Reduction in inventory costs in even-aged stand

Abstract

The cost for the inventory of even-aged forest is significant, therefore the objective of this study was to develop, build and validate a model to estimate the height of even-aged stands of eucalyptus using artificial neural networks (ANN). Data from 1870 trees measured in the Southern region of Bahia was used. ANN were trained for different percentages of measurements of heights (90, 80, 70, 60, 50, 40, 30, 20 and 10%) of the plots. The methodology allows to reduce considerably the cost to conduct a forest inventory, without significant depreciation of the estimates.