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    Method to downscale soil moisture to fine-resolutions using topographic, vegetation, and soil data, A

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    http://hdl.handle.net/10217/88589
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    Abstract
    Various remote-sensing and ground-based sensor methods are available to estimate soil moisture over large regions with spatial resolutions greater than 500 m. However, applications such as water management and agricultural production require finer resolutions (10 - 100 m grid cells). To reach such resolutions, soil moisture must be downscaled using supplemental data. Several downscaling methods use only topographic data, but vegetation and soil characteristics also affect fine-scale soil moisture variations. In this thesis, a downscaling model that uses topographic, vegetation, and soil data ...
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    Author(s)
    Ranney, Kayla J.

    Advisor(s)
    Niemann, Jeffrey D.

    Date Issued
    2014
    Format
    born digital; masters theses
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    • 2000-2019 - CSU Theses and Dissertations
    • Theses and Dissertations - Department of Civil and Environmental Engineering

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