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    Author(s): Mark NelsonGreg LiknesCharles H. Perry
    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. 9 p.
    Publication Series: Proceedings (P)
    Station: Rocky Mountain Research Station
    PDF: View PDF  (4.7 MB)

    Description

    Analysis and display of forest composition, structure, and pattern provides information for a variety of assessments and management decision support. The objective of this study was to produce geospatial datasets and maps of conterminous United States forest land ownership, forest site productivity, timberland, and reserved forest land. Satellite image-based maps of forest land cover, geospatial datasets of land protection and ownership, and data from the U.S. Department of Agriculture Forest Service's Forest Inventory and Analysis (FIA) program were integrated to produce forest land maps. Forest land cover was derived from the U.S. Forest Service Forest Types Map; land ownership and protection is derived from the Conservation Biology Institute's Protected Areas Database; and forest attributes are derived from FIA, summarized by a hexagon sampling array from the Environmental Protection Agency Environmental Monitoring and Assessment Program. This approach provides a technique for efficiently producing forest resource maps over large geographic extents.

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    Citation

    Nelson, Mark; Liknes, Greg; Perry, Charles H. 2009. Combining forest inventory, satellite remote sensing, and geospatial data for mapping forest attributes of the conterminous United States. 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. 9 p.

    Keywords

    forest, inventory, FIA, mapping, CONUS

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