Preprint Article Version 1 This version is not peer-reviewed

Preliminary Analysis of Wind Retrieval Based on GF-3 Wave Mode Images

Version 1 : Received: 16 April 2018 / Approved: 17 April 2018 / Online: 17 April 2018 (11:05:28 CEST)
Version 2 : Received: 18 April 2018 / Approved: 18 April 2018 / Online: 18 April 2018 (15:41:43 CEST)
Version 3 : Received: 5 May 2018 / Approved: 8 May 2018 / Online: 8 May 2018 (15:20:52 CEST)
Version 4 : Received: 9 May 2018 / Approved: 9 May 2018 / Online: 9 May 2018 (13:48:16 CEST)

A peer-reviewed article of this Preprint also exists.

Wang, L.; Han, B.; Yuan, X.; Lei, B.; Ding, C.; Yao, Y.; Chen, Q. A Preliminary Analysis of Wind Retrieval, Based on GF-3 Wave Mode Data. Sensors 2018, 18, 1604. Wang, L.; Han, B.; Yuan, X.; Lei, B.; Ding, C.; Yao, Y.; Chen, Q. A Preliminary Analysis of Wind Retrieval, Based on GF-3 Wave Mode Data. Sensors 2018, 18, 1604.

Journal reference: Sensors 2018, 18, 1604
DOI: 10.3390/s18051604

Abstract

In this paper, we analyze the measurements of the normalized radar cross-section(NRCS) in Wave Mode for Chinese C-band Gaofen-3(GF-3) synthetic aperture radar (SAR). Based on 2779 images from GF-3 quad-polarization SAR in Wave Mode and collocated wind vectors from ERA-Interim, we verify the feasibility of using ocean surface wind fields and VV-polarized NRCS to perform normalized calibration. The method uses well-validated empirical C-band geophysical model function (CMOD4) to estimate the calibration constant for each beam. The Amazon rainforest experiment results show that the accuracy of obtained calibration constant meets the requirements. In addition, the relationship between cross-pol NRCS and wind vectors is discussed. The cross-pol NRCS increases linearly with wind speed and it has an approximate cosine modulation with the wind direction when the wind speed is greater than 8m/s. The cross-polarized system noise floor is low enough to ignore it in wind retrieval. Furthermore, we also investigate the properties of the polarization ratio, denoted PR, and show that it is dependent on incidence angle and azimuth angle. Two empirical models of the PR are fitted, one as a function of incidence angle only, the other with additional dependence on azimuth angle. Assessments show that the σ_VV^0 retrieved from new PR models as well as σ_HH^0 is in good agreement with σ_VV^0 extracted from SAR images directly. And it is also shown that considering the azimuth angle can improve polarization conversion accuracy.

Subject Areas

Gaofen-3; SAR; Wave Mode; calibration constants; cross-pol; noise floor; polarization

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