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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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    Bobrov, P. P.
    The effect of dielectric relaxation processes on the complex dielectric permittivity of soils at frequencies from 10 kHz to 8 GHz—Part II: Broadband analysis / P. P. Bobrov, E. S. Kroshka, K. V. Muzalevskiy // IEEE Trans. Geosci. Remote Sens. - 2024. - Vol. 62. - Ст. 2000411, DOI 10.1109/TGRS.2023.3340693. - Cited References: 51 . - ISSN 0196-2892. - ISSN 1558-0644
   Перевод заглавия: Эффект процессов диэлектрической релаксации на комплексную диэлектрическую проницаемость почв на частотах от 10 кГц до 8 ГГц
Кл.слова (ненормированные):
dielectric measurement -- Dobson dielectric model -- Maxwell–Wagner effect -- refraction-relaxation model -- soil moisture
Аннотация: This article is the second in a series evaluating the effect of dielectric relaxation processes on the relatively effective complex dielectric permittivity (RCP) of soils. Part II is based on the results of experimental measurements in the frequency range 10 kHz to 8–20 GHz. The broadband dielectric spectrum model includes the high-frequency part as a model of the dielectric mixture and the relaxation part as the sum of three relaxation processes modeled by the Debye and Cole–Cole formulas. For modeling the high-frequency part of the spectrum, the Dobson and Mironov models were considered as possible options. As stated in Part I, the influence of relaxation processes on the imaginary part of the RCP extends up to frequencies of units of gigahertz. The increase in the imaginary part in these models was compensated by unrealistically high values of the specific electrical conductivity of free and bound water. We examined the correspondence of these models to experimental data at frequencies above 2–5 GHz, assuming that the conductivity of bound and free water is zero. The parameters of relaxation processes were found while solving the least-square optimization problem using the technique for determining the continuous distribution of relaxation times (DRTs). Found process parameters depend on the content of clay, organic carbon, and moisture of the samples. The more clay is in the soil, the greater the strength of these processes is. The influence of organic carbon with the conditions being equal consists in the reduction of the real and imaginary parts of RCP.

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Держатели документа:
Faculty of Physics, Omsk State Pedagogical University, 644043 Omsk, Russia
Omsk Scientific Center SB RAS (Institute of Radiophysics and Physical Electronics), 644099 Omsk, Russia
Kirensky Institute of Physics Federal Research Center KSC Siberian Branch Russian Academy of Sciences, 660036 Krasnoyarsk, Russia

Доп.точки доступа:
Kroshka, E. S.; Muzalevskiy, K. V.; Музалевский, Константин Викторович
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Comparison of Two Retrieval Soil Moisture Algorithms on SMOS Data / P. P. Bobrov [и др.] // IEEE International Geoscience and Remote Sensing Symposium (IGRASS) : Proceedings. - Munich, 2012. - P1131-1134, DOI 10.1109/IGARSS.2012.6351349 . - ISBN 978-1-4673-1159-5
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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Доп.точки доступа:
Bobrov, P. P.; Mironov, V. L.; Миронов, Валерий Леонидович; Yashchenko, A. S.; Kosolapova, L. G.; Косолапова, Людмила Георгиевна; IEEE International Geoscience and Remote Sensing Symposium (2012 ; July ; 22-27 ; Munich, Germany)
}
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Dielectric model for thawed and frozen organic soils at 1.4 GHz / V. L. Mironov [et al.] // International Geoscience and Remote Sensing Symposium (IGARSS) : IEEE, 2018. - Vol. 2018-July: 38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 (22 July 2018 through 27 July 2018, ) Conference code: 141934. - Ст. 8518443. - P. 7180-7183, DOI 10.1109/IGARSS.2018.8518443. - Cited References: 6. - The study was supported by a grant from the Russian Foundation for Basic Research (project № 16-05-00572), and project №0356-2018-0060.
Кл.слова (ненормированные):
1.4 GHz -- Dielectric model -- Moisture -- Organic soils -- Remote sensing -- Temperature -- Thawed and frozen soils
Аннотация: Dielectric measurements of organic soils for five samples with different contents of organic matter are carried out in the temperature range from -30 °C to 25 °C in a wide frequency range from 0.45 to 16 GHz. On their basis, a simple single-frequency dielectric model of thawed and frozen organic soils has been created to calculate the complex relative permittivity of thawed and frozen organic soils, depending on the moisture, temperature and organic matter content at 1.4 GHz.

