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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Format: | Article |
Language: | English |
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Copernicus Publications
2019-04-01
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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 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> |
first_indexed | 2024-12-19T13:30:19Z |
format | Article |
id | doaj.art-0924cd64592448a9a8afb892d1bae174 |
institution | Directory Open Access Journal |
issn | 1866-3508 1866-3516 |
language | English |
last_indexed | 2024-12-19T13:30:19Z |
publishDate | 2019-04-01 |
publisher | Copernicus Publications |
record_format | Article |
series | Earth System Science Data |
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 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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