Testing ROCCA (Real-Time Odonotocete Call Classification Algorithm) for five Delphinid species in the Western North Atlantic
Visual shipboard and aerial surveys are the most widely used form of cetacean assessment but are limited by sighting probabilities, as cetaceans are often not readily detectable at the surface and are highly mobile, daylight, and weather. In comparison, acoustic surveys are constrained by vocal acti...
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ftunivmiamiir:oai:scholarlyrepository.miami.edu:rsmas_intern_reports-1127 2023-05-15T17:31:31+02:00 Testing ROCCA (Real-Time Odonotocete Call Classification Algorithm) for five Delphinid species in the Western North Atlantic Cossavella, Julie 2014-10-01T07:00:00Z application/pdf https://scholarlyrepository.miami.edu/rsmas_intern_reports/128 https://scholarlyrepository.miami.edu/cgi/viewcontent.cgi?article=1127&context=rsmas_intern_reports unknown Scholarly Repository Internship Reports (Restricted) cetacean assessment visual / arial surveys acoustic surveys ROCCA Environmental Sciences internship_report 2014 ftunivmiamiir 2018-12-30T18:18:47Z Visual shipboard and aerial surveys are the most widely used form of cetacean assessment but are limited by sighting probabilities, as cetaceans are often not readily detectable at the surface and are highly mobile, daylight, and weather. In comparison, acoustic surveys are constrained by vocal activity and the ability to identify species. The combination of both methods, however, is more powerful than either method alone; passive acoustic data can supplement visual data collection, particularly with the development of methodologies to identify species by their vocalizations with minimal constraints. An algorithm written by Julie Oswald at Bio-Waves, Inc. called ROCCA (Real-Time Odontocete Call Classification Algorithm) was evaluated using PAMGUARD to test for the program’s ability to identify and discriminate between five Atlantic delphinid species using passive acoustic data. The data used in this study were collected in the northern and southern regions of the western North Atlantic Ocean aboard the R/V Bigelow by NOAA/NEFSC and the R/V Gordon Gunter by NOAA/SEFSC in the summer of 2013 using a towed hydrophone array. Results showed regional differences in correct classification rates, with SEFSC data associated with a higher Kappa statistic (0.314) than NEFSC data (0.102), but an overall better recognition in both regions for Tursiops truncatus and Stenella frontalis than for Globicephala spp. and Stenella coeruleoalba. Contour variables were also analyzed for each species to determine unique species characteristics. The results and analyses provide developmental insight and strategies regarding how to further refine ROCCA for real-time use in both regions and to contribute to improved marine mammal management by enhancing visual abundance studies with acoustic data. Other/Unknown Material North Atlantic University of Miami: Scholarly Repository Gunter ENVELOPE(-66.511,-66.511,-68.993,-68.993) Rocca ENVELOPE(-68.764,-68.764,-67.783,-67.783) |
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University of Miami: Scholarly Repository |
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topic |
cetacean assessment visual / arial surveys acoustic surveys ROCCA Environmental Sciences |
spellingShingle |
cetacean assessment visual / arial surveys acoustic surveys ROCCA Environmental Sciences Cossavella, Julie Testing ROCCA (Real-Time Odonotocete Call Classification Algorithm) for five Delphinid species in the Western North Atlantic |
topic_facet |
cetacean assessment visual / arial surveys acoustic surveys ROCCA Environmental Sciences |
description |
Visual shipboard and aerial surveys are the most widely used form of cetacean assessment but are limited by sighting probabilities, as cetaceans are often not readily detectable at the surface and are highly mobile, daylight, and weather. In comparison, acoustic surveys are constrained by vocal activity and the ability to identify species. The combination of both methods, however, is more powerful than either method alone; passive acoustic data can supplement visual data collection, particularly with the development of methodologies to identify species by their vocalizations with minimal constraints. An algorithm written by Julie Oswald at Bio-Waves, Inc. called ROCCA (Real-Time Odontocete Call Classification Algorithm) was evaluated using PAMGUARD to test for the program’s ability to identify and discriminate between five Atlantic delphinid species using passive acoustic data. The data used in this study were collected in the northern and southern regions of the western North Atlantic Ocean aboard the R/V Bigelow by NOAA/NEFSC and the R/V Gordon Gunter by NOAA/SEFSC in the summer of 2013 using a towed hydrophone array. Results showed regional differences in correct classification rates, with SEFSC data associated with a higher Kappa statistic (0.314) than NEFSC data (0.102), but an overall better recognition in both regions for Tursiops truncatus and Stenella frontalis than for Globicephala spp. and Stenella coeruleoalba. Contour variables were also analyzed for each species to determine unique species characteristics. The results and analyses provide developmental insight and strategies regarding how to further refine ROCCA for real-time use in both regions and to contribute to improved marine mammal management by enhancing visual abundance studies with acoustic data. |
format |
Other/Unknown Material |
author |
Cossavella, Julie |
author_facet |
Cossavella, Julie |
author_sort |
Cossavella, Julie |
title |
Testing ROCCA (Real-Time Odonotocete Call Classification Algorithm) for five Delphinid species in the Western North Atlantic |
title_short |
Testing ROCCA (Real-Time Odonotocete Call Classification Algorithm) for five Delphinid species in the Western North Atlantic |
title_full |
Testing ROCCA (Real-Time Odonotocete Call Classification Algorithm) for five Delphinid species in the Western North Atlantic |
title_fullStr |
Testing ROCCA (Real-Time Odonotocete Call Classification Algorithm) for five Delphinid species in the Western North Atlantic |
title_full_unstemmed |
Testing ROCCA (Real-Time Odonotocete Call Classification Algorithm) for five Delphinid species in the Western North Atlantic |
title_sort |
testing rocca (real-time odonotocete call classification algorithm) for five delphinid species in the western north atlantic |
publisher |
Scholarly Repository |
publishDate |
2014 |
url |
https://scholarlyrepository.miami.edu/rsmas_intern_reports/128 https://scholarlyrepository.miami.edu/cgi/viewcontent.cgi?article=1127&context=rsmas_intern_reports |
long_lat |
ENVELOPE(-66.511,-66.511,-68.993,-68.993) ENVELOPE(-68.764,-68.764,-67.783,-67.783) |
geographic |
Gunter Rocca |
geographic_facet |
Gunter Rocca |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_source |
Internship Reports (Restricted) |
_version_ |
1766129154440298496 |