INFERENCE OF SURFACE VELOCITIES FROM OBLIQUE TIME LAPSE PHOTOS AND TERRESTRIAL BASED LIDAR AT THE HELHEIM GLACIER
Using time dependent observations derived from terrestrial LiDAR and obliquetime-lapse imagery, we demonstrate that a Bayesian approach to glacial motion es-timation provides a concise way to incorporate multiple data products into a singlemotion estimation procedure effectively producing surface ve...
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Format: | Thesis |
Language: | unknown |
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University of Montana
2021
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Online Access: | https://scholarworks.umt.edu/etd/11836 https://scholarworks.umt.edu/context/etd/article/12948/viewcontent/Thesis.pdf |
Summary: | Using time dependent observations derived from terrestrial LiDAR and obliquetime-lapse imagery, we demonstrate that a Bayesian approach to glacial motion es-timation provides a concise way to incorporate multiple data products into a singlemotion estimation procedure effectively producing surface velocity estimates withan associated uncertainty. This approach brings both improved computational effi-ciency, and greater scalability across observational time-frames when compared toexisting methods. To gauge efficacy, we apply these methods to a set of observa-tions from the Helheim Glacier, a critical actor in contemporary mass loss trendsobserved in the Greenland Ice Sheet. We find that the Helheim glacier exhibitsa mean velocity of approximately 19md−1 and discuss the implications of thesemethods as they pertain to ongoing efforts to characterize the Greenland Ice Sheetand its contributions to global mean sea level rise. |
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