Articles | Volume 10, issue 6
The Cryosphere, 10, 2559–2571, 2016
https://doi.org/10.5194/tc-10-2559-2016
The Cryosphere, 10, 2559–2571, 2016
https://doi.org/10.5194/tc-10-2559-2016

Research article 02 Nov 2016

Research article | 02 Nov 2016

Accuracy of snow depth estimation in mountain and prairie environments by an unmanned aerial vehicle

Phillip Harder et al.

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Anna Wenzel on behalf of the Authors (26 May 2016)  Author's response    Manuscript
ED: Reconsider after major revisions (29 May 2016) by Tingjun Zhang
AR by Phillip Harder on behalf of the Authors (08 Jun 2016)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (16 Jun 2016) by Tingjun Zhang
RR by Anonymous Referee #2 (27 Jun 2016)
ED: Publish subject to technical corrections (17 Oct 2016) by Tingjun Zhang
AR by Phillip Harder on behalf of the Authors (20 Oct 2016)  Author's response    Manuscript
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Short summary
This paper assesses the accuracy of high-resolution snow depth maps generated from unmanned aerial vehicle imagery. Snow depth maps are generated from differencing snow-covered and snow-free digital surface models produced from structure from motion techniques. On average, the estimated snow depth error was 10 cm. This technique is therefore useful for observing snow accumulation and melt in deep snow but is restricted to observing peak snow accumulation in shallow snow.