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Вид документа : Статья из журнала
Шифр издания :
Автор(ы) : Fomin S. V., Muzalevskiy K. V.
Заглавие : A dielectric model for frozen mineral soils at a frequency of 435 MHz
Место публикации : Remote Sens. Lett. - 2021. - Vol. 12, Is. 9. - P.944-950. - ISSN 2150704X (ISSN), DOI 10.1080/2150704X.2021.1947537
Примечания : Cited References: 16. - This work was supported by the state assignment of the Ministry of Science and Higher Education of the Russian Federation [project No. 0287-2021-0034]
Аннотация: A single frequency refractive mixing dielectric model at 435 MHz for frozen mineral soils is proposed. The model was created based on the laboratory dielectric measurements of three soil samples in the ranges of soil moisture from 0.01cm3 cm−3 to 0.42cm3 cm−3, temperature from– 30°C to– 1°C, clay content (by weight) from 9.1% to 41.3%. Coefficient of determination R2 and root mean square error (RMSE) predicted by the model and measured values for real () and imaginary () part of the complex relative permittivity (CRP) are = 0.988 (= 0.323) and = 0.987 (= 0.100). Compared to well-known spectroscopic models, this model is simpler in practical engineering use. The input parameters of the model are the volumetric soil moisture, temperature and the content of the clay fraction. The output parameters are the real and imaginary parts of the CRP. The created model may be used to develop new remote sensing retrieval algorithms of temperature, the content of unfrozen water and ice in the root zone of frozen soils for northern regions.ε 'ε ''R2ε 'RMSEε 'R2ε ''RMSEε ''
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Вид документа : Статья из журнала
Шифр издания :
Автор(ы) : Savin I. V., Muzalevskiy K. V., Mironov V. L.
Заглавие : A dielectric model of thawed and frozen Arctic organic soils at 435 MHz
Коллективы : SB RAS project [0287-2021-0034]
Место публикации : Remote Sens. Lett. - 2022. - Vol. 13, Is. 5. - P.452-459. - ISSN 2150-704X, DOI 10.1080/2150704X.2022.2041761. - ISSN 2150-7058(eISSN)
Примечания : Cited References: 15. - This work was supported by the SB RAS project No. 0287-2021-0034
Предметные рубрики: P-BAND RADAR
Аннотация: A refractive-mixing dielectric model for frozen and thawed organic-rich soils at a frequency of 435 MHz was developed in this letter. The model was developed based on the dielectric measurements of five soil samples in which organic matter content was variated from 35% to 80% (by weight). Dielectric measurements were conducted in the range of volumetric soil moisture from ~2% to 60%, and the range of temperature from −30°C to 25°C. Coefficient of determination (R2) and root mean square error (RMSE) between predicted by the model and measured values for real (ε ') and imaginary (ε '') part of complex relative permittivity are R2ε '= 0.989 (RMSEε '=0.602) and R2ε ''= 0.906 (RMSEε ''=0.404), respectively. The developed dielectric model can be used for creating remote sensing algorithms (soil moisture retrieval in the root zone, active layer thickness and ice content measuring in permafrost area, etc.) in P-band.
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Вид документа : Статья из журнала
Шифр издания :
Автор(ы) : Epov M. I., Mironov V. L., Muzalevskiy K. V., Eltsov I. N., Salomatov U. P.
Заглавие : A geosteering tool for horizontal well logging
Место публикации : Rus. Geol. Geophys. - 2013. - Vol. 54, Is. 9. - P.1103-1107. - ISSN 1068-7971, DOI 10.1016/j.rgg.2013.07.022
Ключевые слова (''Своб.индексиров.''): downhole radar--geosteering--oil-water contact--saturated formation--ultrabroadband nanosecond electromagnetic pulse
Аннотация: A theoretical study has been performed to check the possibility of using ultrabroadband nanosecond electromagnetic pulses as a geosteering tool for horizontal drilling to estimate the distance to the oil-water contact (OWC) in a floating oil accumulation. The voltage of a microwave-bandwidth pulse at the dipole receiver of a downhole radar was modeled for the case of a horizontal borehole near OWC in a formation saturated with oil and water. Numerical solutions to the boundary problem formulated on the basis of the Maxwell equations were obtained with the Microwave Studio software (www.cst.com). The frequency-dependent dielectric constants of the layered saturated formation and the drilling fluid were assumed according to experimentally tested models. The modeling has demonstrated that nanosecond electromagnetic pulses arriving from a layered oil-water contact can in principle be acquired and the distance from the wellbore to the OWC median can be inferred from the respective time delays recorded by a downhole radar. Additionally, the possible dynamic range and accuracy of sensing have been estimated. В© 2013.
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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) : Muzalevskiy K. V., Zeyliger, Anatoly
Заглавие : Application of Sentinel-1B polarimetric observations to soil moisture retrieval using neural networks: Case study for bare Siberian chernozem soil
Коллективы : Russian Foundation for Basic ResearchRussian Foundation for Basic Research (RFBR) [19-29-05261 mk]; Ministry of Science and Higher Education of the Russian Federation [0287-2021-0034]
Место публикации : Remote Sens. - 2021. - Vol. 13, Is. 17. - Ст.3480. - ISSN 2072-4292(eISSN), DOI 10.3390/rs13173480
Примечания : Cited References: 21. - This work was supported by the Russian Foundation for Basic Research (grant No. 19-29-05261 mk). The field experiment and EC-5 Decagon sensor calibration in laboratory conditions were carried out with the support of Ministry of Science and Higher Education of the Russian Federation, project No. 0287-2021-0034 (basic state assignment)
Предметные рубрики: SURFACE
MODEL
PARAMETERS
ROUGHNESS
INVERSION
DUBOIS
IEM
OH
Аннотация: Sentinel-1 is currently the only synthetic-aperture radar, which radar measurements of the earth’s surface to be carried out, regardless of weather conditions, with high resolution up to 5–40 m and high periodicity from several to 12 days. Sentinel-1 creates a technological platform for the development of new globally remote sensing algorithms of soil moisture, not only for hydrological and climatic model applications, but also on a single field scale for individual farms in precision farming systems used. In this paper, the potential of soil moisture remote sensing using polarimetric Sentinel-1B backscattering observations was studied. As a test site, the fallow agricultural field with bare soil near the Minino village (56.0865°N, 92.6772°E), Krasnoyarsk region, the Russian Federation, was chosen. The relationship between the cross-polarized ratio, reflectivity, and the soil surface roughness established Oh used as a basis for developing the algorithm of soil moisture retrieval with neural networks (NNs) computational model. Two NNs is used as a universal regression technique to establish the relationship between scattering anisotropy, entropy and backscattering coefficients measured by the Sentinel-1B on the one hand and reflectivity on the other. Finally, the soil moisture was found from the soil reflectivity in solving the inverse problem using the Mironov dielectric model. During the field campaign from 21 May to 25 August 2020, it was shown that the proposed approach allows us to predict soil moisture values in the layer thickness of 0.00–0.05 m with the root-mean-square error and determination coefficient not worse than 3% and 0.726, respectively. The validity of the proposed approach needs additional verification on a wider dataset using soils of different textures, a wide range of variations in soil surface roughness, and moisture.
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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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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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10.

