scientific computing

Echopop: biomass estimation for Pacific Hake

Integrating echosounder data and net catches for biomass estimation.

Echopype

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

Active acoustic detection of fish and zooplankton along bathymetric features of the New York Bight

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 …

Echopop: An open-source software package for acoustics-based population estimates and biological inversion.

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 …

Interoperable and scalable echosounder data processing with Echopype

Echostack: An open-source Python software toolbox that democratizes water column sonar dataand processing

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 …

Echodataflow: Recipe-based Fisheries Acoustics Workflow Orchestration

Echostack: A flexible and scalable open-source software suite for echosounder data processing

Two Pieces of the Same Puzzle: Active and Passive Acoustics for Cross-Trophic Marine Ecosystem Monitoring Part II

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 …

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 …