A high-resolution image time series of the Gorner Glacier – Swiss Alps – derived from repeated unmanned aerial vehicle surveys

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Ressource 1Télécharger: essd-11-579-2019.pdf (4122.73 [Ko])
Etat: Public
Version: Final published version
Licence: CC BY 4.0
ID Serval
serval:BIB_F3D9ADB37803
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
A high-resolution image time series of the Gorner Glacier – Swiss Alps – derived from repeated unmanned aerial vehicle surveys
Périodique
Earth System Science Data
Auteur⸱e⸱s
Benoit Lionel, Gourdon Aurelie, Vallat Raphaël, Irarrazaval Inigo, Gravey Mathieu, Lehmann Benjamin, Prasicek Günther, Gräff Dominik, Herman Frederic, Mariethoz Gregoire
ISSN
1866-3516
ISSN-L
1866-3516
Statut éditorial
Publié
Date de publication
30/04/2019
Peer-reviewed
Oui
Volume
11
Numéro
2
Pages
579-588
Langue
anglais
Résumé
Modern drone technology provides an efficient means to monitor the response of alpine glaciers to climate warming. Here we present a new topographic dataset based on images collected during 10 UAV surveys of the Gorner Glacier glacial system (Switzerland) carried out approximately every 2 weeks throughout the summer of 2017. The final products, available at https://doi.org/10.5281/zenodo.2630456 (Benoit et al., 2018), consist of a series of 10 cm resolution orthoimages, digital elevation models of the glacier surface, and maps of ice surface displacement. Used on its own, this dataset allows mapping of the glacier and monitoring surface velocities over the summer at a very high spatial resolution. Coupled with a classification or feature detection algorithm, it enables the extraction of structures such as surface drainage networks, debris, or snow cover. The approach we present can be used in the future to gain insights into ice flow dynamics.
Mots-clé
General Earth and Planetary Sciences
Web of science
Open Access
Oui
Création de la notice
14/05/2019 12:02
Dernière modification de la notice
11/01/2023 7:15
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