Optimizing a rotating thermal-IR system to automatically detect marine mammals in Atlantic Canada
We are interested in making a comparison of three methods to detect marine mammals at sea offshore of Atlantic Canada: marine mammal observers (MMOs) making visual observations, MMOs assisted by a thermal-IR (infrared) automatic detection system, and passive acoustic monitoring (PAM). Prior to makin...
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ftawi:oai:epic.awi.de:45785 2023-05-15T15:37:14+02:00 Optimizing a rotating thermal-IR system to automatically detect marine mammals in Atlantic Canada Holst, Meike Smith, Heather Zitterbart, Daniel Flau, Michael Boebel, Olaf Moulton, Valerie 2017-10-23 https://epic.awi.de/id/eprint/45785/ https://hdl.handle.net/10013/epic.51873 unknown Holst, M. , Smith, H. , Zitterbart, D. , Flau, M. , Boebel, O. orcid:0000-0002-2259-0035 and Moulton, V. , LGL Limited, environmental research associates, Canada (2017) Optimizing a rotating thermal-IR system to automatically detect marine mammals in Atlantic Canada , 22nd Biennial Society for Marine Mammalogy Conference on the Biology of Marine Mammals, Halifax, Nova Scotia, Canada, 22 October 2017 - 27 October 2017 . hdl:10013/epic.51873 EPIC322nd Biennial Society for Marine Mammalogy Conference on the Biology of Marine Mammals, Halifax, Nova Scotia, Canada, 2017-10-22-2017-10-27 Conference notRev 2017 ftawi 2021-12-24T15:43:23Z We are interested in making a comparison of three methods to detect marine mammals at sea offshore of Atlantic Canada: marine mammal observers (MMOs) making visual observations, MMOs assisted by a thermal-IR (infrared) automatic detection system, and passive acoustic monitoring (PAM). Prior to making this comparison, the detection and classification algorithms for the thermal-IR system required optimization for use in the thermal regime offshore Atlantic Canada. In summer 2015, we made visual observations concurrent with the collection of thermal-IR data at a shore-based observation site at Cape Race, Newfoundland. A total of 1114 location fixes on marine mammals were made using a theodolite: humpback whales (n = 967), minke whales (n = 112), harbour porpoises (n = 10), unidentified baleen whales (n = 16), and unidentified whales (n = 9). Thermal imagery data were retrospectively scanned and thermal anomalies that could be identified as marine mammals were found to match 700 of the 1114 fixes. Of the remaining 414 fixes, 366 were not found in the images, and 48 were undetermined. This dataset was used to optimize the detection and classification algorithms prior to the 2016 field season. In general, ≥70% of marine mammal sightings made by MMOs within 3 km of the shore-based observation site were discernible in thermal-IR imagery during periods when the Beaufort wind force was ≤ 6, for all sighting cues (e.g., blow, body) and species combined. The three detection methods will be compared during a research cruise in summer 2017. The results should be useful in the development of best practice guidelines for marine mammal mitigation monitoring during seismic surveys in Canada. Conference Object baleen whales Newfoundland Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center) Canada |
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Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center) |
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ftawi |
language |
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description |
We are interested in making a comparison of three methods to detect marine mammals at sea offshore of Atlantic Canada: marine mammal observers (MMOs) making visual observations, MMOs assisted by a thermal-IR (infrared) automatic detection system, and passive acoustic monitoring (PAM). Prior to making this comparison, the detection and classification algorithms for the thermal-IR system required optimization for use in the thermal regime offshore Atlantic Canada. In summer 2015, we made visual observations concurrent with the collection of thermal-IR data at a shore-based observation site at Cape Race, Newfoundland. A total of 1114 location fixes on marine mammals were made using a theodolite: humpback whales (n = 967), minke whales (n = 112), harbour porpoises (n = 10), unidentified baleen whales (n = 16), and unidentified whales (n = 9). Thermal imagery data were retrospectively scanned and thermal anomalies that could be identified as marine mammals were found to match 700 of the 1114 fixes. Of the remaining 414 fixes, 366 were not found in the images, and 48 were undetermined. This dataset was used to optimize the detection and classification algorithms prior to the 2016 field season. In general, ≥70% of marine mammal sightings made by MMOs within 3 km of the shore-based observation site were discernible in thermal-IR imagery during periods when the Beaufort wind force was ≤ 6, for all sighting cues (e.g., blow, body) and species combined. The three detection methods will be compared during a research cruise in summer 2017. The results should be useful in the development of best practice guidelines for marine mammal mitigation monitoring during seismic surveys in Canada. |
format |
Conference Object |
author |
Holst, Meike Smith, Heather Zitterbart, Daniel Flau, Michael Boebel, Olaf Moulton, Valerie |
spellingShingle |
Holst, Meike Smith, Heather Zitterbart, Daniel Flau, Michael Boebel, Olaf Moulton, Valerie Optimizing a rotating thermal-IR system to automatically detect marine mammals in Atlantic Canada |
author_facet |
Holst, Meike Smith, Heather Zitterbart, Daniel Flau, Michael Boebel, Olaf Moulton, Valerie |
author_sort |
Holst, Meike |
title |
Optimizing a rotating thermal-IR system to automatically detect marine mammals in Atlantic Canada |
title_short |
Optimizing a rotating thermal-IR system to automatically detect marine mammals in Atlantic Canada |
title_full |
Optimizing a rotating thermal-IR system to automatically detect marine mammals in Atlantic Canada |
title_fullStr |
Optimizing a rotating thermal-IR system to automatically detect marine mammals in Atlantic Canada |
title_full_unstemmed |
Optimizing a rotating thermal-IR system to automatically detect marine mammals in Atlantic Canada |
title_sort |
optimizing a rotating thermal-ir system to automatically detect marine mammals in atlantic canada |
publishDate |
2017 |
url |
https://epic.awi.de/id/eprint/45785/ https://hdl.handle.net/10013/epic.51873 |
geographic |
Canada |
geographic_facet |
Canada |
genre |
baleen whales Newfoundland |
genre_facet |
baleen whales Newfoundland |
op_source |
EPIC322nd Biennial Society for Marine Mammalogy Conference on the Biology of Marine Mammals, Halifax, Nova Scotia, Canada, 2017-10-22-2017-10-27 |
op_relation |
Holst, M. , Smith, H. , Zitterbart, D. , Flau, M. , Boebel, O. orcid:0000-0002-2259-0035 and Moulton, V. , LGL Limited, environmental research associates, Canada (2017) Optimizing a rotating thermal-IR system to automatically detect marine mammals in Atlantic Canada , 22nd Biennial Society for Marine Mammalogy Conference on the Biology of Marine Mammals, Halifax, Nova Scotia, Canada, 22 October 2017 - 27 October 2017 . hdl:10013/epic.51873 |
_version_ |
1766367694591885312 |