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Вид документа : Статья из журнала
Шифр издания :
Автор(ы) : Mironov V. L., Savin I. V.
Заглавие : A temperature-dependent multi-relaxation spectroscopic dielectric model for thawed and frozen organic soil at 0.05–15 GHz
Место публикации : Phys. Chem. Earth: PERGAMON-ELSEVIER SCIENCE LTD, 2015. - Vol. 83–84: Emerging science and applications with microwave remote sensing data. - P.57-64. - ISSN 1474-7065, DOI 10.1016/j.pce.2015.02.011
Примечания : Cited References: 14. - The study was supported by the Russian Science Foundation (project 14-17-00656).
Предметные рубрики: ARCTIC SOIL
BOREAL
Ключевые слова (''Своб.индексиров.''): 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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Вид документа : Статья из журнала
Шифр издания :
Автор(ы) : Ружичка, Зденек, Музалевский, Константин Викторович
Заглавие : Bеб-гис сайт для мониторинга влажности и температуры арктических почв используя данные космического аппарата SMOS
Коллективы : "Региональные проблемы дистанционного зондирования Земли", международная конференция (2014 ; сент. ; 23-26; Красноярск)
Место публикации : Регион. пробл. дистанц. зондиров. Земли: матер. международной науч. конф./ науч. ред. Е. А. Ваганов. - Красноярск: СФУ, 2014. - С. 237-290. - ISSN 978-5-7638-3109-2
Примечания : Работа вполнена в рамках проекта Президиума РАН «Разработка научных основ космического мониторинга влажности и температуры в деятельном слое почвенного покрова арктической тундры
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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Вид документа : Статья из сборника (однотомник)
Шифр издания :
Автор(ы) : Bobrov P. P., Mironov V. L., Yashchenko A. S., Kosolapova L. G.
Заглавие : Comparison of Two Retrieval Soil Moisture Algorithms on SMOS Data
Коллективы : IEEE International Geoscience and Remote Sensing Symposium (2012 ; July ; 22-27; Munich, Germany)
Место публикации : IEEE International Geoscience and Remote Sensing Symposium (IGRASS): Proceedings. - Munich, 2012. - С. 1131-1134. - ISBN 978-1-4673-1159-5, DOI 10.1109/IGARSS.2012.6351349
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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Вид документа : Статья из сборника (однотомник)
Шифр издания :
Автор(ы) : Ruzicka Z., Muzalevskiy K. V.
Заглавие : Database Approach To Develop And Validate the Soil Moisture and Temperature Retrieval Algorithm Using SMOS Radiometric Data
Место публикации : International Siberian Conference on Control and Communications (SIBCON) (MAY 21-23, 2015, Omsk, RUSSIA): IEEE, 2015. - ISBN 978-1-4799-7103-9
Примечания : Cited References:0
Ключевые слова (''Своб.индексиров.''): 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.
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Вид документа : Статья из сборника (однотомник)
Шифр издания :
Автор(ы) : Ruzicka Z., Muzalevskiy K. V.
Заглавие : Database approach to develop and validate the Soil Moisture and temperature retrieval algorithm using SMOS radiometric data
Коллективы : International Siberian Conference on Control and Communications
Место публикации : Int. Sib. Conf. on Control and Communicat. (SIBCON 2015): Proceedings: IEEE-Institute Electrical and Electronics Engineers, 2015. - ISBN 9781479971022 (ISBN), DOI 10.1109/SIBCON.2015.7146965
Ключевые слова (''Своб.индексиров.''): 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.
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Вид документа : Статья из журнала
Шифр издания :
Автор(ы) : Muzalevskiy K. V., Ruzicka Z.
Заглавие : Detection of soil freeze/thaw states in the Arctic region based on combined SMAP and AMSR-2 radio brightness observations
Коллективы : SB RAS Program [0356-2019-0004]
Место публикации : Int. J. Remote Sens. - 2020. - Vol. 41, Is. 14. - P.5046-5061. - ISSN 0143-1161, DOI 10.1080/01431161.2020.1724348. - ISSN 1366-5901(eISSN)
Примечания : Cited References: 36. - This study was funded by the SB RAS Program (project No. 0356-2019-0004).
Предметные 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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Вид документа : Статья из сборника (однотомник)
Шифр издания :
Автор(ы) : Muzalevskiy K. V., Lukin Y. I.
Заглавие : Effects of organo-mineral structure of arctic topsoil on the own thermal radiation in the L-band
Коллективы : International Siberian Conference on Control and Communications
Место публикации : Int. Sib. Conf. on Control and Communicat. (SIBCON 2015): Proceedings: IEEE-Institute Electrical and Electronics Engineers, 2015. - ISBN 9781479971022 (ISBN), DOI 10.1109/SIBCON.2015.7147152
Ключевые слова (''Своб.индексиров.''): 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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Вид документа : Статья из сборника (однотомник)
Шифр издания :
Автор(ы) : Muzalevskiy K. V., Lukin Y. I.
Заглавие : Effects of Organo-Mineral Structure of Arctic Topsoil on the Own Thermal Radiation in the L-band
Место публикации : International Siberian Conference on Control and Communications (SIBCON) (MAY 21-23, 2015, Omsk, RUSSIA): IEEE, 2015. - ISBN 978-1-4799-7103-9
Примечания : Cited References:5
Ключевые слова (''Своб.индексиров.''): 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.
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Вид документа : Статья из сборника (однотомник)
Шифр издания :
Автор(ы) : Mironov V. L., Kosolapova L. G., Demontoux F.
Заглавие : Error of Moisture Retrieving from the SMOS Radiobrightness with the Use of the Temperature Dependable Soil Dielectric Model
Коллективы : Progress In Electromagnetics Research Symposium
Серия: PIERS 2011 Suzhou - Progress in Electromagnetics Research Symposium, Proceedings
Место публикации : Proc. PIER. - 2011. - С. 709-711
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10.

