Determining Radiata pine tree value and log product yields using terrestrial LiDAR and optimal bucking inSouth Australia.

摘要

Eighteen plots in three radiata pine stands of different tree sizes were scanned using terrestrial LiDAR systems. Tree locations were automatically detected using commercially available software. Stem profiles were measured using three methods: (1) from LiDAR scans, (2) by the harvester and (3) manually after felling. Stems were optimally bucked based on log specifications and prices for Australian log markets. Tree values and log product yields were estimated for the terrestrial LiDAR derived data and compared with estimates based on the harvester and manual stem profiles. Plot preparation and tree characteristics affected the accuracy of automated stem detection and stem profile measurements. Suggestions for future research are provided.