In this study, we tried te estimate the stand structure of deciduous bread-leaved forest and mixed forest using multi-temporal HDAR 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 bread-leaved fore$t, the amount of changes in the DSM areund the defoliatien allows us to understand the stand structure such as the covering situation of sub tree and shrub and floor plant, In rnixed forest, the multitemporal LiDAR data is effective for the evergreen tree/deciduous tree classification.Kdywords: I.iDAR, DSM, decidueus broad-leaved forest,rnixed forest, stand structure '
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