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Общее количество найденных документов : 86
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1.

Вид документа : Статья из сборника (однотомник)
Шифр издания :
Автор(ы) : Sutormin V. S., Krakhalev M. N., Prishchepa O. O., Zyryanov V. Ya.
Заглавие : Director transformations within nematic droplets dispersed in polyvinylpirrolydon induced by temperature and moisture
Коллективы : IInternational LC Conference
Место публикации : 22nd International LC Conference: Abstracts. - 2008. - Vol. 1. - P.378
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2.

Вид документа : Статья из сборника (однотомник)
Шифр издания :
Автор(ы) : Mironov V. L., Kosolapova L.G., Muzalevskiy K. V.
Заглавие : TDR Calibration for Soil Moisture Measurements Using a Spectroscopic Dielectric Model
Коллективы : Progress In Electromagnetics Research Symposium
Место публикации : Progress in Electromagnetics Research Symposium Proceedings (PIERS 2009). - 2009. - P.311-314
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3.

Вид документа : Статья из сборника (однотомник)
Шифр издания :
Автор(ы) : Lawrence H., Demontoux F., Wigneron J, Mialon A., Duffour C., Kruszewski A., Mironov V., Kosolapova L., Kerr Y.
Заглавие : L-Band Emission of Rough Soil Surface Covered with a Grass Litter Layer In cluding a Moisture Gradient: Comparison Between Experimental Data and a Numerical Modeling Approach
Коллективы : International Symposium Recent Advances in Quantitative Remote Sensing
Место публикации : 3rd International Symposium Recent Advances in Quantitative Remote Sensing. - 2010
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4.

Вид документа : Статья из сборника (однотомник)
Шифр издания :
Автор(ы) : Mironov V. L., Kosolapova L. G., Demontoux F.
Заглавие : Error of Moisture Retrieving from the SMOS Radiobrightness with the Use of the Temperature Dependable Soil Dielectric Model
Коллективы : Progress In Electromagnetics Research Symposium
Серия: PIERS 2011 Suzhou - Progress in Electromagnetics Research Symposium, Proceedings
Место публикации : Proc. PIER. - 2011. - С. 709-711
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5.

Вид документа : Статья из сборника (однотомник)
Шифр издания :
Автор(ы) : Dagurov P., Dmitriev, A.V., Mironov V.L., Chimitdorzhiev T.N.
Заглавие : Soil Moisture Measuring Technique in the Baikal Region for Validation of SMOS Mission
Коллективы : International Siberian Conference on Control and Communications
Место публикации : Int. Sib. Conf. on Control and Communicat.: Proceedings: IEEE-Institute Electrical and Electronics Engineers, 2011. - С. 187-189
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6.

Вид документа : Статья из журнала
Шифр издания :
Автор(ы) : Wigneron J. P., Chanzy A., Kerr Y. H., Lawrence H., Shi J. C., Escorihuela M. J., Mironov V. L., Mialon A., Demontoux F., de Rosnay P., Saleh-Contell K.
Заглавие : Evaluating an improved parameterization of the soil emission in L-MEB
Коллективы : Workshop on Remote Sensing and Modeling of Surface Properties (2nd; Jun 09-11, 2009; Toulouse, France)
Место публикации : IEEE Trans. Geosci. Remote Sensing: IEEE-Institute Electrical and Electronics Engineers, 2011. - Vol. 49, Is. 4. - P.1177-1189. - ISSN 0196-2892, DOI 10.1109/TGRS.2010.2075935
Примечания : Cited References: 26
Предметные рубрики: BAND MICROWAVE EMISSION
SURFACE-ROUGHNESS
1.4 GHZ
MODEL
MOISTURE
LAND
RADIOMETER
FREQUENCY
FIELDS
SPACE
Ключевые слова (''Своб.индексиров.''): microwave remote sensing--radiometry--roughness--soil moisture (sm)--soil moisture and ocean salinity (smos)--soil surface
Аннотация: In the forward model [L-band microwave emission of the biosphere (L-MEB)] used in the Soil Moisture and Ocean Salinity level-2 retrieval algorithm, modeling of the roughness effects is based on a simple semiempirical approach using three main "roughness" model parameters: H-R, Q(R), and N-R. In many studies, the two parameters Q(R) and N-R are set to zero. However, recent results in the literature showed that this is too approximate to accurately simulate the microwave emission of the rough soil surfaces at L-band. To investigate this, a reanalysis of the PORTOS-93 data set was carried out in this paper, considering a large range of roughness conditions. First, the results confirmed that Q(R) could be set to zero. Second, a refinement of the L-MEB soil model, considering values of N-R for both polarizations (namely, N-RV and N-RH), improved the model accuracy. Furthermore, simple calibrations relating the retrieved values of the roughness model parameters H-R and (N-RH - N-RV) to the standard deviation of the surface height were developed. This new calibration of L-MEB provided a good accuracy (better than 5 K) over a large range of soil roughness and moisture conditions of the PORTOS-93 data set. Conversely, the calibrations of the roughness effects based on the Choudhury approach, which is still widely used, provided unrealistic values of surface emissivities for medium or large roughness conditions.
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7.

