Abstract
In this study, defoliation transition pattern and stand structure were analyzed from time series DSM (Digital Surface Model) based on acquired airborne laser scanner data around the defoliation for Satoyama coppice forest in Tama Forest Science Garden. And, the tree species division was carried out based on color change (the leaf color change) on the orthoscopic color images in 2 time photographed in the turning red (yellow) leaves period. As the result, it was possible to grasp slowness and fastness of the defoliation and existence of understory vegetation and shrub layer from the time series DSM. In tree species division based on the leaf color change, it was possible to extract trees such as Quercus serrata and Quercus glauca which mix in the forest in which Zelkova serrata is dominant. In addition, it was possible to subdivide the forest type by making the synthetic figure by adding defoliation transition pattern, stand structure to the tree species division result.