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GLOBAL WIND MEASUREMENTS USING COMPLEX ERS-2 WAVE MODE DATA

机译:使用复杂的ERS-2波模式数据的全局风测量

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A global set of single look complex (SLC) synthetic aperture radar (SAR) images is processed, nsing the B-SAR processor developed at Deutsches Zentrnm fr Luft und Raumfahrt (DLR), from wave mode raw data, which where acquired by the European remote sensing satellite ERS-2. These so called SAR imagettes are used to analyze recently developed algorithms for wind and wave measurements in respect of future ENVISAT ASAR data. Different aspects of complex SAR wave mode processing are discussed and global statistics of processing parameters are presented. The complex SAR imagettes give the opportunity to apply multilook techniques in range as well as in azimuth. Such methods are used to reduce speckle or to analyze the time evolution of the ocean surface cross section during SAR integration time. A global analysis of new algorithms for wind measurements taking advantage of SLC SAR data is given. The azimuthal cross correlation algorithm is applied to estimate wind speed from the azimnthal smearing effects caused by the movement of scatterers on the ocean surface. As a modification of the existing method, range multilooking is performed to preserve the resolution in azimuth and to deal with the bias due to speckle. The results are compared to simultaneous collocated wind speed measurements from the ERS-2 scat-terometer (SCAT). Using imagettes instead of image power spectra allows to study ocean surface features caused by natural slicks, sea ice, or atmospheric processes. The impact of these phenomena on SCAT measurements is discussed. Furthermore the mean radar cross sections of the imagettes are compared to SCAT measurements taking wind direction into account. Wind dependence of Cross spectral products is investigated.
机译:加工全局单眼复杂(SLC)合成孔径雷达(SAR)图像,NSING在Deutsches Zentrnm fr Luft(DLR)中开发的B-SAR处理器,来自Wave Mode Raw Raw数据,其中由欧洲获得遥感卫星ERS-2。这些所谓的SAR IMAGETES用于分析最近为未来的EVENISAT ASAR数据的风和波测量的开发算法。讨论了复杂SAR波模式处理的不同方面,并呈现了处理参数的全局统计。复杂的SAR Imagettes赋予了在范围内和方位角的多卷技术应用的机会。这些方法用于减少斑点或分析SAR集成时间期间海面横截面的时间演变。给出了利用SLC SAR数据的风测量新算法的全局分析。方位角互相关算法应用于从海洋表面上的散射体的运动引起的西腹涂抹效果来估计风速。作为现有方法的修改,执行范围多孔以保留方位角的分辨率并处理由于斑点引起的偏差。将结果与来自ERS-2 Scat-Terometer(SCAT)的同时配套风速测量进行比较。使用Imagettes而不是图像功率谱允许研究由天然光滑,海冰或大气过程引起的海洋表面特征。讨论了这些现象对SCAT测量的影响。此外,将图像的平均雷达横截面与SCAT测量相比,考虑到风向。研究了交叉光谱产品的风依赖性。

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