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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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    Brief communication: Classification of thawed/frozen topsoil state by spectral gradient methods based on SMAP and GCOM-W1 radiometric data / K. Muzalevskiy, Z. Ruzicka, A. Roy [et al.] // EGUsphere. - 2022DOI 10.5194/egusphere-2022-224. - Cited References: 19 . - preprint
   Перевод заглавия: Краткое сообщение: Классификация талого/мёрзлого состояния верхнего слоя почвы методом спектральных градиентов на основе радиометрических данных SMAP и GCOM-W1
Аннотация: From 2015 to 2020, using spectral gradient radiometric methods, the possibility of frozen/thawed state identification of tundra soils was investigated based on SMAP and GCOM-W1 satellite observations of ten test sites located in the Arctic regions of Canada, Finland, Russia, and U.S. It is shown that the spectral gradients of brightness temperature and reflectivity, measured on the frequency range from 1.4 GHz to 36.5 GHz on horizontal polarization with a determination coefficient from 0.775 to 0.834, root-mean-square-error from 6.6 days to 10.7 days, and bias from -3.4 days to +6.5 days, make it possible to identify the thawed/frozen state of the tundra soils. Spectral gradient methods have a significantly higher accuracy for identification of frozen and thawed state of tundra soils in relation to single-frequency methods based on the calculation of polarization index.

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Держатели документа:
Laboratory of Radiophysics of Remote Sensing, Kirensky Institute of Physics Federal Research Center KSC Siberian Branch Russian Academy of Sciences, Krasnoyarsk, Russia
Siberian Federal University, Krasnoyarsk, Russia
Département des Sciences de l’Environnement, Université du Québec à Trois-Rivières (UQTR), Trois-Rivières, Centre d’étude Nordique, Québec, Canada
Department of Geography, Colgate University, Hamilton, NY, USA
Laboratory for Cartographic Modeling and Forecasting the State of Permafrost Geosystems, Earth Cryosphere Institute, Tyumen Scientific Centre SB RAS, Russia

Доп.точки доступа:
Muzalevskiy, K. V.; Музалевский, Константин Викторович; Ruzicka, Z.; Ружичка, Зденек; Roy, Alexandre; Loranty, Michael; Vasiliev, Alexander
}
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    Mironov, V. L.
    A temperature-dependent multi-relaxation spectroscopic dielectric model for thawed and frozen organic soil at 0.05-15 Ghz / V. L. Mironov [et al.] // Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International. - 2015. - P. 2031-2034DOI 10.1109/IGARSS.2015.7326198
   Перевод заглавия: Температурно-зависимая много-релаксационная спектроскопическая диэлектрическая модель для талой и мерзлой органической почвы в диапазоне частот 0,05-15 ГГц.
Аннотация: The dielectric model for an arctic organic-rich soil collected on the Yamal peninsula (50% of organic matter) both thawed and frozen has been developed. The model is based on the soil dielectric measurements carried out in the ranges of gravimetric moisture 0.03 to 0.55 g/g, dry soil density 0.72 to 0.87 g/cm3, and temperature 25 to −30°C (cooling run), in the frequency range 0.05–15 GHz. To fit the results of measurements of the soil complex dielectric constant as a function of soil moisture and wave frequency, the refractive mixing dielectric model in conjunction with the Debye multi-relaxation equations were applied. As a result, the spectroscopic parameters of dielectric relaxations and electrical specific conductivities for the bound, transient bound, and unbound soil water components were derived, being further complimented with the thermodynamics parameters. Having these parameters, the complex dielectric constant of soil can be predicted as a function of 1) density of dry soil, 2) gravimetric moisture, 3) wave frequency, and 4) temperature1.

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Доп.точки доступа:
Savin, I. V.; Савин, Игорь Викторович; Muzalevskiy, K. V.; Музалевский, Константин Викторович; Миронов, Валерий Леонидович; Geoscience and Remote Sensing Symposium(2015 ; jul ; 26-31 ; Milan, Italy)
}
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    Mironov, V. L.
    A temperature-dependent multi-relaxation spectroscopic dielectric model for thawed and frozen organic soil at 0.05–15 GHz / V. L. Mironov, I. V. Savin // Phys. Chem. Earth. - 2015. - Vol. 83–84: Emerging science and applications with microwave remote sensing data. - P. 57-64, DOI 10.1016/j.pce.2015.02.011. - Cited References: 14. - The study was supported by the Russian Science Foundation (project 14-17-00656). . - ISSN 1474-7065
   Перевод заглавия: Температурно зависимая многорелаксационная спектроскопическая диэлектрическая модель талой и мерзлой органической почвы в диапазоне частот 0.05 – 15 ГГц

