Automated association of fin whale calls for localization using distributed acoustic sensing

Distributed Acoustic Sensing (DAS) on submarine cables is an untapped resource for monitoring marine mammals. The high spatial coverage and resolution of DAS data require specialized automated methods. In November 2021, the Ocean Observatories Initiative (OOI) Regional Cabled Array (RCA) collected DAS data including fin whale calls from an experiment offshore of central Oregon using two nearshore cable sections (65 and 95 km long) with sampling rates up to 1 kHz. This study presents an automated method for associating and localizing fin whale call detections of the OOI RCA. The method employs a grid search approach to associate acoustic arrival times between cables and multiple calling individuals, utilizing data from one or both cables depending on detection availability. Noisy call associations are enhanced through Gabor filtering of detections and spatial windowing on the farthest cable sections. Localization is performed using a weighted least squares inversion. Five ten-minute subsets of detection data were manually annotated to compute precision, recall, and F1-scores. The method enhanced with a far spatial window achieves recall values of 0.92-0.94 with low precision (0.3), which can be mitigated by subsequent track formation. These findings highlight the potential of submarine cable DAS for continuous, large-scale marine mammal monitoring.

Authors

Institutions

Publication Details

Journal
The Journal of the Acoustical Society of America
Published
2026-07-01
DOI
https://doi.org/10.1121/10.0044257
Primary Topic
Marine animal studies overview
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Automated association of fin whale calls for localization using distributed acoustic sensing

William S. D. Wilcock, Quentin Goestchel, Shima Abadi
The Journal of the Acoustical Society of America
Marine animal studies overview
article

Automated association of fin whale calls for localization using distributed acoustic sensing

William S. D. Wilcock, Quentin Goestchel, Shima Abadi
article en

Abstract

Distributed Acoustic Sensing (DAS) on submarine cables is an untapped resource for monitoring marine mammals. The high spatial coverage and resolution of DAS data require specialized automated methods. In November 2021, the Ocean Observatories Initiative (OOI) Regional Cabled Array (RCA) collected DAS data including fin whale calls from an experiment offshore of central Oregon using two nearshore cable sections (65 and 95 km long) with sampling rates up to 1 kHz. This study presents an automated method for associating and localizing fin whale call detections of the OOI RCA. The method employs a grid search approach to associate acoustic arrival times between cables and multiple calling individuals, utilizing data from one or both cables depending on detection availability. Noisy call associations are enhanced through Gabor filtering of detections and spatial windowing on the farthest cable sections. Localization is performed using a weighted least squares inversion. Five ten-minute subsets of detection data were manually annotated to compute precision, recall, and F1-scores. The method enhanced with a far spatial window achieves recall values of 0.92-0.94 with low precision (0.3), which can be mitigated by subsequent track formation. These findings highlight the potential of submarine cable DAS for continuous, large-scale marine mammal monitoring.

The Journal of the Acoustical Society of AmericaVol. 160(1)
University of Washington (US)
Office of Naval Research
Life below water
Openalex Percentile: Top 8%
Marine animal studies overview
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.