Articles | Volume 10, issue 2
https://doi.org/10.5194/tc-10-511-2016
https://doi.org/10.5194/tc-10-511-2016
Research article
 | 
04 Mar 2016
Research article |  | 04 Mar 2016

Using a fixed-wing UAS to map snow depth distribution: an evaluation at peak accumulation

Carlo De Michele, Francesco Avanzi, Daniele Passoni, Riccardo Barzaghi, Livio Pinto, Paolo Dosso, Antonio Ghezzi, Roberto Gianatti, and Giacomo Della Vedova

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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 Francesco Avanzi on behalf of the Authors (27 Jun 2015)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (25 Jul 2015) by Philip Marsh
RR by Steven Fassnacht (12 Aug 2015)
RR by Anonymous Referee #3 (13 Aug 2015)
RR by Davide Bavera (20 Aug 2015)
ED: Reject (19 Oct 2015) by Philip Marsh
ED: Publish subject to minor revisions (Editor review) (20 Jan 2016) by Philip Marsh
AR by Francesco Avanzi on behalf of the Authors (02 Feb 2016)  Author's response   Manuscript 
ED: Publish as is (12 Feb 2016) by Philip Marsh
AR by Francesco Avanzi on behalf of the Authors (12 Feb 2016)
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Short summary
We investigate snow depth distribution at peak accumulation over a small Alpine area using photogrammetry-based surveys with a fixed wing unmanned aerial system. Results reveal that UAS estimations of point snow depth present an average difference with reference to manual measurements equal to -0.073 m. Moreover, in this case study snow depth standard deviation (hence coefficient of variation) increases with decreasing cell size, but it stabilizes for resolutions smaller than 1 m.