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Faster detection of harmful algal blooms.

How Amelia Space Technologies helped protect drinking water for 40% of Northern Ireland's population.

Key facts

Last reviewed

Surface area of Lough Neagh, the UK’s largest lake

383 km²

Surface area of Lough Neagh, the UK’s largest lake

Share of Northern Ireland’s drinking water it supplies

40%

Share of Northern Ireland’s drinking water it supplies

The bloom moves. The results arrive later.

Lough Neagh is the UK's largest lake and supplies 40% of Northern Ireland's drinking water. Harmful algal blooms have intensified there, 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 383 square kilometres.

Understanding the whole system, not just the lake.

Blooms in Lough Neagh are shaped long before they reach the lake: weather and climate, land use and nutrient inputs across the catchment, and what the tributaries carry in. Amelia maps the full chain from external drivers to bloom outcomes, rather than monitoring the lake in isolation.

Environmental system overview: the five stages

From external drivers to bloom outcomes in Lough Neagh
  1. Storm clouds gathering over green farmland

    External drivers

    Weather and climate

    • Weather

      conditions: temperature, wind, rainfall, radiation

    • Climate

      patterns: seasonality, extremes

  2. Cattle grazing in fields in Northern Ireland

    Catchment

    Human activities

    • Agriculture

      fertilizer use, livestock

    • Industrial discharges

    • Wastewater treatment plants

    • Urban areas and runoff

    • Land use, soils, geology, riparian vegetation

  3. A river winding between farm fields, seen from above

    Tributaries

    Rivers and streams

    • Physical

      flow, depth, temperature, turbidity

    • Chemical

      nutrients, oxygen, pH, conductivity

    • Biological

      chlorophyll-a, phycocyanin, cyanobacteria, riparian vegetation

  4. Morning mist over Lough Neagh, framed by trees

    Lough Neagh

    In-lake processes

    • Physical

      water level, temperature, turbidity, residence time

    • Chemical

      nutrients, oxygen, pH, conductivity

    • Biological

      chlorophyll-a, phycocyanin, cyanobacteria, species

    • Internal nutrient cycling

      sediment phosphorus release, internal loading, oxygen

  5. A boat on water covered in a green cyanobacterial bloom, seen from above

    Bloom outcomes

    Customer outcomes

    • Occurrence

      yes or no

    • Location

      where in the lough

    • Extent

      km²

    • Intensity

      chlorophyll-a, phycocyanin, cells

    • Movement

      direction and rate

    • Operational outcomes

      harvest priority, alerts, public access impact

Environmental system flow

  1. External forcing(weather and climate)

  2. Sources and mobilization(catchment activities)

  3. Transport(rivers and streams)

  4. In-lake processes(within Lough Neagh)

  5. Bloom response(outcomes and impacts)

Goal: Understand and quantify how drivers and processes interact across the system to predict and manage cyanobacterial bloom risk in Lough Neagh.

Real satellite view of each stage

Real weather satellite image showing cloud systems over Ireland and the UK

01

External Drivers

Satellite image of farmland and the town of Randalstown in the Lough Neagh catchment

02

Catchment

Satellite image of Six Mile Water flowing through farmland into Lough Neagh near Antrim

03

Tributaries

Real satellite image of Lough Neagh under clear, bloom-free conditions

04

Lough Neagh

Real Sentinel satellite image showing an algal bloom on Lough Neagh

05

Bloom Outcomes

From environmental understanding to actionable intelligence.

The systems analysis above is the foundation. Amelia brings it together with satellite, drone, sensor and ground-truth data, then layers forecasting and monitoring on top, so the output is not just data but a decision.

Data sources

Satellite EO

Drone

Buoys

In-situ sampling

Citizen science

Understand

01

Environmental system understanding

Everything from the systems analysis above, combined to identify the key drivers, interactions and processes that influence bloom dynamics.

Integrate

02

Data integration

Combine and harmonize multi-source environmental data into one picture.

Forecast

03

Bloom forecasting

Predict bloom risk, location, timing and confidence.

Act

04

Monitoring & decision support

Continuous monitoring, alerts, insights and operational recommendations.

Outputs

Harvest planning

Alerts

Monitoring priorities

Stakeholder portal

Satellite coverage. Continuous monitoring.

Multi-spectral satellite imagery mapped algal bloom concentrations across the entire lake surface, continuously. Multi-temporal analysis tracked bloom dynamics, revealing patterns invisible to point-sampling.

Complete spatial coverage. Continuous temporal monitoring. Priority intervention areas identified automatically.

Faster detection. Full-lake intelligence.

Full-lake coverage replaced sparse point sampling. Continuous monitoring replaced periodic checks. Decision-makers received actionable intelligence, not raw data, enabling faster and more targeted responses.

The same approach is offered as an ongoing service for harmful algal bloom monitoring, and runs on Amelia’s Planetary Intelligence Platform.

Common questions

What is the algal bloom problem at Lough Neagh?

Lough Neagh is the UK’s largest lake and supplies 40% of Northern Ireland’s drinking water. Harmful algal blooms there have intensified, threatening water quality, ecosystem health, and public safety. Conventional monitoring has to cover 383 square kilometres of water from a handful of sampling points.

How does satellite monitoring detect algal blooms?

Optical satellites measure water colour and chlorophyll from orbit, so a bloom shows up as a change in what the surface reflects. Radar satellites detect the surface roughness change a bloom causes, and see through cloud. Combining both gives coverage of a whole lake, continuously.

Does satellite monitoring replace water sampling?

No. Satellite monitoring augments in-situ sampling, it never replaces it. Only a physical sample confirms a bloom and its toxicity. What orbit adds is knowing where and when to sample: full-lake coverage between visits, so limited field effort goes to the water that warrants it.

Can this approach work on other lakes and reservoirs?

Yes. The imagery is public and global, so the same method applies to any water body large enough to resolve from orbit. What changes between sites is local context: inflows, land use, depth, and the sampling regime already in place. Amelia scopes that per water body.

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.

Prefer email? info@ameliaspace.com