forest intelligence‍

A LiDAR, and multi-spectral forest survey offering a census-level digital twin of a block.

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The annual harvest of millions of hectares of forest requires thorough regeneration plans and subsequent monitoring. For forest tenure holders, this monitoring is a regulatory cornerstone. 

Current survey methodologies often rely on a combination of coarse, subjective aerial-ocular data and localized ground sampling. 

This technical deficiency leads to undetected regeneration failures, escalating operational costs, and potential future revenue loss.

The Big Issues

1. Imprecision & guesswork

Current surveys rely on coarse aerial-ocular information and in some cases, ground-based sampling that lack precision.

2. late-stage detection

Regeneration issues often go unnoticed for years which leads to unplanned treatment costs and undesirable forest conditions.

3. Revenue risk

Poorly timed silviculture practices result in undesirable Free To Grow outcomes which impact merchantable timber volumes and AAC.

4. Operational inefficiency

Manual surveys are slow, pose safety risks, and often require boots on the ground in hard-to-reach locations.

our technology

01

Machine learning

Deep learning models are trained on data across boreal, montane and temperate forest terrain. We classify tree species, measure stem height and calculate density. Algorithms detect competition from non-crop vegetation and assess stocking metrics against regulatory thresholds.

02

LiDAR and Multispectral Analysis

Drones equipped with LiDAR sensors map terrain and vegetation structure at centimeter level accuracy. Multispectral cameras capture data across visible and near-infrared wavelengths. When combined with machine learning we detect species composition, height and stem density.

03

Drone Technology

Survey-grade drones cover 1,000s of hectares per day. Custom mission plans flown at low elevation ensure complete block coverage with the highest possible resolution and accuracy.

04

Census level Analytics & Reporting

Reports provide block-wide statistics and spatial maps showing compliant versus non-compliant areas. Data integrates with GIS platforms for treatment planning and compliance exports. We engage and involve regulators to ensure FIS reporting meets official standards in every region that we operate.