Journal of East China Normal University(Natural Sc ›› 2017, Vol. 2017 ›› Issue (6): 126-135,146.doi: 10.3969/j.issn.1000-5641.2017.06.012

• Estuary and Coastal Research • Previous Articles     Next Articles

Sea surface wind vector retrieval off the Yangtze Estuary based on Sentinel-1A

QI Xian-yun, ZHOU Yun-xuan, TIAN Bo, YU Peng   

  1. State Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai 200062, China
  • Received:2016-12-08 Online:2017-11-25 Published:2017-11-25

Abstract: This paper selected SAR images in the Yangtze Estuary from Sentinel-1A which was launched by ESA. Firstly, it extracts high-precise wind direction using multilevel wavelet transform and fourier transform. Secondly, wind speed information are obtained through three kinds of CMOD models of GMF, and compare with five sets of in-situ data and as well as wind vector from ECMWF. The results indicats that except for some sub-images containing complex texture, the precision of SAR-derived wind field is better than that of ECMWF. The multiscale wavelet transform is conducive to wind field retrieval (RMSE of wind direction are 31.6°, 29.7°, 23.5° respectively), especially the wind speed retrieval after the second level wavelet (RMSE of wind speed is 0.8 m/s). Among CMOD models, CMOD-IFR2 and CMOD4 are suitable for coastal area of the Yangtze Estuary (RMSE of wind speedis 1.08 m/s and 1.05 m/s respectively).

Key words: synthetic aperture radar, wind vector retrieval, wavelet transform, fourier transform, CMOD models

CLC Number: