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dc.contributor.advisorJi, Wei, 1955-eng
dc.contributor.authorGwartney, Daniel Wardeng
dc.coverage.spatialMissouri -- Kansas Cityeng
dc.date.issued2012-05-18eng
dc.date.submitted2012 Springeng
dc.descriptionTitle from PDF of title page, viewed on May 18, 2012eng
dc.descriptionThesis advisor: Wei Jieng
dc.descriptionVitaeng
dc.descriptionIncludes bibliographic references (p. 108-111)eng
dc.descriptionThesis (M.S.)--Dept. of Geosciences. University of Missouri--Kansas City, 2012eng
dc.description.abstractProtection and inventory of current wetlands is important for critical habitats, education, recreation, flood control, and storm water filtration. Over the years, the United States has lost over one-half of its wetlands due to natural processes and urban development. Satellite imagery was used to test the possibility of accurately mapping existing wetlands located in a subset study site along the confluence of the Missouri River and the Blue River in Kansas City, Missouri, following the National Wetlands Inventory (NWI) classification scheme. Testing was performed using hyperspectral (Hyperion) and higher spatial resolution multispectral (SPOT 5) imagery. Additionally, testing was performed by fusing the hyperspectral with multispectral imagery. Results indicated that the fused imagery produced a classified landscape with higher overall accuracy, as well as increased accuracy within the individual wetland classes. These results are significant because they indicate the possibility of an inexpensive, accurate approach for classifying wetlands to obtain metrics for wetlands within even larger study areas.eng
dc.description.tableofcontentsIntroduction -- Literature review -- Study site -- Methodology -- Results -- Summary and conclusion -- Appendix A. Accuracy assessment tables -- Appendix B. Land cover classification mapseng
dc.format.extentxii, 112 pageseng
dc.identifier.urihttp://hdl.handle.net/10355/14248eng
dc.publisherUniversity of Missouri--Kansas Cityeng
dc.subject.lcshWetlands -- Missourieng
dc.subject.lcshWetlands -- Missouri -- Remote sensingeng
dc.subject.otherThesis -- University of Missouri--Kansas City -- Geoscienceseng
dc.titleComparative analysis of urban wetland classification from multispectral, hyperspectral, and fused satellite imageryeng
dc.typeThesiseng
thesis.degree.disciplineGeosciences (UMKC)eng
thesis.degree.grantorUniversity of Missouri--Kansas Cityeng
thesis.degree.levelMasterseng
thesis.degree.nameM.S.eng


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