Articles | Volume 5, issue 3
Earth Surf. Dynam., 5, 557–570, 2017
https://doi.org/10.5194/esurf-5-557-2017
Earth Surf. Dynam., 5, 557–570, 2017
https://doi.org/10.5194/esurf-5-557-2017

Research article 14 Sep 2017

Research article | 14 Sep 2017

Deriving principal channel metrics from bank and long-profile geometry with the R package cmgo

Antonius Golly and Jens M. Turowski

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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 Antonius Golly on behalf of the Authors (19 Jul 2017)  Author's response    Manuscript
ED: Publish subject to minor revisions (review by Editor) (04 Aug 2017) by Arjen Stroeven
AR by Anna Mirena Feist-Polner on behalf of the Authors (15 Aug 2017)  Author's response
ED: Publish as is (17 Aug 2017) by Arjen Stroeven
ED: Publish as is (21 Aug 2017) by Tom Coulthard(Editor)
AR by Antonius Golly on behalf of the Authors (22 Aug 2017)  Author's response
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Short summary
Researchers of fluvial geomorphology require reliable information on channel width and its change in space and time. For example, to study bank erosion rates we need the local position of channel banks before and after a high flood event. Although deriving these metrics seems simple, researchers often use manual or arbitrary approaches that are not objective and reproducible. Here, we present an open-source software tool cmgo (R package) that meets the requirements of academic research.