Characterization of large tsunamigenic landslides and their effects using digital surface models: A case study from Taan Fiord, Alaska ...

On 17 October 2015, a large landslide entered the marine waters of Taan Fiord, Alaska, and generated a displacement wave with a 193 m runup. The wave scoured the surrounding hillslopes of soil and vegetation and deposited significant volumes of material into the fjord, onto hillslopes on the opposit...

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Bibliographic Details
Main Authors: Corsa, Brianna D., Jacquemart, Mylène, Willis, Michael J., Tiampo, Kristy F.
Format: Article in Journal/Newspaper
Language:English
Published: ETH Zurich 2022
Subjects:
Tsunamigenic landslide
Tsunami scour
Satellite remote sensing
High-resolution digital surface models
DSM differencing
Topographic evolution
Volumetric changes
Subaerial erosion
Subaerial and subaqueous deposition
Natural hazards
Taan Fiord
glacier
Alaska
Online Access:https://dx.doi.org/10.3929/ethz-b-000525779
http://hdl.handle.net/20.500.11850/525779
Description
Summary:On 17 October 2015, a large landslide entered the marine waters of Taan Fiord, Alaska, and generated a displacement wave with a 193 m runup. The wave scoured the surrounding hillslopes of soil and vegetation and deposited significant volumes of material into the fjord, onto hillslopes on the opposite side of the fjord, and on top of Tyndall Glacier. For this study, we generated six, 2-m posting Digital Surface Models (DSMs) using DigitalGlobe/Maxar satellite imagery acquired near-annually between 2012 and 2019, and the Surface Extraction with TIN-based Search-space Minimization (SETSM) high-performance computing algorithm. We aligned the DSMs to exposed bedrock in the 01 March 2014 DSM acquisition, and then used them to characterize topographic and volumetric changes from before and after the 2015 Taan Fiord rock avalanche. We find that the landslide mobilized roughly 77. 0 ± 0.9 Mm3 of material, of which approximately 56.3 Mm3 were deposited in the fjord waters. Furthermore, we quantified an additional 27.2 ... : Remote Sensing of Environment, 270 ...

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