Articles | Volume 12, issue 11
The Cryosphere, 12, 3535–3550, 2018
https://doi.org/10.5194/tc-12-3535-2018
The Cryosphere, 12, 3535–3550, 2018
https://doi.org/10.5194/tc-12-3535-2018

Research article 13 Nov 2018

Research article | 13 Nov 2018

Monitoring snow depth change across a range of landscapes with ephemeral snowpacks using structure from motion applied to lightweight unmanned aerial vehicle videos

Richard Fernandes 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 (24 Aug 2018)  Author's response
ED: Referee Nomination & Report Request started (03 Sep 2018) by Etienne Berthier
RR by Anonymous Referee #1 (25 Sep 2018)
RR by Anonymous Referee #2 (05 Oct 2018)
ED: Publish subject to technical corrections (09 Oct 2018) by Etienne Berthier
AR by Richard Fernandes on behalf of the Authors (11 Oct 2018)  Author's response    Manuscript
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Short summary
The use of lightweight UAV-based surveys of surface elevation to map snow depth and weekly snow depth change was evaluated over five study areas spanning a range of topography and vegetation cover. Snow depth was estimated with an accuracy of better than 10 cm in the vertical and 3 cm in the horizontal. Vegetation in the snow-free elevation map was a major source of error. As a result, the snow depth change between two dates with snow cover was estimated with an accuracy of better than 4 cm.