Articles | Volume 8, issue 1
https://doi.org/10.5194/gi-8-113-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gi-8-113-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
29 Mar 2019
Research article |
| 29 Mar 2019
| 29 Mar 2019
Automatic detection of calving events from time-lapse imagery at Tunabreen, Svalbard
Dorothée Vallot
CORRESPONDING AUTHOR
Department of Earth Sciences, Uppsala University, Uppsala, Sweden
Sigit Adinugroho
Faculty of Computer Science, Brawijaya University, Malang, Indonesia
Centre for Image Analysis, Department of Information Technology, Uppsala University, Uppsala, Sweden
Robin Strand
Centre for Image Analysis, Department of Information Technology, Uppsala University, Uppsala, Sweden
Penelope How
Institute of Geography, School of GeoSciences, University of Edinburgh, Edinburgh, UK
Rickard Pettersson
Department of Earth Sciences, Uppsala University, Uppsala, Sweden
Douglas I. Benn
School of Geography and Geosciences, University St Andrews, St Andrews, UK
Nicholas R. J. Hulton
Department of Arctic Geology, UNIS, The University Center in Svalbard, Svalbard, Norway
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Short summary
This paper presents a novel method to quantify the sizes and frequency of calving events from time-lapse camera images. The calving front of a tidewater glacier experiences different episodes of iceberg deliveries that can be captured by a time-lapse camera situated in front of the glacier. An automatic way of detecting calving events is presented here and compared to manually detected events.
This paper presents a novel method to quantify the sizes and frequency of calving events from...
