TerraSolid LiDAR Processing Software

TerraScan – Point Cloud Processing and Classification

TerraScan is the central application of the TerraSolid suite for managing, processing, and analyzing LiDAR point cloud data. It provides a powerful environment for importing, organizing, visualizing, and editing extremely large point cloud datasets together with trajectory information and project metadata.

The software is designed to handle billions of points efficiently, allowing geospatial professionals to work with airborne LiDAR, UAV LiDAR, mobile mapping, and terrestrial laser scanning datasets within a single workflow. TerraScan provides advanced tools for point cloud visualization, point classification, feature extraction, and quality control, making it one of the most widely used LiDAR processing solutions in the surveying and mapping industry.

One of the key strengths of TerraScan is its highly advanced automatic classification engine, which filters LiDAR points into categories such as ground, vegetation, buildings, powerlines, and infrastructure elements. These automated classification routines can be combined with semi-automatic tools and manual editing workflows to refine datasets and ensure that the final point cloud meets strict engineering and mapping accuracy requirements.

TerraScan also enables automated generation of 3D vector features directly from LiDAR data:

• ▶ Building model extraction (up to LOD2)
• ▶ Powerline and utility corridor vectorization
• ▶ Corridor analysis and danger object detection
• ▶ Road surface and pavement condition analysis
• ▶ Paint line and curb detection

TerraScan workflows can be automated using macro-based batch processing, allowing large LiDAR datasets to be processed efficiently across multiple workstations. This capability is particularly valuable for organizations processing large-scale national mapping projects, infrastructure corridors, forestry LiDAR surveys, or urban digital twin datasets.

In addition to classification and feature extraction, TerraScan provides powerful tools for point cloud editing, attribute management, quality control, and project organization. These capabilities allow users to clean noisy datasets, verify classification results, and ensure consistent data quality throughout the entire processing workflow.

TerraScan supports numerous industry-standard file formats including LAS, LAZ, TerraScan Binary, Fast Binary, and user-defined ASCII formats, making it compatible with LiDAR systems and data sources from a wide range of hardware manufacturers and mapping platforms.

TerraModeler – Terrain Modeling and Surface Analysis

TerraModeler is the TerraSolid module used for creating, analyzing, and managing high-precision surface models derived from LiDAR point clouds, photogrammetry, and traditional survey data.

The software enables generation of accurate Triangulated Irregular Network (TIN) terrain models using classified LiDAR points, breaklines, survey measurements, or external XYZ datasets. These terrain surfaces are widely used for engineering design, infrastructure planning, corridor mapping, environmental analysis, and digital terrain modeling.

TerraModeler provides advanced tools for editing and refining terrain models, allowing users to integrate breaklines, enforce surface constraints, and ensure that the final terrain accurately represents real-world topography even in complex environments such as urban areas, steep terrain, or engineered infrastructure.

Key functionality includes:

• ▶ Digital terrain model (DTM) generation from classified LiDAR data
• ▶ Contour line creation for mapping and engineering deliverables
• ▶ Breakline editing and terrain constraint management
• ▶ Cross sections and longitudinal terrain profiles
• ▶ Volume calculations for stockpiles, earthworks, and excavation projects
• ▶ Surface comparison and elevation difference analysis

TerraModeler also includes powerful terrain visualization capabilities such as colored shaded surfaces, slope analysis, elevation grids, and textured terrain models. These tools help engineers and analysts quickly interpret terrain characteristics and identify critical features within large datasets.

The module integrates seamlessly with other TerraSolid components such as TerraScan for point cloud classification and TerraMatch for trajectory calibration, forming a complete LiDAR processing workflow from raw point cloud data to final terrain models and engineering deliverables.

TerraMatch – LiDAR Calibration and Strip Adjustment

TerraMatch is a sophisticated calibration and strip adjustment tool designed to improve the positional accuracy and geometric consistency of LiDAR datasets. It analyzes overlapping flightlines or scanning trajectories and computes corrections that align multiple LiDAR passes into a single coherent dataset.

During LiDAR acquisition, small errors can occur due to sensor orientation, GNSS positioning inaccuracies, or IMU drift. TerraMatch detects these discrepancies by comparing overlapping LiDAR strips and calculating optimal corrections that minimize elevation and positional differences between datasets.

The software evaluates LiDAR data from multiple flight or drive paths and determines adjustments for:

• ▶ Sensor misalignment angles
• ▶ GNSS trajectory errors
• ▶ Position offsets between overlapping datasets
• ▶ Scanner orientation calibration
• ▶ Platform motion and trajectory corrections

Corrections can be calculated using either surface matching or tie-line matching techniques. TerraMatch identifies common surfaces between LiDAR strips and automatically determines the best transformation parameters to align datasets across horizontal, vertical, or sloped terrain.

