An Evaluation of Image Correlation Techniques for Measuring Sand Dune Migration Rates from Remote Sensing Data

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dc.contributor.advisorGlennie, Craig L.
dc.contributor.committeeMemberTelling, Jennifer
dc.contributor.committeeMemberHartzell, Preston J.
dc.contributor.committeeMemberSiebach, Kirsten L.
dc.creatorHall, Leah E.
dc.creator.orcid0000-0001-6911-8486
dc.date.accessioned2020-01-04T01:55:49Z
dc.date.createdMay 2019
dc.date.issued2019-05
dc.date.submittedMay 2019
dc.date.updated2020-01-04T01:55:50Z
dc.description.abstractThe surface migration rates of sand dunes both on Earth and on other planets provide important information about local and regional wind patterns. However, in situ data is often unavailable and remote sensing data must be applied to understand these environments. This study tested two software techniques, COSI-Corr and PIVLab, and evaluated their performance using high resolution imagery and airborne lidar covering White Sands, NM, Victoria Valley, Antarctica, and Jockey’s Ridge, NC. Mean migration rates were computed from the vector field data for overlapping vectors and residual vector values from manual measurements. Results, from each software package, were compared to published migration rates and manual measurements. COSI-Corr produced more thorough vector coverage but underperformed when applied to large spatial displacements with greater variability. PIVLab had less complete vector coverage but allowed for the isolation of vectors over the dune features resulting in accurate measurements.
dc.description.departmentCivil and Environmental Engineering, Department of
dc.format.digitalOriginborn digital
dc.format.mimetypeapplication/pdf
dc.identifier.urihttps://hdl.handle.net/10657/5740
dc.language.isoeng
dc.rightsThe author of this work is the copyright owner. UH Libraries and the Texas Digital Library have their permission to store and provide access to this work. Further transmission, reproduction, or presentation of this work is prohibited except with permission of the author(s).
dc.subjectSurface Migration
dc.subjectSand Dunes
dc.subjectCOSI-Corr
dc.subjectPIVLab
dc.titleAn Evaluation of Image Correlation Techniques for Measuring Sand Dune Migration Rates from Remote Sensing Data
dc.type.dcmiText
dc.type.genreThesis
local.embargo.lift2021-05-01
local.embargo.terms2021-05-01
thesis.degree.collegeCullen College of Engineering
thesis.degree.departmentCivil and Environmental Engineering, Department of
thesis.degree.disciplineGeosensing Systems Engineering
thesis.degree.grantorUniversity of Houston
thesis.degree.levelMasters
thesis.degree.nameMaster of Science

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