РУБ Geosciences, Multidisciplinary + Meteorology & Atmospheric Sciences + Water Resources
Рубрики:
ARCTIC SOIL
BOREAL
Кл.слова (ненормированные):
Organic soil -- Moisture -- Temperature -- Dielectric model -- Thawed and frozen soil -- SMOS
Аннотация: A dielectric model for thawed and frozen Arctic organic-rich soil (50% organic matter) has been developed. The model is based on soil dielectric measurements that were collected over ranges of gravimetric moisture from 0.03 to 0.55 g/g, dry soil density from 0.72 to 0.87 g/cm3, and temperature from 25 to −30 °C (cooling run) in the frequency range of 0.05–15 GHz. The refractive mixing dielectric model was applied with the Debye multi-relaxation equations to fit the measurements of the soil’s complex dielectric constant as a function of soil moisture and wave frequency. The spectroscopic parameters of the dielectric relaxations for the bound, transient bound, and unbound soil water components were derived and were complimented by the thermodynamic parameters to obtain a complete set of parameters for the proposed temperature-dependent multi-relaxation spectroscopic dielectric model for moist soils. To calculate the complex dielectric constant of the soil, the following input variables must be assigned: (1) density of dry soil, (2) gravimetric moisture, (3) wave frequency, and (4) temperature. The error of the dielectric model was evaluated and yielded RMSEε′ values of 0.348 and 0.188 for the soil dielectric constant and the loss factor, respectively. These values are on the order of the dielectric measurement error itself. The proposed dielectric model can be applied in active and passive microwave remote sensing techniques to develop algorithms for retrieving the soil moisture and the freeze/thaw state of organic-rich topsoil in the Arctic regions.

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Доп.точки доступа:
Savin, I. V.; Савин, Игорь Викторович; Миронов, Валерий Леонидович
}
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    Mironov, V. L.
    Impact of a freezing topsoil on determining the Arctic tundra surface deformation using InSAR / V. L. Mironov, K. V. Muzalevskiy ; ed. VL Mironov. - 1Int. Sib. Conf. on Control and Communicat. : Proc. - 2013. - Ст. 6693624, DOI 10.1109/SIBCON.2013.6693624. - Cited References: 8 . - ISSN 978-1-479. - ISSN 978-14799
   Перевод заглавия: Влияние процесса замерзания почвы на определение деформации поверхности почвы арктической тундры с использованием InSAR

РУБ Engineering, Electrical & Electronic + Telecommunications

Кл.слова (ненормированные):
SAR Interferometry (InSAR) -- SMAP -- ALOS -- permafrost -- Arctic tundra soil -- active layer -- freezing -- thawing -- soil temperature
Аннотация: In this paper, we study the effect of the layered structure of the active topsoil of the Arctic tundra during freezing on the error of determining surface deformation. A simple Bragg scattering model was used for surface scattering modeling. The simulation was performed in the L-band for future radar missions SMAP and ALOS-2. The soil permittivity is calculated using the temperature-dependent generalized refractive mixing dielectric model for the organic rich soil sample collected in North Slope, Alaska (68 degrees 38'N, 149 degrees 35'W). This model predicts the complex dielectric constant of moist soil both thawed and frozen at temperatures from -30 degrees C to +25 degrees C and moistures from 0 to 0.94 g/g. It is shown that the error of determining soil surface deformation, induced by processes of freezing of the permafrost active layer, does not exceed 1.5 cm.

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Доп.точки доступа:
Muzalevskiy, K. V.; Музалевский, Константин Викторович; Mironov, V. L. \ed.\; Миронов, Валерий Леонидович; International Siberian Conference on Control and Communications(10 ; 2013 ; Sept. 12-13 ; Krasnoyarsk)
}
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    Mironov, V. L.
    Retrieving temperature gradient in frozen active layer of arctic tundra soils from radiothermal observations in L-Band-Theoretical modeling / V. L. Mironov, K. V. Muzalevskiy, I. V. Savin ; funding agency Siberian Branch of the Russian Academy of Sciences (SB RAS) // IEEE J. Sel. Top. Appl. Earth Observ. Remote Sens. - 2013. - Vol. 6, Is. 3. - Ст. 6520003. - P. 1781-1785, DOI 10.1109/JSTARS.2013.2262108. - Cited References: 20 . - ISSN 1939-1404
   Перевод заглавия: Восстановление градиента температуры в активном слое мерзлой почвы арктической тундры по данным радиометрических наблюдений в L-диапазоне. Теоретическое моделирование
Рубрики:
WATER
   RADIOMETER
   BOREAL
Кл.слова (ненормированные):
Active layer -- Arctic tundra soil -- freezing -- microwave remote sensing -- radiometry -- soil moisture and ocean salinity (SMOS) -- soil temperature -- temperature profile -- thawing
Аннотация: Possibility of remote sensing of both the surface temperature and the temperature gradient in the permafrost active layer from L-band brightness temperature observations is theoretically investigated at a SMOS frequency of 1.4 GHz. Bare soil emission is simulated based on the semi-empirical L-MEB model. The brightness temperature is simulated using the soil density, surface roughness, temperature, and moisture profiles measured in situ at the Biosphere Station Franklin Bluffs, Alaska, USA (69°39'N, 148°43'W) from September 2, 1999, to August 23, 2001. The soil permittivity is calculated using the temperature-dependent generalized refractive mixing dielectric model for the organic rich soil sample collected in North Slope, Alaska (68°38'N, 149°35'W). This model predicts the complex dielectric constant of moist soil both thawed and frozen at temperatures from-30°C to +25°C and moistures from 0 to 0.94 g/g. The brightness temperatures simulated for field-of-view angles from 0 to 60\circ are inverted into the temperature profiles, and their deviations from the temperature profiles measured in situ are estimated. The error in reconstructing temperature profiles is found to be no greater than 1.8 °C to depths of 0.15 m. © 2013 IEEE.