This calibration process significantly improves the geometric quality of the point cloud, ensuring that overlapping LiDAR strips match seamlessly and eliminating visible striping artifacts that can occur when trajectory errors are present.

TerraMatch is particularly important for mobile mapping systems and UAV LiDAR platforms, where GNSS signal quality may vary due to urban environments, terrain obstruction, or multipath interference. The software also enables sensor-to-sensor calibration and scanner alignment for multi-sensor LiDAR systems.

By improving trajectory accuracy and correcting systematic errors, TerraMatch ensures that LiDAR datasets meet the high positional accuracy requirements required for engineering design, infrastructure mapping, digital terrain modeling, and other precision geospatial applications.

TerraSplat – Gaussian Splat Visualization

TerraSplat introduces a new generation of 3D visualization based on Gaussian Splatting technology. Instead of rendering traditional discrete points like a standard LiDAR point cloud, TerraSplat represents each sample as a small semi-transparent 3D ellipsoid (Gaussian splat).

This representation allows the visualization engine to reconstruct surfaces and fine details in a much smoother and more continuous way. The result is a highly detailed and photorealistic representation of real-world environments while maintaining efficient rendering performance.

By leveraging GPU acceleration, TerraSplat enables real-time navigation through very dense datasets while preserving visual clarity and depth perception. Compared with traditional point cloud rendering, Gaussian splats reduce visual noise and provide more natural surface continuity.

Gaussian splats are particularly effective for visualizing complex structures such as:

• ▶ Vegetation and dense foliage structures
• ▶ Thin objects such as fences, cables, and railings
• ▶ Complex architectural elements and urban infrastructure
• ▶ Reflective surfaces including glass, metal, and water
• ▶ Highly detailed photorealistic digital twin environments

TerraSplat integrates seamlessly with the TerraSolid processing ecosystem and Bentley-based environments, allowing Gaussian splat datasets to be visualized alongside traditional LiDAR point clouds, terrain models, and engineering data.

The module supports visualization of PLY files containing Gaussian splat data, enabling compatibility with modern 3D reconstruction pipelines and advanced reality capture workflows used in digital twins, infrastructure mapping, and immersive visualization platforms.

TerraPhoto – Image Processing and Orthophoto Generation

TerraPhoto is the TerraSolid module designed for processing aerial imagery captured together with LiDAR data. The software enables generation of highly accurate rectified aerial images and orthophotos by combining camera imagery with terrain models derived from LiDAR datasets.

By using digital terrain models (DTM) created from LiDAR data, TerraPhoto removes geometric distortions caused by terrain elevation and camera perspective. This process produces precise orthophotos that can be used for mapping, engineering analysis, infrastructure inspection, and digital twin visualization.

The software uses tie points and ground control points (GCPs) to refine the positioning of aerial images and improve the overall accuracy of the image block. This ensures that imagery aligns correctly with the LiDAR point cloud and other geospatial datasets within the project.

Key capabilities include:

• ▶ True orthophoto production using LiDAR-derived terrain models
• ▶ Image color balancing and radiometric adjustment
• ▶ Draping orthophotos over terrain models for 3D visualization
• ▶ Texturing buildings and surfaces with aerial imagery
• ▶ Extracting RGB color values and assigning them to LiDAR points

TerraPhoto enables seamless integration between LiDAR point clouds and high-resolution aerial imagery, allowing users to create visually rich datasets where each LiDAR point can be colorized using image-derived RGB values. This enhances interpretation and improves the usability of LiDAR data for visualization and mapping applications.

TerraPhoto supports many industry-standard raster formats including GeoTIFF, ECW, JPEG2000, BMP, and TIFF, ensuring compatibility with most photogrammetry workflows and geospatial processing pipelines.

TerraBatch – Distributed LiDAR Processing

TerraBatch is designed to accelerate LiDAR production workflows by distributing processing tasks across multiple computers within a local network. Large LiDAR datasets often require substantial computing resources, particularly during automated classification, filtering, or terrain modeling operations.

Instead of processing datasets sequentially on a single workstation, TerraBatch enables parallel execution of TerraScan macros across multiple machines. Each computer processes a portion of the dataset simultaneously, dramatically reducing total processing time and increasing production capacity.

Typical workflows that benefit from distributed processing include:

• ▶ Automated LiDAR point cloud classification
• ▶ Ground filtering and vegetation classification
• ▶ Digital terrain model (DTM) generation
• ▶ Surface modeling and feature extraction
• ▶ Large-scale batch processing of LiDAR production projects

TerraBatch manages the distribution of processing jobs across available computers and coordinates task completion, allowing organizations to fully utilize their hardware resources. This approach significantly increases throughput when processing large airborne, UAV, or mobile LiDAR datasets.

By offloading computational tasks to multiple machines, TerraBatch allows LiDAR specialists to continue working in TerraScan, TerraModeler, and other TerraSolid modules while large automated workflows run in the background.