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    Author(s): Paul F. Doruska; Robert C. Weih; Matthew D. Lane; Don C. Bragg
    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. 87-90
    Publication Series: General Technical Report (GTR)
    Station: North Central Research Station
    PDF: View PDF  (202.99 KB)

    Description

    Close-range remote sensing was used to estimate biomass of forest ground flora in Arkansas. Digital images of a series of 1-m² plots were taken using Kodak DCS760 and Kodak DCS420CIR digital cameras. ESRI ArcGIS™ and ERDAS Imagine® software was used to calculate the Normalized Difference Vegetation Index (NDVI) and the Average Visible Reflectance (AVR) index for each plot. Regressions, developed to estimate green and dry biomass from the NDVI and/or AVR values, explained 30-40 percent of the variation. A vegetation mask and/or different independent variables are needed to improve the regression models.

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    Citation

    Doruska, Paul F.; Weih, Robert C.; Lane, Matthew D.; Bragg, Don C. 2005. Quantifying Forest Ground Flora Biomass Using Close-range Remote Sensing. 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. 87-90

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