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    Author(s): James A. Westfall
    Date: 2009
    Source: Gen. Tech. Rep. NRS-53. Newtown Square, PA: U.S. Department of Agriculture, Forest Service, Northeastern Research Service. 80 p.
    Publication Series: General Technical Report (GTR)
    Station: Northern Research Station
    PDF: View PDF  (2.4 MB)

    Titles contained within FIA national assessment of data quality for forest health indicators


    The Forest Inventory and Analysis program of the U.S. Forest Service collects field data to assess the condition and trends of the nation's forest resources. A quality assurance program is implemented to assure that data are collected accurately with consistent protocols. A random subset of field plots is chosen to receive an additional, independent measurement by another field crew. This 'blind check' approach allows for comparison of measurements between the two crews. The measurement differences are evaluated against measurement quality objectives, which specify a level of measurement precision for each attribute. This information should be useful to data collection experts, as variables having poor measurement repeatability can be identified and examined for potential resolution. The results may also be of interest to analysts and researchers wanting to evaluate whether the repeatability of measurements is sufficient for their respective studies.

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    Westfall, James A., ed. 2009. FIA national assessment of data quality of forest health indicators. Gen. Tech. Rep. NRS-53. Newtown Square, PA: U.S. Department of Agriculture, Forest Service, Northeastern Research Service. 80 p.


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    measurement error, classification error, quality assurance, forest inventory

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