Skip to Main Content
A k-nearest neighbor approach for estimation of single-tree biomassAuthor(s): Lutz Fehrmann; Christoph Kleinn
Source: In: McRoberts, Ronald E.; Reams, Gregory A.; Van Deusen, Paul C.; McWilliams, William H., eds. Proceedings of the seventh annual forest inventory and analysis symposium; October 3-6, 2005; Portland, ME. Gen. Tech. Rep. WO-77. Washington, DC: U.S. Department of Agriculture, Forest Service: 251-259.
Publication Series: Other
Station: Washington Office
PDF: Download Publication (1.36 MB)
DescriptionAllometric biomass models are typically site and species specific. They are mostly based on a low number of independent variables such as diameter at breast height and tree height. Because of relatively small datasets, their validity is limited to the set of conditions of the study, such as site conditions and diameter range. One challenge in the context of the current climate change discussion is to develop more general approaches for reliable biomass estimation. One alternative approach to widely used regression modelling are nonparametric techniques.
- Check the Northern Research Station web site to request a printed copy of this publication.
- Our on-line publications are scanned and captured using Adobe Acrobat.
- During the capture process some typographical errors may occur.
- Please contact Sharon Hobrla, firstname.lastname@example.org if you notice any errors which make this publication unusable.
- We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
- This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.
CitationFehrmann, Lutz; Kleinn, Christoph. 2007. A k-nearest neighbor approach for estimation of single-tree biomass. In: McRoberts, Ronald E.; Reams, Gregory A.; Van Deusen, Paul C.; McWilliams, William H., eds. Proceedings of the seventh annual forest inventory and analysis symposium; October 3-6, 2005; Portland, ME. Gen. Tech. Rep. WO-77. Washington, DC: U.S. Department of Agriculture, Forest Service: 251-259.
- CLIMACS: a computer model of forest stand development for western Oregon and Washington.
- An approach for using general soil physical condition-root growth relationships to predict seedling growth response to site preparation tillage in loblolly pine plantations
- A 3-point derivation of dominant tree height equations
XML: View XML