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Вид документа : Статья из журнала
Шифр издания :
Автор(ы) : Mironov V. L., Karavayskiy A. Yu., Lukin Y. I., Molostov I. P.
Заглавие : A dielectric model of thawed and frozen Arctic soils considering frequency, temperature, texture and dry density
Место публикации : Int. J. Remote Sens. - 2020. - Vol. 41, Is. 10. - P.3845-3865. - ISSN 0143-1161, DOI 10.1080/01431161.2019.1708506. - ISSN 1366-5901 (eISSN)
Примечания : Cited References: 39
Аннотация: A dielectric model was developed for thawed and frozen mineral soils, based on the refractive mixing dielectric formula and the dielectric measurement data for three soils collected in the Arctic tundra of the Yamal Peninsula. The refractive mixing dielectric model was used in conjunction with the Debye multi relaxation equations as a theoretical model to fit the measured complex relative permittivity spectra as a function of soil moisture and temperature. As a result, the dielectric spectroscopic parameters for the various components of water in the soil, such as the low- and high-frequency limits of the complex relative permittivity, the times of the corresponding relaxations, and the specific conductivity, were simultaneously determined for soils with different clay contents for all measured temperatures. As the theoretical temperature dependences of these parameters, the Clausius–Mossotti, Eyring, and linear equations for the conductivity were used. By using approximations of the measured data with these formulas, the parameters of the temperature-dependent model were derived, such as the coefficient of volume expansion, energy and entropy of activation, and coefficient of thermal conductivity. A set of the parameters discussed above in conjunction with the refractive mixing formula is a temperature- and mineralogically dependent multi-relaxation spectroscopic dielectric model, which enables estimation of the permittivity of moist soils as a function of dry soil density, moisture, frequency, temperature, and texture. The statistical error of the proposed dielectric model was estimated in terms of the normalized root-mean-square error (nRMSE), which was equal to 5% and 25% for the dielectric constant and dielectric loss factor, respectively.
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Вид документа : Статья из сборника (однотомник)
Шифр издания :
Автор(ы) : Tarasov I. A., Visotin M. A., Kuznetsova T. V., Solovyov L. A., Fedorov A. S., Yakovlev I. A., Tarasov A. S., Varnakov S. N., Ovchinnikov S. G.
Заглавие : A way for targeted synthesis of higher manganese silicides: a new Mn17Si3O phase and its distinctive features
Коллективы : Federal Research Center KSC SB RAS, Kirensky Institute of Physics, Research Institute of Agriculture and Ecology of the Arctic, Siberian Federal Univercity
Место публикации : International school/workshop on actual problems of condensed matter physics: Program. Book of abstracts/ ed. S. G. Ovchinnikov. - Norilsk, 2018. - P.14-15. - ISBN 978-5-904603-08-3
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Вид документа : Статья из сборника (однотомник)
Шифр издания :
Автор(ы) : Balaev D. A.
Заглавие : Peculiarities of magnetic properties of antiferromagnetic nanoparticles
Коллективы : Federal Research Center KSC SB RAS, Kirensky Institute of Physics, Research Institute of Agriculture and Ecology of the Arctic, Siberian Federal Univercity
Место публикации : International school/workshop on actual problems of condensed matter physics: Program. Book of abstracts/ ed. S. G. Ovchinnikov. - Norilsk, 2018. - P.9. - ISBN 978-5-904603-08-3
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Вид документа : Статья из журнала
Шифр издания :
Автор(ы) : Gitelzon I. I., Filimonov V. S., Musonov V. M.
Заглавие : Bioluminescent glow of surface-water layer of the Central Arctic in spring
Место публикации : Doklady Akademii Nauk. - 1981. - Vol. 256, Is. 3. - P.723-726. - ISSN 0002-3264
Примечания : Cited References: 7
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Вид документа : Статья из журнала
Шифр издания :
Автор(ы) : Savin I. V., Mironov V. L., Muzalevskiy K. V., Fomin S. V., Karavaiskiy A. Yu., Ruzicka Z., Lukin Y. I.
Заглавие : Dielectric database of organic Arctic soils (DDOAS)
Место публикации : Earth Syst. Sci. Data. - 2020. - Vol. 12, Is. 4. - P.3481-3487. - ISSN 1866-3508 (ISSN), DOI 10.5194/essd-12-3481-2020. - ISSN 1866-3516 (eISSN)
Примечания : Cited References: 31
Аннотация: This article presents a Dielectric database of organic Arctic soils (DDOAS). The DDOAS was created based on dielectric measurements of seven samples of organic-rich soils collected in various parts of the Arctic tundra: Yamal and Taimyr Peninsula, Samoilovsky Island (the Russian Federation), and Northern Slope of Alaska (U.S.). The organic matter content (by weight) of the soil samples presented varied from 35 % to 90 %. The refractive index (RI) and normalized attenuation coefficient (NAC) were measured under laboratory conditions by the coaxial waveguide method in the frequency range from ~ 10 MHz to ~ 16 GHz, while the moisture content changed from air-dry to field capacity and the temperature from −40 °C to +25 °C. The total number of measured values of the RI and NAC contained in the database is more than 1.5 million values. The created database can serve not only as a source of experimental data for the development of new soil dielectric models for the Arctic tundra but also as a source of training data for artificial intelligence satellite algorithms of soil moisture retrievals based on neural networks. DDOAS is presented as Excel files. The files of DDOAS are available on http://doi.org/10.5281/zenodo.3819912 (Savin and Mironov, 2020).
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Вид документа : Статья из сборника (однотомник)
Шифр издания :
