• DocumentCode
    3060198
  • Title

    Detection of flooded vegetation and measurements of water level changes using Radarsat-2

  • Author

    Poncos, Valentin ; Molson, Stephen ; Welch, Andy ; Brazeau, Stephanie

  • Author_Institution
    Kepler Space Inc., Ottawa, ON, Canada
  • fYear
    2013
  • fDate
    21-26 July 2013
  • Firstpage
    2208
  • Lastpage
    2211
  • Abstract
    A specific double-bounce radar backscattering mechanism observed in C-band Radarsat-2 data is used to measure water level changes in areas of wetland and inundated vegetation. The backscattered SAR signal from the water - vegetation double bounce mechanism is usually much stronger than the backscattered signal from the double bounce from dry surfaces. This is because the smooth water level reflects most of the signal along a preferential direction towards the vegetation canopy, as opposed to the dry ground which scatters the signal in multiple direction. As an effect, the SAR amplitude is stronger than the one related to dry vegetation and the interferometric phase maintains coherence in time, making possible accurate phase measurements related to water level changes.
  • Keywords
    floods; remote sensing by radar; vegetation; C-band Radarsat-2 data; SAR amplitude; backscattered SAR signal; dry vegetation; flooded vegetation detection; inundated vegetation; specific double-bounce radar backscattering mechanism; vegetation canopy; vegetation double bounce mechanism; water level change measurements; wetland areas; Area measurement; Moisture; Pollution measurement; Synthetic aperture radar; Temperature measurement; Vegetation mapping; Water resources; InSAR; Radarsat-2; Wetlands; double-bounce scattering; water level change;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
  • Conference_Location
    Melbourne, VIC
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4799-1114-1
  • Type

    conf

  • DOI
    10.1109/IGARSS.2013.6723254
  • Filename
    6723254