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

<p>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 w...

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Main Authors: L. Benoit, A. Gourdon, R. Vallat, I. Irarrazaval, M. Gravey, B. Lehmann, G. Prasicek, D. Gräff, F. Herman, G. Mariethoz
Format: Article
Language:English
Published: Copernicus Publications 2019-04-01
Series:Earth System Science Data
Online Access:https://www.earth-syst-sci-data.net/11/579/2019/essd-11-579-2019.pdf
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author L. Benoit
A. Gourdon
A. Gourdon
R. Vallat
I. Irarrazaval
M. Gravey
B. Lehmann
G. Prasicek
G. Prasicek
D. Gräff
F. Herman
G. Mariethoz
author_facet L. Benoit
A. Gourdon
A. Gourdon
R. Vallat
I. Irarrazaval
M. Gravey
B. Lehmann
G. Prasicek
G. Prasicek
D. Gräff
F. Herman
G. Mariethoz
author_sort L. Benoit
collection DOAJ
description <p>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 <a href="https://doi.org/10.5281/zenodo.2630456">https://doi.org/10.5281/zenodo.2630456</a> (Benoit et al., 2018), consist of a series of 10&thinsp;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.</p>
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spelling doaj.art-0924cd64592448a9a8afb892d1bae1742022-12-21T20:19:25ZengCopernicus PublicationsEarth System Science Data1866-35081866-35162019-04-011157958810.5194/essd-11-579-2019A high-resolution image time series of the Gorner Glacier – Swiss Alps – derived from repeated unmanned aerial vehicle surveysL. Benoit0A. Gourdon1A. Gourdon2R. Vallat3I. Irarrazaval4M. Gravey5B. Lehmann6G. Prasicek7G. Prasicek8D. Gräff9F. Herman10G. Mariethoz11Institute of Earth Surface Dynamics (IDYST), University of Lausanne, Lausanne, SwitzerlandInstitute of Earth Surface Dynamics (IDYST), University of Lausanne, Lausanne, SwitzerlandEcole Normale Supérieure de Lyon, Département des Sciences de la Terre, Lyon, FranceInstitute of Earth Surface Dynamics (IDYST), University of Lausanne, Lausanne, SwitzerlandInstitute of Earth Surface Dynamics (IDYST), University of Lausanne, Lausanne, SwitzerlandInstitute of Earth Surface Dynamics (IDYST), University of Lausanne, Lausanne, SwitzerlandInstitute of Earth Surface Dynamics (IDYST), University of Lausanne, Lausanne, SwitzerlandInstitute of Earth Surface Dynamics (IDYST), University of Lausanne, Lausanne, SwitzerlandDepartment of Geography and Geology, University of Salzburg, Salzburg, AustriaLaboratory of Hydraulics, Hydrology and Glaciology (VAW), ETH Zürich, Zürich, SwitzerlandInstitute of Earth Surface Dynamics (IDYST), University of Lausanne, Lausanne, SwitzerlandInstitute of Earth Surface Dynamics (IDYST), University of Lausanne, Lausanne, Switzerland<p>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 <a href="https://doi.org/10.5281/zenodo.2630456">https://doi.org/10.5281/zenodo.2630456</a> (Benoit et al., 2018), consist of a series of 10&thinsp;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.</p>https://www.earth-syst-sci-data.net/11/579/2019/essd-11-579-2019.pdf
spellingShingle L. Benoit
A. Gourdon
A. Gourdon
R. Vallat
I. Irarrazaval
M. Gravey
B. Lehmann
G. Prasicek
G. Prasicek
D. Gräff
F. Herman
G. Mariethoz
A high-resolution image time series of the Gorner Glacier – Swiss Alps – derived from repeated unmanned aerial vehicle surveys
Earth System Science Data
title A high-resolution image time series of the Gorner Glacier – Swiss Alps – derived from repeated unmanned aerial vehicle surveys
title_full A high-resolution image time series of the Gorner Glacier – Swiss Alps – derived from repeated unmanned aerial vehicle surveys
title_fullStr A high-resolution image time series of the Gorner Glacier – Swiss Alps – derived from repeated unmanned aerial vehicle surveys
title_full_unstemmed A high-resolution image time series of the Gorner Glacier – Swiss Alps – derived from repeated unmanned aerial vehicle surveys
title_short A high-resolution image time series of the Gorner Glacier – Swiss Alps – derived from repeated unmanned aerial vehicle surveys
title_sort high resolution image time series of the gorner glacier swiss alps derived from repeated unmanned aerial vehicle surveys
url https://www.earth-syst-sci-data.net/11/579/2019/essd-11-579-2019.pdf
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