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During acoustic surveys of marine ecosystems, fisheries scientists need to quickly interpret large amounts of echosounder data and decide whether and where to sample for targeted organisms. The Python Open Source Echosounder Toolkit (pyOSET) was designed to facilitate this process by providing near real-time visualization of network data broadcasts from multiple echosounder systems, and to serve as a framework for implementation of algorithms to detect, locate, and identify fish or the seabed.
An Alpha release of the software is available under the GNU General Public License, version 2. Many practical aspects of the user interface are still in the planning and development phase.
Those who wish to participate in the development of pyOSET are encouraged to subscribe to the Developer's Mailing List. End users who want up to date information on the status of releases should periodically check the project News link above, or subscribe to the RSS feed of that page.
Features
- Written in the Python programming language
- Captures network data broadcasts from multiple echosounders
- Near real-time visualization of data in a common Cartesian coordinate system
- Transformed data can optionally be saved to an SQLite database
- Currently supports the Simrad EK60 and ME70 echosounders
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