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): Curtis A. Collins; Ruth C. Seawell
    Date: 2009
    Source: In: McWilliams, Will; Moisen, Gretchen; Czaplewski, Ray, comps. Forest Inventory and Analysis (FIA) Symposium 2008; October 21-23, 2008; Park City, UT. Proc. RMRS-P-56CD. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. 10 p.
    Publication Series: Proceedings (P)
    Station: Rocky Mountain Research Station
    PDF: View PDF  (218.77 KB)

    Description

    As members of the forest products industry continue to reduce their landholdings, monitoring reliable future timber supplies becomes an increasingly important issue. This issue requires both spatial and forest inventory information to meet the strategic planning needs of these entities. Increased depth in the archival span of imagery available from the Landsat program in conjunction with timber estimates from FIA data have been used by Larson and McGowin, Inc. to fill this information gap in the southern U.S. by further refining timber supply projections.

    In generating this information for various clients, Landsat MSS and TM (including ETM+) data have been used to create forest age and type maps with temporal origins as early as 1972 to as recent as 2007. By using forest type and age layers, spatial products can be created that have matching attributes to those presented by FIA. In doing so, FIA volumes can be adjusted to generate expected total volumes for regions by using the remotely sensed/image processed type and age acreages. Once volumes by type and age classes are established, the SubRegional Timber Supply (SRTS) model can be use to analyze supply/demand relationships between multiple products, endogenous land use, varying growth and yield components and regional and local demand estimates.

    Results from a sampling of these projects will be presented in such a way as to share image processed accuracies and overall project results. Special attention will be given to the nature of the results and how our clients have found them helpful. Examples will also be presented showing how the integration of GIS operations can be utilized along with the spatial data product to glean further results that are more widely applicable.

    Publication Notes

    • You may send email to rmrspubrequest@fs.fed.us 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.

    Citation

    Collins, Curtis A.; Seawell, Ruth C. 2009. Using Landsat imagery and FIA data to examine wood supply uncertainty. In: McWilliams, Will; Moisen, Gretchen; Czaplewski, Ray, comps. Forest Inventory and Analysis (FIA) Symposium 2008; October 21-23, 2008; Park City, UT. Proc. RMRS-P-56CD. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. 10 p.

    Keywords

    Landsat, change detection, SRTS, supply, remote sensing

    Related Search


    XML: View XML
Show More
Show Fewer
Jump to Top of Page
https://www.fs.usda.gov/treesearch/pubs/33364