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Ruzicka, Z.
Database approach to develop and validate the Soil Moisture and temperature retrieval algorithm using SMOS radiometric data / Z. Ruzicka, K. V. Muzalevskiy // Int. Sib. Conf. on Control and Communicat. (SIBCON 2015) : Proceedings : IEEE-Institute Electrical and Electronics Engineers, 2015, DOI 10.1109/SIBCON.2015.7146965 . - ISBN 9781479971022 (ISBN)
Кл.слова (ненормированные):
Arctic tundra -- Database management system -- SMOS -- Soil moisture -- Soil temperature -- Algorithms -- Data handling -- Database systems -- Information systems -- Management information systems -- MATLAB -- Moisture -- Numerical methods -- Radiometry -- Soil moisture -- Soil surveys -- Soils -- Temperature -- Arctic tundra -- Automated processing -- North Slope of Alaska -- Retrieval algorithms -- SMOS -- Soil Moisture and Ocean Salinity (SMOS) -- Soil temperature -- Temperature retrieval -- Search engines
Аннотация: This paper describes the information system, which has been developed for the storing and automated processing of the Soil Moisture and Ocean Salinity (SMOS) Level 1C radiometric and Level 2 soil moisture data over space and time. The information system contains the database for storing the data and the interface for automated processing. That interface has been developed to provide access to these specific data from the database within the Matlab numerical computing environment used for the realization of algorithms and methods. The developed information system helps to speed up the processing of SMOS data in regional scale over a long period of time, and has successfully been used for the validation of soil temperature and moisture retrieval algorithms over the North Slope of Alaska and Yamal peninsula. © 2015 IEEE.

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Доп.точки доступа:
Muzalevskiy, K. V.; Музалевский, Константин Викторович; Ружичка, Зденек; International Siberian Conference on Control and Communications(11 ; 2015 ; May 21-23 ; Omsk)
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    Evaluating an improved parameterization of the soil emission in L-MEB / J. P. Wigneron [et al.] // IEEE Trans. Geosci. Remote Sensing. - 2011. - Vol. 49, Is. 4. - P. 1177-1189, DOI 10.1109/TGRS.2010.2075935. - Cited References: 26 . - ISSN 0196-2892
Рубрики:
BAND MICROWAVE EMISSION
   SURFACE-ROUGHNESS
   1.4 GHZ
   MODEL
   MOISTURE
   LAND
   RADIOMETER
   FREQUENCY
   FIELDS
   SPACE
Кл.слова (ненормированные):
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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Correction Evaluating an improved parameterization of the soil emission in L-MEB [Текст] : Correction (2011, Vol. 49, P. 1177) / J. P. Wigneron [et al.] // IEEE Trans. Geosci. Remote Sensing : IEEE-Institute Electrical and Electronics Engineers, 2013. - Vol. 51 Is. 5.- P.3200-3200

Доп.точки доступа:
Wigneron, J. P.; Chanzy, A.; Kerr, Y. H.; Lawrence, H.; Shi, J. C.; Escorihuela, M. J.; Mironov, V. L.; Миронов, Валерий Леонидович; Mialon, A.; Demontoux, F.; de Rosnay, P.; Saleh-Contell, K.; Workshop on Remote Sensing and Modeling of Surface Properties (2nd ; Jun 09-11, 2009 ; Toulouse, France)
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Improved parameterisation of the soil emission in L-MEB / J. -P. Wigneron, A. Chanzy [et al.] // MicroRad : March 11-14, 2008, Firenze, Italy : proceedings. - 2008. - С. 123-128

Доп.точки доступа:
Wigneron, J. -P.; Chanzy, A.; Kerr, Y. H.; Shi, J. -C.; Mironov, V. L.; Миронов, Валерий Леонидович; de, Rosnay; Escorihuela, M. -J.; Cano, A.; Demontoux, F.; Grant, J.; Lawrence, H.; Mialon, A.; Saleh, H.; Microwave Radiometry and Remote Sensing of the Environment, specialist Meeting on(10 ; 2010 ; март ; Firenze, Italy)
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L-Band Emission of Rough Surfaces: Comparison between Ex perimental Data and Different Modeling Approaches / Lawrence, H.Demontoux, F. [et al.] // 11th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment, MicroRad 2010 : Proceedings. - 2010. - P27–32

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Держатели документа:
Лаборатория радиофизики дистанционного зондирования Института физики им. Л.В. Киренского СО РАН

