Applying LiDAR data and alpha shape methodology to estimating forest growth with process-based summary model

摘要

This study introduces the use of airborne LiDAR data as input information for process-based process models for forest growth estimation. Alpha shape methodology was applied to estimate the required stand-level input variables. The tested model was a combination of a light use efficiency model and a process-based summary model for estimating the stand-level growth. LidAR based metrics were used for estimating the mean tree height, crown length and crown volumes at the plot level, which were further converted to leaf biomasses to be utilised by the process model. The modelled growths were compared with the diameter growths measured in the field. The test data contained 59 Scots pine dominated sample plots located in the Eastern Finland. The approach proved to be promising way to apply LiDAR data to the process-based growth estimations. However, especially the biomass estimation method needs to be improved in the future.