环境科学
遥感
含水量
基本事实
中子探针
大气(单位)
水分
土壤科学
中子
气象学
大气科学
地质学
中子温度
物理
计算机科学
机器学习
中子截面
量子力学
岩土工程
作者
Trenton E. Franz,Tiejun Wang,W. A. Avery,Catherine Finkenbiner,Luca Brocca
摘要
Abstract 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 × 12 km 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 12 km, with root‐mean‐square error of 3%, 1.8%, and 0.9%.
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