Estimating sound pressure levels from distributed acoustic sensing data using 20 Hz fin whale calls

Distributed acoustic sensing (DAS) is a promising technology for underwater acoustics, but its instrumental response is still being investigated to enable quantitative measurements. We use fin whale 20 Hz calls to estimate the conversion between DAS-recorded strain and acoustic pressure. Our method is tested across three deployments on varied seafloor telecommunication cables and ocean basins. Results show that after accounting for well-established DAS response factors, a unique value for water compressibility provides a good estimate for the conversion. This work represents a significant step forward in characterizing DAS for marine monitoring and highlights potential limitations related to instrument noise floor.

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Publication Details

Journal
JASA Express Letters
Published
2025-04-01
DOI
https://doi.org/10.1121/10.0036351
Citations
10
Primary Topic
Underwater Acoustics Research
Type
article
Field-Weighted Citation Impact
17.94
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article

Estimating sound pressure levels from distributed acoustic sensing data using 20 Hz fin whale calls

A.H. Hartog, Robin André Rørstadbotnen, Léa Bouffaut, Quentin Goestchel et al.
10 citations
JASA Express Letters
Underwater Acoustics Research
17.94
article

Estimating sound pressure levels from distributed acoustic sensing data using 20 Hz fin whale calls

A.H. Hartog, Robin André Rørstadbotnen, Léa Bouffaut, Quentin Goestchel, Holger Klinck, Anthony Sladen
article en
10 citations

Abstract

Distributed acoustic sensing (DAS) is a promising technology for underwater acoustics, but its instrumental response is still being investigated to enable quantitative measurements. We use fin whale 20 Hz calls to estimate the conversion between DAS-recorded strain and acoustic pressure. Our method is tested across three deployments on varied seafloor telecommunication cables and ocean basins. Results show that after accounting for well-established DAS response factors, a unique value for water compressibility provides a good estimate for the conversion. This work represents a significant step forward in characterizing DAS for marine monitoring and highlights potential limitations related to instrument noise floor.

JASA Express LettersVol. 5(4)
University of Washington (US), Université Côte d'Azur (FR), Norwegian University of Science and Technology (NO), Cornell University (US), Center for Environmental Health (US), Observatoire de la Côte d’Azur (FR)
Life below water
Openalex Percentile: Top 1%
Underwater Acoustics Research
17.94
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