Arne Johannes Holmin

Forsker

Telefon: 99578035

Avdeling: Pelagisk fisk

My main activities are simulation and statistical analysis of sonar and echosounder observation, and development of statistical survey estimateion throught the open source software StoX.

https://scholar.google.com/citations?user=e-i8B4MAAAAJ&hl=no

Arbeidsområde

Statistcs, Sonar, StoX, Simulation

Publikasjoner

Vitenskapelige artikler (NVI)

2025

Silent uncrewed surface vehicles reveal the diurnal vertical distribution of lesser sandeel

Sakura Komiyama, Arne Johannes Holmin, Geir Pedersen, Espen Johnsen

ICES Journal of Marine Science 82

2024

Uncrewed surface vehicles (USVs) as platforms for fisheries and plankton acoustics

Nils Olav Handegard, Alex De Robertis, Arne Johannes Holmin, Espen Johnsen, Joshua Lawrence, Naig Le Bouffant, Richard O'driscoll, David Peddie, Geir Pedersen, Pierre Priou, Rabea Patricia Rogge, Mikal Arntzen Samuelsen, David A. Demer

ICES Journal of Marine Science

2021

Estimating individual fish school biomass using digital omnidirectional sonars, applied to mackerel and herring

Hector Pena, Gavin Macaulay, Egil Ona, Sindre Vatnehol, Arne Johannes Holmin

ICES Journal of Marine Science 78 p. 940-951

2021

Estimating individual fish school biomass using digital omnidirectional sonars, applied to mackerel and herring

Héctor Peña, Gavin J Macaulay, Egil Ona, Sindre Vatnehol, Arne J Holmin

ICES JMS

2020

Evaluating acoustic-trawl survey strategies using an end to end ecosystem model

Arne Johannes Holmin, Erik Askov Mousing, Solfrid Sætre Hjøllo, Morten D. Skogen, Geir Huse, Nils Olav Handegard

ICES Journal of Marine Science

2020

Evaluating acoustic-trawl survey strategies using an end-to-end ecosystem model

Arne Johannes Holmin, Erik Askov Mousing, Morten D. Skogen, Solfrid Sætre Hjøllo, Geir Huse, Nils Olav Handegard

ICES Journal of Marine Science

2019

StoX: An open source software for marine survey analyses

Espen Johnsen, Atle Totland, Åsmund Skålevik, Arne Johannes Holmin, Gjert Endre Dingsør, Edvin Fuglebakk, Nils Olav Handegard

Methods in Ecology and Evolution 10 p. 1523-1528

2017

Method to observe large scale behavioural waves propagating through fish schools using 4D sonar

Nils Olav Handegard, Arne Johannes Holmin, Guillaume Rieucau

ICES Journal of Marine Science 74 p. 804-812

2016

Estimation and simulation of multi-beam sonar noise

Arne Johannes Holmin, Rolf Korneliussen, Dag Bjarne Tjøstheim

Journal of the Acoustical Society of America 139 p. 851-862

2016

School level structural and dynamic adjustments to risk promote information transfer and collective evasion in herring

Guillaume Rieucau, Arne Johannes Holmin, Jose Carlos Castillo, Iain D. Couzin, Nils Olav Handegard

Animal Behaviour 117 p. 69-78

2012

Simulations of multi-beam sonar echos from schooling individual fish in a quiet environment

Arne Johannes Holmin, Nils Olav Handegard, Rolf Korneliussen, Dag Bjarne Tjøstheim

Journal of the Acoustical Society of America 132 p. 3720-3734

Annet tidsskriftbidrag

2021

Erratum: Estimating individual fish school biomass using digital omnidirectional sonars, applied to mackerel and herring (ICES Journal of Marine Science (2021) 78 (1174) DOI: 10.1093/icesjms/fsaa237)

Héctor Peña, Gavin Macaulay, Egil Ona, Sindre Vatnehol, Arne Johannes Holmin

ICES Journal of Marine Science 78 p. 1174

Faglige foredrag

2024

Pipeline for Testing Convolutional Neural Networks for Acoustic Trawl Surveys

Arne Johannes Holmin, Ahmet Pala

2024

Pipeline for testing convolutional neural networks for Acoustic Trawl Surveys

Arne Johannes Holmin, Ahmet Pala

2024

Analysing large amounts of echosounder data using cloud based data access combined with deep learning models

