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


Interactive discussion

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AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to minor revisions (review by editor) (30 Jun 2020) by Philip Marsh
AR by César Deschamps-Berger on behalf of the Authors (30 Jun 2020)  Author's response    Manuscript
ED: Publish as is (10 Jul 2020) by Philip Marsh

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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.