Clear Timber analytics

By combining modern technology and advanced data analytics we help you get accurate insights into your trees.

Data-driven insights from LiDAR, point clouds and remote sensing data for cities and forests

Advanced tree analytics

Clear Timber Analytics turns raw LiDAR, mobile mapping and remote sensing data into accurate digital inventories of individual trees. From tree locations and measurements to crown outlines, vitality indicators and canopy insights, we help professionals manage trees with reliable data. Municipalities, urban foresters, landscape architects and forest managers use our analytics to plan greener and healthier cities, manage roadside risks, monitor tree assets and better understand the structure and value of their trees. Our results are delivered in GIS-ready formats, making them easy to use in existing workflows and software systems.

 

Our expertise started in forestry, where precision and scale are essential. Today, we apply that same tree-level analytics knowledge to urban environments, helping clients make better decisions for the trees they manage.

Drone used for LiDAR forest scanning during a Clear Timber Analytics shoot
trees growing in modern urban setting

Data-Driven Solutions for Smarter Urban Planning

Urban Insights

We use high-precision mobile mapping and LiDAR analytics to build accurate digital tree inventories for cities. Working with our global network of mobile mapping providers, we turn existing data into clear insight that helps urban managers plan and manage green infrastructure better. Let the data guide how your city grows.
Dense forest canopy seen from above

Tools For Foresters To Succeed

Forest Insights

With our high-resolution LiDAR analytics, Clear Timber Analytics delivers a range of products designed to optimize foresters’ workflows, from terrain mapping and growing stock analysis to carbon capture and afforestation survival inventories. Let us help you gain the clarity and insights you need to make informed decisions.​

Historical health trend monitoring

Forest Monitoring

We use remote sensing to monitor forest health and detect key changes across ecosystems. Our technology provides insights into forest vitality, helping you track environmental changes, safeguard resources, and support long-term resilience with continuous monitoring.

How it works

From raw spatial data to tree inventory

Clear Timber Analytics is an analytics-first partner. In many cases, the required LiDAR, mobile mapping, drone, aerial, or satellite data already exists. When suitable data is available, we skip unnecessary fieldwork and move straight to analysis, reducing lead times and making better use of data that has already been collected.

 

If new data is needed, we can arrange collection through our own team or trusted local partners. Already have your own point cloud or remote sensing data? Send it to us, and we will transform it into accurate, tree-level insights.

Whatever the source, the outcome is the same: a validated digital tree inventory with individual tree locations, measurements, and crown outlines. Results are delivered in GIS-ready formats such as shapefiles, crown polygon layers, and CSV exports, ready to use in your existing software and workflows.

Before After Point cloud before classification

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.

Projects

Case studies

Tree inventory and terrain model of an urban park

A project in an Amsterdam park involved mapping trees and creating a terrain model. The project covered 373 ornamental cherry trees to support the park’s redesign.

Customer
Copijn
Realisation
June, 2026
Project Type
Urban Insights
Location
Amsterdam, Netherlands

Tree inventory along the railway

A drone-collected LiDAR was used to identify 9,863 individual trees across 32,877 hectares along German railway network.

Customer
Deutsche Bahn
Realisation
April, 2026
Project Type
Urban Insights
Location
Berlin, Germany

Urban tree and vegetation inventory

A neighbourhood in Delft was surveyed to assess how green the area is for the people who live there, using a digital tree and vegetation inventory.

Customer
Copijn
Realisation
March, 2026
Project Type
Urban Insights
Location
Delft, Netherlands

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CFBL cooperative forestiere logo
Cyclomedia logo
Copijn logo
Staatsbosbeheer
Forst BW logo
The Navigator logo
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