Доп.точки доступа:
Lawrence, H.; Demontoux, F.; Wigneron, J.-P.; Mialon, A.; Tzong-Dar, Wu.; Mironov, V. L.; Миронов, Валерий Леонидович; Liang, Chen; Jianchen, Shi; Kerr, Y; Microwave Radiometry and Remote Sensing of the Environment, specialist Meeting on(11 ; 2011 ; март ; 5-9 ; Rome)
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Modeling of the L-band emission and scattering of soil layers with consideration of moisture and temperature gradients / F. Demontoux [и др.] // MicroRad : Proceedings. - Munich, 2012. - P1-3, DOI 10.1109/MicroRad.2012.6185240 . - ISBN 978-1-4673-1470-1
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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Доп.точки доступа:
Demontoux, F.; Mironov, V. L.; Миронов, Валерий Леонидович; Lawrence, H.; Kosolapova, L.G.; Косолапова, Людмила Георгиевна; Wigneron, J.-P.; Kerr, Y.; Microwave Radiometry and Remote Sensing of the Environment, specialist Meeting on(12 ; 2012 ; март ; 5-9 ; Rome)
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Muzalevskiy, K. V.
Numerical-analytical model of reflection coefficient for rough soil surface in wide frequency range / K. Muzalevskiy // Proceedings - 2022 IEEE 8th All-Russian Microwave Conference, RMC 2022. - 2022. - 8th IEEE All-Russian Microwave Conference, RMC 2022 (23 - 25 November 2023, Moscow, Russian Federation) Conference code: 187597. - P. 305-308, DOI 10.1109/RMC55984.2022.10079255. - Cited References: 18. - The investigation supported by the Russian Science Foundation and the Krasnoyarsk Regional Science Foundation, project №22-17-20042
Кл.слова (ненормированные):
remote sensing -- radiolocation -- radiometry -- reflectometry -- reflection coefficient -- rough surface -- soils -- complex permittivity of soils -- soil moisture
Аннотация: In this work, a numerical-analytical model of reflection coefficient for rough soil surface in wide frequency band was proposed. The field of reflected wave from the rough soil surface is presented as the sum of secondary fields from an infinite set of elementary horizontal scattering plates (with a given average size). The field from each elementary scattering plate is represented as an average field from the result of stochastic interference of an infinite set of coherent elementary sources of secondary waves. The vertical position of the elementary sources is determined by the stochastic height of the soil surface within elementary plate. The case of the coherent component and the total value (coherent+diffuse components) of reflection coefficient is considered. On the basis of the created model of reflection coefficient, a broadband method for simultaneously retrieved the root-mean-square deviation of the stochastic soil surface heights and volumetric soil moisture was developed. The results have a wide application value both for single-frequency and multi-frequency radar and radiometric methods of soil moisture measuring.

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Держатели документа:
Kirensky Institute of Physics Federal Research, Center Ksc Siberian Branch Russian Academy of Science, Laboratory of Radiophysics of the Earth Remote Sensing, Krasnoyarsk, Russian Federation

Доп.точки доступа:
Музалевский, Константин Викторович; IEEE All-Russian Microwave Conference(8 ; 23 - 25 November 2023 ; Moscow, Russian Federation)
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On the use of dual-polarized multi-angular observations of P-band brightness temperature for soil moisture profile retrieval in thawed mineral soil / K. V. Muzalevskiy, J. P. Walke, F. Brakhasi [et al.] // Int. J. Remote Sens. - 2024. - Vol. 45, Is. 5. - P. 1498-1521, DOI 10.1080/01431161.2024.2313993. - Cited References: 37. - The work was supported by the State assignment of Kirensky Institute of Physics [FWES-2021-0034]; Australian Research Council funding [DP170102373 and LE150100047]. The work was carried out within the state assignment of Kirensky Institute of Physics and the Australian Research Council funding (DP170102373 and LE150100047) that was used to collect the P-band data . - ISSN 0143-1161. - ISSN 1366-5901
Кл.слова (ненормированные):
Microwave remote sensing -- radiometry -- P-band -- Burke mode -- moisture and temperature retrieval depth -- soil moisture profile
Аннотация: This article investigated the possibility of remotely sensing the soil moisture profile in thawed soil from multi-angular dual-polarized brightness temperature (TB) observations at P-band frequencies of 750 MHz and 409 MHz using a modified Burke model. Moreover, it was found that an excellent agreement (coefficient of determination R2 = 0.999 and root-mean-square error (RMSE) no more than RMSE = 0.6 K) could be achieved between the Njoku coherent brightness temperature model and the modified Burke model by introducing a reflectivity from the air-soil interface that takes into account the phases of the multiple re-reflected waves in the underlying layers. Based on the modified Burke model, the depths from which apparent moisture and temperature could be retrieved in a dielectrically-inhomogeneous, non-isothermal soil were investigated, being approximately ten times less than the depth for which apparent soil temperature could be retrieved. In general, the thickness of the emitting layer depends on the TB look angle and polarization, along with the moisture and temperature profiles of the soil. It was also shown that due to the effect of the Brewster angle, the H-polarization of TB was twice as sensitive (4 K/1%) to changes in volumetric soil moisture than V-polarization (1.9 K/1%). Based on multi-angular (10°-50°) observations of TB at H- and V-polarizations, a method of moisture profile retrieval in the top 5–15 cm soil (depending on surface moisture) was proposed using an exponential fitting function, the parameters of which are found in the course of solving the inverse problem. A decrease in the sensing frequency from 750 MHz to 409 MHz makes it possible to increase the accuracy of soil moisture profiles retrieval by a factor of two, being from RMSE = 1.6% (R2 = 0.946) to RMSE = 0.85% (R2 = 0.982) in the top 15 cm layer of soil. The conducted investigation shows the promise of using P-band observations of TB for soil moisture profile retrieval.