Автор(ы) : Dubrovskiy A. A.
Заглавие : Possibility of forming of ε-Fe2-phase in the xerogel matrix
Коллективы : Federal Research Center KSC SB RAS, Kirensky Institute of Physics, Research Institute of Agriculture and Ecology of the Arctic, Siberian Federal Univercity
Место публикации : International school/workshop on actual problems of condensed matter physics: Program. Book of abstracts/ ed. S. G. Ovchinnikov. - Norilsk, 2018. - P.12. - ISBN 978-5-904603-08-3
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Вид документа : Статья из сборника (однотомник)
Шифр издания :
Автор(ы) : Fedorov A. S., Visotin M. A.
Заглавие : Ab initio investigations of nanostructures for their application as nanostructured thermoelectric materials
Коллективы : Federal Research Center KSC SB RAS, Kirensky Institute of Physics, Research Institute of Agriculture and Ecology of the Arctic, Siberian Federal Univercity
Место публикации : International school/workshop on actual problems of condensed matter physics: Program. Book of abstracts/ ed. S. G. Ovchinnikov. - Norilsk, 2018. - P.18. - ISBN 978-5-904603-08-3
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Вид документа : Статья из сборника (однотомник)
Шифр издания :
Автор(ы) : Muzalevskiy K. V., Ruzicka Z., Zahvatov M. G., Savin I. V., Karavaysky A. Yu.
Заглавие : First use of the Meteor-M No. 2/MTVZA-GYa radiometer for remote sensing of soil moisture and temperature in the Arctic region
Коллективы : Progress in Electromagnetics Research Symposium - Spring 2017 , Russian Foundation for Basic Research, Government of Krasnoyarsk Territory, Krasnoyarsk Region Science and Technology Support Fund [16-45-242162]; Program of Presidium of the Russian Academy of Sciences; [SB RAS II.12.1]
Место публикации : Progress in Electromagnetics Research Symposium - Spring: IEEE, 2017. - С. 1426-1429. - ISBN 978-1-5090-6269-0, DOI 10.1109/PIERS.2017.8261971
Примечания : Cited References: 7. - The reported study was funded by Russian Foundation for Basic Research, Government of Krasnoyarsk Territory, Krasnoyarsk Region Science and Technology Support Fund to the research project 16-45-242162, the Program of Presidium of the Russian Academy of Sciences "Arctic" and Program of SB RAS II.12.1.
Аннотация: In this paper, the results of radiothermal remote sensing of moisture and temperature of thawed soil on a test site in the Taymyr Peninsula using full-polarimetric observations of brightness temperature at the frequency of 10.7 GHz are presented. The brightness temperature data were obtained from MTVZA-GYa radiometer on a board of Meteor-M No. 2 satellite with footprint area near the Norilsk city and Khatanga, the Russia Federation. The MTVZA-GYa data covered the period from January 1 to December 31, 2015. The method to retrieve the soil moisture and temperature was based on solving an inverse problem by minimizing the norm of the residuals between the observed and predicted values of the brightness temperature. The calculation of the brightness temperature was performed using a semi-empirical model of radio-thermal emission the parameters of which have been pre-calibrated at the test sites in the area of Norilsk and Khatanga, as well as using a soil dielectric model with high in organic matter. The dielectric model was especially designed based on laboratory measurements of the complex permittivity of the organic-rich soil samples, which were collected at the test site near Norilsk city. As a result, the values of the root-mean-square error between the retrieved and measured soil temperatures and soil moisture were not exceed 6.5o 0.06cm3/cm3, respectively for both test sites. These results indicate the perspectives of using the full-polarimetric observations of MTVZA-GYa radiometer on a board of Meteor-M No. 2 satellite in the X-band for the purpose of measuring the soil temperature and soil moisture in the Arctic region.
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Вид документа : Статья из сборника (однотомник)
Шифр издания :
Автор(ы) : Mironov V. L., Molostov I. P., Lukin Y. I., Karavaysky A. Yu., Fomin S. V.
Заглавие : Frequency-, temperature-, and texture-dependent dielectric model for frozen and thawed arctic mineral soi
Коллективы : Progress in Electromagnetics Research Symposium
Место публикации : Progr. Electromag. Res. Symp. (PIERS): Proceedings. - 2017. - P.2546-2553. - DOI 10.1109/PIERS.2017.8262181
Примечания : Cited References: 15. - Present research was supported in the frame of project No. 16-45-242162 in the corporative program of the Russian foundation for basic research and Krasnoyarsk region government foundation for science and technology. It was also supported by the RAS Presidium Program “Arctika”, 2015– 2017 and program II.12.1. of the SB RAS basic researches.
Аннотация: A simple single-frequency dielectric model for the set of frequencies which are 0.45, 1.26, 1.4, 1.6, 5.4, 6.9, 9.6, and 10.7 GHz for frozen mineral soils is developed. The model is based on the dielectric measurements of three typical soils (sandy loam, silt loam, and silty clay) at the temperature range from -1°C to -30°C. The measured data as a function of moisture were fitted with the refractive mixing dielectric model. The model parameters are maximum bound water fraction, and refractive indexes of soil solid, unfrozen bound water, and wet ice. In the result of fitting measured data, the model parameters were determined as a functions of soil type (clay content), and soil temperature. The error of the predicted values of the complex relative permittivity (CRP) of frozen soils relative to the measured ones was evaluated through determination coefficients, and root mean square error (RMSE). The values of RMSE are on 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 cold regions.
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10.

