fisheries acoustics

A ship-to-cloud machine learning pipeline built on the open-source Python Echostack software tools

Successful application of machine learning (ML) methodology requires iterative development and testing of not only the models but also the entire workflow on the very platform and operating scenario the development aims to serve, before the framework …

Scalable and configurable echosounder data workflows

Acoustic fisheries surveys and ocean observing systems collect terabytes of echosounder data that require custom processing pipelines to obtain biological estimates of target species, which often can be hard to reuse or adapt. There is a rising need …

Understanding echoes

Keynote Lecture at the 2022 Denver Acoustical Society of America meeting.

Updates from Echopype developers: changes and roadmap

This presentation was also given at the NOAA National Centers for Environmental Information (NCEI) Water Column Sonar Data Archive 2022 Workshop on March 29, 2022.

Summarizing low-dimensional patterns in long-term echosounder time series from the U.S. Ocean Observatories Initiative network

Scalable, interoperable processing of water column sonar data for biological applications using the echopype Python package

Building a toolbox for studying marine ecology using large ocean sonar datasets