Clear Timber Analytics has solutions built around trees in point-cloud data. From urban insights and ongoing forest monitoring to individual tree extraction from already existing point clouds, we turn raw LiDAR into tree data you can actually use.

trees growing in modern urban setting

Data-Driven Solutions for Smarter Urban Planning

Urban Insights

From point cloud classification to individual tree analytics, Clear Timber Analytics is a preferred partner for mobile mapping companies worldwide. Our technology transforms raw data into a fully automated digital tree inventory, providing insights for smarter, more sustainable urban planning.

Dense forest canopy seen from above

Tools For Foresters To Succeed

Forest Insights

Clear Timber Analytics provides foresters with precise digital tools for efficient forest management. Using high-resolution LiDAR and remote sensing, we turn complex data into actionable insights. Our tree-level analysis helps manage resources, monitor forest health, and support sustainability with exceptional accuracy.

Historical health trend monitoring

Forest Monitoring

Clear Timber Analytics provides real-time forest health updates through forest monitoring, enabling timely responses to changes. Forest insights set a baseline, while forest monitoring tracks ongoing developments for effective management. Using advanced remote sensing, we deliver precise insights into forest vitality, pest threats, and disturbances, helping you manage resources and mitigate risks.
Individual trees measured from your point cloud

Point-cloud extraction

Clear Timber Analytics extracts individual trees and their measurements from LiDAR, no matter where the data comes from. Send us your existing point cloud and we’ll return fully segmented, ready-to-use trees, or we can arrange new data collection for you. The result is a validated, GIS-ready tree inventory for urban forestry, surveying and infrastructure projects.

Not sure which solution is best for you? We’ll be happy to help to find the best one for your needs.