An open source tool for echogram visualization and analysis

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Scrutiny and analysis of multi-frequency digital echograms are the basis of modern fisheries acoustics biomass estimations. Currently, several data formats and dedicated software exists for this purpose, however commercial options tends to be expensive. Moreover, acoustic analysis is complex, and besides the acoustic data itself, it also requires other types of information (species composition and fish lengths from identification fishing hauls, physical environment data like CTD casts, sea surface temperature, etc.), making a flexible and powerful computing environment greatly appreciated. R provides such an environment, with its programming tools, statistical procedures available, mapping functions and data processing in general. Here we describe 'echogram' an R package capable of importing the hydroacoustic data file format for producing echogram visualizations with predefined or custom color palettes; modelling and subtracting background noise; and more important, develop and test acoustic filtering algorithms useful in biological scatterers discrimination, by combining different acoustic frequencies. Being an open source tool, interested users can participate in the development of the package by improving existing functions and extending its functionality by adding new ones.

Original languageEnglish
Title of host publication2017 IEEE/OES Acoustics in Underwater Geosciences Symposium, RIO Acoustics 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-4
Number of pages4
ISBN (Electronic)9781509050109
DOIs
StatePublished - 2 Jul 2017
Event2017 IEEE/OES Acoustics in Underwater Geosciences Symposium, RIO Acoustics 2017 - Rio de Janeiro, Brazil
Duration: 25 Jul 201727 Jul 2017

Publication series

Name2017 IEEE/OES Acoustics in Underwater Geosciences Symposium, RIO Acoustics 2017
Volume2018-January

Conference

Conference2017 IEEE/OES Acoustics in Underwater Geosciences Symposium, RIO Acoustics 2017
Country/TerritoryBrazil
CityRio de Janeiro
Period25/07/1727/07/17

Keywords

  • HAC
  • R language
  • digital echogram
  • multi-frequency

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