本数密度の異なるスギ・ヒノキ林における航空機LiDARによる単木の立木幹材積推定

抄録

The purpose of this research is to estimate the individual stem volumes with small-footprint LiDAR (Light Detection And Ranging) data. The study area was a plantation of Sugi (Cryptomeria japonica D. Don) and Hinoki (Chamaecyparis obtusa Endl.) with plots of differing densities. We established the regression model to estimate individual stem volumes. Especially, we analyzed the effect of stand density to estimate stem volumes. As a result, the effect by stand density was not admitted both of Sugi and Hinoki. Therefore, we established the regression model to estimate individual stem volumes that does not depend on stand density. Then, we were able to estimate individual stem volumes for Sugi and Hinoki. The cause of the error for stem volumes was presumption accuracy of the tree crown surface area.