REVUE CANADIENNE DE RECHERCHE FORESTIERE | A statistical estimator to propagate height prediction errors into a general volume model
2010
Fortin, Mathieu | DeBlois, Josianne
In most large-scale inventories, volume models rely on predicted heights instead of measured heights. The effect of height predictions over volume estimate uncertainty is therefore a crucial issue. In this study, we designed a statistical estimator that enables the propagation of tree height prediction errors into a general volume model. The proposed estimator relies on the assumption that both the volume model and the height-diameter model that provides the height predictions do not exhibit any lack of fit. This estimator was tested against a Monte Carlo simulation for 90 plots from three typical forest types in Quebec, Canada (hardwood, mixedwood, and softwood). The results show that the estimator provides plot volume predictions with error variances that fit those estimated using the Monte Carlo simulation. The estimator developed in this study may be useful to quickly provide the uncertainty associated with plot volume predictions in large-scale inventories.
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