Вид документа : Статья из сборника (выпуск продолж. издания)
Шифр издания :
Автор(ы) : leskova J., Muzalevskiy K. V., Ruzicka Z.
Заглавие : Arctic lakes thickness measurement in the Lena river delta based on the Sentinel-1 observations
Коллективы : Regional Problems of Earth Remote Sensing, "Региональные проблемы дистанционного зондирования Земли", международная конференция, Сибирский федеральный университет
Место публикации : E3S Web Conf. - 2021. - Vol. 333: Regional Problems of Earth Remote Sensing (RPERS 2021). - Ст.01007. - , DOI 10.1051/e3sconf/202133301007
Примечания : Cited References: 5
Аннотация: In this paper, we investigate the possibilities of ice thickness remote sensing on freshwater lakes based on Sentinel-1 observations. Fr. was selected as a test site. Kurungnakh Island, located in the Lena River delta, was selected as a test site, where 10 lakes with floating and grounded ice were selected. For the test lakes, the time series of backscatting coefficients measured by Sentinel-1 at horizontal-horizontal polarization (EW mode) and at an angle of 18-20 from September 2015 to June 2017 were analyzed. The average lakes ice thickness was estimated based on the Lebedev’s model and air temperature according to the European Center for Medium-Range Weather Forecasts (ECMWF ERA5). It is shown that, the dependence between backscattering coefficient and ice thickness (120-140 cm) can be described a linear function (with a standard deviation of 13.5-25.3 cm and a determination coefficient of 0.70-0.79). The preliminary studies shows that the Sentinel-1 radar data is promising for remote sensing of ice thickness on freshwater arctic lakes.
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11.

