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Вид документа : Статья из журнала
Шифр издания :
Автор(ы) : Muzalevskiy K. V.
Заглавие : A new method for remote sensing of moisture profiles in the arable layer at three frequencies; experimental case study
Место публикации : Int. J. Remote Sens. - 2021. - Vol. 42, Is. 7. - P.2377-2390. - ISSN 01431161 (ISSN), DOI 10.1080/01431161.2020.1851795
Примечания : 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
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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Вид документа : Статья из журнала
Шифр издания :
Автор(ы) : Mironov V. L., Kerr Y. H., Kosolapova L. G., Savin I. V., Muzalevskiy K. V.
Заглавие : A temperature-dependent dielectric model for thawed and frozen organic soil at 1.4 GHz
Коллективы : Russian Science Foundation [14-17-00656]
Место публикации : IEEE J. Sel. Top. Appl. Earth Observ. Remote Sens.: IEEE-Institute Electrical and Electronics Engineers, 2015. - Vol. 8, Is. 9. - P.4470-4477. - ISSN 1939-1404, DOI 10.1109/JSTARS.2015.2442295. - ISSN 2151-1535
Примечания : Cited References:19. - This work was supported in part by a grant from the Russian Science Foundation under Project 14-17-00656
Предметные рубрики: moisture retrieval algorithm
active layer
validation
Ключевые слова (''Своб.индексиров.''): 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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Вид документа : Статья из сборника (однотомник)
Шифр издания :
Автор(ы) : Mironov V. L., Savin I. V., Muzalevskiy K. V.
Заглавие : A temperature-dependent multi-relaxation spectroscopic dielectric model for thawed and frozen organic soil at 0.05-15 Ghz
Коллективы : Geoscience and Remote Sensing Symposium
Место публикации : Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International. - 2015. - P.2031-2034. - DOI 10.1109/IGARSS.2015.7326198
Аннотация: The dielectric model for an arctic organic-rich soil collected on the Yamal peninsula (50% of organic matter) both thawed and frozen has been developed. The model is based on the soil dielectric measurements carried out in the ranges of gravimetric moisture 0.03 to 0.55 g/g, dry soil density 0.72 to 0.87 g/cm3, and temperature 25 to −30°C (cooling run), in the frequency range 0.05–15 GHz. To fit the results of measurements of the soil complex dielectric constant as a function of soil moisture and wave frequency, the refractive mixing dielectric model in conjunction with the Debye multi-relaxation equations were applied. As a result, the spectroscopic parameters of dielectric relaxations and electrical specific conductivities for the bound, transient bound, and unbound soil water components were derived, being further complimented with the thermodynamics parameters. Having these parameters, the complex dielectric constant of soil can be predicted as a function of 1) density of dry soil, 2) gravimetric moisture, 3) wave frequency, and 4) temperature1.
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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 (Препринт)
Шифр издания :
Автор(ы) : Muzalevskiy K. V., Ruzicka Z., Roy, Alexandre, Loranty, Michael, Vasiliev, Alexander
Заглавие : Brief communication: Classification of thawed/frozen topsoil state by spectral gradient methods based on SMAP and GCOM-W1 radiometric data
Место публикации : EGUsphere. - 2022. - preprint. - DOI 10.5194/egusphere-2022-224
Примечания : Cited References: 19
Аннотация: From 2015 to 2020, using spectral gradient radiometric methods, the possibility of frozen/thawed state identification of tundra soils was investigated based on SMAP and GCOM-W1 satellite observations of ten test sites located in the Arctic regions of Canada, Finland, Russia, and U.S. It is shown that the spectral gradients of brightness temperature and reflectivity, measured on the frequency range from 1.4 GHz to 36.5 GHz on horizontal polarization with a determination coefficient from 0.775 to 0.834, root-mean-square-error from 6.6 days to 10.7 days, and bias from -3.4 days to +6.5 days, make it possible to identify the thawed/frozen state of the tundra soils. Spectral gradient methods have a significantly higher accuracy for identification of frozen and thawed state of tundra soils in relation to single-frequency methods based on the calculation of polarization index.
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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 журнала
Шифр издания :
Автор(ы) : Mironov V. L., Muzalevskiy K. V.
Заглавие : Impact of a freezing topsoil on determining the Arctic tundra surface deformation using InSAR
Коллективы : International Siberian Conference on Control and Communications
Место публикации : Int. Sib. Conf. on Control and Communicat.: Proc.: IEEE, 2013. - Ст.6693624. - ISSN 978-1-4799-1062-5, DOI 10.1109/SIBCON.2013.6693624. - ISSN 978-147991060-1
Примечания : Cited References: 8
Ключевые слова (''Своб.индексиров.''): sar interferometry (insar)--smap--alos--permafrost--arctic tundra soil--active layer--freezing--thawing--soil temperature
Аннотация: In this paper, we study the effect of the layered structure of the active topsoil of the Arctic tundra during freezing on the error of determining surface deformation. A simple Bragg scattering model was used for surface scattering modeling. The simulation was performed in the L-band for future radar missions SMAP and ALOS-2. The soil permittivity is calculated using the temperature-dependent generalized refractive mixing dielectric model for the organic rich soil sample collected in North Slope, Alaska (68 degrees 38'N, 149 degrees 35'W). This model predicts the complex dielectric constant of moist soil both thawed and frozen at temperatures from -30 degrees C to +25 degrees C and moistures from 0 to 0.94 g/g. It is shown that the error of determining soil surface deformation, induced by processes of freezing of the permafrost active layer, does not exceed 1.5 cm.
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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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10.

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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