Calculation of Biomass Carbon Storage by Individual Trees Using UAV LiDAR

As global environmental problems arise due to climate change, there is an increasing demand for accurate calculation of carbon storage at the regional level for national greenhouse gas management. However, there is no standard for calculating the amount of storage in local forests, so a highly accurate estimation method that can replace tree excavation is needed. Technological development of Unmanned Aerial Vehicles(UAVs) has made it possible to secure high-quality, precise data of various data required for remote sensing, and it was attempted to estimate carbon storage.

First, to identify the tree species distribution of the site, land cover classification and tree species were classified using optical and spectroscopic images obtained by time-series UAV imaging. Next, the data acquired through UAV LiDAR imaging are High Vegetation Pulse (HVP) obtained at the top of vegetation, Medium Vegetation Pulse (MVG) corresponding to intermediate vegetation, Low Vegetation Pulse (LVP) corresponding to lower vegetation and classified as Ground Pulse (GP). Finally, the carbon storage of forest biomass in the region was calculated using the derived tree species distribution map and UAV LiDAR. The data derived from this study are expected to be used as basic data for calculating regional forest carbon stocks through remote sensing in the future.