RECORD
A comparison of four individual tree height prediction methods for forest inventory
- Title:
- A comparison of four individual tree height prediction methods for forest inventory
- Creator:
- Fallowski, Michael J.; Smith, Alistair M.S.; Hudak, Andrew T.; Gessler, Paul E.
- Date Created:
- 2005
- Description:
- In an effort to same time and money, land managers typically subsample certain tree attributes during forest inventory. The calculation of unsampled attributes is then achieved through statistical models exploiting strong relationships between unsampled and sampled parameters. The development of new remote sensing technologies may augment such approaches or provide an alternative method for determining such unsampled tree attributes. This paper compares four separate methods of inferring unsampled tree heights in open canopy stands in North Idaho, USA. The results suggest that imputing missing tree heights via mixed effects modeling out-performs lidar-based estimates of missing tree heights in open forest stands. However, the difference between the mixed effects model estimates and estimates extracted from lidar data is negligible, suggesting that in open forested environments, lidar may provide accurate information which can employed to supplement forest inventory.
- Document Type:
- Research Article
- Subjects:
- Tree height individual tree height tree height prediction open canopy stands LiDAR remote sensing technologies statistical models forest inventory
- Location:
- North Idaho, USA
- Latitude:
- 46.869607
- Longitude:
- -116.733856
- Publisher:
- Michael J. Falkowski, Paul E. Gessler, Penelope Morgan, Andrew T. Hudak, Alistair M.S. Smith, Characterizing and mapping forest fire fuels using ASTER imagery and gradient modeling, Forest Ecology and Management, Volume 217, Issues 2–3, 2005, Pages 129-146, ISSN 0378-1127, https://doi.org/10.1016/j.foreco.2005.06.013.
- Department:
- University of Idaho, Department of Forest Resources, Moscow, ID 83844-1133; USDA Forest Service, Rocky Mountain Research Station, 1221 South Main Street, Moscow, ID 83843
- Type:
- Text
- Format:
- record
Source
- Preferred Citation:
- "A comparison of four individual tree height prediction methods for forest inventory", UIEF Research Exchange, University of Idaho Library Digital Collections, https://www.lib.uidaho.edu/digital/uief/items/uief_0328.html
Rights
- Rights:
- In copyright, educational use permitted.
- Standardized Rights:
- http://rightsstatements.org/vocab/InC-EDU/1.0/