Articles | Volume 5, issue 3
Earth Surf. Dynam., 5, 557–570, 2017
Earth Surf. Dynam., 5, 557–570, 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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Cited articles

Ackerman, P. E. C. T.: HEC-GeoRAS GIS Tools for Support of HEC-RAS using ArcGIS User's Manual, USArmy Corps of Engineers, Davis, California, p. 244, 2011.
Amit: Estimating river Channel Width using Python/ArcGIS/MATLAB/R?, available at: (last access: 14 March 2017), 2015.
Asterics: Software-Handbuch ASTERICS, Version 4.1, 1–120, available at: (last access: 13 September 2017), 2013.
Cook, K. L., Turowski, J. M., and Hovius, N.: River gorge eradication by downstream sweep erosion, Nat. Geosci., 7, 682–686,, 2014.
Dilts, T. E.: Polygon to Centerline Tool for ArcGIS, University of Nevada, Reno, available at: (last access: 15 March 2017), 2015.
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.