Determining Stand Value and Log Product Yields Using Terrestrial Lidar and Optimal Bucking: A Case Study
Nine plots in three Douglas-fir 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 United States 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.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
Document Type: Research Article
Publication date: 2008-09-01
More about this publication?
- The Journal of Forestry is the most widely circulated scholarly forestry journal in the world. In print since 1902, the Journal has received several national awards for excellence. The mission of the Journal of Forestry is to advance the profession of forestry by keeping forest management professionals informed about significant developments and ideas in the many facets of forestry: economics, education and communication, entomology and pathology, fire, forest ecology, geospatial technologies, history, international forestry, measurements, policy, recreation, silviculture, social sciences, soils and hydrology, urban and community forestry, utilization and engineering, and wildlife management. The Journal is published bimonthly: January, March, May, July, September, and November.
2016 Impact Factor: 1.675 (Rank 20/64 in forestry)
Average time from submission to first decision: 39.6 days*
June 1, 2016 to Feb. 28, 2017
Also published by SAF:
Other SAF Publications
- Submit a Paper
- Membership Information
- Author Guidelines
- SAF Convention Abstracts
- Ingenta Connect is not responsible for the content or availability of external websites