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Estimating surface electromagnetic properties and corresponding effects on radio frequency signatures

Estimates of surface terrain electromagnetic properties can be utilized by Computational Electromagnetic Modeling (CEM) software to predict radio signal propagation loss between a transmitter and receiver. This paper will examine the variability of the dielectric properties of surface soils as a function of composition, moisture content, and frequency using a semi-empirical model from literature. Using the CEM software the signal path loss will be calculated and the effects of the variability in the dielectric constant of soil examined. High resolution remote sensing imagery will be considered as a data source for soil composition and moisture content information. This topic has implications on using modeling and simulation to understand and predict the performance of RF ground sensors and systems.