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Sonarlogger: Enabling long-term underwater sonar observations.

Frederik-Willem Fourie1, Kobus Langedock1, Roeland Develter1

  • 1Flanders Marine Institute (VLIZ), Jacobsenstraat 1, 8400 Oostende, Belgium.

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Summary
This summary is machine-generated.

A new Sonarlogger system enables long-term seafloor monitoring in dynamic coastal environments. This technology provides crucial data on habitat changes and storm impacts, aiding coastal resilience efforts.

Keywords:
AcousticCoastal monitoringLong-term measurementsRaspberry PiSonar

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Area of Science:

  • Marine geology
  • Oceanography
  • Ecology

Background:

  • Coastal seas face increasing threats from extreme weather and sea level rise.
  • Monitoring coastal marine habitats like reefs and seagrass meadows is vital for coastal resilience.
  • Existing methods struggle with consistent, long-term seafloor observation.

Purpose of the Study:

  • To develop and test a novel system for high-frequency, long-term seafloor observation.
  • To enable detailed studies of morphologic and ecosystem changes in dynamic coastal areas.
  • To provide robust data collection during extreme weather events like storms.

Main Methods:

  • Development of a stand-alone subsea system, the Sonarlogger, featuring a battery pack, low-power logger, and high-resolution scanning sonar.
  • Long-term deployment (over 130 days) of the Sonarlogger in dynamic coastal environments off the Belgian coast.
  • Integration of auxiliary sensors for measuring currents, waves, and turbidity.

Main Results:

  • The Sonarlogger system demonstrated successful long-term deployment capabilities in challenging coastal conditions.
  • The system facilitated comprehensive studies of seafloor morphologic changes and benthic ecosystem dynamics.
  • Data collected provided insights into event-based changes, particularly during storm conditions.

Conclusions:

  • The Sonarlogger system is a valuable tool for continuous, high-frequency seafloor monitoring in coastal zones.
  • This technology enhances our ability to study and understand coastal habitat changes and resilience.
  • It offers a reliable solution for data acquisition during extreme weather events where conventional systems fail.