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): Louis R. IversonAnantha Prasad
    Date: 2007
    Source: Landscape Ecology. 22: 223-331.
    Publication Series: Scientific Journal (JRNL)
    Station: Northern Research Station
    PDF: Download Publication  (735.52 KB)


    The nearly unprecedented loss of life resulting from the earthquake and tsunami of December 26,2004, was greatest in the province of Aceh, Sumatra (Indonesia). We evaluated tsunami damage and built empirical vulnerability models of damage/no damage based on elevation, distance from shore, vegetation, and exposure. We found that highly predictive models are possible and that developed areas were far more likely to be damaged than forested zones. Modeling exercises such as this one, conducted in other vulnerable zones across the planet, would enable managers to create better warning and protection defenses, e.g., tree belts, against these destructive forces.

    Publication Notes

    • 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, 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.


    Iverson, Louis R.; Prasad, Anantha. 2007. Using landscape analysis to assess and model tsunami damage in Aceh province, Sumatra. Landscape Ecology. 22: 223-331.


    tsunami damage, prediction, random forests, Indonesia, forests, developed areas, modeling damage, classification and regression trees, tsunami warning, mangroves

    Related Search

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