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Fomin, S. V.
A dielectric model for frozen mineral soils at a frequency of 435 MHz / S. Fomin, K. Muzalevskiy // Remote Sens. Lett. - 2021. - Vol. 12, Is. 9. - P. 944-950, DOI 10.1080/2150704X.2021.1947537. - Cited References: 16. - This work was supported by the state assignment of the Ministry of Science and Higher Education of the Russian Federation [project No. 0287-2021-0034] . - ISSN 2150-704X
Кл.слова (ненормированные):
Mean square error -- Mixer circuits -- Permittivity -- Remote sensing -- Soil moisture -- Soil surveys -- Coefficient of determination -- Complex relative permittivity -- Dielectric measurements -- Practical engineering -- Retrieval algorithms -- Root mean square errors -- Spectroscopic models -- Volumetric soil moistures -- Frozen soils
Аннотация: A single frequency refractive mixing dielectric model at 435 MHz for frozen mineral soils is proposed. The model was created based on the laboratory dielectric measurements of three soil samples in the ranges of soil moisture from 0.01cm3 cm−3 to 0.42cm3 cm−3, temperature from– 30°C to– 1°C, clay content (by weight) from 9.1% to 41.3%. Coefficient of determination R2 and root mean square error (RMSE) predicted by the model and measured values for real () and imaginary () part of the complex relative permittivity (CRP) are = 0.988 (= 0.323) and = 0.987 (= 0.100). Compared to well-known spectroscopic models, this model is simpler in practical engineering use. The input parameters of the model are the volumetric soil moisture, temperature and the content of the clay fraction. The output parameters are the real and imaginary parts of the CRP. The created model may be used to develop new remote sensing retrieval algorithms of temperature, the content of unfrozen water and ice in the root zone of frozen soils for northern regions.ε 'ε ''R2ε 'RMSEε 'R2ε ''RMSEε ''

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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, Russian Federation

Доп.точки доступа:
Muzalevskiy, K. V.; Музалевский, Константин Викторович; Фомин, Сергей Викторович
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    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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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, Russian Federation

Доп.точки доступа:
Музалевский, Константин Викторович
}
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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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    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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Muzalevskiy, K. V.
Application of Sentinel-1B polarimetric observations to soil moisture retrieval using neural networks: Case study for bare Siberian chernozem soil / K. Muzalevskiy, A. Zeyliger // Remote Sens. - 2021. - Vol. 13, Is. 17. - Ст. 3480, DOI 10.3390/rs13173480. - Cited References: 21. - This work was supported by the Russian Foundation for Basic Research (grant No. 19-29-05261 mk). The field experiment and EC-5 Decagon sensor calibration in laboratory conditions were carried out with the support of Ministry of Science and Higher Education of the Russian Federation, project No. 0287-2021-0034 (basic state assignment) . - ISSN 2072-4292

РУБ Environmental Sciences + Geosciences, Multidisciplinary + Remote Sensing + Imaging Science & Photographic Technology
Рубрики:
SURFACE
   MODEL
   PARAMETERS
   ROUGHNESS
   INVERSION
   DUBOIS
   IEM
   OH
Кл.слова (ненормированные):
microwave remote sensing -- Sentinel-1 -- bare soil -- soil moisture -- soil permittivity
Аннотация: Sentinel-1 is currently the only synthetic-aperture radar, which radar measurements of the earth’s surface to be carried out, regardless of weather conditions, with high resolution up to 5–40 m and high periodicity from several to 12 days. Sentinel-1 creates a technological platform for the development of new globally remote sensing algorithms of soil moisture, not only for hydrological and climatic model applications, but also on a single field scale for individual farms in precision farming systems used. In this paper, the potential of soil moisture remote sensing using polarimetric Sentinel-1B backscattering observations was studied. As a test site, the fallow agricultural field with bare soil near the Minino village (56.0865°N, 92.6772°E), Krasnoyarsk region, the Russian Federation, was chosen. The relationship between the cross-polarized ratio, reflectivity, and the soil surface roughness established Oh used as a basis for developing the algorithm of soil moisture retrieval with neural networks (NNs) computational model. Two NNs is used as a universal regression technique to establish the relationship between scattering anisotropy, entropy and backscattering coefficients measured by the Sentinel-1B on the one hand and reflectivity on the other. Finally, the soil moisture was found from the soil reflectivity in solving the inverse problem using the Mironov dielectric model. During the field campaign from 21 May to 25 August 2020, it was shown that the proposed approach allows us to predict soil moisture values in the layer thickness of 0.00–0.05 m with the root-mean-square error and determination coefficient not worse than 3% and 0.726, respectively. The validity of the proposed approach needs additional verification on a wider dataset using soils of different textures, a wide range of variations in soil surface roughness, and moisture.

