2022
DOI: 10.1016/j.rse.2021.112881
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Characterization of large tsunamigenic landslides and their effects using digital surface models: A case study from Taan Fiord, Alaska

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Cited by 4 publications
(1 citation statement)
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“…Repeat DEMs obtained at different time periods can provide precise estimates of surface elevation change associated with many processes, including glacier change (e.g., Brun et al, 2017;Willis et al, 2018;Zheng et al, 2019;Shean et al, 2020), snow accumulation/melt (e.g., Deschamps-Berger et al, 2020;McGrath et al, 2019;, volcanic deformation (e.g., Bisson et al, 2021;Schaefer et al, 2012), and landslide or debris flow events (e.g., van Westen and Lulie Getahun, 2003). In particular for landslide research, previous studies have used DEM-differencing techniques to identify geomorphic changes (e.g., Corsa et al, 2022)) and precursory motion (e.g., Higman et al, 2018;Dai et al, 2020a) on timescales ranging from years (e.g., Shugar et al, 2021;Geertsema et al, 2022) to decades (e.g., Higman et al, 2018;Lacroix et al, 2020).…”
Section: Stereo-dem Generationmentioning
confidence: 99%
“…Repeat DEMs obtained at different time periods can provide precise estimates of surface elevation change associated with many processes, including glacier change (e.g., Brun et al, 2017;Willis et al, 2018;Zheng et al, 2019;Shean et al, 2020), snow accumulation/melt (e.g., Deschamps-Berger et al, 2020;McGrath et al, 2019;, volcanic deformation (e.g., Bisson et al, 2021;Schaefer et al, 2012), and landslide or debris flow events (e.g., van Westen and Lulie Getahun, 2003). In particular for landslide research, previous studies have used DEM-differencing techniques to identify geomorphic changes (e.g., Corsa et al, 2022)) and precursory motion (e.g., Higman et al, 2018;Dai et al, 2020a) on timescales ranging from years (e.g., Shugar et al, 2021;Geertsema et al, 2022) to decades (e.g., Higman et al, 2018;Lacroix et al, 2020).…”
Section: Stereo-dem Generationmentioning
confidence: 99%