An Optical Imaging System for Capturing Images in Low-Light Aquatic Habitats Using Only Ambient Light

Pagniello, Camille; Butler, Jack; Rosen, Annie; Sherwood, A.M.; Roberts, Paul; Parnell, Edward; Jaffe, Jules S.; Širović, Ana

doi:10.5670/oceanog.2021.305

Cited by 2 publications

(1 citation statement)

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“…External LED lights could be added to the FishCam on the array and could be controlled via its onboard single board computer (Mouy et al, 2020). Alternatively, low‐light cameras could be used (Pagniello et al, 2021). There is also a strong interest in using passive acoustics for monitoring fish in tropical waters (e.g., coral reefs) where the density of fish and fish sounds is typically much greater than in British Columbia (Looby et al, 2022).…”

Section: Discussionmentioning

confidence: 99%

Identification of fish sounds in the wild using a set of portable audio‐video arrays

et al. 2023

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Associating fish sounds to specific species and behaviours is important for making passive acoustics a viable tool for monitoring fish. While recording fish sounds in tanks can sometimes be performed, many fish do not produce sounds in captivity. Consequently, there is a need to identify fish sounds in situ and characterise these sounds under a wide variety of behaviours and habitats. We designed three portable audio‐video platforms capable of identifying species‐specific fish sounds in the wild: a large array, a mini array and a mobile array. The large and mini arrays are static autonomous platforms than can be deployed on the seafloor and record audio and video for one to two weeks. They use multichannel acoustic recorders and low‐cost video cameras mounted on PVC frames. The mobile array also uses a multichannel acoustic recorder, but mounted on a remotely operated vehicle with built‐in video, which allows remote control and real‐time positioning in response to observed fish presence. For all arrays, fish sounds were localised in three dimensions and matched to the fish positions in the video data. We deployed these three platforms at four locations off British Columbia, Canada. The large array provided the best localisation accuracy and, with its larger footprint, was well suited to habitats with a flat seafloor. The mini and mobile arrays had lower localisation accuracy but were easier to deploy, and well suited to rough/uneven seafloors. Using these arrays, we identified, for the first time, sounds from quillback rockfish Sebastes maliger, copper rockfish Sebastes caurinus and lingcod Ophiodon elongatus. In addition to measuring temporal and spectral characteristics of sounds for each species, we estimated mean source levels for lingcod and quillback rockfish sounds (115.4 and 113.5 dB re 1 μPa, respectively) and maximum detection ranges at two sites (between 10.5 and 33 m). All proposed array designs successfully identified fish sounds in the wild and were adapted to various budget, logistical and habitat constraints. We include here building instructions and processing scripts to help users replicate this methodology, identify more fish sounds around the world and make passive acoustics a more viable way to monitor fish.

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Section: Discussionmentioning

confidence: 99%

Identification of fish sounds in the wild using a set of portable audio‐video arrays

et al. 2023

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KOSMOS: An Open Source Underwater Video Lander for Monitoring Coastal Fishes and Habitats

Pelletier

Rouxel

Fauvarque

et al. 2021

Sensors

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Background: Monitoring the ecological status of coastal ecosystems is essential to track the consequences of anthropogenic pressures and assess conservation actions. Monitoring requires periodic measurements collected in situ, replicated over large areas and able to capture their spatial distribution over time. This means developing tools and protocols that are cost-effective and provide consistent and high-quality data, which is a major challenge. A new tool and protocol with these capabilities for non-extractively assessing the status of fishes and benthic habitats is presented here: the KOSMOS 3.0 underwater video system. Methods: The KOSMOS 3.0 was conceived based on the pre-existing and successful STAVIRO lander, and developed within a digital fabrication laboratory where collective intelligence was contributed mostly voluntarily within a managed project. Our suite of mechanical, electrical, and software engineering skills were combined with ecological knowledge and field work experience. Results: Pool and aquarium tests of the KOSMOS 3.0 satisfied all the required technical specifications and operational testing. The prototype demonstrated high optical performance and high consistency with image data from the STAVIRO. The project’s outcomes are shared under a Creative Commons Attribution CC-BY-SA license. The low cost of a KOSMOS unit (~1400 €) makes multiple units affordable to modest research or monitoring budgets.

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An Optical Imaging System for Capturing Images in Low-Light Aquatic Habitats Using Only Ambient Light

Cited by 2 publications

References 25 publications

Identification of fish sounds in the wild using a set of portable audio‐video arrays

Identification of fish sounds in the wild using a set of portable audio‐video arrays

KOSMOS: An Open Source Underwater Video Lander for Monitoring Coastal Fishes and Habitats

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