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Держатели документа:
Russian Acad Sci, Lab Radiophys Earth Remote Sensing, Kirensky Inst Phys, Fed Res Ctr KSC,Siberian Branch, Krasnoyarsk 630090, Russia.
Russian State Agr Univ, Dept Appl Informat, Moscow Timiryazev Agr Acad, Moscow 127550, Russia.

Доп.точки доступа:
Zeyliger, Anatoly; Музалевский, Константин Викторович; Russian Foundation for Basic ResearchRussian Foundation for Basic Research (RFBR) [19-29-05261 mk]; Ministry of Science and Higher Education of the Russian Federation [0287-2021-0034]
}
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    Ружичка, Зденек.
    Bеб-гис сайт для мониторинга влажности и температуры арктических почв используя данные космического аппарата SMOS [Текст] / З. Ружичка, К. В. Музалевский // Регион. пробл. дистанц. зондиров. Земли : матер. международной науч. конф. - 2014. - С. 237-290. - Работа вполнена в рамках проекта Президиума РАН «Разработка научных основ космического мониторинга влажности и температуры в деятельном слое почвенного покрова арктической тундры . - ISSN 978-5-763
   Перевод заглавия: Web-gis application for temperature and moisture monitoring of the arctic tundra soils based on SMOS data
Аннотация: В данной статье описываются результаты, полученные в ходе выполнения проекта по созданию Веб-ГИС сайта, который позволяет осуществлять быстрый просмотр, обработку, временной и пространственный мониторинг данных о температуре и влажности почвы, полученные на основе измерений комическим аппаратом SMOS продукт Level-1. В настоящее время функциональность сайта ограничена и в дальнейшем будет расширяться. В данной статье описаны возможности веб-сайта и его архитектура на данный момент.

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Держатели документа:
Институт физики им. Л.В. Киренского СО РАН

Доп.точки доступа:
Ваганов, Евгений Александрович \науч. ред.\; Музалевский, Константин Викторович; Muzalevskiy, K. V.; Ruzicka, Z.; "Региональные проблемы дистанционного зондирования Земли", международная конференция (2014 ; сент. ; 23-26 ; Красноярск)
}
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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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Ruzicka, Z.
Database Approach To Develop And Validate the Soil Moisture and Temperature Retrieval Algorithm Using SMOS Radiometric Data / Z. Ruzicka, K. V. Muzalevskiy // International Siberian Conference on Control and Communications (SIBCON) (MAY 21-23, 2015, Omsk, RUSSIA) : IEEE, 2015. - Cited References:0 . - ISBN 978-1-4799-7103-9
Кл.слова (ненормированные):
Database management system -- SMOS -- Arctic tundra -- Soil temperature -- Soil -- moisture
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.

WOS

Доп.точки доступа:
Muzalevskiy, K. V.; Музалевский, Константин Викторович; Ружичка, Зденек
}
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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.

Scopus

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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10.

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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11.

    Savin, I. V.
    Dielectric Model for Thawed Organic Soils at Frequency of 435 MHz / I. V. Savin, K. V. Muzalevskiy // IEEE Geosci. Remote Sens. Lett. - 2021. - Vol. 18. Is. 2. - P. 218-221, DOI 10.1109/LGRS.2020.2975027. - Cited References: 16 . - ISSN 1545-598X. - ISSN 1558-0571
   Перевод заглавия: Диэлектрическая модель талых органических почв на частоте 435 МГц
Кл.слова (ненормированные):
BIOMASS ESA -- dielectric model -- moisture -- organic soil -- P-band -- temperature
Аннотация: To date, models describing the complex dielectric constant (CDC) of tundra soils with different contents of organic matter (more than 30%) in the P-band were poorly reported and not developed. In this letter, a refractive dielectric model for moist organic soils at a frequency of 435 MHz was developed. The model was developed on the basis of dielectric measurements of five samples of organic soils with different organic content from 35% to 80% and the soil moisture from air-dry to field capacity at a temperature of 20 °C. The developed model is a function of only two parameters, namely, the organic content by weight and volumetric soil moisture. The new model and future BIOMASS mission will be creating the bases for developing new soil moisture profile retrieving algorithms in the root zone.

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Держатели документа:
Kirensky Institute of Physics, 660036 Krasnoyarsk, Russia

Доп.точки доступа:
Muzalevskiy, K. V.; Музалевский, Константин Викторович; Савин, Игорь Викторович
}
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12.

