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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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    A temperature-dependent dielectric model for thawed and frozen organic soil at 1.4 GHz / V. L. Mironov [et al.] // IEEE J. Sel. Top. Appl. Earth Observ. Remote Sens. - 2015. - Vol. 8, Is. 9. - P. 4470-4477, DOI 10.1109/JSTARS.2015.2442295. - Cited References:19. - This work was supported in part by a grant from the Russian Science Foundation under Project 14-17-00656 . - ISSN 1939-1404. - ISSN 2151-1535
   Перевод заглавия: Температурно-зависимая диэлектрическая модель талой и мерзлой органической почвы на частоте 1,4 ГГц

РУБ Engineering, Electrical & Electronic + Geography, Physical + Remote
Рубрики:
moisture retrieval algorithm
active layer
validation
Кл.слова (ненормированные):
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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Держатели документа:
LV Kirenskii Inst Phys, Krasnoyarsk 660036, Russia.
Natl Ctr Sci Res, Lab CESBIO UMR, F-31404 Toulouse 9, France.

Доп.точки доступа:
Mironov, V. L.; Миронов, Валерий Леонидович; Kerr, Y. H.; Kosolapova, L. G.; Косолапова, Людмила Георгиевна; Savin, I. V.; Савин, Игорь Викторович; Muzalevskiy, K. V.; Музалевский, Константин Викторович; Russian Science Foundation [14-17-00656]
}
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    Bobrov, P. P.
    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 / P. P. Bobrov, E. S. Kroshka, K. V. Muzalevskiy // IEEE Trans. Geosci. Remote Sens. - 2024. - Vol. 62. - Ст. 2000411, DOI 10.1109/TGRS.2023.3340693. - Cited References: 51 . - ISSN 0196-2892. - ISSN 1558-0644
   Перевод заглавия: Эффект процессов диэлектрической релаксации на комплексную диэлектрическую проницаемость почв на частотах от 10 кГц до 8 ГГц
Кл.слова (ненормированные):
dielectric measurement -- Dobson dielectric model -- Maxwell–Wagner effect -- refraction-relaxation model -- soil moisture
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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Держатели документа:
Faculty of Physics, Omsk State Pedagogical University, 644043 Omsk, Russia
Omsk Scientific Center SB RAS (Institute of Radiophysics and Physical Electronics), 644099 Omsk, Russia
Kirensky Institute of Physics Federal Research Center KSC Siberian Branch Russian Academy of Sciences, 660036 Krasnoyarsk, Russia

Доп.точки доступа:
Kroshka, E. S.; Muzalevskiy, K. V.; Музалевский, Константин Викторович
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    Brief communication: Classification of thawed/frozen topsoil state by spectral gradient methods based on SMAP and GCOM-W1 radiometric data / K. Muzalevskiy, Z. Ruzicka, A. Roy [et al.] // EGUsphere. - 2022DOI 10.5194/egusphere-2022-224. - Cited References: 19 . - preprint
   Перевод заглавия: Краткое сообщение: Классификация талого/мёрзлого состояния верхнего слоя почвы методом спектральных градиентов на основе радиометрических данных SMAP и GCOM-W1
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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Держатели документа:
Laboratory of Radiophysics of Remote Sensing, Kirensky Institute of Physics Federal Research Center KSC Siberian Branch Russian Academy of Sciences, Krasnoyarsk, Russia
Siberian Federal University, Krasnoyarsk, Russia
Département des Sciences de l’Environnement, Université du Québec à Trois-Rivières (UQTR), Trois-Rivières, Centre d’étude Nordique, Québec, Canada
Department of Geography, Colgate University, Hamilton, NY, USA
Laboratory for Cartographic Modeling and Forecasting the State of Permafrost Geosystems, Earth Cryosphere Institute, Tyumen Scientific Centre SB RAS, Russia

