Abstract

The empirical model for estimating stand volume from LiDAR was developed by Takejima (2015). The study introduced new concept of Stock Ratio, the ratio of the stand volume in the spatial volume occupied by trees. The analysis of field data of over 6,000 trees revealed that Stock Ratio can be descripted by species and Hart-Becking index (Sr). However, the model had a problem for practical use, because of its adaptability since the base parameter was relying on the particular field data. To solve this problem, Stock Ratio simulation was adopted in this study. It was realized by calculating stem volume and spatial volume from virtual tree model. As a result, the generalized stand volume estimation functions were established. Functions are v={0.0270e(-0.2140×Sr)+0.00217}V (Sugi : Cryptomeria Japonica stand) and v={0.0226e(-0.2485×Sr)+0.00207}V (Hinoki : Chamaecyparis Obutsusa stand) where v as stand volumes, V as spatial volume calculated from LiDAR data. With the use of these functions, the stand volume of Sugi and Hinoki can be appropriately estimated without field data, which was essential in conventional methods.

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