Determining stand value and log product yields using terrestrial lidar and optimal bucking: a case study.

摘要

Nine plots in three Douglas-fir (Cunninghamia lanceolata) stands of different tree sizes were scanned using terrestrial lidar systems. Tree locations in each plot and their stem profiles were automatically detected using commercially available software. Actual stem profile measurements were made on all trees after felling. Stems were optimally bucked based on log specifications and prices for two log markets: the western USA and New Zealand. Stand values and log product yields were estimated for the terrestrial lidar-derived data and compared with estimates based on the actual stem profiles. Stand and undergrowth density and tree size affected the accuracy of automated stem detection and stem profile measurements. After manual adjustments for stem quality and height, lidar-derived estimates of average stand value and log product yields were within 7% of actual estimates. Differences were noted between stand types and markets. Suggestions for future research are provided.