Abstract

Estimation of Forest Carbon Stock using LiDAR Data
Track: Climate Change
Authors: Eunji Kim, Kamariah salim, Woo-kyun Lee, Jooyeon Moon

Application of remote sensing techniques to forest carbon quantification is essential. In this study, Individual tree biomass was predicted using LiDAR data and field measurements. 1) Extract individual tree using LiDAR data 2) Calculate individual and plot biomass 3) Verify accuracy. The result of this study is expected to be applied in decision making for climate change adaptation policies.