• DocumentCode
    143747
  • Title

    Development of a methodology for flood hazard detection in urban areas from RADARSAT-2 imagery

  • Author

    Tanguy, Marion ; Bernier, Monique ; Chokmani, Karem ; Gauthier, Yves ; Poulin, Jimmy

  • Author_Institution
    Centre Eau Terre et Environ., Inst. Nat. de la Rech. Sci., Quebec City, QC, Canada
  • fYear
    2014
  • fDate
    13-18 July 2014
  • Firstpage
    3342
  • Lastpage
    3345
  • Abstract
    Due to their capacity do acquire data day-and-night, whatever the meteorological conditions may be, and to the improved spatial resolution of the new generation of SAR sensors such as RADARSAT-2, COSMO-SkyMed or TerraSAR-X (~ 1 to 3 m with fine acquisition modes), SAR imagery is the most suitable tool for the detection of flooded areas in a context of crisis management. However, due to the complexity of the backscattered signal in urban environments, the development of precise and automated methods for flood detection in urban areas with SAR imagery is still challenging. A new approach for flood delineation and mapping in urban areas, combining RADARSAT-2 imagery and probability of flooding data simulated by a flood dynamic risk mapping tool is presented in this paper.
  • Keywords
    floods; geophysical image processing; hydrological techniques; image resolution; radar imaging; remote sensing by radar; synthetic aperture radar; COSMO-SkyMed imagery; RADARSAT-2 imagery; SAR imagery; TerraSAR-X imagery; automated methods; backscattered signal; crisis management; dynamic risk mapping tool; flood hazard detection; flooded areas detection; flooding data probability; meteorological conditions; urban areas; urban environments; Context; Floods; Rivers; Sensors; Synthetic aperture radar; Urban areas; Radar remote sensing; flood mapping; hydraulic modelling;
  • 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.2014.6947196
  • Filename
    6947196