• DocumentCode
    2683363
  • Title

    Using airborne laser altimetry to improve river flood extents delineated from SAR data

  • Author

    Mason, D.C. ; Amico, J. T Dall ; Scott, T.R. ; Horritt, M.S. ; Bates, P.D.

  • Author_Institution
    Univ. of Reading, Reading
  • fYear
    2007
  • fDate
    23-28 July 2007
  • Firstpage
    5017
  • Lastpage
    5020
  • Abstract
    Flood extent maps derived from SAR images are a useful source of data for validating hydraulic models of river flood flow. The accuracy of such maps is reduced by a number of factors, including changes in returns from the water surface caused by different meteorological conditions and the presence of emergent vegetation. The paper describes how improved accuracy can be achieved by modifying an existing flood extent delineation algorithm to use airborne laser altimetry (LiDAR) as well as SAR data. The LiDAR data provide an additional constraint that waterline (land-water boundary) heights should vary smoothly along the flooded reach. The method was tested on a SAR image of a flood for which contemporaneous aerial photography existed, together with LiDAR data of the un-flooded reach. Waterline heights of the SAR flood extent conditioned on both SAR and LiDAR data matched the corresponding heights from the aerial photo waterline significantly more closely than those from the SAR flood extent conditioned only on SAR data.
  • Keywords
    floods; height measurement; hydrological techniques; optical radar; remote sensing by radar; rivers; synthetic aperture radar; SAR data; airborne laser altimetry; flood extent delineation algorithm; flood extent map; land-water boundary heights; lidar data; river flood extent delineation; river flood flow hydraulic model; Floods; Infrared sensors; Land surface; Laser radar; Radar imaging; Rivers; Rough surfaces; Surface roughness; Testing; Vegetation mapping; Laser applications; Synthetic aperture radar; Water resources; component;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007. IEEE International
  • Conference_Location
    Barcelona
  • Print_ISBN
    978-1-4244-1211-2
  • Electronic_ISBN
    978-1-4244-1212-9
  • Type

    conf

  • DOI
    10.1109/IGARSS.2007.4423988
  • Filename
    4423988