CASE STUDY

    SECTOR

    National Mapping, Natural Resources and Environment

    Satellite view

    Source: Forbes

    leveraging-earth-observation-and-ai-for-advanced-predictive-detection-of-sewage-pollution

    image

    Source: Forbes

    Project Details

    The SEEDS programme, launched by CGI and the UNFCCC, focuses on addressing water pollution and sustainability issues through advanced Earth observation and data science. The programme targets the growing problem of untreated sewage entering UK rivers and oceans, exacerbated by climate change-driven weather events like increased rainfall and flash flooding. Using satellite imagery from Planet and detailed geospatial data from Ordnance Survey (OS), the initiative aims to develop a robust monitoring and predictive system. This system can detect sewage overspills, predict future incidents, and identify impacted areas. Data gathered from these sources feeds into AI models that can predict overflow events with a 91.5% accuracy rate. The models not only help mitigate the impacts of sewage discharge but also guide investment in infrastructure improvements to better manage sewage overflow and enhance water quality.



    Solutions
    Product Used

    Value Propositions

    Return on Investment (RoI)
    Geo_icon
    GeographyEurope

    Location_icon
    CountryUK

    Project_owner
    Project Owner

    CGI Inc.; United Nations Framework Convention on Climate Change (UNFCCC)


    Project_stakeholder_icon
    Project/Technology Stakeholder

    Ordnance Survey Limited; Planet Labs PBC



    Technology Used
    Sector Focus
    SDGs
    Recognition/ Awards

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