Laboratoire Image, Ville, Environnement (LIVE UMR 7362), Université de Strasbourg, CNRS, ENGEES, ZAEU LTER, 3 rue de l'Argonne, 67083 Strasbourg, France
Laboratoire Image, Ville, Environnement (LIVE UMR 7362), Université de Strasbourg, CNRS, ENGEES, ZAEU LTER, 3 rue de l'Argonne, 67083 Strasbourg, France
Valentin Chardon
Laboratoire Image, Ville, Environnement (LIVE UMR 7362), Université de Strasbourg, CNRS, ENGEES, ZAEU LTER, 3 rue de l'Argonne, 67083 Strasbourg, France
Laboratoire Image, Ville, Environnement (LIVE UMR 7362), Université de Strasbourg, CNRS, ENGEES, ZAEU LTER, 3 rue de l'Argonne, 67083 Strasbourg, France
Gilles Rixhon
Laboratoire Image, Ville, Environnement (LIVE UMR 7362), Université de Strasbourg, CNRS, ENGEES, ZAEU LTER, 3 rue de l'Argonne, 67083 Strasbourg, France
Ecole Nationale du Génie de l'Eau et de l'Environnement de Strasbourg (ENGEES), CNRS, 1 quai Koch, 67000 Strasbourg, France
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Total article views: 3,548 (including HTML, PDF, and XML)
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2,851
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Viewed (geographical distribution)
Total article views: 4,416 (including HTML, PDF, and XML)
Thereof 3,975 with geography defined
and 441 with unknown origin.
Total article views: 3,548 (including HTML, PDF, and XML)
Thereof 3,189 with geography defined
and 359 with unknown origin.
Total article views: 868 (including HTML, PDF, and XML)
Thereof 786 with geography defined
and 82 with unknown origin.
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.
Remote sensing is widely used to document historical fluvial dynamics. However, the geometric...
