首页> 外文会议>Asian conference on remote sensing;ACRS 2007 >ANALYSES ON THE SEA SURFACE WIND FIELD DATA BY SATELLITE REMOTE SESING(SAR)
【24h】

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

机译:海面风场数据的卫星遥感分析

获取原文

摘要

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:SAR的微波即使在恶劣的天气或夜间也可以观察到海洋。 SAR的海面图像具有有关与表面风场有关的海洋现象的各种信息。从SAR提取的风信息可以有多种用途。为了从SAR图像中提取海风速度,应该将SAR和零sigma生成的风向输入到风模型中。因此,通过将风向输入到CM0D5模型中可以获得风速。通过向SAR数据文件中提取90°到Look Angle的角度来生成使用CMOD5模型的方位角。由于2D-FFT,从SAR图像获得的风向谱具有180°的模糊度。这种歧义性应决定使用陆地的位置,野外的风向还是数值模型的结果。因此,使用2D-FFT的风向与实际测量数据相差3°〜7°。 CM0D5模型的风速与2m / s以下的实际测量数据相似。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号