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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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    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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    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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Держатели документа:
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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    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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Материалы конференции

Доп.точки доступа:
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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Muzalevskiy, K. V.
Effects of Organo-Mineral Structure of Arctic Topsoil on the Own Thermal Radiation in the L-band / K. V. Muzalevskiy, Y. I. Lukin // International Siberian Conference on Control and Communications (SIBCON) (MAY 21-23, 2015, Omsk, RUSSIA) : IEEE, 2015. - Cited References:5 . - ISBN 978-1-4799-7103-9
Кл.слова (ненормированные):
SMOS -- Organic soil -- Mineral soil -- Soil temperature -- Permafrost -- Artic -- tundra
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.

WOS

Доп.точки доступа:
Lukin, Y. I.; Лукин, Юрий Иванович; Музалевский, Константин Викторович
}
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Error of Moisture Retrieving from the SMOS Radiobrightness with the Use of the Temperature Dependable Soil Dielectric Model / V. L. Mironov, L. G. Kosolapova, F. Demontoux // Proc. PIER. - 2011. - P709-711

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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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10.

Error of Moistures Retrieved From еhe Smos Radiobrightnesses, Being Induced by a Soil Dielectric Model Employed / Mironov V.L.Kerr Y. [et al.] // Известия высших учебных заведений. Физика. - 2010. - Т. 53, № 9/3. - P317-320

Доп.точки доступа:
Mironov, V. L.; Миронов Валерий Леонидович; Kerr, Y .; Wigneron, J.-P.; Kosolapova, L.-G.; Demontoux, F.; Duffour, С.
}
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11.

    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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12.

Mironov, V. L.
Measuring soil temperature and moisture of arctic tundra based on SMOS and ALOS PALSAR data / V. L. Mironov, K. V. Muzalevskiy, S. Anna // Int. Sib. Conf. on Control and Communicat. : Proceedings : IEEE-Institute Electrical and Electronics Engineers, 2015, DOI 10.1109/SIBCON.2015.7147154 . - ISBN 978-1-4799-7102-2
Кл.слова (ненормированные):
ALOS PALSAR -- Artic tundra -- permafrost -- SMOS -- Soil moisture -- Soil temperature -- Backscattering -- Balloons -- Landforms -- Luminance -- Mean square error -- Moisture -- Permafrost -- Permittivity -- Radar -- Radar measurement -- Soil moisture -- Soils -- Temperature -- Weather information services -- ALOS PALSAR -- Artic tundra -- Backscatter coefficients -- Brightness temperatures -- Determination coefficients -- Root mean square errors -- SMOS -- Soil temperature -- Soil surveys
Аннотация: In this paper, methods for retrieving soil moisture, roughness, and temperature based on the radar backscatter coefficient (ALOS PALSAR) and brightness temperature (SMOS) data related to a tundra area on the Yamal peninsula were tested. As theoretical models, there were used the semi-empirical backscatter model proposed by Y. Oh et. al and the L-band Microwave Emission of the Biosphere (L-MEB) model proposed by J-P Wigneron et.al. An integral part of these models is a permittivity model of moist soil both thawed and frozen, which links backscatter coefficient and brightness temperature with moisture, temperature, and dry density of the soil as well as the wave frequencies used by the ALOS PALSAR and SMOS. The applied permittivity model was developed based on dielectric measurements conducted for the organic rich soil samples collected at the Vaskiny Dachi weather station located in the area of the radar backscatter and brightness observations. The retrieved temperatures were correlated with the ones measured at the weather station yielding the values of root-mean-square error and determination coefficient of 3.8°C and 0.80, respectively. © 2015 IEEE.

Scopus

Доп.точки доступа:
Muzalevskiy, K. V.; Музалевский, Константин Викторович; Anna, S.; Миронов, Валерий Леонидович; International Siberian Conference on Control and Communications(11 ; 2015 ; May 21-23 ; Omsk)
}
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13.

