ir. Lisa Landuyt

Lisa LanduytIn the years I spent as a student at the faculty of Bioscience Engineering, Ghent University, a very wide range of scientific insights was offered to me. However, our interaction with the environment and how we can properly manage it is one of the things that interests me the most. In this respect, I opted for the master in land and water management and wrote my master thesis about the fate of heavy metals in river systems. Since October 2016, I work at the Laboratory of Hydrology and Water Management as a scientific researcher with my focus on the remote sensing of floods. More specifically, my research focuses on optimizing flood mapping on SAR imagery in order to enhance the existing flood forecasting models through data assimilation.


Research topicsremote sensing, SAR imagery, flood inundation.


Address: Coupure links 653 - Room A2.010

               9000 Ghent, Belgium

Phone: +32 9 264 61 40



  • 2016 – Present: Doctoral research scientist – Laboratory of Hydrology and Water Management, Ghent University
  • 2011 – 2016: MSc. In Applied Biological Sciences – Land and Water Management, Ghent University


    • FWO - Improving flood forecasting based on optimized flood mapping from radar images (2016 - 2020)


    1. Landuyt, L., Verhoest, N.E.C., Van Coillie, F.M.B. Flood Mapping in Vegetated Areas Using an Unsupervised Clustering Approach on Sentinel-1 and-2 Imagery, Remote Sensing, 12 (21), 3611, 2020.
    2. Landuyt, L., Van Wesemael, A., Schumann, G.J.-P., Hostache, R., Verhoest, N.E.C., Van Coillie, F.M.B. Flood Mapping Based on Synthetic Aperture Radar: An Assessment of Established Approaches, IEEE Transactions on Geoscience and Remote Sensing, 57 (2), 722-739, 2018.
    3. Debusscher, B., Landuyt, L., Van Coillie, F.M.B. A Visualization Tool for Flood Dynamics Monitoring Using a Graph-Based Approach, Remote Sensing, 12 (13), 2118, 2020.
    4. Van Wesemael, A., Landuyt, L., Lievens, H., & Verhoest, N. E. Improving flood inundation forecasts through the assimilation of in situ floodplain water level measurements based on alternative observation network configurations. Advances in Water Resources, 130, 229-243, 2019.