Articles | Volume 10, issue 6
https://doi.org/10.5194/tc-10-2559-2016
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, Michael Schirmer, John Pomeroy, and Warren Helgason

Download

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Phillip Harder on behalf of the Authors (25 May 2016)
ED: Reconsider after major revisions (29 May 2016) by Tingjun Zhang (deceased)
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 (deceased)
RR by Anonymous Referee #2 (27 Jun 2016)
ED: Publish subject to technical corrections (17 Oct 2016) by Tingjun Zhang (deceased)
AR by Phillip Harder on behalf of the Authors (20 Oct 2016)  Author's response   Manuscript 
Download
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.