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1.
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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2.
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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3.
Вид документа
: Статья из журнала
Шифр издания
:
Автор(ы)
: Bobrov P. P., Kroshka E. S.,
Muzalevskiy
K. V.
Заглавие
: The effect of dielectric relaxation processes on the complex dielectric permittivity of soils at frequencies from 10 kHz to 8 GHz—Part II: Broadband analysis
Колич.характеристики
:11 с
Место публикации
: IEEE Trans. Geosci. Remote Sens. - 2024. - Vol. 62. - Ст.2000411. - ISSN 01962892 (ISSN),
DOI
10.1109/TGRS.2023.3340693. - ISSN 15580644 (eISSN)
Примечания
: Cited References: 51
Аннотация:
This article is the second in a series evaluating the effect of dielectric relaxation processes on the relatively effective complex dielectric permittivity (RCP) of soils. Part II is based on the results of experimental measurements in the frequency range 10 kHz to 8–20 GHz. The broadband dielectric spectrum model includes the high-frequency part as a model of the dielectric mixture and the relaxation part as the sum of three relaxation processes modeled by the Debye and Cole–Cole formulas. For modeling the high-frequency part of the spectrum, the Dobson and Mironov models were considered as possible options. As stated in Part I, the influence of relaxation processes on the imaginary part of the RCP extends up to frequencies of units of gigahertz. The increase in the imaginary part in these models was compensated by unrealistically high values of the specific electrical conductivity of free and bound water. We examined the correspondence of these models to experimental data at frequencies above 2–5 GHz, assuming that the conductivity of bound and free water is zero. The parameters of relaxation processes were found while solving the least-square optimization problem using the technique for determining the continuous distribution of relaxation times (DRTs). Found process parameters depend on the content of clay, organic carbon, and moisture of the samples. The more clay is in the soil, the greater the strength of these processes is. The influence of organic carbon with the conditions being equal consists in the reduction of the real and imaginary parts of RCP.
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4.
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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5.
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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6.
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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7.
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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8.
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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9.
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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10.
Вид документа
: Статья из журнала
Шифр издания
:
Автор(ы)
: Zeyliger A. M.,
Muzalevskiy
K. V., Zinchenko E. V., Ermolaeva O. S.
Заглавие
: Field test of the surface soil moisture mapping using Sentinel-1 radar data
Место публикации
: Sci. Total Environ. - 2022. - Vol. 807, Part 2. - Ст.151121. - ISSN 00489697 (ISSN),
DOI
10.1016/j.scitotenv.2021.151121
Примечания
: Cited References: 43. - The research was performed within the framework of the Russian Foundation for Basic Research project 19-29-05261 mk “Cartographic modelling of soil moisture reserves based on complex geophysical water content measurements for digital irrigated agriculture”
Аннотация:
Soil surface moisture is one of the key parameters for describing the hydrological state and assessing the potential availability of water for irrigated plants. Because the radar backscattering coefficient is sensitive to soil moisture, the application of Sentinel-1 data may support soil surface moisture mapping at high spatial resolution by detecting spatial and temporal changes at the field scale for precision irrigation management. This mapping is required to control soil water erosion and preferential water flow to improve irrigation water efficiency and minimise negative impacts on surface and ground water bodies. Direct observations of soil surface moisture (5-cm thickness) were performed at an experimental plot in the study site of the All-Russian Scientific Research Institute of Irrigated Agriculture, near the village Vodnyy, Volgograd region. Soil surface moisture retrieval from Sentinel-1 was performed at the same location. A second set of soil surface moisture was calculated for the soil sampling sites using the permittivity model, based on the estimates of soil surface characteristics: a) reflectivity, obtained by the neural network method from Sentinel-1 observations; b) roughness, obtained from the geodata of the stereoscopic survey with unmanned aerial vehicle Phantom 4 Pro. The raster set of soil surface moisture geodata was obtained based on the reflectivity geodata raster set to solve the inverse problem using a permittivity model that considers the soil texture of the experimental plot. The determination coefficient (0.948) and standard deviation (2.04%) were obtained by comparing both sets of soil moisture point geodata taken from the same soil sampling sites. The values confirmed a satisfactory linear correlation between the directly measured and indirectly modelled sets. A comparison of the two sets of geodata indicated a satisfactory reproduction of the first set by the second set. As a result, the developed method can be considered as the scientific and methodological basis of the new technology of soil surface moisture monitoring by radar, which is one of the basic characteristics used in precision irrigation management.
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11.
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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12.
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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13.
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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14.
Вид документа
: Статья из сборника (однотомник)
Шифр издания
:
Автор(ы)
: Epov M.I., Mironov V.L.,
Muzalevskiy
K.V., Yeltsov I.N.
Заглавие
: Geosteering Technology of Drilling Tool in a Layered Medium Oil and Gas Reservoir
Коллективы
: International Siberian Conference on Control and Communications
Место публикации
: Int. Sib. Conf. on Control and Communicat.: Proceedings: IEEE-Institute Electrical and Electronics Engineers, 2011. - С. 155-158
Материалы конференции
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15.
