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dc.contributor.advisorMiles, Randall J.eng
dc.contributor.advisorMiles, Randall J.eng
dc.contributor.advisorKitchen, Newell R.eng
dc.contributor.authorMyers, David Brenton, 1970-eng
dc.date.issued2008eng
dc.date.submitted2008 Summereng
dc.descriptionThe entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file.eng
dc.descriptionTitle from title screen of research.pdf file (viewed on July 28, 2009)eng
dc.descriptionThesis (Ph. D.) University of Missouri-Columbia 2008.eng
dc.description.abstractTraditional 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.eng
dc.description.bibrefIncludes bibliographical referenceseng
dc.identifier.merlinb70587838eng
dc.identifier.oclc428131090eng
dc.identifier.urihttps://doi.org/10.32469/10355/5514eng
dc.identifier.urihttps://hdl.handle.net/10355/5514
dc.languageEnglisheng
dc.publisherUniversity of Missouri--Columbiaeng
dc.relation.ispartofcommunityUniversity of Missouri--Columbia. Graduate School. Theses and Dissertationseng
dc.rightsOpenAccess.eng
dc.rights.licenseThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 License.
dc.subject.lcshSoil mappingeng
dc.subject.lcshSoil managementeng
dc.subject.lcshLandscapeeng
dc.titleMethods for high-resolution soil-landscape modeling in midwest upland landscapeseng
dc.typeThesiseng
thesis.degree.disciplineSoil, environmental and atmospheric sciences (MU)eng
thesis.degree.grantorUniversity of Missouri--Columbiaeng
thesis.degree.levelDoctoraleng
thesis.degree.namePh. D.eng


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