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): Sean HealeyWarren CohenGretchen Moisen
    Date: 2007
    Source: In: Proceedings of the FORESTSAT 2007 Conference, 5-7 November 2007, Montpellier, France. CD. p. 158-162.
    Publication Series: Scientific Journal (JRNL)
    Station: Rocky Mountain Research Station
    PDF: Download Publication  (651.54 KB)


    The need for current information about the effects of fires, harvest, and storms is evident in many areas of sustainable forest management. While there are several potential sources of this information, each source has its limitations. Generally speaking, the statistical rigor associated with traditional forest sampling is an important asset in any monitoring effort. However, the act of sampling implies that spatial patterns below the level of the estimation unit are ignored. Disturbance information derived from remote sensing is spatially explicit at the local level. This spatially explicit data, which can be validated at the plot level with traditional forest survey information if it is available, can support analyses related to the spatial orientation and context of disturbances as they occur across the landscape. Thus, remote sensing provides a credible and systematic complement to more traditional means of forest monitoring.

    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.


    Healey, Sean; Cohen, Warren; Moisen, Gretchen. 2007. Applications of satellite-derived disturbance information in support of sustainable forest management. In: Proceedings of the FORESTSAT 2007 Conference, 5-7 November 2007, Montpellier, France. CD. p. 158-162.


    remote sensing, disturbance, harvest, management, prioritization

    Related Search

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