Computer vision enables short- and long-term analysis of Lophelia pertusa polyp behaviour and colour from an underwater observatory
An array of sensors, including an HD camera mounted on a Fixed Underwater Observatory (FUO) were used to monitor a cold-water coral ( Lophelia pertusa ) reef in the Lofoten-Vesterålen area from April to November 2015. Image processing and deep learning enabled extraction of time series describing ch...
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ftnioz:oai:imis.nioz.nl:310806 2023-05-15T17:08:18+02:00 Computer vision enables short- and long-term analysis of Lophelia pertusa polyp behaviour and colour from an underwater observatory Osterloff, J. Nilssen, I. Järnegren, J. van Engeland, T. Buhl-Mortensen, P. Nattkemper, T.W. 2019 application/pdf https://www.vliz.be/imisdocs/publications/82/330182.pdf en eng info:eu-repo/semantics/altIdentifier/wos/000466127100003 info:eu-repo/semantics/altIdentifier/doi/doi.org/10.1038/s41598-019-41275-1 https://www.vliz.be/imisdocs/publications/82/330182.pdf info:eu-repo/semantics/openAccess %3Ci%3ENPG+Scientific+Reports+9%281%29%3C%2Fi%3E%3A+6578.+%3Ca+href%3D%22https%3A%2F%2Fdx.doi.org%2F10.1038%2Fs41598-019-41275-1%22+target%3D%22_blank%22%3Ehttps%3A%2F%2Fdx.doi.org%2F10.1038%2Fs41598-019-41275-1%3C%2Fa%3E lophelia pertusa [spider hazards] info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 2019 ftnioz https://doi.org/10.1038/s41598-019-41275-1 2022-05-01T14:09:30Z An array of sensors, including an HD camera mounted on a Fixed Underwater Observatory (FUO) were used to monitor a cold-water coral ( Lophelia pertusa ) reef in the Lofoten-Vesterålen area from April to November 2015. Image processing and deep learning enabled extraction of time series describing changes in coral colour and polyp activity (feeding). The image data was analysed together with data from the other sensors from the same period, to provide new insights into the short- and long-term dynamics in polyp features. The results indicate that diurnal variations and tidal current influenced polyp activity, by controlling the food supply. On a longer time-scale, the coral’s tissue colour changed from white in the spring to slightly red during the summer months, which can be explained by a seasonal change in food supply. Our work shows, that using an effective integrative computational approach, the image time series is a new and rich source of information to understand and monitor the dynamics in underwater environments due to the high temporal resolution and coverage enabled with FUOs. Article in Journal/Newspaper Lofoten Lophelia pertusa Vesterålen NIOZ Repository (Royal Netherlands Institute for Sea Research) Lofoten Vesterålen ENVELOPE(14.939,14.939,68.754,68.754) Scientific Reports 9 1 |
institution |
Open Polar |
collection |
NIOZ Repository (Royal Netherlands Institute for Sea Research) |
op_collection_id |
ftnioz |
language |
English |
topic |
lophelia pertusa [spider hazards] |
spellingShingle |
lophelia pertusa [spider hazards] Osterloff, J. Nilssen, I. Järnegren, J. van Engeland, T. Buhl-Mortensen, P. Nattkemper, T.W. Computer vision enables short- and long-term analysis of Lophelia pertusa polyp behaviour and colour from an underwater observatory |
topic_facet |
lophelia pertusa [spider hazards] |
description |
An array of sensors, including an HD camera mounted on a Fixed Underwater Observatory (FUO) were used to monitor a cold-water coral ( Lophelia pertusa ) reef in the Lofoten-Vesterålen area from April to November 2015. Image processing and deep learning enabled extraction of time series describing changes in coral colour and polyp activity (feeding). The image data was analysed together with data from the other sensors from the same period, to provide new insights into the short- and long-term dynamics in polyp features. The results indicate that diurnal variations and tidal current influenced polyp activity, by controlling the food supply. On a longer time-scale, the coral’s tissue colour changed from white in the spring to slightly red during the summer months, which can be explained by a seasonal change in food supply. Our work shows, that using an effective integrative computational approach, the image time series is a new and rich source of information to understand and monitor the dynamics in underwater environments due to the high temporal resolution and coverage enabled with FUOs. |
format |
Article in Journal/Newspaper |
author |
Osterloff, J. Nilssen, I. Järnegren, J. van Engeland, T. Buhl-Mortensen, P. Nattkemper, T.W. |
author_facet |
Osterloff, J. Nilssen, I. Järnegren, J. van Engeland, T. Buhl-Mortensen, P. Nattkemper, T.W. |
author_sort |
Osterloff, J. |
title |
Computer vision enables short- and long-term analysis of Lophelia pertusa polyp behaviour and colour from an underwater observatory |
title_short |
Computer vision enables short- and long-term analysis of Lophelia pertusa polyp behaviour and colour from an underwater observatory |
title_full |
Computer vision enables short- and long-term analysis of Lophelia pertusa polyp behaviour and colour from an underwater observatory |
title_fullStr |
Computer vision enables short- and long-term analysis of Lophelia pertusa polyp behaviour and colour from an underwater observatory |
title_full_unstemmed |
Computer vision enables short- and long-term analysis of Lophelia pertusa polyp behaviour and colour from an underwater observatory |
title_sort |
computer vision enables short- and long-term analysis of lophelia pertusa polyp behaviour and colour from an underwater observatory |
publishDate |
2019 |
url |
https://www.vliz.be/imisdocs/publications/82/330182.pdf |
long_lat |
ENVELOPE(14.939,14.939,68.754,68.754) |
geographic |
Lofoten Vesterålen |
geographic_facet |
Lofoten Vesterålen |
genre |
Lofoten Lophelia pertusa Vesterålen |
genre_facet |
Lofoten Lophelia pertusa Vesterålen |
op_source |
%3Ci%3ENPG+Scientific+Reports+9%281%29%3C%2Fi%3E%3A+6578.+%3Ca+href%3D%22https%3A%2F%2Fdx.doi.org%2F10.1038%2Fs41598-019-41275-1%22+target%3D%22_blank%22%3Ehttps%3A%2F%2Fdx.doi.org%2F10.1038%2Fs41598-019-41275-1%3C%2Fa%3E |
op_relation |
info:eu-repo/semantics/altIdentifier/wos/000466127100003 info:eu-repo/semantics/altIdentifier/doi/doi.org/10.1038/s41598-019-41275-1 https://www.vliz.be/imisdocs/publications/82/330182.pdf |
op_rights |
info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.1038/s41598-019-41275-1 |
container_title |
Scientific Reports |
container_volume |
9 |
container_issue |
1 |
_version_ |
1766064017849188352 |