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    Author(s): Randall S. MorinGreg C. Liknes
    Date: 2012
    Source: Gen. Tech. Rep. NRS-P-105. Newtown Square, PA: U.S. Department of Agriculture, Forest Service, Northern Research Station. [CD-ROM]. 478 p.
    Publication Series: General Technical Report - Proceedings
    Station: Northern Research Station
    PDF: View PDF  (28.68 MB)

    Titles contained within Moving from status to trends: Forest Inventory and Analysis (FIA) symposium 2012

    Description

    These proceedings report invited presentations and contributions to the 2012 biennial Forest Inventory and Analysis (FIA) Symposium, which was hosted by the Research and Development branch of the U.S. Forest Service. As the only comprehensive and continuous census of the forests in the United States, FIA provides strategic information needed to evaluate sustainability of current forest management practices across all ownerships. Papers and abstracts included in the publication have been sorted into topic areas that match the sessions presented during the meeting. Symposium papers cover high priority and timely issue-based topics including climate change, wildlife, fire, bioenergy, geo-spatial extensions, monitoring over time, integrating remote sensing and GIS applications, statistical and related quantitative solutions to emerging needs, and many others.

    Publication Notes

    • Check the Northern Research Station web site to request a printed copy of this publication.
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    • Please contact Sharon Hobrla, shobrla@fs.fed.us if you notice any errors which make this publication unusable.
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    • This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.

    Citation

    Morin, Randall S.; Liknes, Greg C., comps. 2012. Moving from Status to Trends: Forest Inventory and Analysis (FIA) Symposium 2012; 2012 December 4-6; Baltimore, MD. Gen. Tech. Rep. NRS-P-105. Newtown Square, PA: U.S. Department of Agriculture, Forest Service, Northern Research Station. [CD-ROM]. 478 p.

    Keywords

    statistics, estimation, sampling, modeling, remote sensing, forest health, data integrity, environmental monitoring, cover estimation, international forest monitoring

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