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    Author(s): David C. Chojnacky; Randolph H. Wynne; Christine E. Blinn
    Date: 2009
    Source: In: McRoberts, Ronald E.; Reams, Gregory A.; Van Deusen, Paul C.; McWilliams, William H., eds. Proceedings of the eighth annual forest inventory and analysis symposium; 2006 October 16-19; Monterey, CA. Gen. Tech. Report WO-79. Washington, DC: U.S. Department of Agriculture, Forest Service. 237-242.
    Publication Series: General Technical Report (GTR)
    Station: Washington Office
    PDF: View PDF  (831.08 KB)

    Description

    Methodology is lacking to easily map Forest Inventory and Analysis (FIA) inventory statistics for all attribute variables without having to develop separate models and methods for each variable. We developed a mapping method that can directly transfer tabular data to a map on which pixels can be added any way desired to estimate carbon (or any other variable) for a particular area. The method uses a remote-sensing layer coverage to stratify forest from nonforest, a standard double sampling analysis, and a definition of spatial variables for summarizing FIA data within the double sampling framework to link to maps. Further refinements are needed but the new method appears to be accurate, flexible, and straightforward.

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    Citation

    Chojnacky, David C.; Wynne, Randolph H.; Blinn, Christine E. 2009. Mapping forest inventory and analysis data attributes within the framework of double sampling for stratification design. In: McRoberts, Ronald E.; Reams, Gregory A.; Van Deusen, Paul C.; McWilliams, William H., eds. Proceedings of the eighth annual forest inventory and analysis symposium; 2006 October 16-19; Monterey, CA. Gen. Tech. Report WO-79. Washington, DC: U.S. Department of Agriculture, Forest Service. 237-242.

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