fisheries acoustics

Democratizing the entrance to the ocean acoustics field through interdisciplinary education and outreach

Accelerating information extraction from fisheries acoustic data through a cloud-based machine learning workflow.

Accelerating ocean exploration through cloud-native processing of active ocean sonar data.

Modernizing the EchoPro workflow for integrating acoustic and biological survey samples for biomass estimation.

Developing algorithms to discover prominent spatio-temporal patterns of animal movement and grouping behavior observed in sonar echoes using data from the Ocean Observatories Initiative (OOI).

Water column sonar data collected by echosounders are essential for marine ecosystem research, allowing the detection, classifi cation, and quantification of fish and zooplankton from many different ocean observing platforms. However, broad usage of …

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 …

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 …

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

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.