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Доп.точки доступа:
Muzalevskiy, K. V.; Музалевский, Константин Викторович; Savin, I. V.; Савин, Игорь Викторович; Миронов, Валерий Леонидович; Siberian Branch of the Russian Academy of Sciences (SB RAS)
}
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Mironov, V. L.
Spaceborne radar monitoring of soil freezing/thawing processes in the Arctic tundra / V. L. Mironov, K. V. Muzalevskiy // Russ. Phys. J. - 2013. - Vol. 55, Is.8. - P. 899-902, DOI 10.1007/s11182-013-9898-6. - Cited References: 12 . - ISSN 1064-8887
Кл.слова (ненормированные):
active topsoil -- complex dielectric constant, Arctic tundra -- freezing/thawing soil -- radar backscattering coefficient -- soil temperature
Аннотация: In this article, the possibility of measuring the average temperature in the active topsoil of the Arctic tundra from the temperature dependence of the radar backscattering coefficient is theoretically studied. The radar backscattering coefficient is simulated by the small perturbation method at a frequency of 1.26 GHz of radars placed onboard ALOS-2 and SMAP satellites. In simulation, the soil density, surface roughness, and temperature and moisture profiles measured in situ at the biosphere station Franklin Bluffs, Alaska (69В°39? N, 148В°43? W), from August 1, 2000 to July 1, 2001 were used. The soil permittivity was calculated for the generalized temperature-dependent refractive mixing dielectric model for organic rich soil whose sample was taken on the Alaska North Slope (68В°38?N, 149В°35?W). This model allows the complex dielectric constant of moist thawed and frozen soil to be calculated at temperatures in the range from -30В°S{cyrillic} to +25В°S{cyrillic}. It is demonstrated that the radar backscattering coefficient is correlated with the topsoil temperature with the error less than 5.7В°S{cyrillic} during the entire period of freezing and thawing. В© 2013 Springer Science+Business Media New York.

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Публикация на русском языке Миронов, Валерий Леонидович. Космический радиолокационный мониторинг процессов замерзания и оттаивания почвы арктической тундры / В. Л. Миронов // Известия высших учебных заведений. Физика : Томский государственный университет, 2012. - Т. 55, № 8. - С. 40-43. - ISSN 0021-3411

Держатели документа:
Russian Acad Sci, LV Kirensky Phys Inst, Siberian Branch, Krasnoyarsk, Russia
MF Reshetnev Siberian State Aerosp Univ, Krasnoyarsk, Russia

Доп.точки доступа:
Muzalevskiy, K. V.; Музалевский, Константин Викторович; Миронов, Валерий Леонидович
}
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    Mironov, V. L.
    Temperature dependent dielectric model at 1.4 GHz for an agricultural soil thawed and frozen / V. L. Mironov, A. Yu. Karavaysky // Int. Sib. Conf. on Control and Communicat. (SIBCON 2015) : Proceedings : IEEE-Institute Electrical and Electronics Engineers, 2015. - P. 1-4, DOI 10.1109/SIBCON.2015.7147092. - Cited References:9
   Перевод заглавия: Температурно зависимая диэлектрическая модель на частоте 1,4 ГГц для талой и мерзлой сельскохозяйственной почвы
Кл.слова (ненормированные):
agricultural soil -- dielectric model -- moisture -- remote sensing -- temperature -- thawed and frozen soil -- Agriculture -- Frozen soils -- Mixing -- Moisture -- Refractive index -- Remote sensing -- Soil moisture -- Soils -- Temperature -- Thawing -- Agricultural soils -- Complex refractive index -- Dielectric measurements -- Dielectric modeling -- Measurements of -- Mixing models -- Soil solids -- Temperature dependent -- Soil surveys
Аннотация: A mono-frequency dielectric model for the agricultural soil both thawed and frozen has been developed. The model is based on the soil dielectric measurements carried out in the ranges of volumetric moisture from 0,03 to 0,51 cm3/ cm3, dry soil density from 1.12 to 1.64 g/cm3, and temperature from -30 to 25°C (heating run), at the frequency of 1.4 GHz used in the SMOS mission. To fit the results of measurements of the soil complex refractive index (CRI) as a function of soil moisture, the refractive mixing model was applied. As a result, the parameters of the refractive mixing model linked to soil solids, as well as the bound, transient, and free soil water components were derived as a function of temperature. The error of the proposed dielectric model was shown to be in the order of the dielectric measurement error itself. © 2015 IEEE.

