Articles | Volume 7, issue 1
https://doi.org/10.5194/esurf-7-211-2019
https://doi.org/10.5194/esurf-7-211-2019
Research article
 | 
18 Feb 2019
Research article |  | 18 Feb 2019

A segmentation approach for the reproducible extraction and quantification of knickpoints from river long profiles

Boris Gailleton, Simon M. Mudd, Fiona J. Clubb, Daniel Peifer, and Martin D. Hurst

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
AR by Boris Gailleton on behalf of the Authors (10 Dec 2018)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (14 Dec 2018) by Giulia Sofia
RR by Stefan Hergarten (02 Jan 2019)
RR by Wolfgang Schwanghart (03 Jan 2019)
ED: Publish subject to minor revisions (review by editor) (10 Jan 2019) by Giulia Sofia
AR by Boris Gailleton on behalf of the Authors (18 Jan 2019)  Author's response   Manuscript 
ED: Publish as is (23 Jan 2019) by Giulia Sofia
ED: Publish as is (29 Jan 2019) by Niels Hovius (Editor)
AR by Boris Gailleton on behalf of the Authors (03 Feb 2019)  Manuscript 
Download
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.