Mironov, V. L.
Measuring Soil Temperature and Moisture of Arctic Tundra Based on SMOS and ALOS PALSAR data / V. L. Mironov, A. Shvaleva, K. V. Muzalevskiy // International Siberian Conference on Control and Communications (SIBCON) (MAY 21-23, 2015, Omsk, RUSSIA) : IEEE, 2015. - Cited References:11 . - ISBN 978-1-4799-7103-9
Рубрики:
MODEL
Кл.слова (ненормированные):
SMOS -- ALOS PALSAR -- Soil moisture -- Soil temperature -- permafrost -- Artic -- tundra
Аннотация: In this paper, methods for retrieving soil moisture, roughness, and temperature based on the radar backscatter coefficient (ALOS PALSAR) and brightness temperature (SMOS) data related to a tundra area on the Yamal peninsula were tested. As theoretical models, there were used the semi-empirical backscatter model proposed by Y. Oh et. al and the Lband Microwave Emission of the Biosphere (L-MEB) model proposed by J-P Wigneron et. al. An integral part of these models is a permittivity model of moist soil both thawed and frozen, which links backscatter coefficient and brightness temperature with moisture, temperature, and dry density of the soil as well as the wave frequencies used by the ALOS PALSAR and SMOS. The applied permittivity model was developed based on dielectric measurements conducted for the organic rich soil samples collected at the Vaskiny Dachi weather station located in the area of the radar backscatter and brightness observations. The retrieved temperatures were correlated with the ones measured at the weather station yielding the values of root-mean-square error and determination coefficient of 3.8 degrees C and 0.80, respectively.

WOS

Доп.точки доступа:
Shvaleva, A.; Muzalevskiy, K. V.; Музалевский, Константин Викторович; Миронов, Валерий Леонидович
}
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14.

Muzalevskiy, K. V.
Measuring temperature profile using multi-frequency microwave radiometric observation-theoretical modeling / K. V. Muzalevskiy, Z. Ruzicka // Int. Sib. Conf. on Control and Communicat. (SIBCON 2015) : Proceedings : IEEE-Institute Electrical and Electronics Engineers, 2015, DOI 10.1109/SIBCON.2015.7147153 . - ISBN 9781479971022 (ISBN)
Кл.слова (ненормированные):
Artic tundra -- GCOM-W1 -- permafrost -- SMOS -- Soil temperature -- Climate models -- Landforms -- Luminance -- Mean square error -- Permafrost -- Piecewise linear techniques -- Soils -- Temperature -- Temperature control -- Artic tundra -- Brightness temperatures -- Determination coefficients -- GCOM-W1 -- Measurement of temperature -- Root mean square errors -- SMOS -- Soil temperature -- Soil surveys
Аннотация: In this theoretical paper, we propose method for the measurement of temperature profile in the topsoil of Arctic tundra using observations of brightness temperature at frequencies of 1.4, 6.93, 7.3 and 10.7 GHz. A multi-frequency physical model of microwave emission of bare soil and dielectric model of Arctic tundra soil, with temperature profiles, which were measured in the active topsoil with using Toolik climate station on the North Slope of Alaska, were used to calculate "measured" values of brightness temperature. In the approximation of piecewise linear profile of soil temperature, from the 'measured' values of brightness temperature were retrieved temperature profiles and were compared with ones, which were measured at the Toolik station from 2010 to 2011. The retrieved values of soil temperatures at the depth of 0.6cm and 16.0cm deviated from measured ones by 1.3°C and 3.2°C in terms of root-mean-square error, and by 0.92 and 0.62 in terms of determination coefficient, respectively. © 2015 IEEE.

Scopus

Доп.точки доступа:
Ruzicka, Z.; Ружичка, Зденек; Музалевский, Константин Викторович; International Siberian Conference on Control and Communications(11 ; 2015 ; May 21-23 ; Omsk)
}
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15.

