Detecting, sensing and sampling

The project will use and combine automatic sensors (in-situ and satellite based), the Internet of Things (IoT) and artificial intelligence techniques to anticipate and forecast flood or hazmat incidents thus minimizing human intervention.


Expected outputs:

  • A review of the application of remote sensing products and services for early warning and model validation for hazards in transitional water
  • A methodology for use of early-warning pollution indicators and sentinels in continuous monitoring stations
  • A novel modelling approach for estimation of human-controlled river discharges
  • Expansion of the existing CEDRE’s chemical products database (HNS and MARPOCS)
  • A report on experimental characterisation of chemicals behaviour in rivers and open sea
  • A gap analysis of detection capabilities and assessment tool for interpreting results