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Доп.точки доступа:
Karavaisky, A. Yu.; Каравайский, Андрей Юрьевич; Миронов, Валерий Леонидович; International Siberian Conference on Control and Communications(11 ; 2015 ; May 21-23 ; Omsk)
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    Mironov, V. L.
    Temperature dependent multi-relaxation spectroscopic dielectric model for an arctic silt clay loam soil thawed and frozen at 0.1-15 GHZ / V. L. Mironov, I. P. Molostov, A. Yu. Karavaysky // IEEE Int.Geoscience and Remote Sensing Symp. (IGARSS) : proceedings. - 2016. - P. 3122-3125DOI 10.1109/IGARSS.2016.7729807. - Cited References: 5
   Перевод заглавия: Температурно зависимая много-релаксационная спектроскопическая диэлектрическая модель для арктической суглинистой почвы при замораживании и оттаивании на частоте 0,1-15 ГГц
Аннотация: The dielectric model for an arctic silt clay loam soil collected on the Yamal peninsula both thawed and frozen has been developed. The model is based on the soil dielectric measurements carried out in the ranges of gravimetric moisture 0.01 to 0.33 g/g, dry soil density 1.28 to 1.65 g/cm3, and temperature 25 to -30°C (cooling run), in the frequency range 0.1-15 GHz. To fit the results of measurements of the soil complex dielectric constant as a function of soil moisture and wave frequency, the refractive mixing dielectric model in conjunction with the Debye multi-relaxation equations were applied. As a result, the spectroscopic parameters of dielectric relaxations and electrical specific conductivities for the bound, transient bound, and unbound soil water components were derived, being further complimented with the thermodynamics parameters. Having these parameters, the complex relative permittivity of soil can be predicted as a function of 1) density of dry soil, 2) gravimetric moisture, 3) wave frequency, and 4) temperature.

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Доп.точки доступа:
Molostov, I. P.; Молостов, Илья Петрович; Karavaysky, A. Yu.; Каравайский, Андрей Юрьевич; Миронов, Валерий Леонидович; IEEE International Geoscience and Remote Sensing Symposium(2016 ; July ; 10-15 ; Beijing, China)
}
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10.

    Mironov, V. L.
    Temperature-dependent spectroscopic dielectric model at 0.05–16 GHz for a thawed and frozen Alaskan organic soil / V. L. Mironov, I. V. Savin // Satellite Soil Moisture Retrieval : Techniques and Applications : Elsevier, 2016. - Siction III: Microwave Soil Moisture Retrieval Techniques, Chapter 9. - P. 169-186, DOI 10.1016/B978-0-12-803388-3.00009-7. - Cited References: P. 185-186
   Перевод заглавия: Температурно-зависимая спектроскопическая диэлектрическая модель талой и мерзлой органической почвы Аляски в диапазоне частот от 0.05 до 16 ГГц
Аннотация: This book (пер. загл.: Спутниковое восстановление влажности почв. Техника и применение) provides a detailed reference that offers essential information on monitoring and understanding soil moisture retrieval techniques and their applications, and includes thought-provoking sections on techniques from microwave, optical and infrared satellite datasets, such as the universal triangle method, vegetation and indices based approaches.

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Savin, I. V.; Савин, Игорь Викторович; Миронов, Валерий Леонидович
}
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11.

    Modelling the passive microwave signature from land surfaces: A review of recent results and application to the L-band SMOS & SMAP soil moisture retrieval algorithms / J. -P. Wigneron [et al.] // Remote Sens. Environ. - 2017. - Vol. 192. - P. 238-262, DOI 10.1016/j.rse.2017.01.024. - Cited References: 187. - This research work was funded by CNES (Centre National d'Etudes Spatiales) through the Science TOSCA (Terre Océan Surfaces Continentales et Atmosphère) program. The authors wish to thank the three anonymous reviewers for their helpful comments and Sylvie Renaud (IMS) for fruitful discusions. . - ISSN 0034-4257
   Перевод заглавия: Моделирование пассивного микроволнового излучения с наземных поверхностей: обзор последних результатов и применение к алгоритмам восстановления влажности почвы космическими аппаратами SMOS и SMAP в L-диапазоне
Кл.слова (ненормированные):
Atmospheric temperature -- Climate models -- Moisture -- Moisture control -- Scanning antennas -- Soils -- Vegetation -- Experimental campaign -- Microwave brightness temperature -- Passive microwave signatures -- Semiempirical models -- Soil moisture retrievals -- Surface soil moisture -- Surface temperatures -- System configurations -- Soil moisture
Аннотация: Two passive microwave missions are currently operating at L-band to monitor surface soil moisture (SM) over continental surfaces. The SMOS sensor, based on an innovative interferometric technology enabling multi-angular signatures of surfaces to be measured, was launched in November 2009. The SMAP sensor, based on a large mesh reflector 6 m in diameter providing a conically scanning antenna beam with a surface incidence angle of 40°, was launched in January of 2015. Over the last decade, an intense scientific activity has focused on the development of the SM retrieval algorithms for the two missions. This activity has relied on many field (mainly tower-based) and airborne experimental campaigns, and since 2010–2011, on the SMOS and Aquarius space-borne L-band observations. It has relied too on the use of numerical, physical and semi-empirical models to simulate the microwave brightness temperature of natural scenes for a variety of scenarios in terms of system configurations (polarization, incidence angle) and soil, vegetation and climate conditions. Key components of the inversion models have been evaluated and new parameterizations of the effects of the surface temperature, soil roughness, soil permittivity, and vegetation extinction and scattering have been developed. Among others, global maps of select radiative transfer parameters have been estimated very recently. Based on this intense activity, improvements of the SMOS and SMAP SM inversion algorithms have been proposed. Some of them have already been implemented, whereas others are currently being investigated. In this paper, we present a review of the significant progress which has been made over the last decade in this field of research with a focus on L-band, and a discussion on possible applications to the SMOS and SMAP soil moisture retrieval approaches. © 2017 Elsevier Inc.

