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Savin, I. V.
A dielectric model of thawed and frozen Arctic organic soils at 435 MHz / I. V. Savin, K. V. Muzalevskiy, V. L. Mironov // Remote Sens. Lett. - 2022. - Vol. 13, Is. 5. - P. 452-459, DOI 10.1080/2150704X.2022.2041761. - Cited References: 15. - This work was supported by the SB RAS project No. 0287-2021-0034 . - ISSN 2150-704X. - ISSN 2150-7058

РУБ Remote Sensing + Imaging Science & Photographic Technology
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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Держатели документа:
Russian Acad Sci Ip Sb Ras, Lab Radiophys Earth Remote Sensing, Kirensky Inst,Phys Fed Res Ctr, Ksc Siberian Branch, Krasnoyarsk, Russia.
Siberian Fed Univ, Sch Engn Phys & Radio Elect, Krasnoyarsk, Russia.

Доп.точки доступа:
Muzalevskiy, K. V.; Музалевский, Константин Викторович; Mironov, V. L.; Миронов, Валерий Леонидович; Савин, Игорь Викторович; SB RAS project [0287-2021-0034]
}
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    Исследование криоморфогенеза в районе Тикси при помощи радарной интерферометрии ALOS PALSAR. Проблемы инженерного мерзлотоведения = Permafrost Engineering : Proceedings of the IX International Symposium / В. Л. Миронов, М. Н. Григорьев, А. И. Захаров [и др.] // IX Международный симпозиум по проблемам инженерного мерзлотоведения : Материалы симпозиума / ред. Р. В. Чжан. - Якутск : Изд-во ИМЗ СО РАН, 2011. - С. 482-486
   Перевод заглавия: Cryogenesis investigation at the Tiksi by radar interferometry ALOS PALSAR

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Держатели документа:
Институт физики им. Л.В. Киренского СО РАН

Доп.точки доступа:
Чжан, Р. В. \ред.\; Миронов, Валерий Леонидович; Mironov, V. L.; Григорьев, М. Н.; Захаров, А. И.; Чимитдоржиев, Т. Н.; Быков, М. Е.; Шибаев, С. В.; Международный симпозиум по проблемам инженерного мерзлотоведения(9 ; 2011 ; сент. ; 3-7 ; Мирный, Россия); Институт мерзлотоведения им. П.И. Мельникова СО РАН
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Field test of the surface soil moisture mapping using Sentinel-1 radar data / A. M. Zeyliger, K. V. Muzalevskiy, E. V. Zinchenko, O. S. Ermolaeva // Sci. Total Environ. - 2022. - Vol. 807, Part 2. - Ст. 151121, DOI 10.1016/j.scitotenv.2021.151121. - 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” . - ISSN 0048-9697
Кл.слова (ненормированные):
Sentinel-1 -- UAV -- Digital elevation model -- Radar backscattering -- Artificial neural network -- Soil moisture
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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Держатели документа:
Russian State Agrarian University – Moscow Timiryazev Academy, Moscow, Russian Federation
Kirensky Institute of Physics of the Siberian Branch of the RAS – Division of Federal Research Center, Krasnoyarsk Scientific Center of the Siberian Branch of the RAS, Krasnoyarsk, Russian Federation
Siberian Federal University, Krasnoyarsk, Russian Federation
All-Russian Scientific Research Institute of Irrigated Agriculture, Volgograd, Russian Federation

