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Extraction of surface currents of solitary internal waves from synthetic aperture radar data

机译:从合成孔径雷达数据提取孤立内波的表面电流

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Interaction between surface waves and horizontally varying surface currents produce variations in sea surface roughness which can be observed by a synthetic aperture radar (SAR). An inversion model is developed to extract surface currents from SAR images. This data inversion is based on iterative fitting of observed SAR data to forward models of wave-current interaction, radar scattering, and SAR imaging. The inversion model is applied to SAR measurements of solitary internal waves in the New YorkBight during the SAR Internal Wave Signature Experiment (SARSEX) (Gasparovic et al., 1988) The surface currents of internal waves thus extracted are compared with in-situ measurements.A space-borne SAR can provide all-weather, day-night imagery of the ocean with a swath of -50 km and a spatial resolution of <20 m. The ability to extract accurate surface currents from SAR images provides a cost-effective means for obtaining surfacecurrent measurements over a wide area. This technique is especially useful when areas are imaged frequently by the sensor, such as about once a day for NASA's Lightweight SAR (LightSAR) currently in the planning stage.
机译:表面波和水平变化的表面电流之间的相互作用产生了可以通过合成孔径雷达(SAR)观察到的海表面粗糙度的变化。开发了反演模型以从SAR图像中提取表面电流。该数据反转基于观察到的SAR数据的迭代拟合,以转发波浪电流相互作用,雷达散射和SAR成像的模型。在SAR内部波签名实验(SARSEX)(Gasparovic等,1988)中,将反转模型应用于纽约纽约州的唯一内部波的SAR测量值(Gasparovic等,1988),由此提取的内部波的表面电流与原位测量相比。一个空间传播的SAR可以提供全天候的海洋的日夜图像,带有-50 km的条纹,空间分辨率<20米。从SAR图像中提取精确的表面电流的能力提供了用于在广域的宽面积上获得表面慢速测量的成本有效的方法。当传感器经常成像时,这种技术特别有用,例如在规划阶段中的NASA的轻量级SAR(Lightsar)的大约一次每天。

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