Вид документа
: Однотомное издание
Шифр издания
: Гос. рег. прогр. для ЭВМ 2018661086!-362819500
Автор(ы)
: Музалевский, Константин Викторович
Заглавие
: GNSS_Reflectometry .-
Коллективы
: Федеральный исследовательский центр "Красноярский научный центр Сибирского отделения Российской академии наук", Федеральная служба по интеллектуальной собственности (Роспатент), Федеральный институт промышленной собственности
Место публикации
: Прогр. для ЭВМ. Базы данных. Топологии интегр. микросхем: офиц. бюл. Фед. службы по интеллектуал. собственности (Роспатент). - 2018. - № 9
Аннотация:
Программа позволяет проводить расчет интерференции полей сигналов спутниковых систем ГЛОНАСС и GPS (ГНСС) в частотном диапазоне L1 от диэлектрически-однородной не покрытой растительностью почвы с учетом шероховатости её поверхности диапазоне среднеквадратических отклонений высот неровностей от 0,0 см до 6,0 см, при размещении фазового центра приемной антенны (горизонтальной или вертикальной поляризации) на высоте от 0,5 м до 10 м над уровнем поверхности почвенного покрова и в диапазоне углов возвышения спутника от 5° до 90°. Язык программирования: GNU Octave (Matlab). Объем программы для ЭВМ: 8 Кб.
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16.
Вид документа
: Однотомное издание
Шифр издания
: Гос. рег. прогр. для ЭВМ 2020614188!-899077715
Автор(ы)
: Музалевский, Константин Викторович
Заглавие
: GRMDM ORGANIC .-
Коллективы
: Федеральный исследовательский центр "Красноярский научный центр Сибирского отделения Российской академии наук", Федеральная служба по интеллектуальной собственности (Роспатент), Федеральный институт промышленной собственности
Место публикации
: Прогр. для ЭВМ. Базы данных. Топологии интегр. микросхем: офиц. бюл. Фед. службы по интеллектуал. собственности (Роспатент). - 2020. - № 4
Аннотация:
Программа позволяет проводить расчет комплексной диэлектрической проницаемости органической тундровой почвы с содержанием органического вещества (m0) от 35% до 80% (по весу), температуры почвы (Ts) от -30°С to +25°С, на частоте 1,4ГГц, в зависимости от плотности сухого сложения почвы (rd). Входные параметры: содержание органического вещества, влажность почвы, плотность сухого сложения почвы, температура почвы. Выходные параметры: действительная и мнимая части комплексной диэлектрической проницаемости почвы. Программа может быть использована в спутниковых алгоритмах восстановления влажности почвы арктических территорий. Тип ЭВМ: IBM PC на базе процессора Pentium III; ОС: Windows ХР и выше.
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17.
Вид документа
: Статья из сборника (однотомник)
Шифр издания
:
Автор(ы)
:
Muzalevskiy
K. V., Fomin S. V., Mironov V. L.
Заглавие
: GRMDM_O : [программа для ЭВМ]
Место публикации
: Remote Sensing Code Library: IEEE, 2018. - Ст.2018-04-18. -
DOI
10.21982/M8192K
Аннотация:
The function calculates the complex dielectric permittivity (es) of the soil with an organic matter content (m0) from 35% to 80% in the range of soil temperature (Ts) from -30C to +25C at frequency equal to 1.4GHz (rd is a soil dry bulk density in g/cm. ). To develop the dielectric model, four soil samples were taken from the Yamal peninsula and the North Slope of Alaska. The program was writen based on article: S. V. Fomin, V.L. Mironov, I.V. Savin, L.G. Kosolapova "Dielectric model of melted and frozen organic soils at 1.4 GHz frequency," Izvestiya Vuzov. Physics. 2017. No 12/2. pp. 121-125. (in Russian). Input parameters: Organic matter content, Soil moisture, Dry bulk density, Soil temperature. Output parameter: Complex permittivity
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18.
Вид документа
: Статья из журнала
Шифр издания
:
Автор(ы)
: Komarov S. A.,
Muzalevskiy
K. V.
Заглавие
: Method of Discrete Sources in the Problem of Pulse Excitation of a Vibrator in a Layered Medium
Место публикации
: RUSSIAN PHYSICS JOURNAL. - 2007. - Vol. 50, № 10. - С. 1068-1070
ISSN:
1064-8887
РИНЦ
,
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19.
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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20.
Вид документа
: Статья из сборника (однотомник)
Шифр издания
:
Автор(ы)
: Epov M. I., Mironov V. L.,
Muzalevskiy
K. V.
Заглавие
: Method of Measuring the Range from the UWB Borehole Logging Tool to the Oil-water Contact
Коллективы
: Progress In Electromagnetics Research Symposium
Серия:
PIERS 2011 Suzhou - Progress in Electromagnetics Research Symposium, Proceedings
Место публикации
: Proc. PIER. - 2011. - С. 55-58
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