Доп.точки доступа:
Zeyliger, A. M.; Muzalevskiy, K. V.; Музалевский, Константин Викторович; Zinchenko, E. V.; Ermolaeva, O. S.
}
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    Muzalevskiy, K. V.
    Retrieving soil moisture profiles based on multifrequency polarimetric radar backscattering observations. Theoretical case study / K. Muzalevskiy // Int. J. Remote Sens. - 2021. - Vol. 42, Is. 2. - P. 506-519, DOI 10.1080/01431161.2020.1809743. - Cited References: 46. - 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 in the L-band, a technique for measuring moisture profiles at two frequencies of 435 MHz and 5.4 GHz was created in part of SB RAS project No. 0356-2019-0004 . - ISSN 0143-1161
   Перевод заглавия: Восстановление профилей влажности почвы на основе многочастотных поляриметрических наблюдений обратного радарного рассеяния
Кл.слова (ненормированные):
Antennas -- Backscattering -- Cost functions -- Exponential functions -- Inverse problems -- Perturbation techniques -- Polarimeters -- Radar -- Remote sensing -- Soil moisture
Аннотация: In this theoretical work, a dual-frequency polarimetric method is proposed for measuring moisture profiles in the topsoil up to 0.30 m thick. A case of measuring soil moisture profiles, which monotonically changes with depth, during 37 days after irrigation is considered. Original values of backscattering coefficients are calculated by the Oh model and by the small perturbation method at frequencies of 5.4 GHz and 435 MHz, respectively. In these calculations, we used measured moisture profiles and spectroscopic refractive mixing dielectric model of non-saline mineral soil with a clay fraction of 9.1%. Soil moisture profiles are retrieved by solving the inverse problem, the cost function of which is constructed based on the co- and cross-polarized ratios, calculated at two frequencies for the measured and modelled soil moisture profiles. An exponential function is used as a modelled soil moisture profile. It is shown that the standard deviation between the retrieved and measured soil moisture values in the surface layer 0.30 m thick appears to be ≤0.02 m3 m−3 (theoretical limit), and the determination coefficient is 0.881. The study shows a promising path towards developing multi-frequency radar systems for remote sensing of soil moisture profiles using satellites-based and unmanned aerial vehicles air-based platforms.

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Держатели документа:
Laboratory of Radiophysics of the Earth Remote Sensing, Kirensky Institute of Physics Federal Research Center KSC Siberian Branch Russian Academy of Sciences, Krasnoyarsk, Russian Federation

Доп.точки доступа:
Музалевский, Константин Викторович
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    Muzalevskiy, K. V.
    A new method for remote sensing of moisture profiles in the arable layer at three frequencies; experimental case study / K. Muzalevskiy // Int. J. Remote Sens. - 2021. - Vol. 42, Is. 7. - P. 2377-2390, DOI 10.1080/01431161.2020.1851795. - 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 . - ISSN 0143-1161
   Перевод заглавия: Новый способ дистанционного зондирования профилей влажности пахотного слоя почвы на трёх частотах. Экспериментальное исследование
Кл.слова (ненормированные):
microwave remote sensing -- radar -- UAV -- soil moisture profile -- soil permittivity
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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Держатели документа:
Laboratory of Radiophysics of the Earth Remote Sensing, Kirensky Institute of Physics Federal Research Center KSC Siberian Branch Russian Academy of Sciences, Krasnoyarsk, Russian Federation

Доп.точки доступа:
Музалевский, Константин Викторович
}
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Microwave Dielectric Spectroscopy of Moist Soils in the Problem of Radar and Radiometric Remote Sensing of the Land [Текст] / V. L. Mironov // PIERS Online. - 2008. - Vol. 4, No. 1. - P. 411-415

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Доп.точки доступа:
Mironov, V.L.; Progress In Electromagnetics Research Symposium(2008 ; Cambridge)
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Muzalevskiy, K. V.
Calibration of UWB UAV radar for the remote measurement of reflection coefficient / K. Muzalevskiy, M. Mikhaylov, Z. Ruzicka // IEEE Ural-Siberian Conference on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT). - 2023. - P. 105-108, DOI 10.1109/USBEREIT58508.2023.10158870. - Cited References: 16. - The investigation supported by the Russian Science Foundation and the Krasnoyarsk Regional Science Foundation, project № 22-17-20042
Кл.слова (ненормированные):
Microwave remote sensing -- ultra-wide band remote sensing -- unmanned aerial vehicle -- log-periodic dipole antenna -- reflection coefficient
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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Держатели документа:
Laboratory of Radiophysics of the Earth Remote Sensing, Kirensky Institute of Physics Federal Research Center KSC Siberian Branch Russian Academy of Science, Krasnoyarsk, The Russian Federation