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Держатели документа:
ISPA, INRA Bordeaux, France
USDA, Beltsville, MD, United States
NASA/GSFC, Greenbelt, MD, United States
KULeuven, Heverlee, Belgium
ECMWF, Reading, United Kingdom
Monash University, Australia
University of Rome Tor Vergata, Italy
Kirenski Institute, Krasnoyarsk, Russian Federation
CESBIO, Universite de Toulouse, CNES/CNRS/IRD/UPS, Toulouse, France
Netherlands Space Office (NSO), The Hague, Netherlands
Mississippi State University, MS, United States
Gamma Remote Sensing and WSL-Birmensdorf, Switzerland
NASA/JPL, Pasadena, CA, United States
CARTEL, University of Sherbrooke, Canada
ESA ESRIN, Roma, Italy

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Wigneron, J. -P.; Jackson, T. J.; O'Neill, P.; De Lannoy, G.; de Rosnay, P.; Walker, J. P.; Ferrazzoli, P.; Mironov, V. L.; Миронов, Валерий Леонидович; Bircher, S.; Grant, J. P.; Kurum, M.; Schwank, M.; Munoz-Sabater, J.; Das, N.; Royer, A.; Al-Yaari, A.; Al Bitar, A.; Fernandez-Moran, R.; Lawrence, H.; Mialon, A.; Parrens, M.; Richaume, P.; Delwart, S.; Kerr, Y.
}
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12.

    Muzalevskiy, K. V.
    A new method for remote sensing of moisture profiles in the arable layer at three frequencies; experimental case study / K. Muzalevskiy // Int. J. Remote Sens. - 2021. - Vol. 42, Is. 7. - P. 2377-2390, DOI 10.1080/01431161.2020.1851795. - Cited References: 35. - This work was supported by the Russian Foundation for Basic Research (grant No. 18-05-00405) in part of the sensing depth investigation and retrieving soil moisture. The method of the formation of radio impulses was created in part of SB RAS project No. 0356-2019-0004 . - ISSN 0143-1161
   Перевод заглавия: Новый способ дистанционного зондирования профилей влажности пахотного слоя почвы на трёх частотах. Экспериментальное исследование
Кл.слова (ненормированные):
microwave remote sensing -- radar -- UAV -- soil moisture profile -- soil permittivity
Аннотация: In this paper, the possibilities of remote sensing of moisture profiles in the arable layer were theoretically and experimentally studied based on the nadir measurements of reflection coefficients at three frequencies of 1.26 GHz, 796 MHz and 641 MHz. The reflection coefficients were measured by the impulse method during natural cycles of evaporation and moistening of an arable layer at the agricultural field being under steam, located at 56°05ʹN, 92°40ʹ E in the area of the Minino village, Krasnoyarsk region, the Russian Federation. The soil moisture profiles were retrieved in the course of solving the inverse problem, in which the reflection coefficients at different frequencies acted as an informative sign. The root-mean-square error and the determination coefficient (R 2) between retrieved and measured moisture values in the topsoil thickness of 0.15 m were 3.3% and 0.79, respectively. In the course of theoretical calculations, it was shown that in practice, it is impossible to predict the sensing depth of the arable layer without preliminary information on the form of moisture profile. Moreover, the sensing depth depends not only on the form of soil moisture profile but also on frequency. In this regard, it is impossible to correlate the effective soil moisture, retrieved from single-frequency measurements of the reflection coefficient in the approximation of homogeneous topsoil, with the specific thickness of topsoil. The study shows the promise of developing multi-frequency radar systems for remote sensing of soil moisture profiles in the arable layer, the potential of which can be realized on lightweight unmanned area vehicle (UAV) platforms.

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Laboratory of Radiophysics of the Earth Remote Sensing, Kirensky Institute of Physics Federal Research Center KSC Siberian Branch Russian Academy of Sciences, Krasnoyarsk, Russian Federation

Доп.точки доступа:
Музалевский, Константин Викторович
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13.

