• DocumentCode
    142959
  • Title

    Detecting and tracking small scale eddies in the black sea and the Baltic Sea using high-resolution Radarsat-2 and TerraSAR-X imagery (DTeddie)

  • Author

    Dreschler-Fischer, Leonie ; Lavrova, Olga ; Seppke, Benjamin ; Gade, Martin ; Bocharova, Tatiana ; Serebryany, Andrey ; Bestmann, Oliver

  • Author_Institution
    Dept. of Inf., Univ. of Hamburg, Hamburg, Germany
  • fYear
    2014
  • fDate
    13-18 July 2014
  • Firstpage
    1214
  • Lastpage
    1217
  • Abstract
    High-resolution Synthetic Aperture radar (SAR) images of coastal and off-coastal areas provide a nearly weather independent monitoring of small-scale oceanographic features. In this paper, we describe the advances, which have been achieved within the DTeddie project. Therefore, we present the application of formerly developed algorithms to high-resolution SAR data to estimate the sea surface current at sub-mesoscale. Inside the derived current sea surface current fields, vortical structures, e.g. eddies, will be detected by means of local current anomalies. Another approach uses the alignment of anchored ships as an indicator of the sea surface current. To infer dependent information for each ship, we present an automatic registration method between coastal photographs and the SAR images. Both approaches have proven to yield valuable results with respect to the detection of vortical current flows at sub-mesoscale.
  • Keywords
    ocean waves; oceanographic regions; remote sensing by radar; synthetic aperture radar; Baltic sea; Black sea; DTeddie project; RADARSAT-2 imagery; TERRASAR-X imagery; automatic registration method; coastal areas; coastal photographs; high-resolution SAR data; sea surface current; small scale eddy detectiom; small scale eddy tracking; synthetic aperture radar; Films; Marine vehicles; Radar tracking; Satellites; Sea measurements; Sea surface; Synthetic aperture radar; SAR; coastal remote sensing; eddies; multi-modal registration;
  • 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.2014.6946650
  • Filename
    6946650