Articles | Volume 8, issue 2
https://doi.org/10.5194/esurf-8-471-2020
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, Pierre-Alexis Herrault, Valentin Chardon, Laurent Schmitt, and Gilles Rixhon

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Latest update: 23 Feb 2024
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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.