• Bioglider: an integrated glider solution for enhancing environmental knowledge 

      Poncon, Yves; Mortier, Laurent; Picheral, Marc; Fitzek, Peer; Hayes, Dan; Abdi, Ehsan; Zdroik, Jakub; Beszczynska-Möller, Agnieszka; Coindat, Jerome; Dunn, Muriel Barbara; Ramasco, Virginie; Thorstensen, Morten; Camus, Lionel; Priou, Pierre; Basedow, Sünnje Linnéa; Pedersen, Geir; Arbi, Tarak; Geller, Benoit (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-12-11)
      This paper presents a technological solution for the observation and monitoring of the marine ecosystem. Three complementary devices, one optic imaging and one scientific acoustic instrument as well as one acoustic communication modem, have been integrated on glider platforms, providing qualitative and quantitative zooplankton and fish ecology observations, which are especially relevant in Nordic ...
    • Inverse method applied to autonomous broadband hydroacoustic survey detects higher densities of zooplankton in near-surface aggregations than vessel-based net survey 

      Dunn, Muriel Barbara; Pedersen, Geir; Basedow, Sünnje Linnéa; Daase, Malin; Falk-Petersen, Stig; Bachelot, Loic; Camus, Lionel; Geoffroy, Maxime (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-11-10)
      Throughout all oceans, aggregations of zooplankton and ichthyoplankton appear as horizontal sound scattering layers (SSLs) when detected with active acoustic techniques. Quantifying the composition and density of these layers is prone to sampling biases. We conducted a net and trawl survey of the epipelagic fauna in northern Norway (70˚N) in June 2018 while an autonomous surface vehicle equipped ...
    • Model-informed classification of broadband acoustic backscatter from zooplankton in an in situ mesocosm 

      Dunn, Muriel Barbara; McGowan-Yallop, Chelsey; Pedersen, Geir; Falk-Petersen, Stig; Daase, Malin Hildegard Elisabeth; Last, Kim; Langbehn, Tom; Fielding, Sophie; Brierley, Andrew S.; Cottier, Finlo Robert; Basedow, Sünnje Linnéa; Camus, Lionel; Geoffroy, Maxime (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-12-07)
      Classification of zooplankton to species with broadband echosounder data could increase the taxonomic resolution of acoustic surveys and reduce the dependence on net and trawl samples for ‘ground truthing’. Supervised classification with broadband echosounder data is limited by the acquisition of validated data required to train machine learning algorithms (‘classifiers’). We tested the hypothesis ...