collection functions as a lighter, drone-specific counterpart to their enterprise airborne laser scanning (ALS) suites. It bridges the gap between affordable drone hardware—such as the DJI Zenmuse L1, L2, and L3 payloads—and the rigorous geometric accuracies required by modern engineering, forestry, and construction surveying. 🗺️ The Architecture of Terrasolid UAV Terrasolid distributes its drone software as an integrated

: This module takes the classified point cloud from TerraScan and transforms it into something tangible and useful: surface models. It creates, edits, and visualizes triangulated irregular networks (TINs), Digital Terrain Models (DTMs), and Digital Surface Models (DSMs). The output is highly versatile, allowing users to generate contour lines, elevation grids, and even perform cut-and-fill volume calculations, which are critical for construction and mining projects.

Data for this study was collected using a equipped with a Zenmuse L1 LiDAR sensor. This setup allows for the acquisition of both LiDAR point clouds and high-resolution photogrammetric imagery simultaneously. 2.2 Data Processing Workflow

Would you like a step-by-step macro example for automating UAV LiDAR to DTM in Terrasolid?

If you need sub-centimeter alignment, rigorous QA/QC, and classification that passes regulatory scrutiny, there is no substitute. But if you value a modern UI, quick learning curve, or lower cost, look elsewhere.