Nils Olav Handegard, Leif Bildøy, Olav Brautaset, Tomasz Furmanek, Arne Johannes Holmin, Ahmet Pala, Ingrid Utseth, Ketil Malde

2024

Fisheries acoustics and deep learning

Nils Olav Handegard, Leif Bildøy, Olav Brautaset, Tomasz Furmanek, Arne Johannes Holmin, Ingrid Utseth, Ketil Malde

2024

Testing acoustic data quality and performance on Sounder USV

Nils Olav Handegard, Arne Johannes Holmin, Espen Johnsen, Rolf Korneliussen, Geir Pedersen, Joakim Skjefstad, Rabea Patricia Rogge, Mikal Arntzen Samuelsen

2023

A story about data extraction and deep learning applied to fishery acoustic data

Nils Olav Handegard, Leif Bildøy, Olav Brautaset, Tomasz Furmanek, Arne Johannes Holmin, Ingrid Utseth, Sindre Vatnehol, Ketil Malde

2023

Towards a multi-platform armada strategy for ecosystem based marine surveys

Espen Johnsen, Nils Olav Handegard, Atle Totland, Arne Johannes Holmin, Cecilie Kvamme, Are Salthaug, Geir Huse

2017

Catch and gear monitoring in purse seines using multibeam sonar: a new approach for improved catch control and reduced unintended fishing mortality

Maria Tenningen, Hector Pena, Arne Johannes Holmin

2015

A new fish school segmentation method for fishery sonar

Arne Johannes Holmin, Hector Pena, Egil Ona

2015

Using acoustics to observe fine scale schooling behaviour in open ocean and controlled net pen experiments

Nils Olav Handegard, Guillaume Rieucau, Jose Castillo Montoya, Arne Johannes Holmin

2015

Increasing the precision in acoustic estimates of patchy distributed fish

Espen Johnsen, Egil Ona, Alf Harbitz, Hector Pena, Arne Johannes Holmin

2015

School biomass estimates using digital omnidirectional fisheries sonar

Hector Pena, Egil Ona, Gavin Macaulay, Arne Johannes Holmin, Sindre Nordlund Vatnehol, Ole Bernt Gamelsæter

2014

Biomass estimation by echo integration using omnidirectional fishery sonar

Hector Pena, Arne Johannes Holmin, Egil Ona

2013

Improved morphological fish school characterization using simulations of multibeam sonar data

Arne Johannes Holmin, Rolf Korneliussen, Dag Bjarne Tjøstheim

Rapporter og avhandlinger

2024

Revision of the Norwegian-Russian Barents Sea Ecosystem Survey (BESS) - The current status and revision of the Norwegian sector of the BESS survey

Elena Eriksen, Geir Odd Johansen, Gro Ingleid van der Meeren, Herdis Langøy Mørk, Stine Karlson, Espen Bagøien, Miguel Bao, Erik Berg, Bjarte Bogstad, Stepan Boitsov, Paolo Cipriani, Padmini Dalpadado, Hanna Ellerine Helle Danielsen, Lucilla Giulietti, Elvar Halldor Hallfredsson, Hilde Elise Heldal, Ann Merete Hjelset, Arne Johannes Holmin, Hannes Höffle, Edda Johannesen, Lis Lindal Jørgensen, Arne Levsen, Georg Skaret, Hiroko Kato Solvang, Julia Endresen Storesund, Espen Strand, Ida Vee, Tone Vollen, Rupert Wienerroither, Kristin Windsland, Fabian Zimmermann, Nils Inge Øien

Rapport fra havforskningen

2024

Survey report for CRIMAC SFI 2023

Nils Olav Handegard, Vaneeda Allken, Arne Johannes Holmin, Espen Johnsen, Rolf Korneliussen, Geir Pedersen, Joakim Skjefstad, Rabea Patricia Rogge, Mikal Arntzen Samuelsen, Maria Tenningen, Lise Doksæter Sivle

