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).

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 …

High-frequency echosounders are the workhorse in fisheries and marine ecological surveys. Due to the inherent complexity of biological aggregations and ambiguity in interpreting echoes from species of similar size and anatomical compositions, …

In this presentation, I will discuss fundamental concepts of using active acoustic techniques as a remote sensing tool to observe mid-trophic level fish and zooplankton in the ocean. These observations complement passive acoustic measurements that …