Articles | Volume 5, issue 3
https://doi.org/10.5194/esurf-5-557-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/esurf-5-557-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
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
German Research Centre for Geosciences (GFZ), Telegrafenberg, 14473 Potsdam, Germany
Jens M. Turowski
German Research Centre for Geosciences (GFZ), Telegrafenberg, 14473 Potsdam, Germany
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Cited
20 citations as recorded by crossref.
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- Orinoco: Retrieving a River Delta Network with the Fast Marching Method and Python C. Marshak et al. 10.3390/ijgi9110658
- Geomorphological diversity of rivers in the Amazon Basin C. Jézéquel et al. 10.1016/j.geomorph.2021.108078
- Machine Learning Predicts Reach‐Scale Channel Types From Coarse‐Scale Geospatial Data in a Large River Basin H. Guillon et al. 10.1029/2019WR026691
- Changes in stream power and morphological adjustments at the event-scale and high spatial resolution along an ephemeral gravel-bed channel C. Conesa-García et al. 10.1016/j.geomorph.2021.108053
- Parameters of 3D Fractal Dimension for a Population of Long Spark Discharges M. Molas & M. Szewczyk 10.1109/TPWRD.2023.3339222
- A Google Earth and ArcGIS-based protocol for channel width extraction S. Kotluri et al. 10.1007/s12040-023-02229-4
- A Matlab script for the morphometric analysis of subaerial, subaquatic and extra-terrestrial rivers, channels and canyons M. Hasenhündl & K. Blanckaert 10.1016/j.cageo.2022.105080
- Dimensionless morphological ratios versus stream power variations at bankfull stage in an ephemeral channel C. Conesa-García et al. 10.1016/j.geomorph.2020.107199
- Drainage reorganization induces deviations in the scaling between valley width and drainage area E. Harel et al. 10.5194/esurf-10-875-2022
- Observations and computational multi‐phase modelling in tropical river settings show complex channel changes downstream from rainfall‐triggered landslides D. Panici et al. 10.1002/esp.5841
- Remotely sensed rivers in the Anthropocene: state of the art and prospects H. Piégay et al. 10.1002/esp.4787
- Not all who meander are lost: migrating sea lamprey follow river thalwegs to facilitate safe and efficient passage upstream K. Griffin et al. 10.1242/jeb.249539
- Planform geometric classification of fluvial and tidal channels via machine learning K. Gardner & R. Dorsey 10.1002/esp.70010
- A CNN-Based Framework for Automatic Extraction of High-Resolution River Bankfull Width W. Li et al. 10.3390/rs16234614
- Absence of well‐developed floodplains along the lowland rivers and controls of the hydrogeomorphic conditions in the Western Ghat, India S. Guha et al. 10.1002/esp.5484
- Upstream and Downstream Changes in the Channel Width and Sinuosity Due to Dam Construction in Tropical Rivers: The Case of Colombia D. Alvarado et al. 10.3390/app13127109
- Lane Centerline Extraction Based on Surveyed Boundaries: An Efficient Approach Using Maximal Disks C. Yin et al. 10.3390/s25082571
- Testing models of step formation against observations of channel steps in a steep mountain stream A. Golly et al. 10.1002/esp.4582
- RivWidthCloud: An Automated Google Earth Engine Algorithm for River Width Extraction From Remotely Sensed Imagery X. Yang et al. 10.1109/LGRS.2019.2920225
20 citations as recorded by crossref.
- A Method for Generating the Centerline of an Elongated Polygon on the Example of a Watercourse E. Lewandowicz & P. Flisek 10.3390/ijgi9050304
- Orinoco: Retrieving a River Delta Network with the Fast Marching Method and Python C. Marshak et al. 10.3390/ijgi9110658
- Geomorphological diversity of rivers in the Amazon Basin C. Jézéquel et al. 10.1016/j.geomorph.2021.108078
- Machine Learning Predicts Reach‐Scale Channel Types From Coarse‐Scale Geospatial Data in a Large River Basin H. Guillon et al. 10.1029/2019WR026691
- Changes in stream power and morphological adjustments at the event-scale and high spatial resolution along an ephemeral gravel-bed channel C. Conesa-García et al. 10.1016/j.geomorph.2021.108053
- Parameters of 3D Fractal Dimension for a Population of Long Spark Discharges M. Molas & M. Szewczyk 10.1109/TPWRD.2023.3339222
- A Google Earth and ArcGIS-based protocol for channel width extraction S. Kotluri et al. 10.1007/s12040-023-02229-4
- A Matlab script for the morphometric analysis of subaerial, subaquatic and extra-terrestrial rivers, channels and canyons M. Hasenhündl & K. Blanckaert 10.1016/j.cageo.2022.105080
- Dimensionless morphological ratios versus stream power variations at bankfull stage in an ephemeral channel C. Conesa-García et al. 10.1016/j.geomorph.2020.107199
- Drainage reorganization induces deviations in the scaling between valley width and drainage area E. Harel et al. 10.5194/esurf-10-875-2022
- Observations and computational multi‐phase modelling in tropical river settings show complex channel changes downstream from rainfall‐triggered landslides D. Panici et al. 10.1002/esp.5841
- Remotely sensed rivers in the Anthropocene: state of the art and prospects H. Piégay et al. 10.1002/esp.4787
- Not all who meander are lost: migrating sea lamprey follow river thalwegs to facilitate safe and efficient passage upstream K. Griffin et al. 10.1242/jeb.249539
- Planform geometric classification of fluvial and tidal channels via machine learning K. Gardner & R. Dorsey 10.1002/esp.70010
- A CNN-Based Framework for Automatic Extraction of High-Resolution River Bankfull Width W. Li et al. 10.3390/rs16234614
- Absence of well‐developed floodplains along the lowland rivers and controls of the hydrogeomorphic conditions in the Western Ghat, India S. Guha et al. 10.1002/esp.5484
- Upstream and Downstream Changes in the Channel Width and Sinuosity Due to Dam Construction in Tropical Rivers: The Case of Colombia D. Alvarado et al. 10.3390/app13127109
- Lane Centerline Extraction Based on Surveyed Boundaries: An Efficient Approach Using Maximal Disks C. Yin et al. 10.3390/s25082571
- Testing models of step formation against observations of channel steps in a steep mountain stream A. Golly et al. 10.1002/esp.4582
- RivWidthCloud: An Automated Google Earth Engine Algorithm for River Width Extraction From Remotely Sensed Imagery X. Yang et al. 10.1109/LGRS.2019.2920225
Latest update: 04 Jul 2025
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.
Researchers of fluvial geomorphology require reliable information on channel width and its...
