Remotely sensed rivers in the Anthropocene: state of the art and prospects

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Etat: Public
Version: Final published version
Licence: Tous droits réservés
ID Serval
serval:BIB_89C3DA6047A8
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
Remotely sensed rivers in the Anthropocene: state of the art and prospects
Périodique
Earth Surface Processes and Landforms
Auteur⸱e⸱s
Piégay Hervé, Arnaud Fanny, Belletti Barbara, Bertrand Mélanie, Bizzi Simone, Carbonneau Patrice, Dufour Simon, Liébault Frédéric, Ruiz-Villanueva Virginia, Slater Louise
ISSN
0197-9337
1096-9837
Statut éditorial
Publié
Date de publication
01/2020
Peer-reviewed
Oui
Volume
45
Numéro
1
Pages
157-188
Langue
anglais
Résumé
The rivers of the world are undergoing accelerated change in the Anthropocene, and need to be managed at much broader spatial and temporal scales than before. Fluvial remote sensing now offers a technical and methodological framework that can be deployed to monitor the processes at work and to assess the trajectories of rivers in the Anthropocene. In this paper, we review research investigating past, present and future fluvial corridor conditions and processes using remote sensing and we consider emerging challenges facing fluvial and riparian research. We introduce a suite of remote sensing methods designed to diagnose river changes at reach to regional scales. We then focus on identification of channel patterns and acting processes from satellite, airborne or ground acquisitions. These techniques range from grain scales to landform scales, and from real time scales to inter-annual scales. We discuss how remote sensing data can now be coupled to catchment scale models that simulate sediment transfer within connected river networks. We also consider future opportunities in terms of datasets and other resources which are likely to impact river management and monitoring at the global scale. We conclude with a summary of challenges and prospects for remotely sensed rivers in the Anthropocene.
Mots-clé
remote sensing, GIS drone, fluvial geomorphology, biogeomorphology, channel changes, riparian vegetation, sediment transport modelling, grain size: fluvial corridor
Web of science
Open Access
Oui
Création de la notice
23/06/2020 8:53
Dernière modification de la notice
07/12/2022 7:50
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