2019
DOI: 10.5194/nhess-2019-329
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Quantifying seasonal cornice dynamics using a terrestrial laser scanner in Svalbard, Norway

Abstract: Abstract. Snow cornices develop along mountain ridges, edges of plateaus, and marked inflections in topography throughout regions with seasonal and permanent snow cover. Despite the recognized hazard posed by cornices in mountainous locations, limited modern research on cornice dynamics exists and accurately forecasting cornice failure continues to be problematic. Cornice failures and associated cornice fall avalanches comprise a majority of observed avalanche activity and endanger human life and infrastructur… Show more

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Cited by 3 publications
(2 citation statements)
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“…The best known LiDAR sensor for the application on snow and ice is the Riegl VZ6000 terrestrial laser scanner (TLS), which was especially developed for that purpose. It uses a wavelength of 1064 nm and has a measurement range of up to 6000 m. It is used in various applications, often to measure glaciers at large scale (Voordendag et al, 2021;LeWinter et al, 2014), or studies to monitor snow surface variations (Hancock et al, 2018;Fey et al, 2019).…”
Section: Introductionmentioning
confidence: 99%
“…The best known LiDAR sensor for the application on snow and ice is the Riegl VZ6000 terrestrial laser scanner (TLS), which was especially developed for that purpose. It uses a wavelength of 1064 nm and has a measurement range of up to 6000 m. It is used in various applications, often to measure glaciers at large scale (Voordendag et al, 2021;LeWinter et al, 2014), or studies to monitor snow surface variations (Hancock et al, 2018;Fey et al, 2019).…”
Section: Introductionmentioning
confidence: 99%
“…The best known LiDAR sensor for the application on snow and ice is the Riegl VZ6000 terrestrial laser scanner (TLS), which was especially developed for that purpose. It uses a wavelength of 1064 nm and has a measurement range of up to 6000 m. It is used in various applications, often to measure glaciers at large scale (Voordendag et al, 2021;LeWinter et al, 2014), or studies to monitor snow surface variations (Hancock et al, 2018;Fey et al, 2019).…”
Section: Introductionmentioning
confidence: 99%