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Temporal Stability of Soil Moisture and Radar Backscatter Observed by the Advanced Synthetic Aperture Radar (ASAR)

机译:先进合成孔径雷达(ASAR)观测的土壤水分和雷达反向散射的时间稳定性

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摘要

The high spatio-temporal variability of soil moisture is the result of atmospheric forcing and redistribution processes related to terrain, soil, and vegetation characteristics. Despite this high variability, many field studies have shown that in the temporal domain soil moisture measured at specific locations is correlated to the mean soil moisture content over an area. Since the measurements taken by Synthetic Aperture Radar (SAR) instruments are very sensitive to soil moisture it is hypothesized that the temporally stable soil moisture patterns are reflected in the radar backscatter measurements. To verify this hypothesis 73 Wide Swath (WS) images have been acquired by the ENVISAT Advanced Synthetic Aperture Radar (ASAR) over the REMEDHUS soil moisture network located in the Duero basin, Spain. It is found that a time-invariant linear relationship is well suited for relating local scale (pixel) and regional scale (50 km) backscatter. The observed linear model coefficients can be estimated by considering the scattering properties of the terrain and vegetation and the soil moisture scaling properties. For both linear model coefficients, the relative error between observed and modelled values is less than 5 % and the coefficient of determination (R2) is 86 %. The results are of relevance for interpreting and downscaling coarse resolution soil moisture data retrieved from active (METOP ASCAT) and passive (SMOS, AMSR-E) instruments.
机译:土壤水分的高时空变化是大气强迫和与地形,土壤和植被特征有关的再分配过程的结果。尽管存在如此高的可变性,但许多现场研究表明,在时域内,在特定位置测得的土壤水分与某个地区的平均土壤水分含量相关。由于合成孔径雷达(SAR)仪器进行的测量对土壤湿度非常敏感,因此可以假设在雷达的反向散射测量中会反映出时间上稳定的土壤湿度模式。为了验证该假设,ENVISAT高级合成孔径雷达(ASAR)在西班牙杜罗盆地的REMEDHUS土壤湿度网络上获得了73幅宽幅(WS)图像。发现时不变线性关系非常适合于关联局部尺度(像素)和区域尺度(50 km)的反向散射。可以通过考虑地形和植被的散射特性以及土壤水分结垢特性来估计观测到的线性模型系数。对于两个线性模型系数,观测值和模型值之间的相对误差均小于5%,确定系数(R 2 )为86%。这些结果对于解释和缩小从有源(METOP ASCAT)和无源(SMOS,AMSR-E)仪器中检索到的粗分辨率土壤水分数据具有相关性。

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