    Muzalevskiy, K. V.
    Detection of soil freeze/thaw states in the Arctic region based on combined SMAP and AMSR-2 radio brightness observations / K. Muzalevskiy, Z. Ruzicka // Int. J. Remote Sens. - 2020. - Vol. 41, Is. 14. - P. 5046-5061, DOI 10.1080/01431161.2020.1724348. - Cited References: 36. - This study was funded by the SB RAS Program (project No. 0356-2019-0004). . - ISSN 0143-1161. - ISSN 1366-5901
   Перевод заглавия: Идентификация мёрзлого и талого состояния почвы в Арктическом регионе на основе данных наблюдений радиояркостной температуры SMAP и AMSR-2

РУБ Remote Sensing + Imaging Science & Photographic Technology
Рубрики:
L-BAND
   DIELECTRIC MODEL
   TEMPERATURE
   SURFACE
   FROZEN
   SMOS
Аннотация: In this study, a new approach to identify the freeze/thaw states of tundra topsoil was developed based on the polarization ratio index, which was calculated from the reflectivity values of soil. Reflectivity was estimated from radiometric measurements of the SMAP satellite using the values of vertical polarization brightness temperature measured by the AMSR-2 radiometer at 6.9 GHz; this value was used to characterize the effective temperature of the soil. The proposed approach was tested using weather station data on soil surface temperatures for six test sites located in the North Slope of Alaska and the Yamal Peninsula collected from April 2015 to June 2018. The modified polarization ratio index, calculated from values of reflectivity rather than from brightness temperatures, significantly improved the possibility of determining the reference values of the index in the winter and in the summer. During testing, the modified index showed a good correlation between the dates of transition through the threshold level and soil temperature transition through 0ºC, as recorded at meteorological stations.

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Russian Acad Sci, Lab Radiophys Earth Remote Sensing, Siberian Branch, Kirensky Inst Phys Fed Res Ctr,KSC, Krasnoyarsk, Russia.

Доп.точки доступа:
Ruzicka, Z.; Ружичка, Зденек; Музалевский, Константин Викторович; SB RAS Program [0356-2019-0004]
}
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14.

    Muzalevskiy, K. V.
    Effects of organo-mineral structure of arctic topsoil on the own thermal radiation in the L-band / K. V. Muzalevskiy, L. Yury // Int. Sib. Conf. on Control and Communicat. (SIBCON 2015) : Proceedings : IEEE-Institute Electrical and Electronics Engineers, 2015, DOI 10.1109/SIBCON.2015.7147152 . - ISBN 9781479971022 (ISBN)
   Перевод заглавия: Влияние органо-минеральной структуры верхнего слоя арктической почвы на собственное тепловое излучение в L-диапазоне"
Кл.слова (ненормированные):
Artic tundra -- Mineral soil -- Organic soil -- Permafrost -- SMOS -- Soil temperature -- Atmospheric humidity -- Balloons -- Heat radiation -- Landforms -- Luminance -- Minerals -- Permafrost -- Permittivity -- Radiation effects -- Soils -- Temperature -- Artic tundra -- Mineral soils -- Organic soil -- SMOS -- Soil temperature -- Soil surveys
Аннотация: In this paper, the influence of organic-mineral Arctic tundra soils on own thermal radiation in the L-band was theoretically investigated. For modeling of brightness temperature there were used semi-empirical L-band Microwave Emission of the Biosphere (L-MEB) model. An integral part of this model is permittivity models of tundra organic and mineral soils, which links the brightness temperature with moisture, temperature and density of soil. The permittivity models were developed based on the measurements of the organic rich and mineral soil samples collected at the Vaskiny Dachi weather station test-site in Yamal peninsular. As a result, the potential error of soil temperature retrieval in case of layered and homogeneous organic-mineral soil are shown based on simulated brightness temperature at 1.4 GHz. © 2015 IEEE.

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Lukin, Y. I.; Лукин, Юрий Иванович; Музалевский, Константин Викторович; International Siberian Conference on Control and Communications(11 ; 2015 ; May 21-23 ; Omsk)
}
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15.

    Muzalevskiy, K. V.
    Retrieving soil moisture profiles based on multifrequency polarimetric radar backscattering observations. Theoretical case study / K. Muzalevskiy // Int. J. Remote Sens. - 2021. - Vol. 42, Is. 2. - P. 506-519, DOI 10.1080/01431161.2020.1809743. - Cited References: 46. - This work was supported by the Russian Foundation for Basic Research (grant No. 18-05-00405) in part of the sensing depth investigation and retrieving soil moisture in the L-band, a technique for measuring moisture profiles at two frequencies of 435 MHz and 5.4 GHz was created in part of SB RAS project No. 0356-2019-0004 . - ISSN 0143-1161
   Перевод заглавия: Восстановление профилей влажности почвы на основе многочастотных поляриметрических наблюдений обратного радарного рассеяния
Кл.слова (ненормированные):
Antennas -- Backscattering -- Cost functions -- Exponential functions -- Inverse problems -- Perturbation techniques -- Polarimeters -- Radar -- Remote sensing -- Soil moisture
Аннотация: In this theoretical work, a dual-frequency polarimetric method is proposed for measuring moisture profiles in the topsoil up to 0.30 m thick. A case of measuring soil moisture profiles, which monotonically changes with depth, during 37 days after irrigation is considered. Original values of backscattering coefficients are calculated by the Oh model and by the small perturbation method at frequencies of 5.4 GHz and 435 MHz, respectively. In these calculations, we used measured moisture profiles and spectroscopic refractive mixing dielectric model of non-saline mineral soil with a clay fraction of 9.1%. Soil moisture profiles are retrieved by solving the inverse problem, the cost function of which is constructed based on the co- and cross-polarized ratios, calculated at two frequencies for the measured and modelled soil moisture profiles. An exponential function is used as a modelled soil moisture profile. It is shown that the standard deviation between the retrieved and measured soil moisture values in the surface layer 0.30 m thick appears to be ≤0.02 m3 m−3 (theoretical limit), and the determination coefficient is 0.881. The study shows a promising path towards developing multi-frequency radar systems for remote sensing of soil moisture profiles using satellites-based and unmanned aerial vehicles air-based platforms.

