392 square kilometres. A few sampling points.
Lough Neagh is the UK's largest lake and supplies 40% of Northern Ireland's drinking water. Harmful algal blooms have intensified — threatening water quality, ecosystem health, and public safety.
Traditional monitoring relies on manual sampling and lab analysis. By the time results come back, the blooms have moved. Resources deployed reactively. Coverage sparse — a few sampling points across 392 square kilometres.
Satellite coverage. Continuous monitoring.
Multi-spectral satellite imagery mapped algal bloom concentrations across the entire lake surface — continuously. Ground-based water quality data validated satellite observations. Multi-temporal analysis tracked bloom dynamics, revealing patterns invisible to point-sampling.
Complete spatial coverage. Continuous temporal monitoring. Priority intervention areas identified automatically.
10x faster. Full-lake intelligence.
10x
Faster identification of priority intervention areas
Full-lake coverage replaced sparse point sampling. Continuous monitoring replaced periodic checks. Decision-makers received actionable intelligence — not raw data — enabling faster, targeted responses.
What challenge would you bring to Amelia?
Whether it's water quality, emissions monitoring, feedstock verification, or something we haven't seen yet — if it involves understanding what's happening on the ground, we want to hear about it.