15 - 17 March 2022 / Rennes

Advances in the analysis of riverine acoustic camera data

Sonar imaging is a powerful technology increasingly used in the field of fish monitoring and ecology. The main advantages are the detailed observation of fish numbers and behaviour even in turbid waters, without influencing fish behaviour or risking their health. However, labour intensive analysis of large sonar data files is often viewed as a key limitation to wider use by ecologists and managers. Recent developments in data analysis methods, such as automated fish detection, offer promising solutions that may revolutionise our field of research. In this context, the Natural Resources Institute Finland LUKE (Finland) and the French National Research Institute for Agriculture, Food and Environment INRAE (France) are organizing an international workshop entitled “Advances in the analyses of the riverine acoustic camera data”. The aim of the workshop is to bring together a panel of international experts, sonar users, and renowned keynote speakers to present an overview of the latest development and solutions in acquisition and analysis of acoustic imaging data for monitoring fish populations in rivers.

The workshop will be held in Rennes, France, on March 15-17 2022. We’d like you to attend this workshop, present your work, and (if possible,) travel to France!

Please share this link with your colleagues who may be interested in attending – registration is free!

Hope to see you in March 2022!

M. Nevoux, P. Orell, A. Romakkaniemi, J. Helminen, and F. Martignac

This workshop is funded by the Maupertuis program, proposed by the French Institute in Helsinki, the French Embassy to Finland and the French Ministry of Higher Education, Research and Innovation in partnership with the Finnish Society for Science and Letters and the Finnish Academy of Sciences and Letters. This program aims to strengthen bilateral cooperation in the fields of science, innovation and higher education in areas of interest to both countries.

To remember

  • Date
    15 - 17 March 2022
  • Place
  • Submission
    From 15 November 2021 to 17 February 2022
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