Sea Surface Wind Retrievals from SIR-C/X-SAR Data: A Revisit
AbstractThe Geophysical Model Function (GMF) XMOD1 provides a linear algorithm for sea surface wind field retrievals for the Spaceborne Imaging Radar-C/X-band Synthetic Aperture Radar (SIR-C/X-SAR). However, the relationship between the normalized radar cross section (NRCS) and the sea surface wind speed, wind direction and incidence angles is non-linear. Therefore, in this paper, XMOD1 is revisited using the full dataset of X-SAR acquired over the ocean. We analyze the detailed relationship between the X-SAR NRCS, incidence angle and sea surface wind speed. Based on the C-band GMF CMOD_IFR2, an updated empirical retrieval model of the sea surface wind field called SIRX-MOD is derived. In situ buoy measurements and the scatterometer data of ERS-1/SCAT are used to validate the retrieved sea surface wind speeds from the X-SAR data with SIRX-MOD, which respectively yield biases of 0.13 m/s and 0.16 m/s and root mean square (RMS) errors of 1.83 m/s and 1.63 m/s. View Full-Text
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Ren, Y.; Li, X.-M.; Zhou, G. Sea Surface Wind Retrievals from SIR-C/X-SAR Data: A Revisit. Remote Sens. 2015, 7, 3548-3564.
Ren Y, Li X-M, Zhou G. Sea Surface Wind Retrievals from SIR-C/X-SAR Data: A Revisit. Remote Sensing. 2015; 7(4):3548-3564.Chicago/Turabian Style
Ren, Yongzheng; Li, Xiao-Ming; Zhou, Guoqing. 2015. "Sea Surface Wind Retrievals from SIR-C/X-SAR Data: A Revisit." Remote Sens. 7, no. 4: 3548-3564.