Доп.точки доступа:
Mikhaylov, M. I.; Михайлов, Михаил Иванович; Ruzicka, Z.; Ружичка, Зденек; Музалевский, Константин Викторович; IEEE Ural-Siberian Conference on Biomedical Engineering, Radioelectronics and Information Technology(15-17 May 2023 ; Yekaterinburg, Russia)
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    Метод мониторинга влажности почвы, покрытой растительным покровом, с использованием нейронной сети, радарных и мультиспектральных оптических данных Sentinel-1,2 / А. М. Зейлигер, К. В. Музалевский, Е. В. Зинченко, О. С. Ермолаева // Журн. радиоэлектрон. - 2023. - № 1. - Ст. 7 ; J. Radio Electron., DOI 10.30898/1684-1719.2023.1.8. - Библиогр.: 24. - Грант РФФИ №19-29-05261 «Картографическое моделирование влагозапасов почвенного покрова на основе комплексной геофизической влагометрии для целей цифрового орошаемого земледелия» . - ISSN 1684-1719
   Перевод заглавия: Using a neural network, radar and multispectral optical data of Sentinel-1,2 for the moisture monitoring of vegetation covered soil
Кл.слова (ненормированные):
радиолокация -- влажность почв -- нейронные сети -- диэлектрическая проницаемость -- radiolocation -- soil moisture -- neural networks -- permittivity
Аннотация: В данной работе проведен мониторинг пространственного распределения влажности поверхностного слоя агропочв тестового участка поля, покрытого растительностью, в Волгоградской области на основе данных радарной съемки спутника Sentinel-1 и мультиспектральной оптической съемки спутника Sentinel-2. Алгоритм восстановления влажности основан на применении нейронной сети для прогноза коэффициента отражения электромагнитной волны от почвенного покрова, с последующей инверсией во влажность почвы с использованием диэлектрической модели, учитывающей гранулометрический состав агропочвы. Входным параметром нейронной сети является отношение микроволнового радарного растительного индекса (рассчитанного на основе данных спутника Sentinel-1) к мультиспектральному оптическому индексу (рассчитанного на 8-11 каналах спутника Sentinel-2). Это отношение индексов обнаруживает существенно большую зависимость с влажностью почвы, чем с высотой растительности. Восстановленные значения влажности почвы сопоставлялись с влажностью отобранных образцов почвы, измеренных в лабораторных условиях термостатно-весовым методом. Предложенный метод позволяет с коэффициентом детерминации 0,435 и среднеквадратическим отклонением 2,4 % прогнозировать влажность почвы тестового участка, покрытого растительным покровом, относительно влажности почвы, измеренной контактным методом. Проведенное исследование создает научные основы новой всепогодной технологии мониторинга влажности агропочв как элемента системы точного земледелия.
In this article, a method for the moisture monitoring of vegetation covered soil was proposed using neural network, radar and optical multispectral data of Sentinel-1,2. Test site was chosen in the Volgograd region at an agriculture field. The moisture retrieval algorithm is based on the use of a neural network to predict reflection coefficient of an electromagnetic wave from the soil, followed by inversion into soil moisture using a dielectric model that takes into account the soil texture. The input parameter of the neural network is the ratio of the microwave radar vegetation index (calculated on the basis of Sentinel-1 data) to the multispectral optical index (calculated on 8-11 channels of the Sentinel-2). Such way calculated index reveals a significantly greater dependence on soil moisture than on vegetation height. The retrieved values of soil moisture were compared with the moisture content of in-situ selected soil samples, which were measured under laboratory conditions by the thermostatic-weight method. The proposed method with a determination coefficient of 0.435 and a standard deviation of 2.4 % allows predicting the soil moisture content of a test area covered with vegetation, relative to soil moisture measured in-situ. The conducted research creates the scientific basis for a new all-weather technology for remote sensing the moisture content of agricultural soils as an element of the precision farming system.

