Session 1

Forest carbon stock assessment by a UAV technique: case study in Japanese forest
kiichiro hayashi1, Satoru Sugita2, Takashi Machimura3, Ayana Fujimoto3, Hiroaki Takagi1
1Nagoya University, Japan; 2Chubu University, Japan; 3Osaka University

To estimate carbon stock, mostly, on-site field survey for forest was used. However, it needs a lot of time, human resources and costs. Also utilizing satellite remote sensing data was one of the other ways, which can cover a wider area than the field survey. But the resolution of it is relatively low compared with the field survey. To overcome the issues, a UAV (unmanned aerial vehicle) technique was focused. Currently UAV is widely used in a variety of purposes. In this study, the possibility to utilize a UAV technique for estimating forest carbon stock and other ecosystem services was studied. In this study, the carbon stock assessment was focused. Planted forest located in Takayama City, Gifu Prefecture was selected for the survey. Based on photos taken through several UAV flights, 3D Dense Cloud, ortho-image and DSM(Digital Surface Model)were developed. After that, tree peak identification was conducted. By utilizing these data sets, the carbon stock of each tree was estimated. On the course of the UAV survey, a field survey for dozens of trees in the study site were conducted for getting the data sets of tree species, tree height and DBH(diameter at breast height). Finally, the result from the UAV survey on carbon stock was compared with the output of the field survey. The one of the important finding for the estimation was that the land elevation data under tree canopy was one of the important factors to influence the results of carbon stock estimation.