Estimation of Stand Structure in the Deciduous Broad-leaved Forest using Multi-temporal LiDAR Data(<Special Issue>Silvilaser)

Abstract

In this study, we tried to estimate the stand structure of deciduous broad-leaved forest and mixed forest using multi-temporal LiDAR data, and it was compared with field survey result and photo interpretation result. As a result, there is the consistency in LiDAR data obtained the same period and the reproducibility of the DSM is high. In deciduous broad-leaved forest, the amount of changes in the DSM around the defoliation allows us to understand the stand structure such as the covering situation of sub tree and shrub and floor plant. In mixed forest, the multi-temporal LiDAR data is effective for the evergreen tree/deciduous tree classification.