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Combined analysis of soil moisture measurements from roving and fixed cosmic ray neutron probes for multiscale real-time monitoring

机译:土壤水分测量的综合分析 来自粗纱和固定宇宙射线中子探测器 用于多尺度实时监控

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摘要

Soil moisture partly controls land-atmosphere mass and energy exchanges and ecohydrological processes in natural and agricultural systems. Thus, many models and remote sensing products continue to improve their spatiotemporal resolution of soil moisture, with some land surface models reaching 1 km resolution. However, the reliability and accuracy of both modeled and remotely sensed soil moisture require comparison with ground measurements at the appropriate spatiotemporal scales. One promising technique is the cosmic ray neutron probe. Here we further assess the suitability of this technique for real-time monitoring across a large area by combining data from three fixed probes and roving surveys over a 12 km× 12km area in eastern Nebraska. Regression analyses indicated linear relationships between the fixed probe averages and roving estimates of soil moisture for each grid cell, allowing us to derive an 8 h product at spatial resolutions of 1, 3, and 12km, with root-mean-square error of 3%, 1.8%, and 0.9%.
机译:土壤水分部分控制着自然和农业系统中的土地-大气质量和能量交换以及生态水文学过程。因此,许多模型和遥感产品继续提高其土壤水分的时空分辨率,有些陆地表面模型达到1 km分辨率。但是,模拟土壤湿度和遥感土壤湿度的可靠性和准确性都需要与适当时空尺度下的地面测量结果进行比较。一种有希望的技术是宇宙射线中子探针。在这里,我们通过结合来自三个固定探测器的数据和内布拉斯加州东部12 km×12 km区域的巡回测量,进一步评估了该技术在大范围实时监视中的适用性。回归分析表明,每个网格单元的固定探针平均值与土壤水分的粗略估计之间存在线性关系,这使我们能够以1、3和12km的空间分辨率得出8小时乘积,均方根误差为3% ,1.8%和0.9%。

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