An Index-Based Flood Mapping Using Stokes Parameters of Multitemporal SAR Images: 2019 Hagibis Flood Event of Ibaraki, Japan

We performed flood inundation mapping using polarimetry decompositions on Sentinel-1 synthetic aperture radar data for the 2019 Hagibis flood event in Ibaraki, Japan. We have proposed an index-based method based on Stokes parameters obtained from dual-polarized Sentinel-1 data. Our method shows that the eigenvalue λ1-based flood inundation (FI) map achieves an F1 score of approximately 0.73 compared to a high-resolution flooded optical image.