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    A temperature-dependent dielectric model for thawed and frozen organic soil at 1.4 GHz / V. L. Mironov [et al.] // IEEE J. Sel. Top. Appl. Earth Observ. Remote Sens. - 2015. - Vol. 8, Is. 9. - P. 4470-4477, DOI 10.1109/JSTARS.2015.2442295. - Cited References:19. - This work was supported in part by a grant from the Russian Science Foundation under Project 14-17-00656 . - ISSN 1939-1404. - ISSN 2151-1535
   Перевод заглавия: Температурно-зависимая диэлектрическая модель талой и мерзлой органической почвы на частоте 1,4 ГГц
РУБ Engineering, Electrical & Electronic + Geography, Physical + Remote
Рубрики:
moisture retrieval algorithm
   active layer

   validation

Кл.слова (ненормированные):
Dielectric constant -- dielectric losses -- dielectric measurement -- L-band -- modeling -- soil moisture -- soil properties
Аннотация: A single-frequency dielectric model for thawed and frozen Arctic organic-rich (80%-90% organic matter) soil was developed. The model is based on soil dielectric data that were measured over the ranges of volumetric moisture from 0.007 to 0.573 cm3/cm3, dry soil density from 0.564 to 0.666 g/cm3, and temperature from 25°C to -30°C (cooling run), at the frequency of 1.4 GHz. 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. Using the results of this fitting, the parameters of the refractive mixing model were derived as a function of temperature. These parameters involve the CRIs of soil solids as well as bound, transient, and free soil water components. The error of the dielectric model was evaluated by correlating the predicted complex relative permittivity (CRP) values of the soil samples with the measured ones. The coefficient of determination (R2) and the root-mean-square error (RMSE) were estimated to be R2 = 0.999, RMSE = 0.27 and R2 = 0.993, RMSE = 0.18 for the real and imaginary parts of the CRP, respectively. These values are in the order of the dielectric measurement error itself. The proposed dielectric model can be applied in active and passive remote-sensing techniques used in the areas with organicrich soil covers, mainly for the SMOS, SMAP, and Aquarius missions.

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Держатели документа:
LV Kirenskii Inst Phys, Krasnoyarsk 660036, Russia.
Natl Ctr Sci Res, Lab CESBIO UMR, F-31404 Toulouse 9, France.

Доп.точки доступа:
Mironov, V. L.; Миронов, Валерий Леонидович; Kerr, Y. H.; Kosolapova, L. G.; Косолапова, Людмила Георгиевна; Savin, I. V.; Савин, Игорь Викторович; Muzalevskiy, K. V.; Музалевский, Константин Викторович; Russian Science Foundation [14-17-00656]
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