Вид документа : Статья из журнала
Шифр издания :
Автор(ы) : Mironov V. L., Kerr Y ., Wigneron J.-P., Kosolapova L.-G., Demontoux F., Duffour С.
Заглавие : Error of Moistures Retrieved From еhe Smos Radiobrightnesses, Being Induced by a Soil Dielectric Model Employed
Место публикации : Известия высших учебных заведений. Физика. - 2010. - Т. 53, № 9/3. - С. 317-320
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11.

Вид документа : Статья из журнала
Шифр издания :
Автор(ы) : Wigneron J. P., Chanzy A., Kerr Y. H., Lawrence H., Shi J. C., Escorihuela M. J., Mironov V. L., Mialon A., Demontoux F., de Rosnay P., Saleh-Contell K.
Заглавие : Evaluating an improved parameterization of the soil emission in L-MEB
Коллективы : Workshop on Remote Sensing and Modeling of Surface Properties (2nd; Jun 09-11, 2009; Toulouse, France)
Место публикации : IEEE Trans. Geosci. Remote Sensing: IEEE-Institute Electrical and Electronics Engineers, 2011. - Vol. 49, Is. 4. - P.1177-1189. - ISSN 0196-2892, DOI 10.1109/TGRS.2010.2075935
Примечания : Cited References: 26
Предметные рубрики: BAND MICROWAVE EMISSION
SURFACE-ROUGHNESS
1.4 GHZ
MODEL
MOISTURE
LAND
RADIOMETER
FREQUENCY
FIELDS
SPACE
Ключевые слова (''Своб.индексиров.''): 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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12.

Вид документа : Статья из сборника (однотомник)
Шифр издания :
Автор(ы) : Mironov V. L., Muzalevskiy K. V., Anna S.
Заглавие : Measuring soil temperature and moisture of arctic tundra based on SMOS and ALOS PALSAR data
Коллективы : International Siberian Conference on Control and Communications
Место публикации : Int. Sib. Conf. on Control and Communicat.: Proceedings: IEEE-Institute Electrical and Electronics Engineers, 2015. - ISBN 978-1-4799-7102-2, DOI 10.1109/SIBCON.2015.7147154
Ключевые слова (''Своб.индексиров.''): 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.
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13.

Вид документа : Статья из сборника (однотомник)
Шифр издания :
Автор(ы) : Mironov V. L., Shvaleva A., Muzalevskiy K. V.
Заглавие : Measuring Soil Temperature and Moisture of Arctic Tundra Based on SMOS and ALOS PALSAR data
Место публикации : International Siberian Conference on Control and Communications (SIBCON) (MAY 21-23, 2015, Omsk, RUSSIA): IEEE, 2015. - ISBN 978-1-4799-7103-9
Примечания : Cited References:11
Предметные рубрики: MODEL
Ключевые слова (''Своб.индексиров.''): 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.
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14.

