• DocumentCode
    513450
  • Title

    Sea surface transport derived by frequent revisit time series of COSMO SkyMed SAR data

  • Author

    Ciappa, A. ; Pietranera, L. ; Coletta, A.

  • Author_Institution
    Earth Obs. Unit, e-Geos/Telespazio SpA, Rome, Italy
  • Volume
    2
  • fYear
    2009
  • fDate
    12-17 July 2009
  • Abstract
    The surface transport of `SAR detectable´ features on sea is accurately estimated by couples of overlapping COSMO SkyMed ScanSAR images acquired with a very short time lag (below the hour). Tests performed with the two satellites constellation during 2008 (4 operative by 2010) provided pairs of overlapping images with a time shift of 48 minutes and with a repeat time from 12 to 24 h. The short time lag acquisition has two advantages: the first is that the pair of overlapping images is a sort of time derivative from which an accurate estimate of the surface transport can be extracted, the second is that the deformation of the `tracked features´ in the short time interval is minimal and a large number of objects can be tracked, even with the only automated processing. The sea surface transport is a crucial data in case of marine emergencies and the accurate estimate greatly improves the surveillance and the forecasting capability. Overlapping and short time lagged SAR imagery provide surface transport data of detectable objects with all-weather conditions.
  • Keywords
    geophysical image processing; remote sensing by radar; synthetic aperture radar; AD 2008; COSMO SkyMed ScanSAR images; SAR imagery; marine emergencies; overlapping images; repeat time; satellites constellation; sea surface transport; short time lag acquisition; surface transport data; time derivative; time series; time shift; tracked features; weather conditions; Aggregates; Computer vision; Geometry; Ice surface; Petroleum; Rough surfaces; Satellites; Sea surface; Surface cracks; Surface roughness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium,2009 IEEE International,IGARSS 2009
  • Conference_Location
    Cape Town
  • Print_ISBN
    978-1-4244-3394-0
  • Electronic_ISBN
    978-1-4244-3395-7
  • Type

    conf

  • DOI
    10.1109/IGARSS.2009.5418206
  • Filename
    5418206