Articles | Volume 7, issue 1
https://doi.org/10.5194/esurf-7-211-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/esurf-7-211-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
18 Feb 2019
Research article |
| 18 Feb 2019
| 18 Feb 2019
A segmentation approach for the reproducible extraction and quantification of knickpoints from river long profiles
School of GeoSciences, University of Edinburgh, Drummond Street, Edinburgh EH8 9XP, UK
Simon M. Mudd
School of GeoSciences, University of Edinburgh, Drummond Street, Edinburgh EH8 9XP, UK
Fiona J. Clubb
Institute of Earth and Environmental Science, University of Potsdam, 14476 Potsdam-Golm, Germany
Daniel Peifer
School of Geographical and Earth Sciences, University of Glasgow, University Avenue, Glasgow G12 8QQ, UK
Martin D. Hurst
School of Geographical and Earth Sciences, University of Glasgow, University Avenue, Glasgow G12 8QQ, UK
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Discussed (preprint)
Latest update: 23 Nov 2024
Short summary
The shape of landscapes is influenced by climate changes, faulting or the nature of the rocks under the surface. One of the most sensitive parts of the landscape to these changes is the river system that eventually adapts to such changes by adapting its slope, the most extreme example being a waterfall. We here present an algorithm that extracts changes in river slope over large areas from satellite data with the aim of investigating climatic, tectonic or geologic changes in the landscape.
The shape of landscapes is influenced by climate changes, faulting or the nature of the rocks...
