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Modelling the impact of moisture changes in a heterogeneous soil on differential interferometry

机译:模拟非均质土壤中水分变化对差分干涉法的影响

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Changes in soil moisture between the two radar acquisitions can impact the observed coherence 7 in differential interferometry: both correlation |γ| and phase Φ are affected. The influence on the latter potentially biases the estimation of deformations. These effects have been found to be variable in magnitude and dependent on polarization, as opposed to predictions by existing models. Such diversity can be explained when the soil is modelled as a half-space with spatially varying dielectric properties and a rough interface. The first-order perturbative solution achieves — upon calibration with L band data — median correlations ρ at HH of 0.77 for the phase Φ and of 0.50 for |γ|. The depth distribution of the scattering heterogeneities within the soil impacts the sensitvity of the observables to soil moisture changes in a way similar to a changing relative importance of the surface and the volume components, thus leading to similar qualities of fit when the latter is estimated. The first-order expansion does not predict any impact on the HV coherence, which is however empirically found to display similar sensitivities to soil moisture as the co-pol channels. These results indicate that the first-order solution, while not able to reproduce all observed phenomena, can capture some of the more salient patterns of the effect of soil moisture changes on the HH and VV DInSAR signals.
机译:两次雷达采集之间土壤湿度的变化可能会影响差分干涉法中观测到的相干性7:二者相关|γ|和相位Φ都会受到影响。对后者的影响可能会使变形估计产生偏差。与现有模型的预测相反,已发现这些影响的大小可变且取决于极化。当将土壤建模为具有空间变化的介电特性和粗糙界面的半空间时,可以解释这种多样性。一阶摄动解在通过L波段数据进行校准后,在HH时,相位Φ的中值相关性ρ为0.77,|γ|时的中值相关性ρ为0.50。土壤中散射异质性的深度分布以与表面和体积分量相对重要性的变化相似的方式影响可观测物对土壤水分变化的敏感性,因此在估算后者时会产生相似的拟合质量。一阶展开并不会预测对HV相干性有任何影响,但是根据经验发现,它对土壤水分的敏感性与co-pol通道相似。这些结果表明,一阶解虽然不能重现所有观察到的现象,但可以捕获土壤湿度变化对HH和VV DInSAR信号的影响的一些更明显的模式。

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