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Experimental Analysis and Empirical Model of the Complex Permittivity of Five Organic Soils at 1.4 GHz in the Temperature Range From −30 °C to 25 °C

В. Л. МироновRadiophysics of Remote Sensing Laboratory, Kirensky Institute of Physics, Siberian Branch of the Russian Academy of Sciences, Krasnoyarsk, RussiaL. G. KosolapovaRadiophysics of Remote Sensing Laboratory, Kirensky Institute of Physics, Siberian Branch of the Russian Academy of Sciences, Krasnoyarsk, RussiaS.V. FominRadiophysics of Remote Sensing Laboratory, Kirensky Institute of Physics, Siberian Branch of the Russian Academy of Sciences, Krasnoyarsk, RussiaI. V. SavinRadiophysics of Remote Sensing Laboratory, Kirensky Institute of Physics, Siberian Branch of the Russian Academy of Sciences, Krasnoyarsk, Russia
2019en
ABI

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The dielectric measurements were made for five organic soils taken from the tundra territories of Alaska, Yamal, and Taimyr, with the content of organic matter varying from 35% to 80%. The measurements were carried out in the temperature range from -30 °C to 25 °C, frequencies from 0.45 to 16 GHz and soil moisture from close to zero to the field moisture capacity. The refractive mixing model was applied to fit the measurements of the soil's complex refractive index (CRI) as a function of soil moisture, with the values of temperature being fixed. As a result, a respective dielectric model was developed. The amounts of bound and transient water in the thawed and frozen soils were introduced as parameters of the developed model and derived as a function of temperature and content of soil organic matter. The other parameters which concern the CRIs of soil solids as well as bound, transient, and liquid soil water or ice components were derived as a function of temperature. The errors of the proposed model estimated in terms of the values of normalized root-mean-sqaure error for the real and imaginary parts of the soil complex relative permittivity appeared to be 6%-7% and 23%, respectively. The proposed dielectric model can be applied in active and passive remote sensing, in particular, for the SMOS, SMAP, and Aquarius missions after testing in ground-based experiments.

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