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Forest Health & Carbon Monitoring Consortium

Integrated Forest Intelligence for Health, Carbon, and Natural Capital

A multi-partner R&D consortium delivering tree-level forest health analytics and carbon intelligence using satellite, UAV, and ground-based sensing.

From canopy stress detection to carbon sequestration estimates — defensible data for forestry, carbon markets, and environmental decision-making.

Join the Consortium · Download Seed Funding Brief

Integrated Forest Monitoring Hero


The Challenge

Forestry companies, carbon project developers, and environmental agencies face a shared challenge:

  • Satellite-only monitoring is too coarse for operational decisions
  • Field surveys are expensive, slow, and difficult to scale
  • Carbon estimates often lack transparency, repeatability, or auditability

The result is fragmented forest intelligence that struggles to meet commercial, regulatory, and scientific standards.

Satellite vs UAV Comparison


Our Solution

We are developing a multi-scale forest monitoring system that integrates:

  • Satellite imagery
    Regional coverage, seasonal dynamics, long-term change detection

  • RTK-enabled UAV multispectral sensing
    Canopy health, stress detection, fine-scale structure

  • Ground truthing
    Species identification, height validation, phenology, environmental calibration

A clear operational definition underpins the system:

Vegetation ≥ 2 m tall with ≥ 20% canopy cover qualifies as forest

This ensures consistency across monitoring, reporting, and carbon accounting.

System Architecture Diagram


What We Deliver

Forest Health Intelligence

  • Tree-level stress and decline mapping
  • Canopy cover, growth rate, and structural metrics
  • Species composition and phenology indicators

Carbon & Natural Capital

  • Carbon stock and sequestration estimation
  • Compatibility with carbon credit methodologies
  • Repeatable and auditable analytics

Decision Support

  • Fully georeferenced datasets
  • Interactive dashboards
  • Reporting tools for industry and government partners

Analytics Dashboard Example


Consortium Model

The consortium brings together research excellence and industry capability:

  • University Research Team
    Scientific design, data integration, validation, PhD training

  • Geo-Spatial Intelligence Partners
    Satellite analytics, data fusion, dashboards and visualisation

  • UAV Service Providers
    RTK-enabled aerial data acquisition

  • Forestry & Carbon Companies
    Pilot sites, operational use cases, co-funding

  • Government & ARC Linkage
    Research funding, validation, policy integration

This structure ensures early industry engagement, shared risk, and a clear pathway from R&D to deployment.

Consortium Partnership Model


Seed Funding Phase

Phase 1: Pilot (Years 1–2)

Funding Target: $300k per year

Focus Areas

  • Arboretum and Monaro eucalyptus trial sites
  • Satellite, UAV, and ground data integration
  • Stress detection and preliminary carbon models

Key Deliverables

  • Validated forest health maps
  • Carbon stock estimation methodology
  • Proof-of-concept dashboards for partners
  • ARC Linkage–ready evidence base

Path to Scale

Phase 2: Long-Term Centre (Year 3+)

  • Expansion to multiple forest types and regions
  • Operational carbon credit models
  • Commercial dashboards (licensing / subscription)
  • Long-term environmental monitoring database

This positions the consortium for sustained funding, commercial uptake, and policy impact.


Get Involved

We are seeking:

  • Forestry and carbon project partners
  • Geo-spatial analytics and UAV collaborators
  • Government and ARC Linkage participants

Contact: heyang.li@anu.edu.au Downloads: Seed Funding Brief (PDF)


This consortium aligns academic rigor with industry delivery, enabling scalable forest health monitoring and carbon intelligence for the next generation of natural resource management.

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