Application of a digital terrain model for forrest land classification and soil survey

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Application of a digital terrain model for forrest land classification and soil survey

Please use this identifier to cite or link to this item: http://hdl.handle.net/10355/4107

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dc.contributor.advisor Hammer, R. David en
dc.contributor.author Fabian, Christopher J. en_US
dc.date.accessioned 2010-01-06T21:12:55Z
dc.date.available 2010-01-06T21:12:55Z
dc.date.issued 2004 en_US
dc.date.submitted 2004 Fall en
dc.identifier.other FabianC-111504-T784 en_US
dc.identifier.uri http://hdl.handle.net/10355/4107
dc.description The 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. en_US
dc.description Title from title screen of research.pdf file viewed on (June 30, 2006) en_US
dc.description Includes bibliographical references. en_US
dc.description Vita. en_US
dc.description Thesis (M.S.) University of Missouri-Columbia 2004. en_US
dc.description Dissertations, Academic -- University of Missouri--Columbia -- Soil and atmospheric sciences. en_US
dc.description.abstract Land characterization and classification is central to sound natural resource management. Forest land classifications usually lack sufficient detail, are not scale-adjustable, and are limited in scope and applications for the spectrum of relevant management decisions. Two alternatives for forest land classification have been proposed: a multifactor ecological land classification system (ECS) and a soil survey approach that is more geomorphic-based, comprehensive and forestry oriented than traditional classifications. Landforms influence important site factors, are easily observable features, and are relatively stabile in the landscape, so are a logical base for land classification systems. Geographic Information Systems (GIS) was used with Digital Elevation Models (DEM's) to produce Digital Terrain Models (DTM's) in the Missouri Ozarks. Terrain models produced from several DEM sources were evaluated for their accuracy in predicting slope, aspect and landforms on a 3691 ha area. The DEM's created from USGS hypsography were most accurate. Slope classes were correctly identified in 71.6% and aspect classes in 84.6% of observations. A rule-based approach to classifying landforms agreed with a field survey on 71.2% of the calibration site and 64.3% of the test site. A soil-geomorphic ecological approach using terrain modeling proved to be an accurate, consistent, efficient and cost-effective method. en_US
dc.language.iso en_US en_US
dc.publisher University of Missouri--Columbia en_US
dc.subject.lcsh Forests and forestry -- Classification en_US
dc.subject.lcsh Soil surveys en_US
dc.title Application of a digital terrain model for forrest land classification and soil survey en_US
dc.type Thesis en_US
thesis.degree.discipline Soil, environmental and atmospheric sciences en_US
thesis.degree.grantor University of Missouri--Columbia en_US
thesis.degree.name M.S. en_US
thesis.degree.level Masters en_US
dc.identifier.merlin .b55848060 en_US
dc.relation.ispartofcommunity University of Missouri-Columbia. Graduate School. Theses and Dissertations. Theses. 2004 Theses
dc.relation.ispartofcollection 2004 Freely available theses (MU)


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