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    • Graduate School - MU Theses and Dissertations (MU)
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    • 2008 Dissertations (MU)
    • 2008 MU dissertations - Freely available online
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    Methods for high-resolution soil-landscape modeling in midwest upland landscapes

    Myers, David Brenton, 1970-
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    Date
    2008
    Format
    Thesis
    Metadata
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    Abstract
    Traditional soil mapping concepts do not sufficiently address the spatial resolution of some soil management problems. Continuous models of soil profiles and landscapes are needed to move beyond the categorical paradigm of horizons and soil map units. This work proposes a strategy combining sensors and empirical functions of profile properties to develop high resolution 3-D models of soil landscapes. The strategy proceeds in three steps as follows: 1) estimate soil profile properties at high resolution with the combined use of a diffuse reflectance spectroscopy (DRS) sensor and several soil electrical conductivity (EC) sensors, 2) model measured or sensor predicted soil profile properties with nonlinear peak functions, and 3) map the parameters of peak functions across the landscape to produce a continuous numerical soil-landscape model. Coherent depth translation (CDT) was introduced as a method to transform and combine sparse soil profile data into a single dataset for improved modeling. These methods were tested in the upland landscapes of northern Missouri. Sensors, especially DRS, successfully estimated profile clay and organic carbon. Peak functions were valuable for modeling profile clay content and covariates of clay. Coherent depth translation enabled the modeling pedogenic trends in peak function parameters. Prototype numerical soil-landscape models were developed for a lithosequence and a toposequence of common soil series in northern Missouri.
    URI
    https://doi.org/10.32469/10355/5514
    https://hdl.handle.net/10355/5514
    Degree
    Ph. D.
    Thesis Department
    Soil, environmental and atmospheric sciences (MU)
    Rights
    OpenAccess.
    This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 License.
    Collections
    • 2008 MU dissertations - Freely available online
    • Soil, Environmental and Atmospheric Sciences electronic theses and dissertations (MU)

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