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Remote Sens. 2015, 7(4), 3548-3564;

Sea Surface Wind Retrievals from SIR-C/X-SAR Data: A Revisit

Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China
Guangxi Key Laboratory of Spatial Information and Geomatics, Guilin University of Technology, Guilin 541004, China
Author to whom correspondence should be addressed.
Academic Editors: Richard Gloaguen and Prasad S. Thenkabail
Received: 22 November 2014 / Revised: 16 February 2015 / Accepted: 17 March 2015 / Published: 26 March 2015
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The 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
Keywords: X-band Synthetic Aperture Radar (SAR); SIR-C/X-SAR; sea surface wind field; retrieval X-band Synthetic Aperture Radar (SAR); SIR-C/X-SAR; sea surface wind field; retrieval

Figure 1

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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.

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