Articles | Volume 8, issue 2
Earth Surf. Dynam., 8, 471–484, 2020
https://doi.org/10.5194/esurf-8-471-2020
Earth Surf. Dynam., 8, 471–484, 2020
https://doi.org/10.5194/esurf-8-471-2020

Research article 03 Jun 2020

Research article | 03 Jun 2020

Measuring river planform changes from remotely sensed data – a Monte Carlo approach to assessing the impact of spatially variable error

Timothée Jautzy et al.

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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 Anna Wenzel on behalf of the Authors (19 Mar 2020)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (27 Mar 2020) by Francois Metivier
RR by Anonymous Referee #1 (08 Apr 2020)
ED: Publish subject to minor revisions (review by editor) (15 Apr 2020) by Francois Metivier
AR by Timothée Jautzy on behalf of the Authors (22 Apr 2020)  Author's response    Manuscript
ED: Publish as is (29 Apr 2020) by Francois Metivier
ED: Publish as is (29 Apr 2020) by Tom Coulthard(Editor)
AR by Timothée Jautzy on behalf of the Authors (30 Apr 2020)  Author's response    Manuscript
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Short summary
Remote sensing is widely used to document historical fluvial dynamics. However, the geometric error affecting the inferred planform changes can result in undesired geomorphological misinterpretation. Here, we present a novel approach to quantify the uncertainty associated with eroded/deposited surfaces. Concluding that this uncertainty depends on the magnitude and the shape of the surficial changes, restoration programs targeting lateral mobility of streams can benefit from our approach.