Articles | Volume 19, issue 6
https://doi.org/10.5194/hess-19-2963-2015
https://doi.org/10.5194/hess-19-2963-2015
Technical note
 | 
26 Jun 2015
Technical note |  | 26 Jun 2015

Technical Note: Semi-automated effective width extraction from time-lapse RGB imagery of a remote, braided Greenlandic river

C. J. Gleason, L. C. Smith, D. C. Finnegan, A. L. LeWinter, L. H Pitcher, and V. W. Chu

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
ED: Publish subject to minor revisions (Editor review) (14 Apr 2015) by Theresa Blume
AR by Colin Gleason on behalf of the Authors (17 Apr 2015)  Author's response   Manuscript 
ED: Publish subject to minor revisions (Editor review) (05 May 2015) by Theresa Blume
AR by Colin Gleason on behalf of the Authors (07 May 2015)  Author's response   Manuscript 
ED: Publish subject to minor revisions (Editor review) (08 May 2015) by Theresa Blume
AR by Colin Gleason on behalf of the Authors (19 May 2015)  Author's response   Manuscript 
ED: Publish subject to minor revisions (Editor review) (02 Jun 2015) by Theresa Blume
AR by Colin Gleason on behalf of the Authors (02 Jun 2015)  Author's response   Manuscript 
ED: Publish as is (03 Jun 2015) by Theresa Blume
AR by Colin Gleason on behalf of the Authors (03 Jun 2015)
Download
Short summary
Here, we give a semi-automated processing workflow to extract hydraulic parameters from over 10,000 time-lapse images of the remote Isortoq River in Greenland. This workflow allows efficient and accurate (mean accuracy 79.6%) classification of images following an automated similarity filtering process. We also give an effective width hydrograph (a proxy for discharge) for the Isortoq using this workflow, showing the potential of this workflow for enhancing understanding of remote rivers.