Articles | Volume 8, issue 1
Geosci. Instrum. Method. Data Syst., 8, 113–127, 2019
Geosci. Instrum. Method. Data Syst., 8, 113–127, 2019
Research article
29 Mar 2019
Research article | 29 Mar 2019

Automatic detection of calving events from time-lapse imagery at Tunabreen, Svalbard

Dorothée Vallot et al.

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Cited articles

Adinugroho, S.: Calving Events Detection and Quantification from Time-lapse Images: A Case Study of Tunabreen Glacier, Svalbard, Master's thesis, Uppsala University, Department of Information Technology, 2015. a
Adinugroho, S., Vallot, D., Westrin, P., and Strand, R.: Calving Events Detection and Quantification from Time-lapse Images in Tunabreen Glacier, in: 2015 International Conference on information & Communication technology and systems (ICTS), IEEE, Surabaya, 16 September,, 2015. a, b
Ahn, Y. and Box, J. E.: Glacier velocities from time-lapse photos: technique development and first results from the Extreme Ice Survey (EIS) in Greenland, J. Glaciol., 56, 723–734,, 2010. a
Amundson, J. M. and Truffer, M.: A unifying framework for iceberg-calving models, J. Glaciol., 56, 822–830,, 2010. a
Åström, J. A., Riikilä, T. I., Tallinen, T., Zwinger, T., Benn, D., Moore, J. C., and Timonen, J.: A particle based simulation model for glacier dynamics, The Cryosphere, 7, 1591–1602,, 2013. a
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.