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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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