A Novel Technique for Photo-Identification of the Fin Whale, <em>Balaenoptera physalus</em>, 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 (<i>Balaenoptera physalus</i>) have been monitored feeding along the Catalan coast, Spain (NW Mediterranean), since 2014. To overcom...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-03-01
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| Series: | Drones |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2504-446X/7/3/220 |
| _version_ | 1797612375117922304 |
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| author | Eduard Degollada Natalia Amigó Seán A. O’Callaghan Mila Varola Katia Ruggero Beatriu Tort |
| author_facet | Eduard Degollada Natalia Amigó Seán A. O’Callaghan Mila Varola Katia Ruggero Beatriu Tort |
| author_sort | Eduard Degollada |
| collection | DOAJ |
| description | Drones have become a crucial research tool across marine environments over the past decade, being specifically useful in marine mammal research. Fin whales (<i>Balaenoptera physalus</i>) 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. |
| first_indexed | 2024-03-11T06:40:24Z |
| format | Article |
| id | doaj.art-fbc0a5a92ab9489e8357c41607a4e7f9 |
| institution | Directory Open Access Journal |
| issn | 2504-446X |
| language | English |
| last_indexed | 2024-03-11T06:40:24Z |
| publishDate | 2023-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Drones |
| spelling | doaj.art-fbc0a5a92ab9489e8357c41607a4e7f92023-11-17T10:40:06ZengMDPI AGDrones2504-446X2023-03-017322010.3390/drones7030220A Novel Technique for Photo-Identification of the Fin Whale, <em>Balaenoptera physalus</em>, as Determined by Drone Aerial ImagesEduard Degollada0Natalia Amigó1Seán A. O’Callaghan2Mila Varola3Katia Ruggero4Beatriu Tort5EDMAKTUB Association, Ctra. Sant Vicenç 17, 08393 Caldes d’Estrac, SpainEDMAKTUB Association, Ctra. Sant Vicenç 17, 08393 Caldes d’Estrac, SpainEDMAKTUB Association, Ctra. Sant Vicenç 17, 08393 Caldes d’Estrac, SpainEDMAKTUB Association, Ctra. Sant Vicenç 17, 08393 Caldes d’Estrac, SpainEDMAKTUB Association, Ctra. Sant Vicenç 17, 08393 Caldes d’Estrac, SpainEDMAKTUB Association, Ctra. Sant Vicenç 17, 08393 Caldes d’Estrac, SpainDrones have become a crucial research tool across marine environments over the past decade, being specifically useful in marine mammal research. Fin whales (<i>Balaenoptera physalus</i>) 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.https://www.mdpi.com/2504-446X/7/3/220whale identificationUAVfin whalecentral chevron patternblazedorsal fin |
| spellingShingle | Eduard Degollada Natalia Amigó Seán A. O’Callaghan Mila Varola Katia Ruggero Beatriu Tort A Novel Technique for Photo-Identification of the Fin Whale, <em>Balaenoptera physalus</em>, as Determined by Drone Aerial Images Drones whale identification UAV fin whale central chevron pattern blaze dorsal fin |
| title | A Novel Technique for Photo-Identification of the Fin Whale, <em>Balaenoptera physalus</em>, as Determined by Drone Aerial Images |
| title_full | A Novel Technique for Photo-Identification of the Fin Whale, <em>Balaenoptera physalus</em>, as Determined by Drone Aerial Images |
| title_fullStr | A Novel Technique for Photo-Identification of the Fin Whale, <em>Balaenoptera physalus</em>, as Determined by Drone Aerial Images |
| title_full_unstemmed | A Novel Technique for Photo-Identification of the Fin Whale, <em>Balaenoptera physalus</em>, as Determined by Drone Aerial Images |
| title_short | A Novel Technique for Photo-Identification of the Fin Whale, <em>Balaenoptera physalus</em>, as Determined by Drone Aerial Images |
| title_sort | novel technique for photo identification of the fin whale em balaenoptera physalus em as determined by drone aerial images |
| topic | whale identification UAV fin whale central chevron pattern blaze dorsal fin |
| url | https://www.mdpi.com/2504-446X/7/3/220 |
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