A Novel Technique for Photo-Identification of the Fin Whale, Balaenoptera physalus, as Determined by Drone Aerial Images

Drones have become a crucial research tool across marine environments over the past decade, being specifically useful in marine mammal research. Fin whales (Balaenoptera physalus) have been monitored feeding along the Catalan coast, Spain (NW Mediterranean), since 2014. To overcome issues such as th...

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Published in:Drones
Main Authors: Eduard Degollada, Natalia Amigó, Seán O’Callaghan, Mila Varola, Katia Ruggero, Beatriu Tort
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2023
Subjects:
UAV
Online Access:https://doi.org/10.3390/drones7030220
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record_format openpolar
spelling ftmdpi:oai:mdpi.com:/2504-446X/7/3/220/ 2023-08-20T04:05:26+02:00 A Novel Technique for Photo-Identification of the Fin Whale, Balaenoptera physalus, as Determined by Drone Aerial Images Eduard Degollada Natalia Amigó Seán O’Callaghan Mila Varola Katia Ruggero Beatriu Tort 2023-03-22 application/pdf https://doi.org/10.3390/drones7030220 EN eng Multidisciplinary Digital Publishing Institute Drones in Ecology https://dx.doi.org/10.3390/drones7030220 https://creativecommons.org/licenses/by/4.0/ Drones; Volume 7; Issue 3; Pages: 220 whale identification UAV fin whale central chevron pattern blaze dorsal fin Catalan coast Text 2023 ftmdpi https://doi.org/10.3390/drones7030220 2023-08-01T09:23:04Z Drones have become a crucial research tool across marine environments over the past decade, being specifically useful in marine mammal research. Fin whales (Balaenoptera physalus) have been monitored feeding along the Catalan coast, Spain (NW Mediterranean), since 2014. To overcome issues such as the distance between a whale and a research vessel or the lack of distinctive dorsal fin features, an aerial identification technique was developed. It uses the fin whales’ characteristic central chevron pattern (CCP) and blaze, which are clearly visible from an overhead position. A total of 237 individual whales were identified between 2015–2022 in this study area, of which there were 35 interannual recaptures. While the dorsal fin may undergo modifications over time, the CCP and blaze patterns did not naturally alter over the years, with one whale displaying the same characteristics 8 years apart between the first and the most recent sightings. As such, this coloration pattern provides a reliable identification feature to be used for the interannual identification and population monitoring of fin whales using drones. This novel technique aims to improve and unify this species cataloguing overseas by using the CCP and blaze obtained from UAV (unmanned aerial vehicle) zenithal videos as a robust identification tool. Text Balaenoptera physalus Fin whale MDPI Open Access Publishing Drones 7 3 220
institution Open Polar
collection MDPI Open Access Publishing
op_collection_id ftmdpi
language English
topic whale identification
UAV
fin whale
central chevron pattern
blaze
dorsal fin
Catalan coast
spellingShingle whale identification
UAV
fin whale
central chevron pattern
blaze
dorsal fin
Catalan coast
Eduard Degollada
Natalia Amigó
Seán O’Callaghan
Mila Varola
Katia Ruggero
Beatriu Tort
A Novel Technique for Photo-Identification of the Fin Whale, Balaenoptera physalus, as Determined by Drone Aerial Images
topic_facet whale identification
UAV
fin whale
central chevron pattern
blaze
dorsal fin
Catalan coast
description Drones have become a crucial research tool across marine environments over the past decade, being specifically useful in marine mammal research. Fin whales (Balaenoptera physalus) have been monitored feeding along the Catalan coast, Spain (NW Mediterranean), since 2014. To overcome issues such as the distance between a whale and a research vessel or the lack of distinctive dorsal fin features, an aerial identification technique was developed. It uses the fin whales’ characteristic central chevron pattern (CCP) and blaze, which are clearly visible from an overhead position. A total of 237 individual whales were identified between 2015–2022 in this study area, of which there were 35 interannual recaptures. While the dorsal fin may undergo modifications over time, the CCP and blaze patterns did not naturally alter over the years, with one whale displaying the same characteristics 8 years apart between the first and the most recent sightings. As such, this coloration pattern provides a reliable identification feature to be used for the interannual identification and population monitoring of fin whales using drones. This novel technique aims to improve and unify this species cataloguing overseas by using the CCP and blaze obtained from UAV (unmanned aerial vehicle) zenithal videos as a robust identification tool.
format Text
author Eduard Degollada
Natalia Amigó
Seán O’Callaghan
Mila Varola
Katia Ruggero
Beatriu Tort
author_facet Eduard Degollada
Natalia Amigó
Seán O’Callaghan
Mila Varola
Katia Ruggero
Beatriu Tort
author_sort Eduard Degollada
title A Novel Technique for Photo-Identification of the Fin Whale, Balaenoptera physalus, as Determined by Drone Aerial Images
title_short A Novel Technique for Photo-Identification of the Fin Whale, Balaenoptera physalus, as Determined by Drone Aerial Images
title_full A Novel Technique for Photo-Identification of the Fin Whale, Balaenoptera physalus, as Determined by Drone Aerial Images
title_fullStr A Novel Technique for Photo-Identification of the Fin Whale, Balaenoptera physalus, as Determined by Drone Aerial Images
title_full_unstemmed A Novel Technique for Photo-Identification of the Fin Whale, Balaenoptera physalus, as Determined by Drone Aerial Images
title_sort novel technique for photo-identification of the fin whale, balaenoptera physalus, as determined by drone aerial images
publisher Multidisciplinary Digital Publishing Institute
publishDate 2023
url https://doi.org/10.3390/drones7030220
genre Balaenoptera physalus
Fin whale
genre_facet Balaenoptera physalus
Fin whale
op_source Drones; Volume 7; Issue 3; Pages: 220
op_relation Drones in Ecology
https://dx.doi.org/10.3390/drones7030220
op_rights https://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.3390/drones7030220
container_title Drones
container_volume 7
container_issue 3
container_start_page 220
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