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dc.contributor.advisorLoehr, J. Erikeng
dc.contributor.authorCoffman, Richard A., 1980-eng
dc.date.issued2009eng
dc.date.submitted2009 Summereng
dc.descriptionTitle from PDF of title page (University of Missouri--Columbia, viewed on September 13, 2010).eng
dc.descriptionThe entire thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file; a non-technical public abstract appears in the public.pdf file.eng
dc.descriptionDissertation advisor: Dr. J. Erik Loehr.eng
dc.descriptionVita.eng
dc.descriptionPh. D. University of Missouri--Columbia 2009.eng
dc.description.abstractSatellite-based Interferometric Synthetic Aperture Radar (InSAR) has been used by the geoscience community for many years to obtain ground deformation measurements of large-scale spatial features. Researchers have also begun applying InSAR to detect small-scale spatial features associated with geotechnical engineering applications. However, there is a significant lack of understanding on how to obtain ground deformation measurements associated with civil infrastructure because of the generally large spatial resolution of the imagery as compared with the limited spatial scale of the deformation features. In this study, InSAR processing techniques were evaluated for two demonstration sites to enhance the understanding of detection of small-scale spatial features. The sites consist of a predominately urban site (Los Angeles, California) and a predominately rural site (outside of Mosul, Iraq). Localized deformation features were identified at both of these sites using InSAR processing techniques recommended in this research InSAR coverage allows for the detection of small movements (<1 cm) covering small spatial extents (<100 meters) by scanning large areas (100 km²) instead of or in addition to current surveying practices which provide spatially limited point measurements. This coverage and the ability to conduct deformation investigations on civil infrastructure using archived InSAR data make the use of InSAR well suited for geotechnical engineering applications.eng
dc.description.bibrefIncludes bibliographical referenceseng
dc.format.extentxx, 239 pageseng
dc.identifier.oclc695996581eng
dc.identifier.urihttps://doi.org/10.32469/10355/9680eng
dc.identifier.urihttps://hdl.handle.net/10355/9680
dc.languageEnglisheng
dc.publisherUniversity of Missouri--Columbiaeng
dc.relation.ispartof2009 Freely available dissertations (MU)eng
dc.relation.ispartofcollectionUniversity of Missouri--Columbia. Graduate School. Theses and Dissertationseng
dc.relation.ispartofcommunityUniversity of Missouri-Columbia. Graduate School. Theses and Dissertations. Dissertations. 2009 Dissertationseng
dc.rightsOpenAccess.eng
dc.rights.licenseThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 License.
dc.subject.lcshSynthetic aperture radareng
dc.subject.lcshEngineering geologyeng
dc.subject.lcshEarth movementseng
dc.subject.lcshEarth movements and buildingeng
dc.titleProcessing of synthetic aperture radar data as applied to the characterization of localized deformation featureseng
dc.typeThesiseng
thesis.degree.disciplineCivil engineering (MU)eng
thesis.degree.grantorUniversity of Missouri--Columbiaeng
thesis.degree.levelDoctoraleng
thesis.degree.namePh. D.eng


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