Вид документа : Статья из журнала
Шифр издания :
Автор(ы) : Mikhaylov M. I., Muzalevskiy K. V., Mironov V. L.
Заглавие : Testing semi-empirical model of reflection coefficient based on GNSSR measurements
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.5264 - 5267. - ISSN 978-1-5090-3332-4, DOI 10.1109/IGARSS.2016.7730371. - ISSN 2153-7003 (eISSN)
Примечания : The study was performed thanks to a grant from the Russian Science Foundation (project №14-17-00656)
Ключевые слова (''Своб.индексиров.''): permittivity model--smos--microwave radiometry--arctic tundra--soil moisture--soil temperature
Аннотация: In this paper, with using of semi-empirical model of the reflection coefficient, which is implementing to calculate the brightness temperature of the SMOS spacecraft at 1.4GHz in [1], [2] the soil moisture was retrieved from the reflection coefficients, which were measured by GNSS-reflectometer at a test site on the Yamal Peninsula. The model of reflection coefficient with root-mean square error (RMSE) of 0.04 allows to predict the experimental values of the reflection coefficient and with RMSE of less than 0.09cm3/cm3 allows to retrieve the soil moisture in the layer of 0-6cm
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12.

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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13.

Вид документа : Статья из сборника (однотомник)
Шифр издания :
Автор(ы) : Mironov V. L., Molostov I. P., Scherbinin V. V.
Заглавие : Dielectric model of a mineral arctic soil thawed and frozen at 0.05-15 GHz
Место публикации : International Siberian Conference on Control and Communications (SIBCON) (MAY 21-23, 2015, Omsk, RUSSIA): IEEE, 2015. - С. 2684-2687. - ISBN 978-1-4799-7103-9
Примечания : Cited References:11
Ключевые слова (''Своб.индексиров.''): dielectric model--temperature dependence--dielectric relaxation--soil--arctic regions--remote sensing
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/cm(3), and temperature from 25 to -30 degrees 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.
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14.

Вид документа : Статья из сборника (выпуск продолж. издания)
Шифр издания :
Автор(ы) : Mironov V. L., Molostov I. P., Scherbinin V. V.
Заглавие : Dielectric model of a mineral arctic soil thawed and frozen at 0.05-15 GHz
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. - P.1-7. - , DOI 10.1109/SIBCON.2015.7147146
Ключевые слова (''Своб.индексиров.''): 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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15.

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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16.

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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17.

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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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) : Mironov V. L., Muzalevskiy K. V., Savin I. V.
Заглавие : Retrieving temperature gradient in frozen active layer of arctic tundra soils from radiothermal observations in L-Band-Theoretical modeling
Коллективы : Siberian Branch of the Russian Academy of Sciences (SB RAS)
Место публикации : IEEE J. Sel. Top. Appl. Earth Observ. Remote Sens.: IEEE-Institute Electrical and Electronics Engineers, 2013. - Vol. 6, Is. 3. - Ст.6520003. - P.1781-1785. - ISSN 1939-1404, DOI 10.1109/JSTARS.2013.2262108
Примечания : Cited References: 20
Предметные рубрики: WATER
RADIOMETER
BOREAL
Ключевые слова (''Своб.индексиров.''): active layer--arctic tundra soil--freezing--microwave remote sensing--radiometry--soil moisture and ocean salinity (smos)--soil temperature--temperature profile--thawing
Аннотация: Possibility of remote sensing of both the surface temperature and the temperature gradient in the permafrost active layer from L-band brightness temperature observations is theoretically investigated at a SMOS frequency of 1.4 GHz. Bare soil emission is simulated based on the semi-empirical L-MEB model. The brightness temperature is simulated using the soil density, surface roughness, temperature, and moisture profiles measured in situ at the Biosphere Station Franklin Bluffs, Alaska, USA (69°39'N, 148°43'W) from September 2, 1999, to August 23, 2001. The soil permittivity is calculated using the temperature-dependent generalized refractive mixing dielectric model for the organic rich soil sample collected in North Slope, Alaska (68°38'N, 149°35'W). This model predicts the complex dielectric constant of moist soil both thawed and frozen at temperatures from-30°C to +25°C and moistures from 0 to 0.94 g/g. The brightness temperatures simulated for field-of-view angles from 0 to 60\circ are inverted into the temperature profiles, and their deviations from the temperature profiles measured in situ are estimated. The error in reconstructing temperature profiles is found to be no greater than 1.8 °C to depths of 0.15 m. © 2013 IEEE.
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20.

Вид документа : Статья из журнала
Шифр издания :
Автор(ы) : Mironov V. L., Muzalevskiy K. V.
Заглавие : Spaceborne radar monitoring of soil freezing/thawing processes in the Arctic tundra
Место публикации : Russ. Phys. J.: SPRINGER, 2013. - Vol. 55, Is.8. - P.899-902. - ISSN 1064-8887, DOI 10.1007/s11182-013-9898-6
Примечания : Cited References: 12
Ключевые слова (''Своб.индексиров.''): active topsoil--complex dielectric constant, arctic tundra--freezing/thawing soil--radar backscattering coefficient--soil temperature
Аннотация: In this article, the possibility of measuring the average temperature in the active topsoil of the Arctic tundra from the temperature dependence of the radar backscattering coefficient is theoretically studied. The radar backscattering coefficient is simulated by the small perturbation method at a frequency of 1.26 GHz of radars placed onboard ALOS-2 and SMAP satellites. In simulation, the soil density, surface roughness, and temperature and moisture profiles measured in situ at the biosphere station Franklin Bluffs, Alaska (69В°39? N, 148В°43? W), from August 1, 2000 to July 1, 2001 were used. The soil permittivity was calculated for the generalized temperature-dependent refractive mixing dielectric model for organic rich soil whose sample was taken on the Alaska North Slope (68В°38?N, 149В°35?W). This model allows the complex dielectric constant of moist thawed and frozen soil to be calculated at temperatures in the range from -30В°S{cyrillic} to +25В°S{cyrillic}. It is demonstrated that the radar backscattering coefficient is correlated with the topsoil temperature with the error less than 5.7В°S{cyrillic} during the entire period of freezing and thawing. В© 2013 Springer Science+Business Media New York.
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