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Держатели документа:
Саратовский государственный университет генетики, биотехнологий и инженерии им. Н.И. Вавилова, 410012, Саратов, пр-кт им. Петра Столыпина, 4, стр. 3
Институт физики им. Л.В. Киренского СО РАН, 660036, Красноярск, Академгородок, 50, стр. No 38
Всероссийский научно-исследовательский институт орошаемого земледелия, 400002, Волгоград, ул. им. Тимирязева, 9
Российский государственный аграрный университет МСХА им. К.А. Тимирязева, 127434, Москва, ул. Тимирязевская, 49

Доп.точки доступа:
Зейлигер, А. М.; Музалевский, Константин Викторович; Muzalevskiy, K. V.; Зинченко, Е. В.; Ермолаева, О. С.

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    Cryogenesis investigation at the Tiksi by radar interferometry ALOS PALSAR / V. L. Mironov, M. N. Grugoriev, A. I. Zakharov3 [и др.] // Permafrost Engineering : proc. of the IX Int. Symp., 3-7 Sept. 2011, Mirny,Russia / ed. R. V. Zhang. - 2011. - P. 482 . - ISBN 978-5-93254-102-9
   Перевод заглавия: Исследование криоморфогенеза в районе Тикси при помощи радарной интерферометрии ALOS PALSAR

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Доп.точки доступа:
Zhang, R.V. \ed.\; Mironov, V. L.; Миронов, Валерий Леонидович; Grugoriev, M. N.; Zakharov3, A. I.; Chymitdorzhiev, T. N.; Bykov, M. E.; Shibaev, S. V.; "Permafrost Engineering", International Symposium(9 ; 2011 ; Sept. ; Mirny, Russia); Институт мерзлотоведения им. П.И. Мельникова СО РАН
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10.

Muzalevskiy, K. V.
Synthesizing of ultra-wide band impulse by means of a log-periodic dipole antenna. Case study for a radar stand experiment / K. Muzalevskiy, M. Mikhaylov, Z. Ruzicka // 2022 IEEE International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2022 : IEEE, 2022. - P. 1140-1143, DOI 10.1109/SIBIRCON56155.2022.10017008. - Cited References: 20. - The investigation supported by the Russian Science Foundation and the Krasnoyarsk Regional Science Foundation, project № 22-17-20042
Кл.слова (ненормированные):
Microwave remote sensing -- log-periodic dipole antenna -- calibration antenna -- complex antenna transfer function -- ultra-wide band impulse -- radiation and receiving impulse
Аннотация: In this work, the approach of ultra-wide band pulses synthesizing is proposed using a broadband low-cost log-periodic dipole antenna and a vector network analyzer. Synthesis of UWB pulse (duration of 2.2ns) became possible due to minimization of antenna dispersion by compensation of amplitude and phase-frequency distortions introduced by the antenna into radiated and received pulse. The method had been developed for a down-looking antenna in a monostatic radar configuration. The antenna return loss was calculated using the model of two-port linear network with S-parameters. To calibrate the model, an original amplitude-phase method was proposed that requires measuring the antenna's return loss when the antenna is located only at several heights above the reflecting surface (metal sheet). In this case, the antenna return loss in an empty room does not need to be measured. The proposed method for synthesizing UWB pulses does not require changes in the design of the antenna and can be implemented as an additional software calibration of the antenna-feeder path. The proposed method of UWB pulses synthesizing can be implemented using miniature, low-cost vector network analyzers for environment remote sensing from unmanned aerial vehicle using the UWB impulses.

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Держатели документа:
Kirensky Institute of Physics Federal Research Center, Laboratory of Radiophysics of the Earth Remote Sensing, KSC Siberian Branch, Russian Academy of Science, Krasnoyarsk, Russian Federation

Доп.точки доступа:
Mikhaylov, M. I.; Михайлов, Михаил Иванович; Ruzicka, Z.; Ружичка, Зденек; Музалевский, Константин Викторович; IEEE International Multi-Conference on Engineering, Computer and Information Sciences 2022(1-13 November 2022 ; Yekaterinburg, Russian Federation)
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