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 …
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 …