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首页> 外文期刊>Remote Sensing >Soil Surface Sealing Effect on Soil Moisture at a Semiarid Hillslope: Implications for Remote Sensing Estimation
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Soil Surface Sealing Effect on Soil Moisture at a Semiarid Hillslope: Implications for Remote Sensing Estimation

机译:半干旱山坡土壤表面封闭对土壤水分的影响:遥感估算的意义

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Robust estimation of soil moisture using microwave remote sensing depends on extensive ground sampling for calibration and validation of the data. Soil surface sealing is a frequent phenomenon in dry environments. It modulates soil moisture close to the soil surface and, thus, has the potential to affect the retrieval of soil moisture from microwave remote sensing and the validation of these data based on ground observations. We addressed this issue using a physically-based modeling approach that accounts explicitly for surface sealing at the hillslope scale. Simulated mean soil moisture at the respective layers corresponding to both the ground validation probe and the radar beam’s typical effective penetration depth were considered. A cyclic pattern was found in which, as compared to an unsealed profile, the seal layer intensifies the bias in validation during rainfall events and substantially reduces it during subsequent drying periods. The analysis of this cyclic pattern showed that, accounting for soil moisture dynamics at the soil surface, the optimal time for soil sampling following a rainfall event is a few hours in the case of an unsealed system and a few days in the case of a sealed one. Surface sealing was found to increase the temporal stability of soil moisture. In both sealed and unsealed systems, the greatest temporal stability was observed at positions with moderate slope inclination. Soil porosity was the best predictor of soil moisture temporal stability, indicating that prior knowledge regarding the soil texture distribution is crucial for the application of remote sensing validation schemes.
机译:使用微波遥感对土壤水分的可靠估计取决于对数据进行校准和验证的大量地面采样。在干燥环境中,土壤表面密封是常见的现象。它调节土壤表层附近的土壤水分,因此有可能影响从微波遥感获取土壤水分以及根据地面观测对这些数据进行验证。我们使用基于物理的建模方法解决了这个问题,该方法明确考虑了山坡规模的表面密封。考虑了对应于地面验证探头和雷达波束的典型有效穿透深度的各层的模拟平均土壤湿度。发现一种循环模式,其中与未密封的轮廓相比,密封层在降雨事件期间增强了验证偏差,并在随后的干燥期间大大降低了验证偏差。对这种循环模式的分析表明,考虑到土壤表面的土壤水分动态,降雨事件后土壤采样的最佳时间在未密封的情况下为几个小时,在密封的情况下为几天。一。发现表面密封可以增加土壤水分的时间稳定性。在密封和未密封的系统中,在中等倾斜度的位置上观察到最大的时间稳定性。土壤孔隙度是土壤水分时间稳定性的最佳预测指标,这表明有关土壤质地分布的先验知识对于遥感验证方案的应用至关重要。

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