Point clouds

Point Clouds

High-density 3D data capturing reality with precision

Point clouds form the foundation of modern 3D mapping and modelling. Generated from LiDAR and photogrammetry, they provide highly detailed and accurate representations of terrain, structures, infrastructure, and natural environments.

FROST delivers high-quality point cloud datasets tailored for engineering, design, analysis, and documentation workflows.

What is a point cloud?

A point cloud consists of millions of measured points in 3D space.

Each point contains:

X, Y, Z coordinates
Optional attributes such as colour, intensity, or classification

Together, these points create a precise digital representation of the environment, enabling accurate measurements, modelling, and analysis.

Applications

Typical applications include:

Base data for GIS, CAD, and BIM workflows
3D modelling and digital twins
Infrastructure and construction projects
As-built documentation and verification
Volume calculations and terrain analysis
Asset inspection and documentation

Data acquisition

FROST generates point clouds using:

Drone-based LiDAR
Terrestrial laser scanning (TLS)
Photogrammetry

Data processing

Datasets are processed to ensure:

Accurate georeferencing
Noise filtering and clean data structure
Reliable classification of terrain, vegetation, buildings, and infrastructure
Optimized performance for analysis and modelling workflows

Deliverables

We deliver analysis-ready point cloud datasets, including:

LAS / LAZ formats
Classified and segmented datasets
Integrated multi-source point clouds
Visualization-ready outputs
GIS-, CAD-, and BIM-compatible files

Geospatial solutions powered by software, sensors, and AI technologies

Join us and help capture and transform accurate geospatial data into valuable insights and digital twins.

Point Clouds

Digital twin and 3D models

Terrain models