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SAR observations and modeling of the C-band backscatter variability due to multiscale geometry and soil moisture

机译:SAR观测和由于多尺度几何结构和土壤湿度导致的C波段反向散射变异性建模

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摘要

The effect of the multiscale surface geometry on the sensitivity of C band synthetic aperture radar (SAR) data to soil moisture is studied. The experimental data consist of C-band SAR images of an agricultural site, including fields with various combinations of three distinct roughness components from small to large scale. The backscatter variability due to surface roughness has been analyzed. The effect of random roughness associated with soil clods is never less than 2 dB, and the effect of a row pattern can be as strong as 10 dB. In addition, the periodic drainage topography induces a backscatter variability due to soil moisture variation and drainage relief. The results indicate that airborne C-band SAR data cannot be easily inverted into soil moisture data. However, with ERS-1 or Radarsat data at an incidence angle of about 20 degrees , the effect of random and periodic roughness can be reduced to about 2 dB if the look angle is less than 50 degrees .
机译:研究了多尺度表面几何形状对C波段合成孔径雷达(SAR)数据对土壤水分的敏感性的影响。实验数据包括一个农业地点的C波段SAR图像,包括从小到大三种不同粗糙度成分的各种组合的田地。已经分析了由于表面粗糙度导致的反向散射变异性。与土壤块相关的随机粗糙度的影响永远不会小于2 dB,并且行模式的影响可能高达10 dB。另外,由于土壤水分的变化和排水的缓解,周期性的排水地形会引起反向散射变化。结果表明,机载C波段SAR数据不易转换为土壤水分数据。但是,对于ERS-1或Radarsat数据,入射角约为20度,如果视角小于50度,则随机和周期性粗糙度的影响可以减小到约2 dB。

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