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High-resolution space-time quantification of soil moisture along a hillslope using joint analysis of ground penetrating radar and frequency domain reflectometry data

机译:结合地面穿透雷达和频域反射计数据的高分辨率高时空定量分析山坡土壤水分

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摘要

We combined ground-penetrating radar (GPR) and frequency domain reflectometry (FDR) to assess the space-time variability of soil moisture along a hillslope. Time-lapse GPR and FDR measurements were conducted weekly during the period 23/03-08/06/2011 along a cultivated hillslope in the Belgian loam belt. A full-wave GPR model, a soil dielectric mixing model and the Debye equation were combined to directly estimate soil moisture from GPR measurements. Measured GPR data were well reproduced by the full-wave GPR model, resulting in a relatively good agreement between the GPR and FDR-derived soil moisture. Subsequently, we merged the soil moisture obtained from both techniques in a data fusion framework and we investigated its spatial and temporal variability. The results indicate that there was a high correlation between the spatial variability of soil moisture and topography as well as between its temporal variability and rainfall. A temporal stability analysis showed that soil moisture at the footslope is higher and more stable than that at the summits and backslopes. The proposed approach appears to be promising for assessing soil moisture at the hillslope scale with a relatively high space-time resolution. (C)) 2015 Elsevier B.V. All rights reserved.
机译:我们结合了探地雷达(GPR)和频域反射法(FDR)来评估沿山坡土壤水分的时空变化。在2011年3月3日至6月8日期间,每周进行一次定期GPR和FDR测量,该测量沿比利时壤土带中耕种的山坡进行。结合了全波GPR模型,土壤电介质混合模型和Debye方程,可以根据GPR测量结果直接估算土壤湿度。通过全波GPR模型可以很好地复制测得的GPR数据,从而使GPR和FDR衍生的土壤水分之间具有相对较好的一致性。随后,我们在数据融合框架中合并了从两种技术获得的土壤水分,并研究了其时空变异性。结果表明,土壤水分和地形的空间变异性及其时间变异性和降雨之间存在高度相关性。时间稳定性分析表明,山坡上的土壤水分比山顶和后坡的土壤水分更高,更稳定。所提出的方法对于以相对较高的时空分辨率评估山坡规模的土壤水分似乎很有希望。 (C))2015 Elsevier B.V.保留所有权利。

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