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Laboratory of Radiophysics of the Earth Remote Sensing, Kirensky Institute of Physics Federal Research Center KSC Siberian Branch Russian Academy of Sciences, Krasnoyarsk, Russian Federation

Доп.точки доступа:
Музалевский, Константин Викторович
}
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16.

    Muzalevskiy, K. V.
    Signatures of Sentinel-1 Radar and SMAP Radiometer Depending on the Temperature of Frozen Arctic Soil in the Cooling and Heating Process of the Active Layer / K. V. Muzalevskiy, Z. Ruzicka // IEEE International Geoscience and Remote Sensing Symposium (IGRASS) : Proceedings. - 2018. - P. 7176-7179, DOI 10.1109/IGARSS.2018.8517538. - Cited References: 12. - The study was performed thanks to a grant from the Program of SB RAS II.12 (№0356-2017-0034) and project № 0356-2018-0060 . - ISSN 978-1-538
   Перевод заглавия: Температурные зависимости сечения обратного радарного рассеяния спутника Sentinel-1 и радиояркостной температуры спутника SMAP в процессе нагревания и охлаждения деятельного слоя тундровой почвы
Аннотация: In this paper, the results of radiothermal and radar remote sensing of several Arctic tundra test sites were investigated to establish the dependences of the reflectivity and backscattering coefficient on soil temperature. The brightness temperature and backscattering coefficient were measured by a SMAP radiometer (1.4GHz) and Sentinel-1 radar (5.4GHz) over areas near to Franklin Bluffs weather station in the North Slope of Alaska and Isachsen weather station on Ellef Ringnes Island respectively. It has been experimentally and theoretically shown that between the surface soil temperature measured by weather stations in the period 2015-2016 and the reflectivity or backscattering coefficient there is a strong correlation relationship no worse than 0.68. In addition, in the range of soil surface temperature changes from -30°C to 0°C, the variations in the backscattering coefficient and reflectivity are about 4 dB for both test sites. This study contributes to further understanding the processes of microwave emission and scattering of frozen Arctic soils that is pertinent to developing new remote sensing algorithms for the permafrost region.

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Доп.точки доступа:
Ruzicka, Z.; Ружичка, Зденек; Музалевский, Константин Викторович; IEEE International Geoscience and Remote Sensing Symposium(2018 ; July ; 22-27 ; Valencia, Spain); Международный симпозиум по наукам о Земле и дистанционному зондированию(2018 ; июль ; 22-27 ; Валенсия, Испания)
}
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17.

    Muzalevskiy, K. V.
    Temperature dependence of the backscattering coefficient measured by ALOS PALSAR during cooling and heating of tundra topsoil / K. V. Muzalevskiy // Журн. радиоэлектрон. - 2019. - № 11 ; J. Radio Electron., DOI 10.30898/1684-1719.2019.11.19. - Cited References: 11. - The study was performed thanks to the Program of SB RAS (project No.0356-2019-0004), JAXA project No.PI 1422002. . - ISSN 1684-1719
   Перевод заглавия: Температурная зависимость коэффициента обратного рассеяния, измеренного ALOS PALSAR в ходе охлаждения и нагревания поверхности тундровой почвы
Кл.слова (ненормированные):
ALOS PALSAR -- backscattering -- active layer -- topsoil temperature -- ALOS PALSAR -- обратное рассеяние -- деятельный слой -- температура почвы
Аннотация: In this paper, dependences of backscattering coefficient on Arctic tundra soil temperature were investigated. The backscattering coefficient was measured by ALOS PALSAR (1.3GHz) over areas near to Imnaviat weather station in the North Slope of Alaska in the period from January 12, 2009 to April 20, 2011. It has been experimentally and theoretically shown that there is a strong correlation relationship no worse than 0.76 between the surface soil temperature measured by weather stations and backscattering coefficient. The variations of the backscattering coefficient was found to be about 5-6 dB over the test site when soil surface temperature changes from -10°С to 10°С. This study contributes to further understanding the processes of scattering of frozen Arctic soils that is pertinent to developing new remote sensing algorithms for the permafrost region.
В данной работе представлены результаты исследования температурной зависимости коэффициента обратного радарного рассеяния, измеренного ALOS (PALSAR) на частоте 1,26ГГц, для тундрового тестового участка, расположенного на Северном склоне Аляски вблизи метеорологической станции Имнавиат. Экспериментально и теоретически показано, что температура поверхности почвы, измеренная метеостанцией в период с 12 января 2009 года по 20 апреля 2011 года, и коэффициент обратного рассеяния нелинейно зависят друг от друга с квадратом коэффициента корреляции 0,76. Данная зависимость удовлетворительно может быть описана моделью рассеяния Оха и температурно-зависимой диэлектрической моделью талых и мёрзлых тундровых почв с высоким содержанием органического вещества. Показано, что в диапазоне изменений температуры поверхности почвы от -10°С до 10°С вариации коэффициента обратного рассеяния на испытательном участке не превышают 5-6 дБ. Данное исследование способствует дальнейшему пониманию процессов рассеяния микроволн мерзлыми арктическими почвами, с целью разработки новых алгоритмов дистанционного зондирования Арктических регионов.

