Skip to main content
U.S. flag

An official website of the United States government

Object-oriented classification of forest structure from light detection and ranging data for stand mapping

Author(s):

Alicia A. Sullivan
Peter Schiess

Year:

2009

Publication type:

Scientific Journal (JRNL)

Primary Station(s):

Pacific Northwest Research Station

Source:

Western Journal of Applied Forestry. 24(4): 198-204

Description

Stand delineation is an important step in the process of establishing a forest inventory and provides the spatial framework for many forest management decisions. Many methods for extracting forest structure characteristics for stand delineation and other purposes have been researched in the past, primarily focusing on high-resolution imagery and satellite data. High-resolution airborne laser scanning offers new opportunities for evaluating forests and conducting forest inventory. This study investigates the use of information derived from light detection and ranging (LIDAR) data as a potential tool for delineation of forest structure to create stand maps. Delineation methods are developed and tested using data sets collected over the Blue Ridge study site near Olympia, Washington. The methodology developed delineates forest areas using LIDAR data and object-oriented image segmentation and supervised classification. Error matrices indicate classification accuracies with a kappa hat values of 78 and 84% for 1999 and 2003 data sets, respectively.

Citation

Sullivan, Alicia A.; McGaughey, Robert J.; Andersen, Hans-Erik; Schiess, Peter. 2009. Object-oriented classification of forest structure from light detection and ranging data for stand mapping. Western Journal of Applied Forestry. 24(4): 198-204.

Publication Notes

  • 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.
https://www.fs.usda.gov/treesearch/pubs/38293