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Wave and Wind Field Extraction from ERS SAR Imagery

机译:来自SAR图像的波浪和风场提取

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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:这与地中海的SAR图像的分析纸交易来估算方向波谱和风矢量。作为案例研究的ERS-2 SAR获取于1997年11月13日(轨道13417,帧2889),其包括兰佩杜萨岛在西西里频道被选中。兰佩杜萨被选为试验地点,因为在地中海的中心,因为它承载了设备齐全的气象观测站其地理位置优越的。此外,所选择的SAR图像示出了显着的特征风从哪个方向能够可靠估计。从SAR图像波场和风力矢量与分别从WAM波模型和ECMWF大气模型的风输出,预测进行比较。定向二维波谱的从SAR图像的检索是由分别经典Hasselmann&Hasselmann反转方案和SAR图像交叉谱方法,来进行。假设风向独立地已知的,SAR数据然后分析通过使用从经验反向散射模式,如CMOD4和CMOD-IFREMER的预测来检索风速。风矢量的检索结果进行了验证针对由兰佩杜萨机场风速仪提供现场测量。

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