Feasibility of Low-Cost LiDAR Scanner Implementation in Forest Sampling Techniques

Despite the growing impact of remote sensing technology in forest inventories globally, there is a continuous need for ground measurements on sample plots. Even though newest volume assessment methodology requires fewer plots, accuracy ground-recorded data influences final stand modeling. Therefore, effective and economically justified tools are interest foresters. In presented research, consumer-grade light detection ranging (LiDAR) sensor mounted iPad was used inventory plot collection—including tree location diameter breast height. contrast to other similar feasibility user-friendliness were also documented emphasized. The study conducted 63 real plots Polish forests. total, 776 trees scanned 3 types stands: pine, birch, oak. root mean square error 0.28 m locations 0.06 Various additional analyses performed describe usage an inventories. It contended that low-cost LiDAR scanners might be successfully conditions can considered reliable easy-to-implement tool measurements.