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Hidden Cost of Ground Based Forest Surveys
Sampled data is good but not great: making silviculture decisions based on sampled data that only covers a fraction of the block can store up issues that can be costly down the line.
Current silviculture effectiveness monitoring (SEM) typically combines aerial-ocular surveys with ground sampling. Whether you're assessing Free To Grow (FTG) status in Ontario or other regeneration standards across Canada, the methodology faces the same limitations. That approach gives you data points scattered across your block with gaps in between. Those gaps hide regeneration failures, compliance risks, and costs you won't see coming until it's too late.
Sampling gives you statistical probability. It doesn't give you certainty. And when regulatory compliance and treatment budgets depend on accurate assessments, probability isn't enough.
How much are those blind spots costing you right now?
-min.avif)