Project

Improving the accuracy of flood inundation forecasts through remote sensing and in situ measurements

Code
01J04015
Duration
01 September 2015 → 30 June 2020
Funding
Regional and community funding: Special Research Fund
Research disciplines
  • Natural sciences
    • Physical geography and environmental geoscience
  • Engineering and technology
    • Construction engineering
    • Earthquake engineering
    • Geotechnical and environmental engineering
    • Water engineering
    • Wind engineering
    • Communications technology
    • Geomatic engineering
Keywords
modelling remote sensing uncertainty flooding
 
Project description

Flood inundation models serve as important tools in flood risk management. However, these models make use of as well uncertain input data as model paramters which reduce their predictive skill. In this project, it will be investigated whether assimilating both remote sensing observations of flood extent and in situ measurements within the flood plain can improve flood inundation model predictions.