News, updates and insights from the OceanStream team
In this article we will walk through calculating monthly Sea‑surface temperature (SST) statistics for the North Atlantic using the Analysis‑Ready, Cloud‑Optimised (ARCO) ERA5 dataset from ECMWF and visualising them on a map.
A detailed outline of how we implemented an Edge‑to‑Cloud ML-based pipeline where we trained and deployed a model for semantic segmentation of echograms.
In this tutorial we build a deep‑learning pipeline for echogram segmentation using open‑source tools. Echograms are two‑dimensional plots of acoustic echo intensity versus time and depth recorded using sonar instruments, in our case echosounders.
Sound travels faster or slower depending on temperature, salinity and pressure, so an accurate sound speed profile (SSP) and absorption coefficient of seawater are essential for converting raw echosounder signals into meaningful depths and calibrated backscattering strengths.
An extended tutorial on the open-source libraries that we use to build the OceanStream cloud‑native data processing stack used to ingest data from sonar instruments and other marine sensors.
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