Echospace @ UW
Echospace @ UW
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fisheries acoustics
Machine learning in fisheries acoustics
Accelerating information extraction from fisheries acoustic data through a cloud-based machine learning workflow.
Scalable, cloud-native processing of water column sonar data
Accelerating ocean exploration through cloud-native processing of active ocean sonar data.
EchoPro workflow modernization
Modernizing the EchoPro workflow for integrating acoustic and biological survey samples for biomass estimation.
Pattern discovery from long-term echosounder time series
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).
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
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