Вид документа : Статья из журнала
Шифр издания :
Автор(ы) : Muzalevskiy K. V., Ruzicka Z., Roy A., Loranty M., Vasiliev A.
Заглавие : Brief communication: Identification of tundra topsoil frozen/thawed state from SMAP and GCOM-W1 radiometer measurements using the spectral gradient method
Колич.характеристики :10 с
Место публикации : Cryosphere. - 2023. - Vol. 17, Is. 9. - P.4155-4164. - ISSN 19940416 (ISSN), DOI 10.5194/tc-17-4155-2023. - ISSN 19940424 (eISSN)
Примечания : Cited References: 34. - This research has been supported by the state assignment of the Kirensky Institute of Physics, Federal Research Center, Krasnoyarsk Science Center of the Siberian Branch of the Russian Academy of Sciences (SB RAS). Weather station data collection was support by the Canadian Space Agency, NSERC and frqnt; the US National Science Foundation (PLR-1304464 and PLR-1417745); and the state assignment of the Earth Cryosphere Institute, Tyumen Scientific Centre, SB RAS (121041600043-4)
Аннотация: From 2015 to 2020, using the spectral gradient radiometric method, the possibility of the frozen/thawed (FT) state identification of tundra soil was investigated based on Soil Moisture Active Passive (SMAP) and Global Change Observation Mission - Water Satellite 1 (GCOM-W1) satellite observations of 10 test sites located in the Arctic regions of Canada, Finland, Russia, and the USA. It is shown that the spectral gradients of brightness temperature and reflectivity (measured in the frequency range from 1.4 to 36.5 GHz with horizontal polarization, a determination coefficient from 0.775 to 0.834, a root-mean-square error from 6.6 to 10.7 d and a bias from -3.4 to C6.5 d) make it possible to identify the FT state of the tundra topsoil. The spectral gradient method has a higher accuracy with respect to the identification of the FT state of tundra soils than single-frequency methods based on the calculation of polarization index.
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11.