    Mironov, V. L.
    Dielectric model in the frequency range 0.05 to 15 GHz at temperatures −30°C to 25°C for the samples of organic soils and litter collected in Alaska, Yamal, and Siberian Taiga / V. L. Mironov, I. V. Savin, A. Yu. Karavaysky // IEEE J. Sel. Top. Appl. Earth Observ. Remote Sens. : Proc. - 2016. - P. 2684-2687, DOI 10.1109/IGARSS.2016.7729693 . - ISSN 978-1-509. - ISSN 2153-7003
   Перевод заглавия: Диэлектрическая модель в частотном диапазоне от 0.05 до 15 ГГц при температурах от -30°C до 25°C для образцов органических почв и хвойного опада собранных на Аляске, Ямале и в Сибирской тайге
Кл.слова (ненормированные):
remote sensing -- Organic soil -- moisture -- temperature -- dielectric model -- thawed and frozen soil
Аннотация: We prove the possibility of creating a temperature dependent multi-relaxation spectroscopic dielectric model (TD MRSDM) for a set of organic soil containing 50% (Yamal tundra), 80% (Alaskan tundra) and 90% (boreal pine litter) of organic solids. The created model is based on the previously developed TD MRSDM for the Yamal tundra soil complemented with specific temperature dependences for the hydrological parameters pertaining for each specific soil. At that, the same values for spectroscopic and thermodynamic parameters of the TD MRSDM can be applied, as those were previously obtained in the case of the Yamal tundra soil. The statistical evaluation of the errors for the predicted values of complex dielectric permittivity in the cases of both the thawed and frozen soils with respect to the measured values were carried out. The standard deviations calculated for the Alaskan soil and the Siberian boreal litter appeared to be on the same order as the ones pertaining to the Yamal tundra soil.

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Доп.точки доступа:
Savin, I. V.; Савин, Игорь Викторович; 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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13.

Mironov, V. L.
Dielectric model of a mineral arctic soil thawed and frozen at 0.05-15 GHz / V. L. Mironov, I. P. Molostov, V. V. Scherbinin // Int. Sib. Conf. on Control and Communicat. (SIBCON 2015) : Proceedings : IEEE-Institute Electrical and Electronics Engineers, 2015. - P. 1-7, DOI 10.1109/SIBCON.2015.7147146
Кл.слова (ненормированные):
Arctic regions -- dielectric model -- dielectric relaxation -- remote sensing -- soil -- temperature dependence -- Dielectric relaxation -- Moisture -- Remote sensing -- Soil moisture -- Soils -- Temperature -- Temperature distribution -- Thawing -- Thermodynamics -- Active and passive remote sensing -- Arctic regions -- Complex dielectric constant -- Dielectric modeling -- Soil dielectric constant -- Spectroscopic parameters -- Temperature dependence -- Thermodynamics parameters -- Soil surveys
Аннотация: The dielectric model for an arctic soil both thawed and frozen has been developed. The model is based on the soil dielectric measurements carried out in the ranges of gravimetric moisture from 0.01 to 0.43 g/g, dry soil density from 1.25 to 1.83 g/cm3, and temperature from 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 for the bound, transient bound, and unbound soil water components were derived, being further complimented with the thermodynamics parameters to ensure a complete set of parameters of the temperature dependent multi-relaxation spectroscopic dielectric model for moist soils proposed. To calculate complex dielectric constant of soil, the following input variables have to be assigned: 1) density of dry soil, 2) gravimetric moisture, 3) wave frequency, and 4) temperature. The error of the dielectric model was evaluated in terms of RMSE, yielding the values RMSE of 0.53 and 0.43 for the soil dielectric constant and loss factor, respectively. These values appeared to be in the order of the dielectric measurement error itself. The dielectric model suggested can be applied in the active and passive remote sensing techniques in microwave to develop algorithms for retrieving soil moisture and freeze/thaw state of the topsoil in the Arctic regions. © 2015 IEEE.

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Доп.точки доступа:
Molostov, I. P.; Scherbinin, V. V.; Щербинин, Всеволод Владиславович; Миронов, Валерий Леонидович; International Siberian Conference on Control and Communications(11 ; 2015 ; May 21-23 ; Omsk)
}
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14.

