Mapping Erosion and Deposition Patterns by Dirty Snow Avalanches Using Structure-from-Motion Photogrammetry

Abstract ID: 3.8015 | Accepted as Poster | Poster | TBA | TBA

Magdalena Koschmieder (1)
Arnaud Temme (1)
(1) Universität Innsbruck, Innrain 52f, 6020 Innsbruck, AT

Categories: Cryo- & Hydrosphere, Fieldwork, Hazards, Others, Remote Sensing
Keywords: Dirty snow avalanches, Soil erosion, Snow sampling, Avalanche erosion, SfM Photogrammetry

Categories: Cryo- & Hydrosphere, Fieldwork, Hazards, Others, Remote Sensing
Keywords: Dirty snow avalanches, Soil erosion, Snow sampling, Avalanche erosion, SfM Photogrammetry

The content was (partly) adapted by AI
Content (partly) adapted by AI

Gravitational mass movements and hydrological processes erode material on hillslopes and transport it to areas of deposition. By doing so, they contribute to soil formation and shape landscapes on different time scales depending on their magnitude and frequency. Among these processes are debris flows and rainfall runoff, but also full-depth avalanches. In this case, not the material itself is moving, but the snow cover, that glides over the ground and can take up sediment. In the process, glide avalanches become so-called “dirty snow avalanches”.
While conventional field methods such as snow sampling and mapping deposits on printed aerial images have been applied to estimate the amount of soil erosion by dirty snow avalanches, the specific patterns of erosion and deposition they produce remain poorly quantified.
This study aims to bridge this gap by applying structure from motion photogrammetry in order to create DoDs and map areas of erosion and deposition more accurately. Furthermore, snow sampling was employed to quantify the sediment volume transported by the avalanches.
We will present preliminary results from the avalanches we observed and sampled. This includes point cloud comparisons of the time soon after the event and when the avalanche has melted.

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