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Держатели документа:
Laboratory of Radiophysics of the Earth Remote Sensing, Kirensky Institute of Physics Federal Research Center KSC Siberian Branch Russian Academy of Sciences, Krasnoyarsk, Russia
Department of Civil Engineering, Monash University, Clayton, Australia
Yangtze Institute for Conservation and Development, Hohai University, Nanjing, China

Доп.точки доступа:
Muzalevskiy, K. V.; Музалевский, Константин Викторович; Walke, J. P.; Brakhasi, F.; Ye, N.; Wu, X.; Shen, X.
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Mironov, V. L.
Retrieving profile temperatures in a frozen topsoil near the TFS, Alaska, based on SMOS brightness temperatures at the 1.4-GHz frequency / V. L. Mironov, K. V. Muzalevskiy, Z. Ruzicka // IEEE Trans. Geosci. Remote Sensing. - 2016. - Vol. 54, Is. 12. - P. 7331-7338, DOI 10.1109/TGRS.2016.2599272. - Cited References:25. - This work was supported by the Russian Science Foundation through Project 4-17-00656. . - ISSN 0196-2892. - ISSN 1558-0644

РУБ Geochemistry & Geophysics + Engineering, Electrical & Electronic + Remote Sensing + Imaging Science & Photographic Technology
Рубрики:
DIELECTRIC MODEL
   ARCTIC SOIL
   SURFACE
   BOREAL
   TUNDRA
   GHZ
Кл.слова (ненормированные):
Microwave radiometry -- remote sensing -- soil measurements -- temperature -- measurement
Аннотация: In this paper, the method previously proposed in earlier work for measuring the temperature profile in a frozen topsoil using multiangular brightness temperature observations in the L-band has been experimentally tested. At a frequency of 1.4 GHz, full-polarization multiangular brightness temperature data were obtained from the Soil Moisture and Ocean Salinity (SMOS) satellite land product of Level 1C, with the SMOS footprint being centered at the Toolik Field Station (TFS), Alaska. The SMOS data covered the period from January 1, 2010 to December 31, 2011. Retrieval of the temperature profiles in a frozen topsoil was based on the semiempirical emission model L-MEB and the temperature-dependent dielectric model for an organic-rich tundra soil. The soil samples measured to develop the dielectric model were collected at the TFS site. For winter seasons, the retrieved temperature profiles in the 16.0-cm topsoil were validated relative to the temperature profiles measured in situ. As a result, the values of root-mean-square error and determination coefficient of the temperatures retrieved at the depths of 0.6, 8.7, and 16.0 cm, relative to the respective temperatures measured in situ, were found to be 2.8 °C, 4.9 °C, and 6.4 °C and 0.62, 0.42, and 0.26, respectively. The sources of error and possible improvements of the proposed retrieving algorithm were discussed. The major result of this study is the demonstration of the potential possibility for remote sensing of the temperature profile in a frozen arctic topsoil using the SMOS multiangular brightness data.

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Держатели документа:
Kirensky Inst Phys, Krasnoyarsk 660036, Russia.
Siberian State Aerosp Univ, Krasnoyarsk 660037, Russia.

