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  1. Quantifying scaling effects on satellite-derived forest area estimates for the conterminous USA

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    Author(s): Daolan Zheng; L.S. Heath; M.J. Ducey; J.E. Smith
    Date: 2009
    Source: International Journal of Remote Sensing. 30(12): 3097-3114.
    Publication Series: Scientific Journal (JRNL)
    Station: Northern Research Station
    PDF: View PDF  (1020 KB)

    Description

    We quantified the scaling effects on forest area estimates for the conterminous USA using regression analysis and the National Land Cover Dataset 30m satellite-derived maps in 2001 and 1992. The original data were aggregated to: (1) broad cover types (forest vs. non-forest); and (2) coarser resolutions (1km and 10 km). Standard errors of the model estimates were 2.3% and 4.9% at 1km and 10km resolutions, respectively. Our model improved the accuracies for 1km by 0.6% (12 556km2) in 2001 and 1.9% (43 198km2) in 1992, compared to the forest estimates before the adjustments.

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    Citation

    Zheng, Daolan; Heath, L.S.; Ducey, M.J.; Smith, J.E. 2009. Quantifying scaling effects on satellite-derived forest area estimates for the conterminous USA. International Journal of Remote Sensing. 30(12): 3097-3114.

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