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Abstract
Abstract. Snow avalanches are the result of unstable snow masses that detach from steep slopes as consequence of changes in snowpack structure. Nowadays, remote sensing technologies can improve the knowledge of avalanches phenomenon. This work focuses on the use of high point density aerial LiDAR (Light Detection And Ranging) technology as support to avalanche events prevention and risk mitigation, by presenting an operative application at Colle della Maddalena (Italy), along the road SS n. 21, nearby the French state border. The area is often involved in intense avalanche events that adversely impact on traffic and freight transport. For this reason, regional administrations will activate the Avalanche Artificial Detachment Intervention Plan (PIDAV, 2012) in order to prevent and manage the avalanche risk in the study area, also adopting artificial detachment systems. Main aim of the present work was to generate high resolution information related to geomorphological characterization (i.e. digital elevation models, slope and aspect) of avalanche sites derived from LiDAR data processing, that will help involved authorities in the management of the avalanche control plan. Digital elevation models at 0.5 m of spatial resolution were generated together with relative tridimensional models. Secondly, a preliminary investigation about capabilities and limits of LiDAR technology was done in the identification of avalanche sites only relying on geomorphological information directly derived by LiDAR data processing. Results showed that position of avalanche sites were correctly identified while no information could be obtained about the extension of the sliding area and identification of detachment areas.
Highlights
Mountain areas, due to the high geomorphology variability, are typically subjected to natural hazards such as snow avalanches
The study area is located at Colle della Maddalena (Argentera, CN, Italy) nearby the French state border, and concerns the right orographic mountain slope above the terminal part of the road SS n. 21
This work was mainly aimed at presenting an operative application of the use of high density aerial LiDAR technology in support to avalanche events prevention and risk mitigation
Summary
Due to the high geomorphology variability, are typically subjected to natural hazards such as snow avalanches. These are the result of unstable snow masses that detach from steep slopes as consequence of changes in snowpack structure mainly due to modifications of environmental temperature conditions, with a direct influence on water content and cohesion within snow cover (Lato et al, 2012). Snow avalanche formation is typically depending on parameters such as snowfall, temperature, wind direction and speed, snowpack conditions, slope orientation, terrain conditions and vegetation presence (Armstrong and Armstrong, 1987; Gubler and Bader, 1989; McClung and Schaerer, 1993). Field-testing of snow properties, field investigation of avalanche activity and dynamics, and modeling of both, are used to study avalanche formation and risk (Eckerstorfer et al, 2016)
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