A Novel Tree Biomass Estimation Model Applying the Pipe Model Theory and Adaptable to UAV-Derived Canopy Height Models

Aiming to develop a new tree biomass estimation model that is adaptable airborne observations of forest canopies by unmanned aerial vehicles (UAVs), we applied two theories plant form; the pipe theory (PMT) and statical form as an extension PMT for tall trees. Based on these theories, was formulated using individual canopy height derived from UAV. The advantage this it does not depend diameter at breast which difficult observe remote-sensing techniques. We also proposed treetop detection method based fractal geometry crown stand. Comparing surveys in plantations Japanese cedar (Cryptomeria japonica D. Don) cypress (Chamaecyparis obtusa Endl.) Japan, root mean square error (RMSE) estimated stem volume 0.26 m3 smaller than or comparative models different methodologies. significance contains only one empirical parameter be adjusted found rather stable among species sites, suggesting wide adaptability model. Finally, demonstrated potential applicability light ranging (LiDAR) data can provide vertical leaf density distribution.