What is a Canopy Height Model (CHM)?

A Canopy Height Model shows vegetation height above the ground, not elevation above sea level, but the actual height of trees measured from their base to their crown. For forestry, ecology, and carbon accounting, the CHM is often the most valuable product derived from LiDAR data.

Lidarvisor - Canopy Height Model

The Simple Calculation

CHM = DSM – DTM

Take the Digital Surface Model (capturing the top of the canopy) and subtract the Digital Terrain Model (capturing the ground below). What remains is the vegetation height at every point.

If a tree’s crown sits at 145 meters elevation and the ground beneath it sits at 120 meters, that tree stands 25 meters tall.

This calculation works across the entire survey area, producing a raster where every cell contains a height value. Tall trees appear as high values; shrubs appear as low values; bare ground appears as zero.

What CHMs Enable

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Tree Detection

Algorithms identify individual trees as local height maxima in the CHM.

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Carbon Estimation

Convert tree heights to carbon stock, CO₂eq, and biomass per tree.

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Biomass Estimation

Height statistics combined with allometric equations estimate timber volume.

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Change Detection

Compare CHMs from different years to track growth or damage.

The quality of a CHM depends directly on the quality of its inputs. Errors in ground classification propagate into terrain model errors, which cascade into height errors. Getting the DTM right is essential.

From CHM to Carbon Stock

Tree heights extracted from CHMs are the foundation for carbon stock estimation. Using species-specific allometric models, LidarVisor converts height measurements into:

Carbon stock (tonnes C) per tree
CO₂ equivalent (tonnes CO₂eq) for carbon credit reporting
Above-ground biomass (tonnes AGB)

With 102 allometric models covering 8 geographic regions (Europe, Canada, USA, Tropical, Australia, Boreal/Russian, East Asian, African Dryland), you can generate defensible carbon estimates for forests worldwide.

Carbon Estimation Workflow

1. Generate CHM from classified LiDAR

2. Detect individual trees and heights

3. Select region and species

4. Export CSV with carbon columns

5. Download PDF Carbon Estimation Summary

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Generate Accurate CHMs with LidarVisor

LidarVisor generates accurate CHMs by first producing high-quality terrain models through AI-powered ground classification. Use them for tree detection, height statistics, carbon estimation, or export for analysis in your forestry software.