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dc.contributor.advisorZhou, Wendy
dc.contributor.authorHaugen, Benjamin D.
dc.date.accessioned2016-02-15T22:38:58Z
dc.date.accessioned2022-02-03T12:58:41Z
dc.date.available2016-02-15T22:38:58Z
dc.date.available2022-02-03T12:58:41Z
dc.date.issued2016
dc.identifierT 7978
dc.identifier.urihttps://hdl.handle.net/11124/170043
dc.description2016 Spring.
dc.descriptionIncludes illustrations (some color), map.
dc.descriptionIncludes bibliographical references.
dc.description.abstractLandslide ground surface displacements vary at all spatial scales and are an essential component of kinematic and hazards analyses. Unfortunately, survey-based displacement measurements require personnel to enter unsafe terrain and have limited spatial resolution. And while recent advancements in LiDAR technology provide the ability remotely measure 3D landslide displacements at high spatial resolution, no single method is widely accepted. A series of qualitative metrics for comparing 3D landslide displacement field measurement methods were developed. The metrics were then applied to nine existing LiDAR techniques, and the top-ranking methods –Iterative Closest Point (ICP) matching and 3D Particle Image Velocimetry (3DPIV) – were quantitatively compared using synthetic displacement and control survey data from a slow-moving translational landslide in north-central Colorado. 3DPIV was shown to be the most accurate and reliable point cloud-based 3D landslide displacement field measurement method, and the viability of LiDAR-based techniques for measuring 3D motion on landslides was demonstrated.
dc.format.mediumborn digital
dc.format.mediummasters theses
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado School of Mines. Arthur Lakes Library
dc.relation.ispartof2016 - Mines Theses & Dissertations
dc.rightsCopyright of the original work is retained by the author.
dc.subjectdeformation monitoring
dc.subjectdisplacement fields
dc.subjectlandslides
dc.subjectLIDAR
dc.subjectpoint clouds
dc.titleQualitative and quantitative comparative analyses of 3D LiDAR landslide displacement field measurements
dc.typeText
dc.contributor.committeememberNissen, Edwin
dc.contributor.committeememberSanti, Paul M. (Paul Michael), 1964-
thesis.degree.nameMaster of Science (M.S.)
thesis.degree.levelMasters
thesis.degree.disciplineGeology and Geological Engineering
thesis.degree.grantorColorado School of Mines


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