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EomoresWater quality monitoring services for inland waters

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Earth Observation-based Services for Monitoring and Reporting of Ecological Status. Algae, plants, health impacts, ecosystem assessment, spatial planning, event characterization, spatial planning, policy and water resource management, all based on earth observation, innovative in situ measurements and ecological modelling. Download the product and service portfolio here: https://eomores.eu/wp-content/uploads/2020/01/2020_01_13_Product_portfolio_small.pdf
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Inland and coastal water bodies constitute essential components of ecology and biodiversity. They buffer climate change and influence many aspects of economy (recreation, fisheries) and human welfare (e.g. drinking water supply). Knowledge about the state of these waters is therefore of great importance. This is recognized by the Water Framework Directive (WFD) requiring the EU member states to monitor and improve the status of these water bodies.

EOMORES will develop fully-automated commercial, reliable and sustainable services based on the integration of Earth observation (Sentinel 1, 2 and 3), in situ monitoring using optical in situ sensors with integrated GNSS positioning, and ecological modeling. The validated data from these components will be flexibly combined into higher-level products to fit the users’ information needs. Three service concepts are envisaged: 

  1. operational water quality monitoring and forecasting for operational water management;
  2. implementation of validated EO-based water quality indicators for WFD and other reporting; 
  3. historic compilation of data for specific ecological analysis.

The target users of EOMORES are international, national and regional authorities responsible for monitoring and management of water quality and for WFD reporting. Additional targeted users are private entities dealing with water quality. Thirteen users from six countries have committed to collaborate with the consortium to define and evaluate the EOMORES services. The services are expected to result in lower operational costs, more reliable and more timely water quality datasets for water managers.

Methods: Ecological Modeling, Optical Devices, In Situ, Sentinel-3, Sentinel-2, WISP-3