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ANALYSES ON THE SEA SURFACE WIND FIELD DATA BY SATELLITE REMOTE SESING(SAR)

机译:卫星遥感海面风场数据分析(SAR)

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The microwave of SAR can observe the ocean in spite of severe weather or night time. The sea surface image of SAR has various informations about oceanic phenomena related to surface wind fields. The extracted wind information from SAR can be diversely used. In order to extract sea wind speed from SAR image, a generated wind direction from SAR and sigma nought should be input into wind model. Therefore, wind speed can be obtained by input wind direction into CM0D5 Model. Azimuth angle using CMOD5 Model is generated by added 90°to Look angle which is extracted from SAR data file. A gained wind direction spectrum from SAR image has 180°ambiguity because of 2D-FFT. This ambiguity should decide to use the location of land, wind direction in field or the result of numerical model. Consequently, wind direction using 2D-FFT is 3°~7°differences with actual surveying data. Wind speed by CM0D5 model is similar to actual surveying data as below 2m/s.
机译:尽管天气或夜间严重,但SAR的微波可以观察海洋。 SAR的海面图像有各种有关地表风田的海洋现象的信息。来自SAR的提取的风信息可以多样地使用。为了从SAR图像中提取海风速度,应该输入来自SAR和SIGMA的产生的风向,应输入风模型。因此,可以通过将风向输入到CM0D5模型来获得风速。使用CMOD5模型的方位角通过添加90°来从SAR数据文件中提取的视角生成。由于2D-FFT,来自SAR图像的增强的风向谱具有180°歧义。这种歧义应该决定使用土地,风向的位置或数值模型的结果。因此,使用2D-FFT的风向是3°〜7°差异,与实际测量数据差异。 CM0D5模型的风速类似于实际测量数据,低于2M / s。

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