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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12.

Вид документа : Статья из сборника (выпуск продолж. издания)
Шифр издания :
Автор(ы) : Muzalevskiy K. V., Mikhaylov M. I., Ruzicka Z.
Заглавие : Calibration of UWB UAV radar for the remote measurement of reflection coefficient
Коллективы : IEEE Ural-Siberian Conference on Biomedical Engineering, Radioelectronics and Information Technology
Место публикации : IEEE Ural-Siberian Conference on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT). - 2023. - P.105-108. - , DOI 10.1109/USBEREIT58508.2023.10158870
Примечания : Cited References: 16. - The investigation supported by the Russian Science Foundation and the Krasnoyarsk Regional Science Foundation, project № 22-17-20042
Аннотация: In this work, the possibility of the remote measurement of reflection coefficient in the ultra-wide frequency range from 425 MHz to 1010 MHz from the board of unmanned aerial vehicle (UAV) using ultra-wide band (UWB) radar was investigated. With this in mind, the antenna-feeder path of UAV UWB radar is calibrated. The calibration process consisted in measuring the reflection coefficient from the brass mesh sheet at various UAV hovering heights. Printed log-periodic dipole antenna was used as transmitter-receiver antenna. As a result, the antenna return loss in an empty-room and the complex antenna response function of the antenna-feeder path of the UAV UWB radar were found. It is shown that the amplitude of the reflected wave from a brass mesh sheet can be measured with root-mean square error (RMSE), RMSE=0.017 1/m and a determination coefficient (R 2 ) of R 2 = 0.967. Therewith the UAV hovering heights measured by the pulse method and the on-board laser rangefinder correlates with each other with R2=0.999 and with RMSE=3.5cm (distance measurement error of the laser rangefinder is ±1cm, surface irregularities of the brass mesh sheet were no more than 1.5cm). Measured in the frequency range from 500 MHz to 900 MHz, the reflection coefficient from fresh lake water by UAV UWB radar with a relative error of no more than 7.5% (practically does not depend on the height of the UAV hovering, approximately from 2.2 m to 5.2 m) coincides with the calculated one by the Stogryn's formulas.
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13.

Вид документа : Статья из журнала
Шифр издания :
Автор(ы) : Muzalevskiy K. V., Ruzicka Z., Roy, Alexandre, Loranty, Michael M., Vasiliev, Alexander
Заглавие : Classification of the frozen/thawed surface state of Northern land areas based on SMAP and GCOM-W1 brightness temperature observations at 1.4 GHz and 6.9 GHz
Коллективы : SB RAS project [0287-2021-0034]; Interdisciplianire en Milieu Polaire; Universite de Sherbrooke; GRIMP; NSERCNatural Sciences and Engineering Research Council of Canada (NSERC); FRQNT; US National Science FoundationNational Science Foundation (NSF) [PLR-1304464, PLR1417745]; State Research Programs [AAAA-A17-117051850059-6]
Место публикации : Remote Sens. Lett. - 2021. - Vol. 12, Is. 11. - P.1073-1081. - ISSN 2150-704X, DOI 10.1080/2150704X.2021.1963497. - ISSN 2150-7058(eISSN)
Примечания : Cited References: 16. - This work was supported by the SB RAS project No. 0287-2021-0034. Weather stations data was acquired and processing with support of Interdisciplianire en Milieu Polaire), Universite de Sherbrooke; GRIMP, NSERC and FRQNT;US National Science Foundation [PLR-1304464 and PLR1417745];0287-2021-0034 [SB RAS];State Research Programs [AAAA-A17-117051850059-6]
Аннотация: In this letter, the method created earlier by the authors and the information product SPL3FTP_E of the Soil Moisture Active Passive (SMAP) satellite for determining frozen/thawed state of soil surface on the example of test sites placed on North Slope of Alaska, U.S.A., Canada, Finland and Russian Federation were compared. As an indicator of the frozen/thawed state of soil surface, the polarization index calculated on the basis of the reflectivity of soils was proposed. The soil reflectivity was determined in the L-band based on the SMAP radiometric observations at a frequency of 1.4 GHz using the values of brightness temperatures measured by the Global Change Observation Mission - Water 1/Advanced Microwave Scanning Radiometer 2 (GCOM-W1/AMSR2) at a vertical polarization and a frequency of 6.9 GHz, as an estimate of the soil effective temperature. As a result, it was shown that the developed method makes it possible to increase accuracy of the frozen/thawed states determination of soil surface from 3% to 9% in relation to the SMAP data (SPL3FTP_E) for twelve Arctic test sites.
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14.

