• DocumentCode
    142960
  • Title

    The use of high-resolution Radarsat-2 and Terrasar-X imagery to monitor dry-fallen intertidal flats

  • Author

    Gade, Martin ; Melchionna, Sabrina

  • Author_Institution
    Center fur Erdsytemforschung und Nachhaltigkeit (CEN), Univ. Hamburg, Hamburg, Germany
  • fYear
    2014
  • fDate
    13-18 July 2014
  • Firstpage
    1218
  • Lastpage
    1221
  • Abstract
    High-resolution Synthetic Aperture Radar (SAR) data of dry-fallen intertidal flats in the German Wadden Sea have been analyzed with respect to the imaging of sediments, macrophytes, and mussels. A large number of high-resolution TerraSAR-X and Radarsat-2 images of five test areas along the German North Sea coast were acquired in 2012 and 2013 and form the basis for the present investigation. Depending on the type of sediment, but also on the water level and on environmental conditions (wind speed) exposed sediments may show up on SAR imagery as areas of enhanced, or reduced, radar backscattering. The (multi-temporal) analysis of series of such images allows for the detection of mussel beds, and our results show evidence that also single-acquisition, multi-polarization SAR imagery can be used for that purpose.
  • Keywords
    environmental monitoring (geophysics); oceanographic regions; remote sensing by radar; sea level; sedimentation; sediments; AD 2012 to 2013; German North Sea coast; German Wadden Sea; SAR data; Terrasar-X imagery; dry-fallen intertidal flats monitoring; environmental conditions; high-resolution Radarsat-2; macrophytes; multitemporal analysis; mussel beds; mussels; radar backscattering; sediments; synthetic aperture radar; water level; wind speed; Backscatter; Monitoring; Radar imaging; Sea coast; Standards; Synthetic aperture radar; SAR; coastal remote sensing; intertidal flats; mussel beds; sediments;
  • 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.2014.6946651
  • Filename
    6946651