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Time Series Reconstruction of Surface Flow Velocity on Marine-terminating Outlet Glaciers

Jeong, Seongsu
http://orcid.org/0000-0002-6844-5925
http://rave.ohiolink.edu/etdc/view?acc_num=osu1437602064

Abstract Details

2015, Doctor of Philosophy, Ohio State University, Geodetic Science and Surveying.
The flow velocity of glacier and its fluctuation are valuable data to study the contribution of sea level rise of ice sheet by understanding its dynamic structure. Repeat-image feature tracking (RIFT) is a platform-independent, feature tracking-based velocity measurement methodology effective for building a time series of velocity maps from optical images. However, limited availability of perfectly-conditioned images motivated to improve robustness of the algorithm. With this background, we developed an improved RIFT algorithm based on multiple-image multiple-chip algorithm presented in Ahn and Howat (2011). The test results affirm improvement in the new RIFT algorithm in avoiding outlier, and the analysis of the multiple matching results clarified that each individual matching results worked in complementary manner to deduce the correct displacements. LANDSAT 8 is a new satellite in LANDSAT program that has begun its operation since 2013. The improved radiometric performance of OLI aboard the satellite is expected to enable better velocity mapping results than ETM+ aboard LANDSAT 7. However, it was not yet well studied that in what cases the new will sensor will be beneficial, and how much the improvement will be obtained. We carried out a simulation-based comparison between ETM+ and OLI and confirmed OLI outperforms ETM+ especially in low contrast conditions, especially in polar night, translucent cloud covers, and bright upglacier with less texture. We have identified a rift on ice shelf of Pine island glacier located in western Antarctic ice sheet. Unlike the previous events, the evolution of the current started from the center of the ice shelf. In order to analyze this unique event, we utilized the improved RIFT algorithm to its OLI images to retrieve time series of velocity maps. We discovered from the analyses that the part of ice shelf below the rift is changing its speed, and shifting of splashing crevasses on shear margin is migrating to the center of the shelf. Concerning the concurrent disintegration of ice melange on its western part of the terminus, we postulate that change in flow regime attributes to loss of resistance force exerted by the melange. There are several topics that need to be addressed for further improve the RIFT algorithm. As coregistration error is significant contributor to the velocity measurement, a method to mitigate that error needs to be devised. Also, considering that the domain of RIFT product spans not only in space but also in time, its regridding and gap filling work will benefit from extending its domain to both space and time.
Ian Howat, Dr. (Advisor)
Alper Yilmaz, Dr. (Committee Member)
Michael Durand, Dr. (Committee Member)
124 p.
Climate Change; Earth; Geography; Remote Sensing
glaciology; remote sensing; Greenland; Antarctica; glacier flow; Landsat

Recommended Citations

Citations

  • Jeong, S. (2015). Time Series Reconstruction of Surface Flow Velocity on Marine-terminating Outlet Glaciers [Doctoral dissertation, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1437602064

    APA Style (7th edition)

  • Jeong, Seongsu. Time Series Reconstruction of Surface Flow Velocity on Marine-terminating Outlet Glaciers. 2015. Ohio State University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1437602064.

    MLA Style (8th edition)

  • Jeong, Seongsu. "Time Series Reconstruction of Surface Flow Velocity on Marine-terminating Outlet Glaciers." Doctoral dissertation, Ohio State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=osu1437602064

    Chicago Manual of Style (17th edition)

osu1437602064
137
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This open access ETD is published by The Ohio State University and OhioLINK.