• DocumentCode
    484046
  • Title

    RADARSAT ScanSAR Wind Retrieval and Rain Effects on ScanSAR Measurements Under Hurricane Conditions

  • Author

    Nie, Congling ; Long, David G.

  • Author_Institution
    Electr. & Comput. Eng. Dept., Brigham Young Univ., Provo, UT
  • Volume
    2
  • fYear
    2008
  • fDate
    7-11 July 2008
  • Abstract
    RADARSAT-1 ScanSAR SWA images of Hurricane Katrina are used to retrieve surface wind vectors over the ocean. Collocated H*wind wind directions are used as the wind direction while the wind speed is derived from SAR sigmadeg by inversion of a C-band HH-polarization Geophysical Model Function (GMF) that is derived from the VV-polarization GMF, CMOD5, using a polarization ratio model. Because existing polarization models do not fit the ScanSAR SWA data well, a recalibration model is proposed to "recalibrate" the ScanSAR SWA images. Validated with collocated H*wind wind speed estimates, the mean difference between SAR-retrieved and H*wind speed is small and the root mean square (RMS) error is below 4 m/s. Rain effects on the ScanSAR measurements are analyzed for an incidence angle range of 22deg to 23.6deg using collocated ground-based Doppler weather radar (NEXRAD) rain measurements.
  • Keywords
    Doppler radar; meteorological radar; rain; remote sensing by radar; storms; wind; C-band HH- polarization Geophysical Model Function; CMOD5; Hurricane Katrina; NEXRAD surface rain rate; RADARSAT-1 ScanSAR SWA images; VV-polarization Geophysical Model Function; ground-based Doppler weather radar; polarization ratio model; rain measurements; recalibration model; retrieve surface wind vectors; root mean square error; wind directions; wind speed; Geophysical measurements; Hurricanes; Image retrieval; Oceans; Polarization; Rain; Root mean square; Sea measurements; Sea surface; Wind speed;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International
  • Conference_Location
    Boston, MA
  • Print_ISBN
    978-1-4244-2807-6
  • Electronic_ISBN
    978-1-4244-2808-3
  • Type

    conf

  • DOI
    10.1109/IGARSS.2008.4779036
  • Filename
    4779036