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Держатели документа:
Kirensky Institute of Physics SB RAS, Russian Federation

Доп.точки доступа:
Mironov, V. L.; Миронов, Валерий Леонидович; Kosolapova, L. G.; Косолапова, Людмила Георгиевна; Fomin, S. V.; Фомин, Сергей Викторович; Savin, I. V.; Савин, Игорь Викторович; Muzalevskiy, K. V.; Музалевский, Константин Викторович; IEEE International Geoscience and Remote Sensing Symposium(2018 ; July ; 22-27 ; Valencia, Spain)
}
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Director transformations within nematic droplets dispersed in polyvinylpirrolydon induced by temperature and moisture / Sutormin V.S., Krakhalev M.N., Prishchepa O.O., Zyryanov V.Ya. // 22nd International LC Conference : Abstracts. - 2008. - Vol. 1. - P. 378

Доп.точки доступа:
Sutormin, V. S.; Сутормин, Виталий Сергеевич; Krakhalev, M. N.; Крахалев, Михаил Николаевич; Prishchepa, O. O.; Прищепа, Оксана Олеговна; Zyryanov, V. Ya.; Зырянов, Виктор Яковлевич; IInternational LC Conference(22 ; 2008 ; Jeju, Korea)
}
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Error of Moisture Retrieving from the SMOS Radiobrightness with the Use of the Temperature Dependable Soil Dielectric Model / V. L. Mironov, L. G. Kosolapova, F. Demontoux // Proc. PIER. - 2011. - P709-711

eLibrary

Доп.точки доступа:
Mironov, V. L.; Миронов, Валерий Леонидович; Kosolapova, L. G.; Косолапова, Людмила Георгиевна; Demontoux, F.; Progress In Electromagnetics Research Symposium(2011 ; Sept. 12-16 ; Suzhou, China)
}
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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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    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 / V. L. Mironov [et al.] // IEEE Trans. Geosci. Remote Sensing. - 2019. - Vol. 51, Is. 6. - P. 3778 - 3787, DOI 10.1109/TGRS.2018.2887117. - Cited References: 26. - This work was supported by the Russian Foundation for Basic Research under Grant 16-05-00572. . - ISSN 0196-2892
   Перевод заглавия: Экспериментальный анализ и эмпирическая модель диэлектрической проницаемости пяти органических почв на частоте 1,4 ГГц в диапазоне температур от -30°C до 25°C
Кл.слова (ненормированные):
Dielectric measurement -- microwave measurement -- predictive models -- soil moisture
Аннотация: 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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Держатели документа:
Radiophysics of Remote Sensing Laboratory, Kirensky Institute of Physics, Siberian Branch of the Russian Academy of Sciences, Krasnoyarsk, Russia.

Доп.точки доступа:
Mironov, V. L.; Миронов, Валерий Леонидович; Kosolapova, L. G.; Косолапова, Людмила Георгиевна; Fomin, S. V.; Фомин, Сергей Викторович; Savin, I. V.; Савин, Игорь Викторович
}
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Field test of the surface soil moisture mapping using Sentinel-1 radar data / A. M. Zeyliger, K. V. Muzalevskiy, E. V. Zinchenko, O. S. Ermolaeva // Sci. Total Environ. - 2022. - Vol. 807, Part 2. - Ст. 151121, DOI 10.1016/j.scitotenv.2021.151121. - Cited References: 43. - The research was performed within the framework of the Russian Foundation for Basic Research project 19-29-05261 mk “Cartographic modelling of soil moisture reserves based on complex geophysical water content measurements for digital irrigated agriculture” . - ISSN 0048-9697
Кл.слова (ненормированные):
Sentinel-1 -- UAV -- Digital elevation model -- Radar backscattering -- Artificial neural network -- Soil moisture
Аннотация: Soil surface moisture is one of the key parameters for describing the hydrological state and assessing the potential availability of water for irrigated plants. Because the radar backscattering coefficient is sensitive to soil moisture, the application of Sentinel-1 data may support soil surface moisture mapping at high spatial resolution by detecting spatial and temporal changes at the field scale for precision irrigation management. This mapping is required to control soil water erosion and preferential water flow to improve irrigation water efficiency and minimise negative impacts on surface and ground water bodies. Direct observations of soil surface moisture (5-cm thickness) were performed at an experimental plot in the study site of the All-Russian Scientific Research Institute of Irrigated Agriculture, near the village Vodnyy, Volgograd region. Soil surface moisture retrieval from Sentinel-1 was performed at the same location. A second set of soil surface moisture was calculated for the soil sampling sites using the permittivity model, based on the estimates of soil surface characteristics: a) reflectivity, obtained by the neural network method from Sentinel-1 observations; b) roughness, obtained from the geodata of the stereoscopic survey with unmanned aerial vehicle Phantom 4 Pro. The raster set of soil surface moisture geodata was obtained based on the reflectivity geodata raster set to solve the inverse problem using a permittivity model that considers the soil texture of the experimental plot. The determination coefficient (0.948) and standard deviation (2.04%) were obtained by comparing both sets of soil moisture point geodata taken from the same soil sampling sites. The values confirmed a satisfactory linear correlation between the directly measured and indirectly modelled sets. A comparison of the two sets of geodata indicated a satisfactory reproduction of the first set by the second set. As a result, the developed method can be considered as the scientific and methodological basis of the new technology of soil surface moisture monitoring by radar, which is one of the basic characteristics used in precision irrigation management.

