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Services

Niche knowledge in forest biometrics and mensuration

Consistently providing high-quality solutions on time and within budget

Inventory

Reliable forest information begins with sound sampling design.

eForest Metrics designs robust forest inventory sampling systems that deliver accurate, cost-effective estimates of forest resources. Our services include sample design, plot allocation, intensity optimisation, and precision analysis to ensure inventory programs meet operational, reporting, and investment objectives.

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Biometrics

The pinnacle service provision of eForest Metrics is the capacity to develop, calibrate, and validate biometric models that quantify forest resources and predict future outcomes. An equal emphasis is given to minimisation of model bias and practical implementation within robust long term modelling frameworks.

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Resource modelling

Transform forest data into strategic insights and future resource forecasts.

Our resource modelling services integrate inventory information, growth projections, geographic data, and operational assumptions to provide a comprehensive understanding of current and future forest resources. We develop components that support planning, investment decisions, harvest scheduling, and long-term resource management.

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Benchmarking

Measure performance. Identify opportunities. Drive improvement.

Our benchmarking services help forestry organisations compare operational, inventory, and resource management performance against industry peers and recognised best practices. By understanding where performance sits relative to comparable operations, organisations can identify efficiencies, reduce costs, and improve outcomes.

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Research

Research is fundamentally linked to best practice and optimum forest management. We provide research design, statistical analysis, and scientific review services to support forest research, operational trials, and comparative studies. Our expertise helps ensure studies are well-designed, appropriately analysed, and capable of delivering defensible conclusions.

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Contact eFM to learn more

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