    Muzalevskiy, K. V.
    Measuring Temperature Profile Using Multi-Frequency Microwave Radiometric Observation-Theoretical Modeling / K. V. Muzalevskiy, Z. Ruzhecka // International Siberian Conference on Control and Communications (SIBCON) (MAY 21-23, 2015, Omsk, RUSSIA) : IEEE, 2015. - Cited References:8 . - ISBN 978-1-4799-7103-9
Рубрики:
ARCTIC SOIL
   BOREAL
Кл.слова (ненормированные):
SMOS -- GCOM-W1 -- Soil temperature -- permafrost -- Artic tundra
Аннотация: In this theoretical paper, we propose method for the measurement of temperature profile in the topsoil of Arctic tundra using observations of brightness temperature at frequencies of 1.4, 6.93, 7.3 and 10.7 GHz. A multi-frequency physical model of microwave emission of bare soil and dielectric model of Arctic tundra soil, with temperature profiles, which were measured in the active topsoil with using Toolik climate station on the North Slope of Alaska, were used to calculate "measured" values of brightness temperature. In the approximation of piecewise linear profile of soil temperature, from the "measured" values of brightness temperature were retrieved temperature profiles and were compared with ones, which were measured at the Toolik station from 2010 to 2011. The retrieved values of soil temperatures at the depth of 0.6cm and 16.0cm deviated from measured ones by 1.3 degrees C and 3.2 degrees C in terms of root-mean-square error, and by 0.92 and 0.62 in terms of determination coefficient, respectively.

WOS

Доп.точки доступа:
Ruzhecka, Z.; Ружичка, Зденек; Музалевский, Константин Викторович
}
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16.

    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

Доп.точки доступа:
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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17.

Results of the SMOS Data Validation over a Steppe and Forest Area in Siberia [Text] / P. P. Bobrov, O. V. Kondratieva, V. L. Mironov [et al.] // Proc. PIER. - 2011. - P55-58

Доп.точки доступа:
Bobrov, P.P.; Kondratieva, O.V.; Mironov, V.L.; Shvetsov, E.; Sukhinin, A.I.; Yashchenko, A.S.; Progress In Electromagnetics Research Symposium(2011 ; Sept. 12-16 ; Suzhou, China)
}
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18.

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

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

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

Доп.точки доступа:
Muzalevskiy, K. V.; Музалевский, Константин Викторович; Ruzicka, Z.; Ружичка, Зденек; Миронов, Валерий Леонидович; Russian Science Foundation [4-17-00656]
}
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19.

    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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20.

Mironov, V. L.
Retrieving soil moisture at a test site on the Yamal peninsula from SMOS multi-angular brightness temperature observations / V. L. Mironov, R. Zdenek, K. V. Muzalevskiy // European Space Agency (Special Publication) ESA SP : Conf. proc. - 2016. - Vol. SP-740 . - ISSN 0379-6566
Кл.слова (ненормированные):
Luminance -- Moisture -- Soil moisture -- Soils -- Space research -- Temperature -- Brightness temperatures -- Dielectric modeling -- Full polarization -- Japan Aerospace Exploration Agency -- Soil moisture retrievals -- Soil sample -- Standard algorithms -- Test site -- Soil surveys
Аннотация: This paper presents the results of a comparison of soil moisture obtained from the standard algorithms of SMOS and GCOM-W1 with soil moisture retrieved from SMOS multi-angular brightness temperature observations using a dielectric model specially developed for soil samples collected at the test site [1]. For soil moisture retrieval, full polarization brightness temperature product of the Centre Aval de Traitement des Donnees SMOS (CATDS) [2] was used. Standard soil moisture data was obtained from SMOS L3 SM products, provided by the CATDS, and GCOM-W1 L2 SMC products, provided by the Japan Aerospace Exploration Agency (JAXA) [3].

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Доп.точки доступа:
Zdenek, R.; Muzalevskiy, K. V.; Музалевский, Константин Викторович; Миронов, Валерий Леонидович; Living Planet Symposium 2016(9 - 13 May 2016 ; Prague, Czech Republic)
}
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