Publications des scientifiques de l'IRD

Mironov V. L., Kerr Yann, Kosolapova L. G., Savin I. V., Muzalevskiy K. V. (2015). A temperature-dependent dielectric model for thawed and frozen organic soil at 1.4 GHz. Ieee Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 8 (9), p. 4470-4477. ISSN 1939-1404.

Titre du document
A temperature-dependent dielectric model for thawed and frozen organic soil at 1.4 GHz
Année de publication
2015
Type de document
Article référencé dans le Web of Science WOS:000367323300023
Auteurs
Mironov V. L., Kerr Yann, Kosolapova L. G., Savin I. V., Muzalevskiy K. V.
Source
Ieee Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2015, 8 (9), p. 4470-4477 ISSN 1939-1404
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 cm(3)/cm(3), dry soil density from 0.564 to 0.666 g/cm(3), and temperature from 25 degrees C to -30 degrees 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 (R-2) and the root-mean-square error (RMSE) were estimated to be R-2 = 0.999, RMSE = 0.27 and R-2 = 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.
Plan de classement
Sciences fondamentales / Techniques d'analyse et de recherche [020] ; Pédologie [068] ; Télédétection [126]
Identifiant IRD
PAR00014090
Contact