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    Promoting research and development in flood science

    Using computer simulations, earth observation and satellite technology, RSS-Hydro offer innovative solutions to flood science.

    RSS-Hydro works towards promoting research and development, focusing its activities pivoting around three business pillars: research, development of science-driven products and expert scientific consulting.

    RSS-Hydro’s Research and Education Department is a government-accredited research institute which hopes to receive public funding to allow the business to train PhD students and postdoctoral scholars. RSS-Hydro’s RED overall mission is to establish a globally influential private R&D centre in flood science, with strategic public-private partnerships. RSS-Hydro’s dedicated team work towards combining innovative technologies from universities, research institutions, and joint ventures by building strong collaborations with many international organisations. RSS-Hydro is a proud member of the Luxembourg Space Cluster, the Open Geospatial Consortium and EARSC.

    RSS-Hydro’s team consists of senior scientists, including a recipient of an industrial fellowship award from the Luxembourg National Research Fund (FNR) in collaboration with the University of Luxembourg. The team regularly submits research projects to the European Commission, the European Space Agency, and other national and international programmes. RSS-Hydro’s main revenue stream comes from research and development projects.

    Given the high demand from the flood disaster response community to offer more innovation in the EO application market, RSS-Hydro focuses resources and R&D projects to effectively respond to this market gap. RSS-Hydro is constantly committed to better serve flood science to everyone and engage end-users from a variety of different sectors by assisting them in developing better products for their needs or using new and existing services in a way that produces better actionable information.

    AREAS OF EXPERTISE:

    • Remote sensing (Satellites, airborne, UAV)
    • Hydrology
    • Topography (DEM)
    • Flood Modelling
    • Machine Learning

    RESEARCH INTERESTS:

    • Flood disaster assistance
    • Flood risk
    • Extreme value analysis
    • Innovation in industry
    • Education
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