首页> 外文会议>Geoscience and Remote Sensing Symposium, 1999. IGARSS '99 Proceedings. IEEE 1999 International >Determination of surface roughness parameters of tidal flats from SIR-C/X-SAR 3-frequency SAR data
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Determination of surface roughness parameters of tidal flats from SIR-C/X-SAR 3-frequency SAR data

机译:根据SIR-C / X-SAR 3频SAR数据确定滩涂表面粗糙度参数

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A new method for extracting the rms height and correlation length of sand ripples on tidal flats from multi-frequency synthetic aperture radar (SAR) data is presented. The data used in this analysis were acquired by the 3-frequency SAR on board the space shuttle Endeavor during the Spaceborne Imaging Radar-C/X-Band SAR (SIR-C/X-SAR) missions in 1994 over tidal flats in the German Bight of the North Sea that had fallen dry during ebb tide. The normalized radar cross section (NRCS) of tidal flats that are covered with sand ripples is a function of the soil moisture as well as of the surface roughness. Since the water content of the sand on tidal flats is very high, the variation of the NRCS is dominated by variations of the surface roughness. By using the integral equation model (IEM) the authors have inverted the simultaneously acquired X-, C, and L-band radar images into maps of the rms height and the correlation length of tidal flats.
机译:提出了一种从多频合成孔径雷达(SAR)数据中提取潮滩沙纹有效值高度和相关长度的新方法。该分析中使用的数据是1994年在德国的潮汐平面上通过奋进号航天飞机上的3频SAR获得的,该航天器是在1994年德国潮汐成像雷达-C / X-Band SAR(SIR-C / X-SAR)任务中执行的在退潮时已经干dry的北海湾。覆盖有沙子波纹的滩涂的归一化雷达横截面(NRCS)是土壤湿度和表面粗糙度的函数。由于潮滩上沙子的含水量非常高,因此NRCS的变化主要由表面粗糙度的变化决定。通过使用积分方程模型(IEM),作者将同时获取的X,C和L波段雷达图像转换成有效值高度和潮滩相关长度的图。

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