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首页> 外文期刊>Geoderma: An International Journal of Soil Science >Depth slicing of multi-receiver EMI measurements to enhance the delineation of contrasting subsoil features.
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Depth slicing of multi-receiver EMI measurements to enhance the delineation of contrasting subsoil features.

机译:多接收器EMI测量的深度划分,以增强对地下土壤特征对比的描绘。

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摘要

Mobile multi-receiver electromagnetic induction sensors provide simultaneous readings of the apparent electrical conductivity (ECa) from overlapping soil volumes. Therefore, small contrasting features can be difficult to identify because they have a limited contribution to the bulk measurement, especially if they are present in the subsoil (i.e. beneath the topsoil). Integrating ECa data from simultaneous measurements with multiple coil configurations has the potential to elucidate the variability within the soil profile as it enables modelling the electrical conductivity (EC) for distinct depth intervals. Therefore, it was our objective to develop a methodology to enhance the delineation of contrasting subsoil features, such as in-filled gullies and archaeological features. We selected a 3.5 ha study site where contrasting features were expected. A three-layered build-up was taken as the initial EC-slicing model. After varying the interface depths, the shallowest and deepest EC-depth slice showed a clear minimum of their combined variances at interface depths of 0.36 m, which corresponded to the ploughing depth, and 0.86 m. This implies that the EC-depth slice in-between these depths, contained a demonstrably higher variability. A sub-area of 0.85 ha was completely excavated to a depth of 0.7 m, revealing the subsoil features and the host material. An automated edge detection algorithm showed that the EC-depth slice was superior to any individual ECa measurement for delineating the contrasting subsoil features. Therefore, we concluded that depth slicing by integrating simultaneous ECa signals from a multi-receiver EMI sensor clearly improved the identification of subsoil features.
机译:移动式多接收器电磁感应传感器可从重叠的土壤体积中同时读取表观电导率(ECa)。因此,小的对比特征很难识别,因为它们对体积测量的贡献有限,特别是如果它们存在于地下土壤中(即在表层土壤下方)。将来自同时测量的ECa数据与多个线圈配置进行集成,有可能阐明土壤剖面中的变化性,因为它可以为不同的深度间隔建模电导率(EC)。因此,我们的目标是开发一种方法来增强对不同的地下土壤特征(如填充的沟壑和考古特征)的描绘。我们选择了一个3.5公顷的研究场地,预计会形成鲜明对比。三层结构被用作初始EC切片模型。改变界面深度后,最浅和最深的EC深度切片在0.36 m(对应于耕作深度)和0.86 m的界面深度处显示出它们的组合方差最小。这意味着在这些深度之间的EC深度切片包含明显更高的可变性。完全开挖了一个0.85公顷的子区域,深度为0.7 m,显示出了地下土壤特征和主体材料。自动化的边缘检测算法表明,EC深度切片在描述对比下的土层特征方面优于任何单独的ECa测量。因此,我们得出结论,通过整合来自多接收器EMI传感器的同步ECa信号进行深度切片,明显改善了对地下土壤特征的识别。

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