Behavior & Ecology

Echosounder and sonar data can provide unrivalled spatial and temporal information at the level of individuals (e.g. fish, krill), aggregations (e.g. schools, layers) and intervals (in space and/or time). Echoview® provides a wealth of powerful yet easy-to-use tools, algorithms and operators for identifying and characterizing these levels in your acoustic data.

As the world’s most comprehensive, flexible and trusted tool for bioacoustic data processing, Echoview enables you to:

  • Detect and track single echoes (single target detection and fish tracking)
  • Estimate fish size (either directly or indirectly)
  • Detect aggregations (schools detection)
  • Delineate your data in space and/or time (using lines, regions and grids)
  • Create new echograms (virtual variables) by combining mathematical calculations from over 145 operators
  • Visualize and synchronize acoustic and video data
  • Characterize individuals, aggregations and intervals in terms of their position (in space and time), morphometry (e.g. school shape, track tortuosity), acoustic energy (e.g. target strength, Sv, NASC) and environment (e.g. water depth, pycnocline depth, bottom type)

With the paradigm shift to an ecosystem-based approach to managing aquatic environments, Echoview provides you with robust behavioral and ecological metrics from your acoustic data.

Echosounder data from a Norwegian fjord showing a 5km-long school of herring in the upper 150 m of the water column and dispersed (single) fish targets below 

(click to enlarge)

Case Study:

Processing data from acoustic cameras to evaluate fish behavior in and around Cougar Dam, Oregon

Client
USGS Western Fisheries Research Center

Background
Fish passage at Cougar Dam near Springfield, Oregon was monitored using acoustics cameras.

Specifically, acoustic cameras were used to measure fish presence, travel speed, and direction adjacent to the water temperature control tower in the forebay of Cougar Dam during the spring (May, June, and July) and fall (September, October, and November) of 2013

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