Mironov, V. L.
Dielectric model of thawed and frozen organic soil at the AMSR radiometer frequency / V. L. Mironov, L. G. Kosolapova, I. V. Savin // Izv. Atmos. Ocean Phys. - 2021. - Vol. 57, Is. 12. - P. 1783-1788, DOI 10.1134/S0001433821120318. - Cited References: 10 . - ISSN 0001-4338
Кл.слова (ненормированные):
organic soil -- moisture -- dielectric model -- thawed and frozen soil -- AMSR radiometer -- 6.9 GHz
Аннотация: In this paper, we develop a simple single-frequency dielectric model of thawed and frozen arctic soil for a frequency of 6.9 GHz. The model is developed based on laboratory dielectric measurements of soil samples containing 80–90% organic matter in the range of gravimetric moisture from 0.01 to 0.942 g/g (volumetric moisture ranging from 0.007 to 0.573 cm3/cm3), and temperatures from +25 to –30°C in the freeze mode. A refractive mixture model is used as a regression equation for the measured values of the complex soil refractive index depending on moisture. The complex refractive indices of various soil components (mineral-organic , bound, transitional, and free water (ice for frozen soil)), as well as values for the maximum allowable content of bound and transitional water in the soil at all measured temperatures, are determined using the regression analysis. The empirical dependences of the complex refractive index of soil components and the maximal allowable contents of various types of water in soil on temperature are obtained. As a result, we developed a model that allows calculating the permittivity of thawed and frozen organic soil as a function of moisture and temperature at 6.9 GHz. The root-mean-square error was 0.20 for the real part of the complex dielectric permittivity of the soil and 0.22 for the imaginary part at the determination coefficient values of 0.999 and 0.995, respectively.

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Публикация на русском языке Миронов, Валерий Леонидович. Диэлектрическая модель талой и мерзлой органической почвы на частоте радиометра AMSR [Текст] / В. Л. Миронов, Л. Г. Косолапова, И. В. Савин // Исслед. Земли из космоса. - 2015. - № 5. - С. 9-15

Держатели документа:
Kirensky Institute of Physics, Siberian Branch, Russian Academy of Sciences, Krasnoyarsk, 660036, Russian Federation

Доп.точки доступа:
Kosolapova, L. G.; Косолапова, Людмила Георгиевна; Savin, I. V.; Савин, Игорь Викторович; Миронов, Валерий Леонидович
}
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15.

Karavaisky, A. Yu.
Dielectric model of the upper organic layer of forest soils for a frequency of 435 MHz / A. Yu. Karavaisky, Y. I. Lukin // Izv. Atmos. Ocean. Phys. - 2023. - Vol. 59, Is. 9. - P. 1208-1219, DOI 10.1134/S0001433823090104. - Cited References: 57. - We are grateful to Cand. Sci. (Phys.–Math.) K.V. Muzalevskii, Head of the Laboratory of Remote Sensing Radiophysics, for supporting this work, as well as to I.V. Savin for selecting the studied soil samples. - The study was performed within the framework of the state assignment of the Ministry of Science and Higher Education of Russia, project no. 0287-2021-0034 . - ISSN 0001-4338. - ISSN 1555-628X
Кл.слова (ненормированные):
dielectric model -- moisture -- temperature -- organic soil -- frozen soil -- thawed soil
Аннотация: A dielectric model based on the refractive dielectric model of the mixture of thawed and frozen forest organic soils in the root zone for a frequency of 435 MHz has been developed. The model is created on the basis of dielectric measurements of four soils whose organic matter content varies in the range from 15 to 31%. The dielectric measurements are carried out in the range of the gravimetric moisture from 0 to 0.6 g/g and temperature range from –30 to 25°C. The coefficient of determination (R2) between values calculated by themodel and measured values of the real (ε') and imaginary (ε'') parts of complex dielectric permittivity is 0.97. The normalized root-mean-square error is 16 and 21% for the real and imaginary parts of the complex dielectric permittivity, respectively. This dielectric model may be applied in remote sensing algorithms when retrieving the value of forest soil moisture in the root zone from radar and radiometric data.

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Публикация на русском языке Каравайский, Андрей Юрьевич. Диэлектрическая модель верхнего органического слоя лесных почв для частоты 435 МГц [Текст] / А. Ю. Каравайский, Ю. И. Лукин. - 16 с. // Исслед. Земли из космоса. - 2023. - № 3. - С. 81-96

Держатели документа:
Kirensky Institute of Physics, Siberian Branch, Russian Academy of Sciences, Krasnoyarsk, 660036 Russia

Доп.точки доступа:
Lukin, Y. I.; Лукин, Юрий Иванович; Каравайский, Андрей Юрьевич
}
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16.

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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17.

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

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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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18.

    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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19.

    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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20.

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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