fisheries acoustics

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.

Enhancing the processing capacity and efficiency for echosounder data.

Integrating echosounder data and net catches for biomass estimation.

A Python package that enhances the interoperability and scalability in ocean sonar processing.

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).

The Hudson Canyon, located along the shelfbreak of the New York Bight (NYB), has been characterized as a “biological hotspot” that attracts organisms ranging from zooplankton to marine mammals. Since 2017, seasonal surveys have collected …

Acoustic-trawl surveys provide estimates of biological distributions that can inform stock assessments and other ecosystem-based management strategies. These measurements can also derive other biometrics (e.g. average body length) and behavioral …

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 …