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首页> 外文期刊>Journal of the American Water Resources Association >SOIL MOISTURE VARIATION PATTERNS OBSERVED IN HAND COUNTY, SOUTH DAKOTA1
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SOIL MOISTURE VARIATION PATTERNS OBSERVED IN HAND COUNTY, SOUTH DAKOTA1

机译:南DAKOTA1汉德县土壤水分变化模式

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ABSTRACT:Sail moisture data were taken during nine sampling events (1976‐1978) at a test site in South Dakota as part of the ground truth used in NASA's aircraft experiments studying the microwave sensing of soil moisture. This portion of the study dealt only with the spatial variability observed with regard to the ground data. Samples were taken over three surface depths at each point, and the data reported as the mean field moisture content within each of three surface horizons. The results shed additional light on the relationship between ground sampling and remote sensing of soil moisture. First, it was found that it is best to partition data of well drained sites from poorly drained areas when attempting to characterize the surface moisture content throughout an area of varying soil and cover conditions. It was also found that the moisture coefficient of variation within a field decreased as the mean field soil moisture increased, and that the standard deviation was at a maximum in the mid‐range of observed moisture conditions (15‐25 percent). Within field sample variation also decreases as the sample is integrated over a greater surface depth. It was determined that a sampling intensity of 10 samples per kilometer was adequate to characterize the mean field soil moisture at all three depths along a transect in the areas of moderate to good drai
机译:摘要: 在南达科他州一个试验场的九次采样事件(1976-1978)中采集了帆水分数据,作为美国宇航局研究土壤水分微波传感的飞机实验中使用的地面事实的一部分。研究的这一部分仅涉及在地面数据方面观察到的空间变异性。在每个点的三个地表深度上采集样本,并将数据报告为三个地表层中每个地层内的平均油田含水量。研究结果进一步揭示了地面采样与土壤水分遥感之间的关系。首先,人们发现,在尝试表征不同土壤和覆盖条件的区域的地表含水量时,最好将排水良好的地点的数据与排水不良的区域分开。研究还发现,田间水分变异系数随着平均田间土壤水分的增加而减小,标准偏差在观测到的水分条件的中间范围(15-25%)处于最大值。在现场内,样品的变化也会随着样品在更大的表面深度上积分而减小。确定每公里10个样品的取样强度足以表征中度至良好地区沿样带所有三个深度的平均田间土壤湿度

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