Вид документа : Статья из сборника (однотомник)
Шифр издания :
Автор(ы) : Demontoux F., Lawrence H., Wigneron J.-P., Mironov V. L., Kosolapova L.G., Paillou P., Kerr Y.
Заглавие : Numerical computation of the L-band emission and scattering of soil layers with consideration of moisture and temperature gradients
Коллективы : IEEE International Geoscience and Remote Sensing Symposium (2012 ; July ; 22-27; Munich, Germany)
Место публикации : IEEE International Geoscience and Remote Sensing Symposium (IGRASS): Proceedings. - Munich, 2012. - P.20-23. - ISBN 978-1-4673-1159-5, DOI 10.1109/IGARSS.2012.6352444
Аннотация: In the context of the Soil Moisture and Ocean Salinity mission, we present a study of the emission of rough surfaces at 1.4 GHz and the effects of moisture and temperature gradients. A new approach for the calculation of rough surface scattering and emission at L-band has been validated for the case of scattering from rough surfaces of Gaussian autocorrelation function. This approach relies on the use of ANSYS's numerical computation software HFSS, which in turn solves Maxwell's equations using the Finite Element Method. The interest of this approach is that it can be extended to calculate the emission and scattering of complicated multilayer media. In this paper we present the work we done to use FEM method to compute thermal effects and water infiltration effects in ground. We firstly present the effects of water infiltration in ground then we present results of computations on soils partially or completely frozen.
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8.

Вид документа : Статья из сборника (однотомник)
Шифр издания :
Автор(ы) : Demontoux F., Mironov V. L., Lawrence H., Kosolapova L.G., Wigneron J.-P., Kerr Y.
Заглавие : Modeling of the L-band emission and scattering of soil layers with consideration of moisture and temperature gradients
Коллективы : Microwave Radiometry and Remote Sensing of the Environment, specialist Meeting on
Место публикации : MicroRad: Proceedings. - Munich, 2012. - С. 1-3. - ISBN 978-1-4673-1470-1, DOI 10.1109/MicroRad.2012.6185240
Аннотация: The studies were designed to ensure correct inclusion of profiles into our model. These promising results will be followed by a validation stage. To do that, we have experimental data sets. We have moisture measurements (with the presence of gradients) and emissivities from the site of SMOSREX (nearly no temperature gradients). On the other hand, we have measurements of high temperature gradients, moisture, emissivity and bi static scattering coefficients from a measurement site in Siberia [8].
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9.

Вид документа : Статья из сборника (однотомник)
Шифр издания :
Автор(ы) : Mironov V. L., Muzalevskiy K. V.
Заглавие : The new algorithm for retrieval of soil moisture and surface roughness from GNSS reflectometry
Коллективы : IEEE International Geoscience and Remote Sensing Symposium (2012 ; July ; 22-27; Munich, Germany)
Место публикации : IEEE International Geoscience and Remote Sensing Symposium (IGRASS): Proceedings. - Munich, 2012. - P.7530-7532. - ISBN 978-1-4673-1159-5, DOI 10.1109/IGARSS.2012.6351889
Аннотация: In this paper we propose a new simple algorithm for data processing of GNSS reflectometry. At first step of data processing of interference patterns the algorithm allows to retrieve the modulus of the reflection coefficient and then retrieve soil moisture and surface roughness of the soil. This method allows to not take into account information about the antenna pattern and height of GNSS antenna, and also excludes the impact of geodesic relief roughness. The proposed methodology was used for the retrieval moisture and surface roughness of soil using data recorded GPS receiver on a vertical polarization.
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10.

Вид документа : Статья из сборника (однотомник)
Шифр издания :
Автор(ы) : Bobrov P. P., Mironov V. L., Yashchenko A. S., Kosolapova L. G.
Заглавие : Comparison of Two Retrieval Soil Moisture Algorithms on SMOS Data
Коллективы : IEEE International Geoscience and Remote Sensing Symposium (2012 ; July ; 22-27; Munich, Germany)
Место публикации : IEEE International Geoscience and Remote Sensing Symposium (IGRASS): Proceedings. - Munich, 2012. - С. 1131-1134. - ISBN 978-1-4673-1159-5, DOI 10.1109/IGARSS.2012.6351349
Аннотация: We made the conclusion about the main deficiencies of the SMOS data Level 1c and Level 2 for the south part of Western Siberia. This was done for the period from 12.07.10 to 10.11.11 by studying SMOS data, periodic ground base measurements of the brightness temperature at 1.4 GHz and ground base measurements of moisture. We developed a simple algorithm for remote retrieval of soil moisture using data of brightness temperature given at SMOS Level 1c, compared the data of soil moisture, given at SMOS Level 2 with data calculated by our algorithm and in situ measurements of moisture.
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