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Держатели документа:
Russian State Agrarian University – Moscow Timiryazev Academy, Moscow, Russian Federation
Kirensky Institute of Physics of the Siberian Branch of the RAS – Division of Federal Research Center, Krasnoyarsk Scientific Center of the Siberian Branch of the RAS, Krasnoyarsk, Russian Federation
Siberian Federal University, Krasnoyarsk, Russian Federation
All-Russian Scientific Research Institute of Irrigated Agriculture, Volgograd, Russian Federation

Доп.точки доступа:
Zeyliger, A. M.; Muzalevskiy, K. V.; Музалевский, Константин Викторович; Zinchenko, E. V.; Ermolaeva, O. S.
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10.

First use of the Meteor-M No. 2/MTVZA-GYa radiometer for remote sensing of soil moisture and temperature in the Arctic region / K. V. Muzalevskiy [et al.] // Progress in Electromagnetics Research Symposium - Spring : IEEE, 2017. - P1426-1429, DOI 10.1109/PIERS.2017.8261971. - Cited References: 7. - The reported study was funded by Russian Foundation for Basic Research, Government of Krasnoyarsk Territory, Krasnoyarsk Region Science and Technology Support Fund to the research project 16-45-242162, the Program of Presidium of the Russian Academy of Sciences "Arctic" and Program of SB RAS II.12.1. . - ISBN 978-1-5090-6269-0

РУБ Engineering, Electrical & Electronic

Аннотация: In this paper, the results of radiothermal remote sensing of moisture and temperature of thawed soil on a test site in the Taymyr Peninsula using full-polarimetric observations of brightness temperature at the frequency of 10.7 GHz are presented. The brightness temperature data were obtained from MTVZA-GYa radiometer on a board of Meteor-M No. 2 satellite with footprint area near the Norilsk city and Khatanga, the Russia Federation. The MTVZA-GYa data covered the period from January 1 to December 31, 2015. The method to retrieve the soil moisture and temperature was based on solving an inverse problem by minimizing the norm of the residuals between the observed and predicted values of the brightness temperature. The calculation of the brightness temperature was performed using a semi-empirical model of radio-thermal emission the parameters of which have been pre-calibrated at the test sites in the area of Norilsk and Khatanga, as well as using a soil dielectric model with high in organic matter. The dielectric model was especially designed based on laboratory measurements of the complex permittivity of the organic-rich soil samples, which were collected at the test site near Norilsk city. As a result, the values of the root-mean-square error between the retrieved and measured soil temperatures and soil moisture were not exceed 6.5o 0.06cm3/cm3, respectively for both test sites. These results indicate the perspectives of using the full-polarimetric observations of MTVZA-GYa radiometer on a board of Meteor-M No. 2 satellite in the X-band for the purpose of measuring the soil temperature and soil moisture in the Arctic region.

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Держатели документа:
Fed Res Ctr KSC SB RAS, Kirensky Inst Phys, Krasnoyarsk, Russia.
Siberian Ctr FGBU SRC Planeta, Novosibirsk, Russia.

Доп.точки доступа:
Muzalevskiy, K. V.; Музалевский, Константин Викторович; Ruzicka, Z.; Ружичка, Зденек; Zahvatov, M. G.; Savin, I. V.; Савин, Игорь Викторович; Karavaysky, A. Yu.; Каравайский, Андрей Юрьевич; Russian Foundation for Basic Research, Government of Krasnoyarsk Territory, Krasnoyarsk Region Science and Technology Support Fund [16-45-242162]; Program of Presidium of the Russian Academy of Sciences; [SB RAS II.12.1]; Progress in Electromagnetics Research Symposium - Spring 2017(May 22-25, 2017 ; St Petersburg)
}
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