Abstract
Using ESTAR (Electronically Scanned Thinned Array Radiometer) passive microwave remotely sensed soil moisture data from the Washita 92 experiment, we examine the appropriateness of several probability density functions as a candidate for soil moisture distribution. Although the normal distribution is found to approximate the data well, it is shown that such a distribution cannot capture the inherent spatial structure of soil moisture. We confirm the recent finding that the variance of soil moisture images follows a power law decay and show that such a scaling is valid over a wider range of scales than previously reported. We also relate the scaling exponent of the variance to highly correlated cluster structure: in soil moisture images. Our analysis of scaling for higher-order moments suggests that soil moisture images may not be simple scaling.
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