• DocumentCode
    291782
  • Title

    Mapping of sea bottom topography in a multi sensor approach

  • Author

    Vogelzang, J. ; Wensink, G.J. ; van der Kooij, M. ; Alpers, W. ; Hennings, I. ; Matthews, J.P.

  • Author_Institution
    Rijkswaterstaat, Rijswijk, Netherlands
  • Volume
    3
  • fYear
    1994
  • fDate
    8-12 Aug 1994
  • Firstpage
    1742
  • Abstract
    Three remote sensing methods for obtaining information on sea bottom topography have been investigated: passive optical bathymetry, sun glint observation and radar observation. Optical and microwave remotely sensed data as well as extensive in-situ data, including a detailed bathymetric map, were gathered in a sand wave area off the Dutch coast. These data were compared with each other and with model predictions. The models are based on the current state-of-the-art, with some extensions. Passive optical bathymetry has limited use above the North Sea because of its limited depth range. Sun glint observation of bottom topography is possible, but its practical applicability is limited by the requirement of low wind speeds and cloudless weather. Radar observation with an imaging radar operating at long wavelengths has the highest potential. The agreement between radar data and model predictions is not always good, due to lack of knowledge on the basic processes. However, in cases where there is good agreement, the imaging model can be inverted numerically to retrieve depth information from radar images
  • Keywords
    bathymetry; geophysical techniques; ocean waves; oceanographic techniques; radar applications; radar imaging; remote sensing; remote sensing by radar; sand; seafloor phenomena; sediments; spaceborne radar; Dutch coast; North Sea; bathymetry; geophysical measurement technique; microwave; multi sensor approach; optical imaging; passive optical bathymetry; radar remote sensing; sand wave; sea bottom topography; sea coast; sea surface; seabed; seafloor topography; sun glint; Laser radar; Optical imaging; Optical sensors; Passive radar; Predictive models; Radar imaging; Radar remote sensing; Remote sensing; Sun; Surfaces;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 1994. IGARSS '94. Surface and Atmospheric Remote Sensing: Technologies, Data Analysis and Interpretation., International
  • Conference_Location
    Pasadena, CA
  • Print_ISBN
    0-7803-1497-2
  • Type

    conf

  • DOI
    10.1109/IGARSS.1994.399552
  • Filename
    399552