• DocumentCode
    2200115
  • Title

    An exeriment for high speed retrieval by ENVISAT-ASAR cross-polarized observations

  • Author

    Jie, Guo ; He, Yijun

  • Author_Institution
    Key Lab. of Coastal Zone Environ. Processes, Yantai Inst. of Coastal Zone Res., Yantai, China
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    2809
  • Lastpage
    2812
  • Abstract
    We present a new empirical C-band cross-polarization ocean backscatter model for high wind retrievals, from ENVISAT-ASAR. The model relates normalized radar cross section (NRCS) in cross-polarization (VV/VH) to the wind speed at 10-m height. This wind retrieval model has the remarkable characteristic that it is independent of SAR radar incidence angles or wind directions but is extremely linear with respect to wind speeds, especially high winds. To evaluate the accuracy of the proposed model, winds were retrieved from a dual-polarization ASAR image of storm surge and to retrieve wind direction by CMOD5, using the new model and compared with ASAR data. A root mean square error of retrieval wind speed is about 1.13m/s in new empirical C-band model and wind direction is about 16.16°.
  • Keywords
    atmospheric boundary layer; atmospheric techniques; backscatter; oceanography; radiowave propagation; remote sensing by radar; storms; synthetic aperture radar; wind; ENVISAT-ASAR cross polarized observations; NRCS; SAR radar incidence angle independence; dual polarization ASAR image; empirical C-band cross polarization ocean backscatter model; high speed wind retrievals; model accuracy; normalized radar cross section; storm surge; wind direction independence; wind direction retrieval; wind retrieval model; Radar cross section; Sea measurements; Synthetic aperture radar; Wind speed; Advanced Scatterometer; CMOD5; ENVISAT-ASAR; cross-polarization; high winds;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
  • Conference_Location
    Munich
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4673-1160-1
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2012.6350848
  • Filename
    6350848