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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Bibliographic Details
Main Author: Dunbar, Franklyn T, II
Format: Thesis
Language:unknown
Published: University of Montana 2021
Subjects:
computer science
glaciology
geophysics
bayesian statistics
climate science
computer vision
machine learning
Artificial Intelligence and Robotics
Climate
Data Science
Hydrology
Numerical Analysis and Computation
Numerical Analysis and Scientific Computing
Partial Differential Equations
Greenland
glacier
Ice Sheet
Online Access:https://scholarworks.umt.edu/etd/11836
https://scholarworks.umt.edu/context/etd/article/12948/viewcontent/Thesis.pdf
Description
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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