Доп.точки доступа:
Muzalevskiy, K. V.; Музалевский, Константин Викторович; Ruzicka, Z.; Ружичка, Зденек; Миронов, Валерий Леонидович; Russian Science Foundation [4-17-00656]
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    Retrieving Soil Moisture and temperature using SMOS observations at a test site in the Yamal Peninsular / K. V. Muzalevskiy [et al.] // IEEE J. Sel. Top. Appl. Earth Observ. Remote Sens. : Proc. - 2016. - P. 4932 - 4935, DOI 10.1109/IGARSS.2016.7730287. - The study was performed thanks to a grant from the Russian Science Foundation (project No 14-17-00656). . - ISSN 978-1-509. - ISSN 2153-7003
   Перевод заглавия: Восстановление влажности и температуры почвы используя наблюдения SMOS на тестовом участке п-ова Ямал
Кл.слова (ненормированные):
permittivity model -- SMOS -- microwave radiometry -- Arctic tundra -- soil moisture -- soil temperature
Аннотация: In this paper, the results of radiothermal remote sensing of soil moisture and temperature is presented for a test site located in Arctic tundra on the Yamal Peninsula, the Russia Federation using full-polarimetry multi-angular brightness temperature (BT) observations at the frequency of 1.4 GHz. The BT data were obtained from the Soil Moisture and Ocean Salinity (SMOS) satellite with the SMOS footprint near the polar weather station Marresale, Yamal Peninsular, the Russia Federation. The SMOS data covered the period of on the ground observations conducted in August, 2015. The method to retrieve soil moisture and temperature is based on solving an inverse problem by minimizing the norm of the residuals between the observed and predicted values of BTs. The calculation of BT was performed using semi-empirical model of radiothermal emission and temperature-dependent dielectric model for an organic-rich tundra soil. The obtained results revealed the applicability of the SMOS data for simultaneous retrieving the soil moisture and temperature for the Arctic tundra environment.

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Доп.точки доступа:
Muzalevskiy, K. V.; Музалевский, Константин Викторович; Mikhaylov, M. I.; Михайлов, Михаил Иванович; Mironov, V. L.; Миронов, Валерий Леонидович; Ruzicka, Z.; Ружичка, Зденек; IEEE International Geoscience and Remote Sensing Symposium(2016 ; July ; 10-15 ; Beijing, China)
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10.

Muzalevskiy, K. V.
Retrieving soil temperature at a test site on the yamal peninsula based on the SMOS brightness temperature observations / K. V. Muzalevskiy, Z. Ruzicka // IEEE J. Sel. Top. Appl. Earth Observ. Remote Sens. - 2016. - Vol. 9, Is. 6. - P. 2468-2477, DOI 10.1109/JSTARS.2016.2553220. - Cited References:36 . - ISSN 1939-1404. - ISSN 2151-1535

РУБ Engineering, Electrical & Electronic + Geography, Physical + Remote
Рубрики:
MICROWAVE DIELECTRIC MODEL
LAND-SURFACE TEMPERATURES
ARCTIC SOIL
Кл.слова (ненормированные):
Arctic regions -- microwave radiometry -- moisture measurement -- soil -- measurements -- temperature measurement
Аннотация: In this paper, the results of radiothermal remote sensing of soil temperature at a test site on the Yamal Peninsula using full-polarimetry multiangular brightness temperature (BT) observations at the frequency of 1.4 GHz are presented. The BT data were obtained from the Soil Moisture and Ocean Salinity (SMOS) satellite with the SMOS footprint near the Polar Weather Station Marresale, the Russia Federation. The SMOS data covered the period from January 1, 2013 to December 31, 2013. The method to retrieve the soil temperature was based on solving an inverse problem by minimizing the norm of the residuals between the observed and predicted values of the BTs. The calculation of the BT was performed using a semiempirical model of radiothermal emission, which incorporated an attenuation of the microwaves in the snow pack or the canopy and a temperature-dependent multirelaxation spectral dielectric model (TD MRSDM) for an organic-rich tundra soil. The TD MRSDM was specifically designed based on laboratory measurements of the complex permittivity of the organic-rich soil samples, which were collected at the test site on the Yamal Peninsula. As a result, the values of the root-mean-square error and the determination coefficient between the retrieved and measured soil temperatures were determined to be 2.2 degrees C and 0.70 and 3.5 degrees C and 0.52, respectively, for thawed frozen soil. These results indicate the perspectives of using the full-polarimetric multiangular BT observations in the L-band for the purpose of measuring the soil temperature in the Arctic region.

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Доп.точки доступа:
Ruzicka, Z.; Ружичка, Зденек; Музалевский, Константин Викторович; IEEE International Geoscience and Remote Sensing Symposium(2015 ; July ; 26-31 ; Milan, ITALY)
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