Abstract
The purpose of this research is to decide the algorithm to estimate the stem volume according to the tree height and the parameter of crown with small-footprint airbone LiDAR (Light Detection And Ranging) . We explored the relationships between the stem volume and the tree height, the parameter of crown by field survey using regression analysis. Moreover, it examined which the parameter of crown was best for estimating the stem volume. The study area was a plantation of Sugi (Cryptomeria japonica D.Don) and Hinoki (Chamaecyparis obtusa Endl.) . As a result, we confirmed that the coefficients of determination were 0.6 or more and there is a high correlation between the tree height, the parameter of crown, and the stem volume. Moreover, when the relation between some parameter of crown and the amounts of the leaf was examined, as for R2, the crown surface area was the highest. Therefore, it has been understood to be able to estimate the stem volume according to the tree height and the crown surface area.
