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    Author(s): Jarek Zawadzki; Chris J. Cieszewski; Roger C. Lowe; Michael Zasada
    Date: 2005
    Source: In: McRoberts, Ronald E.; Reams, Gregory A.; Van Deusen, Paul C.; McWilliams, William H.; Cieszewski, Chris J., eds. Proceedings of the fourth annual forest inventory and analysis symposium; Gen. Tech. Rep. NC-252. St. Paul, MN: U.S. Department of Agriculture, Forest Service, North Central Research Station. 129-134
    Publication Series: General Technical Report (GTR)
    Station: North Central Research Station
    PDF: View PDF  (185.92 KB)

    Description

    We evaluate the applicability of Landsat TM imagery for analyzing textural information of pine forest images by exploring the spatial correlation between pixels measured by semivariances and cross-semivariances calculated from transects of the Landsat TM images. Then, we explore differences in semivariances associated with images of young, middle-aged, and old, and natural versus planted stands. Finally, we compare semivariances for loblolly pine (Pinus taeda L.) with those of longleaf pine (Pinus palustris Mill.) in Georgia, U.S.A. The results show that, in spite of the low Landsat TM resolution, the semivariances and cross-semivariances may provide useful additional information.

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    Citation

    Zawadzki, Jarek; Cieszewski, Chris J.; Lowe , Roger C.; Zasada, Michael 2005. Use of Semivariances for Studies of Landsat TM Image Textural Properties of Loblolly Pine Forests. In: McRoberts, Ronald E.; Reams, Gregory A.; Van Deusen, Paul C.; McWilliams, William H.; Cieszewski, Chris J., eds. Proceedings of the fourth annual forest inventory and analysis symposium; Gen. Tech. Rep. NC-252. St. Paul, MN: U.S. Department of Agriculture, Forest Service, North Central Research Station. 129-134

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