• DocumentCode
    143749
  • Title

    Combined use of multi-temporal COSMO-SkyMed data and a hydrodynamic model to monitor flood dynamics

  • Author

    Pulvirenti, Luca ; Boni, Giorgio ; Pierdicca, Nazzareno ; Fiorini, Mattia ; Rudari, Roberto

  • Author_Institution
    CIMA Res. Found., Savona, Italy
  • fYear
    2014
  • fDate
    13-18 July 2014
  • Firstpage
    3346
  • Lastpage
    3349
  • Abstract
    The availability of the data provided by present and future constellations of Synthetic Aperture Radar (SAR) sensors and the development of reliable flood mapping algorithms allows producing frequent flood maps characterized by high spatial resolution. Progresses have been also achieved in flood modeling, so that a joint use of SAR-derived and model-derived inundation maps seems to be very promising to improve flood mapping accuracy. This paper presents the major outcomes of a combined use of a multi-temporal series of COSMO-SkyMed observations and of a hydrodynamic model, accomplished within the framework of an activity aiming at the interpretation of the dynamics of the flood that hit Albania in January 2010. By calibrating the model with the COSMO-SkyMed derived maps, a number of products, such as a map of the maximum water depth, can be generated. Results show a good agreement between SAR-derived and model-derived flood extents. Moreover, the maximum water depths are found in the areas where floodwater was present for the longest period of time, according to COSMO-SkyMed observations.
  • Keywords
    floods; hydrological techniques; remote sensing by radar; synthetic aperture radar; AD 2010 01; Albania; COSMO-SkyMed derived maps; COSMO-SkyMed observations; SAR sensors; SAR-derived inundation maps; flood dynamics monitor; flood mapping accuracy; flood modeling; floodwater; hydrodynamic model; maximum water depth; model-derived inundation maps; multitemporal COSMO-SKYMED data; reliable flood mapping algorithms; synthetic aperture radar; Data models; Floods; Hydrodynamics; Monitoring; Numerical models; Reliability; Synthetic aperture radar; COSMO-SkyMed®; SAR; floods; hydrodynamic model;
  • 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.2014.6947197
  • Filename
    6947197