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    Author(s): Birgit Peterson; Ralph Dubayah; Peter Hyde; Michelle Hofton; J. Bryan Blair; JoAnn Fites-Kaufman
    Date: 2007
    Source: In: McRoberts, Ronald E.; Reams, Gregory A.; Van Deusen, Paul C.; McWilliams, William H., eds. Proceedings of the seventh annual forest inventory and analysis symposium; October 3-6, 2005; Portland, ME. Gen. Tech. Rep. WO-77. Washington, DC: U.S. Department of Agriculture, Forest Service: 193-202.
    Publication Series: Other
    Station: Washington Office
    PDF: View PDF  (1.23 MB)

    Description

    A significant impediment to forest managers has been the difficulty in obtaining large-area forest structure and fuel characteristics at useful resolutions and accuracies. This paper demonstrates how LIDAR data were used to predict canopy bulk density (CBD) and canopy base height (CBH) for an area in the Sierra National Forest. The LIDAR data were used to generate maps of canopy fuels for input into a fire behavior model (FARSITE). The results indicate that LIDAR metrics are significant predictors of both CBD (r? = 0.71) and CBH (r? = 0.59). In summary, LIDAR is no longer an experimental technique and has become accepted as a source of accurate and dependable data that are suitable for forest inventory and assessment.

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    Citation

    Peterson, Birgit; Dubayah, Ralph; Hyde, Peter; Hofton, Michelle; Blair, J. Bryan; Fites-Kaufman, JoAnn 2007. Use of LIDAR for forest inventory and forest management application. In: McRoberts, Ronald E.; Reams, Gregory A.; Van Deusen, Paul C.; McWilliams, William H., eds. Proceedings of the seventh annual forest inventory and analysis symposium; October 3-6, 2005; Portland, ME. Gen. Tech. Rep. WO-77. Washington, DC: U.S. Department of Agriculture, Forest Service: 193-202.

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