Toktrapport

2021

Fish diversity data from the Barents Sea Ecosystem Survey 2004-2019

Edda Johannesen, Rupert Wienerroither, Herdis Langøy Mørk, Berengere Husson, Arne Johannes Holmin, Espen Johnsen, Andrey Dolgov, Tatiana Prokhorova

2021

Final report for the REDUS project - Reduced Uncertainty in Stock Assessment

Erik Joel Steinar Olsen, Sondre Aanes, Magne Tommy Aldrin, Olav Nikolai Breivik, Edvin Fuglebakk, Daisuke Goto, Nils Olav Handegard, Cecilie Hansen, Arne Johannes Holmin, Daniel Howell, Espen Johnsen, Natoya Jourdain, Knut Korsbrekke, Kotaro Ono, Håkon Magne Otterå, Holly Ann Perryman, Samuel Subbey, Guldborg Søvik, Ibrahim Umar, Sindre Vatnehol, Jon Helge Vølstad

2018

PELFOSS (PELagic Fish Observation System Simulator)

Morten D. Skogen, Nils Olav Handegard, Arne Johannes Holmin, Solfrid Sætre Hjøllo, Erik Askov Mousing, Kjell Rong Utne, Rune Vabø

2013

Analysis of multi-beam sonar echos of herring schools by means of simulation

Holmin, Arne Johannes

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Arne Johannes Holmin

Arbeidsområde

Publikasjoner

Vitenskapelige artikler (NVI)

Silent uncrewed surface vehicles reveal the diurnal vertical distribution of lesser sandeel

Uncrewed surface vehicles (USVs) as platforms for fisheries and plankton acoustics

Estimating individual fish school biomass using digital omnidirectional sonars, applied to mackerel and herring

Estimating individual fish school biomass using digital omnidirectional sonars, applied to mackerel and herring

Evaluating acoustic-trawl survey strategies using an end to end ecosystem model

Evaluating acoustic-trawl survey strategies using an end-to-end ecosystem model

StoX: An open source software for marine survey analyses

Method to observe large scale behavioural waves propagating through fish schools using 4D sonar

Estimation and simulation of multi-beam sonar noise

School level structural and dynamic adjustments to risk promote information transfer and collective evasion in herring

Simulations of multi-beam sonar echos from schooling individual fish in a quiet environment

Annet tidsskriftbidrag

Erratum: Estimating individual fish school biomass using digital omnidirectional sonars, applied to mackerel and herring (ICES Journal of Marine Science (2021) 78 (1174) DOI: 10.1093/icesjms/fsaa237)

Faglige foredrag

Pipeline for Testing Convolutional Neural Networks for Acoustic Trawl Surveys

Pipeline for testing convolutional neural networks for Acoustic Trawl Surveys

Analysing large amounts of echosounder data using cloud based data access combined with deep learning models

Fisheries acoustics and deep learning

Testing acoustic data quality and performance on Sounder USV

A story about data extraction and deep learning applied to fishery acoustic data

Towards a multi-platform armada strategy for ecosystem based marine surveys

Catch and gear monitoring in purse seines using multibeam sonar: a new approach for improved catch control and reduced unintended fishing mortality

A new fish school segmentation method for fishery sonar

Using acoustics to observe fine scale schooling behaviour in open ocean and controlled net pen experiments

Increasing the precision in acoustic estimates of patchy distributed fish

School biomass estimates using digital omnidirectional fisheries sonar

Biomass estimation by echo integration using omnidirectional fishery sonar

Improved morphological fish school characterization using simulations of multibeam sonar data

Rapporter og avhandlinger

Revision of the Norwegian-Russian Barents Sea Ecosystem Survey (BESS) - The current status and revision of the Norwegian sector of the BESS survey

Survey report for CRIMAC SFI 2023

Fish diversity data from the Barents Sea Ecosystem Survey 2004-2019

Final report for the REDUS project - Reduced Uncertainty in Stock Assessment

PELFOSS (PELagic Fish Observation System Simulator)

Analysis of multi-beam sonar echos of herring schools by means of simulation

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Nettrapporter

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