| Parameter | UAV Setting (Terrasolid) | Why | | :--- | :--- | :--- | | | 40-80 m | UAV swaths are narrow; a smaller value may misclassify ground along sloped roofs. | | Ground Angle | 78-88° (steep) | UAV points have lower vertical accuracy; flatter angle (e.g., 70°) will erode ditches. | | Max Terrain Deviation | 0.5-1.0 m | Accounts for micro-topography visible to UAVs. | | Seed Points Distance | 10-25 m | UAV point density allows tighter seeds than airplane LiDAR (50m). |
UAV LiDAR provides structural details that photogrammetry cannot capture (specifically understory and ground beneath dense canopy).
As drone docks (like DJI Dock or Percepto) become common, Terrasolid is adapting. The software now supports . You can set up a watch folder. When a UAV lands and uploads the flight data (Strips + Trajectory), Terrasolid launches automatically:
: Specifically engineered to achieve centimeter-level accuracy by correcting trajectory drifts. Key Components of the UAV Bundle terrasolid uav
If you'd like to understand the in licensing TerraSolid software , I can provide a general overview.
If your drone carries a camera alongside or instead of a LiDAR sensor, TerraPhoto is essential. Produces rectified, seamless orthomosaics.
Creating high-density, accurate 3D models of urban environments for planning or construction. | Parameter | UAV Setting (Terrasolid) | Why
: Used to create, edit, and visualize surface models (TINs) from the points classified in TerraScan. It allows users to generate contour lines, elevation texts, and slope directions.
The Rise of UAV LiDAR technology has revolutionized the geospatial industry. Drones capture high-resolution data quickly and safely. However, raw drone data is messy and disorganized. Specialized software is required to transform raw point clouds into actionable maps. Terrasolid UAV stands out as the industry standard for this task.
: Achieving an ortho-mosaic resolution of approximately 1 cm in planimetry. | | Seed Points Distance | 10-25 m
: This is the engine room of the suite. TerraScan is the application for managing, visualizing, classifying, and editing point clouds. It allows operators to manually or automatically classify points into user-defined categories such as terrain, vegetation, buildings, and power lines. The UAV version includes a highly automated "Wizard" that guides users through the entire process of creating a project, importing UAV datasets, performing strip adjustments, classifying the point cloud, and exporting deliverables. For instance, a case study on cut-and-fill estimations demonstrated that Terrasolid could create a fully classified point cloud, removing features like vegetation and buildings to build an accurate Digital Terrain Model (DTM) for site survey analysis.
is a specialized software bundle designed specifically for the efficient processing and management of LiDAR point clouds and imagery captured by Unmanned Aerial Vehicles (UAVs). It is widely recognized as a "lite" yet powerful version of the industry-standard Terrasolid suite, optimized for the smaller datasets and specific needs of drone-based surveying. Core Software Components
is the primary tool for managing large, dense point clouds. It specializes in classifying points into distinct categories.
It resolves alignment errors between the LiDAR sensor and the drone's Inertial Measurement Unit (IMU).
The precision and automation offered by Terrasolid UAV make it an invaluable asset across multiple commercial sectors: