Articles | Volume 14, issue 9
Research article
10 Sep 2020
Research article |  | 10 Sep 2020

Snow depth mapping from stereo satellite imagery in mountainous terrain: evaluation using airborne laser-scanning data

César Deschamps-Berger, Simon Gascoin, Etienne Berthier, Jeffrey Deems, Ethan Gutmann, Amaury Dehecq, David Shean, and Marie Dumont


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Latest update: 15 Apr 2024

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Short summary
We evaluate a recent method to map snow depth based on satellite photogrammetry. We compare it with accurate airborne laser-scanning measurements in the Sierra Nevada, USA. We find that satellite data capture the relationship between snow depth and elevation at the catchment scale and also small-scale features like snow drifts and avalanche deposits. We conclude that satellite photogrammetry stands out as a convenient method to estimate the spatial distribution of snow depth in high mountains.