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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15.

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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16.

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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17.

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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18.

Вид документа : Статья из журнала
Шифр издания :
Автор(ы) : Mironov V. L., Kosolapova L. G., Fomin S. V., Savin I. V., Muzalevskiy K. V.
Заглавие : Dielectric model for thawed and frozen organic soils at 1.4 GHz
Коллективы : IEEE International Geoscience and Remote Sensing Symposium, Международный симпозиум по наукам о Земле и дистанционному зондированию
Место публикации : IEEE International Geoscience and Remote Sensing Symposium (IGRASS): Proceedings. - 2018. - P.7180-7183. - ISSN 978-1-5386-7150-4
Примечания : Cited References: 6. - The study was supported by a grant from the Russian Foundation for Basic Research (project № 16-05-00572), and project № 0356-2018-0060
Аннотация: Dielectric measurements of organic soils for five samples with different contents of organic matter are carried out in the temperature range from -30 °C to 25 °C in a wide frequency range from 0.45 to 16 GHz. On their basis, a simple single-frequency dielectric model of thawed and frozen organic soils has been created to calculate the complex relative permittivity of thawed and frozen organic soils, depending on the moisture, temperature and organic matter content at 1.4 GHz1.
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19.

Вид документа : Статья из сборника (выпуск продолж. издания)
Шифр издания :
Автор(ы) : Mironov V. L., Kosolapova L. G., Fomin S. V., Savin I. V., Muzalevskiy K. V.
Заглавие : Dielectric model for thawed and frozen organic soils at 1.4 GHz
Коллективы : IEEE International Geoscience and Remote Sensing Symposium
Место публикации : International Geoscience and Remote Sensing Symposium (IGARSS): IEEE, 2018. - Vol. 2018-July: 38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 (22 July 2018 through 27 July 2018, ) Conference code: 141934. - Ст.8518443. - P.7180-7183. - , DOI 10.1109/IGARSS.2018.8518443
Примечания : Cited References: 6. - The study was supported by a grant from the Russian Foundation for Basic Research (project № 16-05-00572), and project №0356-2018-0060.
Ключевые слова (''Своб.индексиров.''): 1.4 ghz--dielectric model--moisture--organic soils--remote sensing--temperature--thawed and frozen soils
Аннотация: Dielectric measurements of organic soils for five samples with different contents of organic matter are carried out in the temperature range from -30 °C to 25 °C in a wide frequency range from 0.45 to 16 GHz. On their basis, a simple single-frequency dielectric model of thawed and frozen organic soils has been created to calculate the complex relative permittivity of thawed and frozen organic soils, depending on the moisture, temperature and organic matter content at 1.4 GHz.
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20.

Вид документа : Статья из журнала
Шифр издания :
Автор(ы) : Fomin S. V., Muzalevskiy K. V.
Заглавие : Dielectric Model for Thawed Mineral Soils at a Frequency of 435 MHz
Место публикации : IEEE Geosci. Remote Sens. Lett. - 2021. - Vol. 18, Is. 2. - P.222-225. - ISSN 1545-598X (ISSN), DOI 10.1109/LGRS.2020.2972559. - ISSN 1558-0571 (eISSN)
Примечания : Cited References: 20. - This work was supported by the Program of SB RAS, project №0356-2019-0004
Аннотация: A single-frequency dielectric model at 435 MHz for mineral soils is proposed. The dielectric model was created on the basis of the laboratory dielectric measurements of three soil samples with clay content in the range of 9.1%-41.3%. The input parameters of the dielectric model are volumetric soil moisture and clay content. The output parameter of the dielectric model is complex permittivity (CP). The model prediction errors are comparable with the errors of instrumental measurements of the CP for refractive index and normalized attenuation 0.1-0.3 and 0.06-0.12, respectively, in terms of root-mean-square error (RMSE). The comparative analysis of dielectric predictions in the case of the developed model proved to obtain a better accuracy than the existing dielectric models. The created model may be recommended for practical use in the algorithms of soil-moisture retrieval in the P-band.
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