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Wave and Wind Field Extraction from ERS SAR Imagery

机译:从ERS SAR影像中提取海浪和风场

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摘要

This paper deals with the analysis of SAR imagery of the Mediterranean Sea to estimate the directional wave spectrum and the wind vector. As case study an ERS-2 SAR acquired on 13 November 1997 (orbit 13417, frame 2889) which includes Lampedusa Island in the Sicily Channel was selected. Lampedusa was chosen as test site because of its privileged location in the centre of the Mediterranean and because it hosts a fully equipped meteorological station. Besides, the selected SAR image shows a striking feature from which the wind direction can be reliably estimated. Wave field and wind vector from SAR image were compared with predictions from the WAM wave model and the wind output of the ECMWF atmospheric model, respectively. The retrieval of directional two-dimensional wave spectrum from SAR image was carried out by means of the classical Hasselmann & Hasselmann inversion scheme and the SAR image cross-spectrum methodology, respectively. Assuming the wind direction is known independently, SAR data was then analysed to retrieve the wind speed by using the predictions from empirical backscatter models, such as CMOD4 and CMOD-IFREMER. Wind vector retrieval results were validated against in situ measurements provided by the Lampedusa airport anemometer.
机译:本文分析了地中海的SAR图像,以估计方向波谱和风向。作为案例研究,选择了包括西西里海峡的兰佩杜萨岛在内的ERS-2 SAR,它于1997年11月13日获得(轨道13417,框架2889)。兰佩杜萨(Lampedusa)之所以被选为试验场,是因为它位于地中海中心的优越位置,并且拥有一个设备齐全的气象站。此外,所选的SAR图像还显示了醒目的特征,从中可以可靠地估计风向。将SAR图像的波场和风矢量分别与WAM波浪模型和ECMWF大气模型的风输出预测相比较。分别通过经典的Hasselmann和Hasselmann反演方案和SAR图像交叉谱方法从SAR图像中提取了定向二维波谱。假设风向是独立已知的,然后使用经验反向散射模型(例如CMOD4和CMOD-IFREMER)的预测,分析SAR数据以检索风速。根据兰佩杜萨机场风速计提供的现场测量结果验证了风向矢量的检索结果。

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