• DocumentCode
    143927
  • Title

    Flood mapping by SAR: Possible approaches to mitigate errors due to ambiguous radar signatures

  • Author

    Pierdicca, Nazzareno ; Pulvirenti, Luca ; Chini, Marco ; Boni, Giorgio ; Squicciarino, Giuseppe ; Candela, Laura

  • Author_Institution
    Dept. Inf. Eng., Electron. & Telecommun., Sapienza Univ. of Rome, Rome, Italy
  • fYear
    2014
  • fDate
    13-18 July 2014
  • Firstpage
    3850
  • Lastpage
    3853
  • Abstract
    The latest generation of synthetic aperture radar (SAR) systems allows providing emergency managers with near real time flood maps characterized by a very high spatial resolution. Near real time flood detection algorithms generally search for regions of low backscatter, thus assuming that floodwater appears dark in a SAR image. It is well known that this assumption is not always valid. For instance, in urban areas, the double bounce backscattering involving ground and vertical walls produce high radar return that can be further increased by the presence of the highly reflective floodwater. In addition, even mapping bare or scarcely vegetated inundated terrains, or crops totally submerged by water can turn out to be a difficult task. In fact, in the presence of significant wind that roughens the water surface, floodwater can appear bright in SAR images. This paper proposes possible strategies to cope with flood mapping using SAR data in urban areas and in the presence of significant wind. In particular, the use of the interferometric coherence for floodwater detection in urban areas and the use of an electromagnetic model able to simulate the radar return from shallow water as function of the wind field are proposed.
  • Keywords
    floods; hydrological techniques; remote sensing by radar; synthetic aperture radar; SAR systems; ambiguous radar signatures; electromagnetic model; flood mapping; floodwater detection; high radar return; near real time flood detection algorithms; near real time flood maps; synthetic aperture radar; vertical walls; very high spatial resolution; Backscatter; Coherence; Floods; Image segmentation; Synthetic aperture radar; Urban areas; COSMO-SkyMed; Coherence; Floods; Interferometry; SAR; Shallow Waters; Wind;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
  • Conference_Location
    Quebec City, QC
  • Type

    conf

  • DOI
    10.1109/IGARSS.2014.6947324
  • Filename
    6947324