Sequential sampling and modelling for mean dominant height estimation

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Abstract
A method of checking the validity of model predictions of the mean dominant height (MDH) for a cutting unit using sequential sampling is presented. Inventory data provided by the New South Wales Forestry Commission were used to test the impact of decision criteria and acceptable type 1 and type 2 error levels on average sample size. Using sequential sampling to check model predictions of cutting unit MDH lowered the standard error of the prediction and reduced the maximum error by over half that of the using model predictions alone. The average sample size for the model with sequential sampling varied with the decision criteria and acceptable error levels. Using sequential sampling to check the validity of model predictions can reduce the number of heights that need to be measured during an inventory without greatly increasing the error in estimating MDH for a cutting unit.

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