RESEARCH YOU NEED TO READAbstracts from the March 2019 issue of the scientific journalFORESTRY

摘要

Estimation of Individual Tree Health Condition for Japanese Mountain Cherry (Cerasusjamasakura) Using Airborne LiDAR Takeshi Sasaki, Junichi Imanishi, Yoshihiko Iida, Youngkeun Song, Yukihiro Morimoto, Tamao Kojima This study revealed the usefulness of airborne light detection and ranging (LiDAR) data for estimating the individual tree health condition in Japanese mountain cherry {Cerasus jamasakura) in Yoshinoyama, Nara Prefecture, Japan. The ratio of the lasers reflected from the crown surfaces wasthe most effective variable for the estimation in relation to the crown density, one of the key health indicators. These results may be applied to monitoring trees at the individual level, including trees other than C. jamasakura, because the LiDAR variables represent physical characteristics.