Skip to Main Content
U.S. Forest Service
Caring for the land and serving people

United States Department of Agriculture

Home > Search > Publication Information

  1. Share via EmailShare on FacebookShare on LinkedInShare on Twitter
    Dislike this pubLike this pub
    Author(s): David L. Radloff
    Date: 1983
    Source: Fort Collins, CO: Colorado State University. 106 p. Dissertation.
    Publication Series: Dissertations
    Station: Rocky Mountain Research Station
    PDF: Download Publication  (7.0 MB)


    Wildland classification is a prerequisite to many tasks in the land management planning process. Although a variety of general wildland classification frameworks have been proposed for the United States, much work remains to develop detailed-level classification. This study was conducted in three parts to examine three related aspects of wildland classification at the detailed level. The first part of the study was designed to examine the utility of multivariate analysis techniques in developing an ecologic land classification for a specific area. The second part of the study was designed to assess the similarity between two independently developed classifications for the same area. The third part of the study was designed to evaluate the use of remote sensing data for identifying detailed land classification units on the ground. Vegetation dominance data were collected in 102 sample stands in the Manitou Experimental Forest, Colorado. The data were analyzed by an iterative sequence of cluster analysis, canonical ordination, discriminant analysis, and subjective interpretation to identify important groupings of the sample stands. Digitized aerial photographic data (1:50,000 scale color, infrared) from the sample stands were analyzed to evaluate the ability to identify stands representing the habitat type classes from part one of the study. Adding three physical site variables - elevation, slope, and aspect - to the analysis increased identification accuracy to 97 percent.

    Publication Notes

    • You may send email to to request a hard copy of this publication.
    • (Please specify exactly which publication you are requesting and your mailing address.)
    • 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.


    Radloff, David L. 1983. Wildland classification with multivariate analyses and remote sensing techniques. Fort Collins, CO: Colorado State University. 106 p. Dissertation.


    wildland classification, discriminant analysis, aerial photographs, Manitou Experimental Forest

    Related Search

    XML: View XML
Show More
Show Fewer
Jump to Top of Page