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Держатели документа:
Kirensky Institute of Physics Federal Research Center KSC SB RAS, 660036 Krasnoyarsk, Russia

Доп.точки доступа:
Музалевский, Константин Викторович

}
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18.

    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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19.

    Soil moisture retrieval in the North Slope of Alaska from GCOM-W1/AMSR2 and Meteor-M No. 2/MTVZA-GYa radiometers data / K. V. Muzalevskiy [et al.] // Progr. Electromag. Res. Symp. (PIERS) : Proceedings. - 2017. - P. 1442-1448DOI 10.1109/PIERS.2017.8261974. - Cited References: 12. - The reported study was funded by Russian Foundation for Basic Research, Government of Krasno-yarsk Territory, Krasnoyarsk Region Science and Technology Support Fund to the research project No. 16-45-242162, the Program of Presidium of the Russian Academy of Sciences “Arctic” and Program of SB RAS II.12.1.
   Перевод заглавия: Восстановление влажности почвы на северном склоне Аляски по радиометрическим данным спутников GCOM-W1/AMSR2 и Метеор-M No. 2/MTVZA-GYa
Аннотация: In this paper, for the Arctic tundra region in the North Slope of Alaska, calibration of microwave emission model on the basis of AMSR2 and MTVZA-GYa radiometric data of the GCOM-W1 and Meteor-M No. 2 satellites, respectively were carried out. The GCOM-W1 and Meteor-M No. 2 brightness temperature data covered the period from January 1, 2012 to December 31, 2016 and January 1 to December 31, 2015, respectively. The peculiarity of the proposed calibration lies in the use of biomass vegetation and soil temperature estimations from the AMSR2 and the MTVZA-GYa radiometers observations with using empirical relationships. To estimate the vegetation biomass and soil temperature were proposed calibration curves linking brightness temperatures, measured by the radiometers, with the aboveground phytomass which was estimated from MODIS NDVI data, and with soil temperature which was measured by weather stations in-situ. As a result was shown that the proposed calibration allows to retrieve soil moisture at the test sites in North Slope of Alaska with determination coefficient of 0.46–0.52 and RMSE of 0.06–0.1 cm3/cm3. The study shows the potential possibility of carrying out the calibration of emission model, which improves the accuracy of the measurement of soil moisture in the Arctic region compared to existing satellite information products. This study demonstrates the possibility of using radiometer MTVZA-GYa on aboard of the Russian satellite Meteor-M No. 2 to measure soil moisture in the Arctic region. Found empirical relationships between brightness temperatures and surface soil temperature and aboveground phytomass at the test sites allows to predict these values from GCOM-W1 and Meteor-M No. 2 observations in the range of RMSE 53–54g/m2 and 1–1.5K, respectively.

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Muzalevskiy, K. V.; Музалевский, Константин Викторович; Ruzicka, Z.; Ружичка, Зденек; Zahvatov, M. G.; Muskett, R. R.; Fomin, S. V.; Фомин, Сергей Викторович; Progress in Electromagnetics Research Symposium(38 ; 2017 ; May, 22 - 25 ; St Petersburg, Russia)
}
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20.

    Temperature dependent dielectric model at 1.4 GHz for a tundra organic-rich soil thawed and frozen / V. L. Mironov [et al.] // Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International. - 2015. - P. 2016-2019DOI 10.1109/IGARSS.2015.7326194
   Перевод заглавия: Температурно зависимая диэлектрическая модель на частоте 1,4 ГГц для талой и мерзлой сельскохозяйственной почвы
Аннотация: A mono-frequency dielectric model for a tundra organic-rich soil both thawed and frozen has been developed. The model is based on the soil dielectric measurements carried out in 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 to −30 °C (cooling run), at the frequency of 1.4 GHz used by the SMOS instrument. To fit the results of measurements of the soil complex refractive index (CRI) as a function of soil moisture, the refractive mixing model was applied. As a result, the parameters of the refractive mixing model linked to soil solids, as well as the bound, transient, and free soil water components were derived as a function of temperature. The error of the proposed dielectric model was shown to be in the order of the dielectric measurement error itself1.

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Mironov, V. L.; Миронов, Валерий Леонидович; Kosolapova, L. G.; Косолапова, Людмила Георгиевна; Savin, I. V.; Савин, Игорь Викторович; Muzalevskiy, K. V.; Музалевский, Константин Викторович; Geoscience and Remote Sensing Symposium(2015 ; jul ; 26-31 ; Milan, Italy)
}
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