Using LiDAR data for Canopy Gaps detection

First results of Canopy Gaps distirbution using LiDAR data - In Press

 The aims of this research are (1) analysis of the Canopy Gaps (CG) pattern in the mixed beech-fir old-growth forest reserve using LiDAR (Light Detection And Ranging) survey and (2) analysis of the impact of geomorphologic factors (obtained from digital terrain model) on the Canopy Gaps fraction and size distribution. Using LiDAR data shows up as an accurate, detailed and efficient way to record and measure Canopy Gaps inside the old-growth forest reserve. Results of this research show that Canopy Gaps size, density and area increase with higher elevation, higher terrain slope, northern aspect and higher Wind exposure index which is mainly linked to the direct influence of dominant wind and canopy height. By combining LiDAR technology with field surveys (especially tree rings based method) we can get useful information about spatial and temporal Canopy Gaps dynamics in old-growth forest reserves. Results of this research can be practically applied in the all-day Close to nature forest management.