Вид документа : Статья из сборника (однотомник)
Шифр издания :
Автор(ы) : Muzalevskiy K. V., Ruzicka Z.
Заглавие : Measuring temperature profile using multi-frequency microwave radiometric observation-theoretical modeling
Коллективы : International Siberian Conference on Control and Communications
Место публикации : Int. Sib. Conf. on Control and Communicat. (SIBCON 2015): Proceedings: IEEE-Institute Electrical and Electronics Engineers, 2015. - ISBN 9781479971022 (ISBN), DOI 10.1109/SIBCON.2015.7147153
Ключевые слова (''Своб.индексиров.''): 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.
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15.

Вид документа : Статья из сборника (однотомник)
Шифр издания :
Автор(ы) : Muzalevskiy K. V., Ruzhecka Z.
Заглавие : Measuring Temperature Profile Using Multi-Frequency Microwave Radiometric Observation-Theoretical Modeling
Место публикации : International Siberian Conference on Control and Communications (SIBCON) (MAY 21-23, 2015, Omsk, RUSSIA): IEEE, 2015. - ISBN 978-1-4799-7103-9
Примечания : Cited References:8
Предметные рубрики: ARCTIC SOIL
BOREAL
Ключевые слова (''Своб.индексиров.''): 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.
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16.

Вид документа : Статья из журнала
Шифр издания :
Автор(ы) : Wigneron J. -P., Jackson T. J., O'Neill P., De Lannoy G., de Rosnay P., Walker J. P., Ferrazzoli P., Mironov V. L., 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.
Заглавие : 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
Место публикации : Remote Sens. Environ.: Elsevier, 2017. - Vol. 192. - P.238-262. - ISSN 00344257 (ISSN), DOI 10.1016/j.rse.2017.01.024
Примечания : 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.
Ключевые слова (''Своб.индексиров.''): 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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17.

Вид документа : Статья из сборника (однотомник)
Шифр издания :
Автор(ы) : Bobrov P.P., Kondratieva O.V., Mironov V.L., Shvetsov E., Sukhinin A.I., Yashchenko A.S.
Заглавие : Results of the SMOS Data Validation over a Steppe and Forest Area in Siberia
Коллективы : Progress In Electromagnetics Research Symposium
Место публикации : Proc. PIER. - 2011. - С. 55-58
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18.

Вид документа : Статья из журнала
Шифр издания :
Автор(ы) : Mironov V. L., Muzalevskiy K. V., Ruzicka Z.
Заглавие : Retrieving profile temperatures in a frozen topsoil near the TFS, Alaska, based on SMOS brightness temperatures at the 1.4-GHz frequency
Коллективы : Russian Science Foundation [4-17-00656]
Место публикации : IEEE Trans. Geosci. Remote Sensing/ funding agency: IEEE-Institute Electrical and Electronics Engineers, 2016. - Vol. 54, Is. 12. - P.7331-7338. - ISSN 0196-2892, DOI 10.1109/TGRS.2016.2599272. - ISSN 1558-0644(eISSN)
Примечания : Cited References:25. - This work was supported by the Russian Science Foundation through Project 4-17-00656.
Предметные рубрики: DIELECTRIC MODEL
ARCTIC SOIL
SURFACE
BOREAL
TUNDRA
GHZ
Ключевые слова (''Своб.индексиров.''): 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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19.

Вид документа : Статья из журнала
Шифр издания :
Автор(ы) : Muzalevskiy K. V., Mikhaylov M. I., Mironov V. L., Ruzicka Z.
Заглавие : Retrieving Soil Moisture and temperature using SMOS observations at a test site in the Yamal Peninsular
Коллективы : IEEE International Geoscience and Remote Sensing Symposium
Место публикации : IEEE J. Sel. Top. Appl. Earth Observ. Remote Sens.: Proc.: IEEE-Institute Electrical and Electronics Engineers, 2016. - P.4932 - 4935. - ISSN 978-1-5090-3332-4, DOI 10.1109/IGARSS.2016.7730287. - ISSN 2153-7003 (eISSN)
Примечания : The study was performed thanks to a grant from the Russian Science Foundation (project No 14-17-00656).
Ключевые слова (''Своб.индексиров.''): 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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20.

Вид документа : Статья из журнала
Шифр издания :
Автор(ы) : Mironov V. L., Zdenek R., Muzalevskiy K. V.
Заглавие : Retrieving soil moisture at a test site on the Yamal peninsula from SMOS multi-angular brightness temperature observations
Коллективы : Living Planet Symposium 2016
Место публикации : European Space Agency (Special Publication) ESA SP: Conf. proc. - 2016. - Vol. SP-740. - ISSN 03796566 (ISSN); 9789292213053 (ISBN)
Ключевые слова (''Своб.индексиров.''): 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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