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

Vallot, Dorothée; Adinugroho, Sigit; Strand, Robin; How, Penelope; Pettersson, Rickard; Benn, Douglas I.; Hulton, Nicholas R. J.

doi:https://doi.org/10.5194/gi-8-113-2019

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.

https://doi.org/10.5194/gi-8-113-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 8, issue 1

Research article

|

29 Mar 2019

Research article |

| 29 Mar 2019

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

Dorothée Vallot, Sigit Adinugroho, Robin Strand, Penelope How, Rickard Pettersson, Douglas I. Benn, and Nicholas R. J. Hulton

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Final revised paper (published on 29 Mar 2019)
Preprint (discussion started on 02 Jul 2018)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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RC1: 'Machine Vision', Alexander Duda, 08 Nov 2018
- AC1: 'Reply to referee comment RC1', Dorothée Vallot, 01 Jan 2019
RC2: 'Revision suggestions', Anonymous Referee #4, 28 Jan 2019

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.