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A geosteering tool for horizontal well logging / M. I. Epov [et al.] // Rus. Geol. Geophys. - 2013. - Vol. 54, Is. 9. - P. 1103-1107, DOI 10.1016/j.rgg.2013.07.022 . - ISSN 1068-7971
Кл.слова (ненормированные):
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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Публикация на русском языке Технология геонавигации бурового инструмента в слоистой среде нефтегазового коллектора // Геология и геофизика. - 2013. - Т. 54, № 9. - С. 1404-1410

Держатели документа:
A.A. Trofimuk Institute of Petroleum Geology and Geophysics, Siberian Branch of the Russian Academy of Sciences, pr. Koptyuga 3, Novosibirsk, 630090, Russian Federation
L.V. Kirensky Institute of Physics, Siberian Branch of the Russian Academy of Sciences, Akademgorodok 50, bld. 38, Krasnoyarsk, 660036, Russian Federation
M.F. Reshetnev Siberian State Aerospace University, pr. Krasnoyarskii Rabochii 31, Krasnoyarsk, 660014, Russian Federation
Siberian Federal University, 79, pr. Svobodnyi, Krasnoyarsk, 660041, Russian Federation

Доп.точки доступа:
Epov, M. I.; Mironov, V. L.; Миронов, Валерий Леонидович; Muzalevskiy, K. V.; Музалевский, Константин Викторович; Eltsov, I. N.; Salomatov, U. P.
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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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    Earth surface subsidence in the kuznetsk coal basin caused by manmade and natural seismic activity according to ALOS PALSAR interferometry / A. I. Zakharov [et al.] // IEEE J. Sel. Top. Appl. Earth Observ. Remote Sens. - 2013. - Vol. 6, Is. 3. - P. 1578-1583, DOI 10.1109/JSTARS.2013.2259220. - Cited References: 14 . - ISSN 1939-1404
   Перевод заглавия: Деформации земной поверхности в Кузнецком угольном бассейне, вызванные деятельностью человека и природной сейсмической активностью согласно данным интерферометрии

РУБ Geography, Physical + Remote Sensing + Imaging Science & Photographic Technology
Рубрики:
RADAR INTERFEROMETRY
   DEFORMATION
   DINSAR
   INSAR
Кл.слова (ненормированные):
Coal mine -- land surface subsidence -- seismic measurements -- spaceborne radar interferometry
Аннотация: This paper presents results of a spaceborne radar interferometry technique application for land subsidence observations in a coal mining area in Kuzbass, Russia. Joint analysis of radar interferometry measurements with simultaneous seismic observations shows that the land subsidence is triggered by seismic events, both natural and caused by human underground activity. Surface displacements are linked typically to the boundaries of block structures and correlate with the location of clusters of seismic events.

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Держатели документа:
RAS, Kotelnikov Inst Radioengn & Elect, Fryazino 141120, Russia
SB RAS, AA Trofimuk Inst Petr Geol & Geophys, Novosibirsk 630090, Russia
SB RAS, LV Kirensky Phys Inst, Krasnoyarsk 660036, Russia
SB RAS, Inst Phys Mat Sci, Ulan Ude 670047, Russia
SB RAS, Geophys Survey, Novosibirsk 670047, Russia
RAS, Kotelnikov Inst Radioengn & Elect, Moscow 125009, Russia

Доп.точки доступа:
Zakharov, A. I.; Epov, M. I.; Mironov, V. L.; Миронов, Валерий Леонидович; Chymitdorzhiev, T. N.; Seleznev, V. S.; Emanov, A. F.; Bykov, M. E.; Cherepenin, V. A.
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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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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

Материалы конференции

Доп.точки доступа:
Mironov, V.L.; Progress In Electromagnetics Research Symposium(2008 ; Cambridge)
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Mironov, V. L.
Measuring soil temperature and moisture of arctic tundra based on SMOS and ALOS PALSAR data / V. L. Mironov, K. V. Muzalevskiy, S. Anna // Int. Sib. Conf. on Control and Communicat. : Proceedings : IEEE-Institute Electrical and Electronics Engineers, 2015, DOI 10.1109/SIBCON.2015.7147154 . - ISBN 978-1-4799-7102-2
Кл.слова (ненормированные):
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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Доп.точки доступа:
Muzalevskiy, K. V.; Музалевский, Константин Викторович; Anna, S.; Миронов, Валерий Леонидович; International Siberian Conference on Control and Communications(11 ; 2015 ; May 21-23 ; Omsk)
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Mironov, V. L.
Spaceborne radar monitoring of soil freezing/thawing processes in the Arctic tundra / V. L. Mironov, K. V. Muzalevskiy // Russ. Phys. J. - 2013. - Vol. 55, Is.8. - P. 899-902, DOI 10.1007/s11182-013-9898-6. - Cited References: 12 . - ISSN 1064-8887
Кл.слова (ненормированные):
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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Публикация на русском языке Миронов, Валерий Леонидович. Космический радиолокационный мониторинг процессов замерзания и оттаивания почвы арктической тундры / В. Л. Миронов // Известия высших учебных заведений. Физика : Томский государственный университет, 2012. - Т. 55, № 8. - С. 40-43. - ISSN 0021-3411

Держатели документа:
Russian Acad Sci, LV Kirensky Phys Inst, Siberian Branch, Krasnoyarsk, Russia
MF Reshetnev Siberian State Aerosp Univ, Krasnoyarsk, Russia

Доп.точки доступа:
Muzalevskiy, K. V.; Музалевский, Константин Викторович; Миронов, Валерий Леонидович
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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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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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10.

    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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