• DocumentCode
    2854927
  • Title

    Exploiting Physical and Topographic Information within a Fuzzy Scheme to Map Flooded Area by SAR

  • Author

    Macina, F. ; Bignami, C. ; Chini, M. ; Pierdicca, N.

  • Author_Institution
    Dept. of Electron. Eng., Univ. "La Sapienza", Rome
  • fYear
    2006
  • fDate
    July 31 2006-Aug. 4 2006
  • Firstpage
    1052
  • Lastpage
    1055
  • Abstract
    An inundation event occurred in Italy on November 1994 has been analysed in order to asses the capability to map the flooded areas by radar (SAR) images in support to civil protection interventions. ERS images collected before and after the inundation have shown the presence of different scattering mechanisms occurring in the flooded areas and originating either an increase or a decrease of the backscattering coefficient, depending on the land covers type. This analysis has allowed us to develop a flood discrimination procedure based on a fuzzy approach able to integrate all the possible sources of available data (SAR images, land cover and a DEM) and prior information (cover dependent backscattering behaviour). A comparison with a ground survey providing the maximum flood extension has given encouraging results.
  • Keywords
    floods; fuzzy set theory; fuzzy systems; geophysics computing; hydrological techniques; remote sensing by radar; synthetic aperture radar; AD 1994 11; Italy; SAR images; civil protection interventions; flood discrimination procedure; flooded area map; fuzzy scheme; ground survey; inundation event; inundation images collection; land covers type; maximum flood extension; scattering mechanisms; synthetic aperture radar; topographic information; Backscatter; Floods; Image analysis; Information analysis; Infrared sensors; Radar remote sensing; Radar scattering; Rivers; Soil; Synthetic aperture radar;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2006. IGARSS 2006. IEEE International Conference on
  • Conference_Location
    Denver, CO
  • Print_ISBN
    0-7803-9510-7
  • Type

    conf

  • DOI
    10.1109/IGARSS.2006.271
  • Filename
    4241418