Доп.точки доступа:
Muzalevskiy, K. V.; Музалевский, Константин Викторович; Ruzicka, Z.; Ружичка, Зденек; Roy, Alexandre; Loranty, Michael; Vasiliev, Alexander
}
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Brief communication: Identification of tundra topsoil frozen/thawed state from SMAP and GCOM-W1 radiometer measurements using the spectral gradient method / K. Muzalevskiy, Z. Ruzicka, A. Roy [et al.] // Cryosphere. - 2023. - Vol. 17, Is. 9. - P. 4155-4164, DOI 10.5194/tc-17-4155-2023. - 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) . - ISSN 1994-0416. - ISSN 1994-0424
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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Держатели документа:
Laboratory of Radiophysics of Remote Sensing, Kirensky Institute of Physics, Federal Research Center, Krasnoyarsk Science Center, Siberian Branch, Russian Academy of Sciences, Krasnoyarsk, Russian Federation
Departement des Sciences de l'Environnement, Universite du Quebec a Trois-Rivieres (UQTR), Centre d'etude Nordique, Trois-Rivieres, QC, Canada
Department of Geography, Colgate University, Hamilton, NY, United States
Laboratory for Cartographic Modeling and Forecasting the State of Permafrost Geosystems, Earth Cryosphere Institute, Tyumen Scientific Centre, Siberian Branch, Russian Academy of Sciences, Tyumen, Russian Federation

Доп.точки доступа:
Muzalevskiy, K. V.; Музалевский, Константин Викторович; Ruzicka, Z.; Ружичка, Зденек; Roy, A.; Loranty, M.; Vasiliev, A.
}
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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 / K. Muzalevskiy, Z. Ruzicka, A. Roy [et al.] // Remote Sens. Lett. - 2021. - Vol. 12, Is. 11. - P. 1073-1081, DOI 10.1080/2150704X.2021.1963497. - 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] . - ISSN 2150-704X. - ISSN 2150-7058

РУБ Remote Sensing + Imaging Science & Photographic Technology

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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Держатели документа:
Russian Acad Sci Iph SB RAS, Lab Radiophys Earth Remote Sensing, Kirensky Inst Phys, Fed Res Ctr KSC,Siberian Branch, Krasnoyarsk, Russia.
Univ Quebec Trois Rivieres UQTR, Ctr Etud Nord, Dept Sci Environm, Trois Rivieres, PQ, Canada.
Colgate Univ, Dept Geog, Hamilton, NY USA.
Tyumen Sci Ctr SB RAS, Earth Cryosphere Inst, Tyumen, Russia.

Доп.точки доступа:
Muzalevskiy, K. V.; Музалевский, Константин Викторович; Ruzicka, Z.; Ружичка, Зденек; Roy, Alexandre; Loranty, Michael M.; Vasiliev, Alexander; 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]
}
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    Dielectric database of organic Arctic soils (DDOAS) / I. Savin, V. Mironov, K. Muzalevskiy [et al.] // Earth Syst. Sci. Data. - 2020. - Vol. 12, Is. 4. - P. 3481-3487, DOI 10.5194/essd-12-3481-2020. - Cited References: 31 . - ISSN 1866-3508. - ISSN 1866-3516
   Перевод заглавия: Диэлектрическая база данных органических арктических почв
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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Держатели документа:
Kirensky Institute of Physics, Krasnoyarsk, 660036, Russia

Доп.точки доступа:
Savin, I. V.; Савин, Игорь Викторович; Mironov, V. L.; Миронов, Валерий Леонидович; Muzalevskiy, K. V.; Музалевский, Константин Викторович; Fomin, S. V.; Фомин, Сергей Викторович; Karavaiskiy, A. Yu.; Каравайский, Андрей Юрьевич; Ruzicka, Z.; Ружичка, Зденек; Lukin, Y. I.; Лукин, Юрий Иванович
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    Dielectric model for thawed and frozen organic soils at 1.4 GHz / V. L. Mironov [et al.] // IEEE International Geoscience and Remote Sensing Symposium (IGRASS) : Proceedings. - 2018. - P. 7180-7183. - 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 . - ISSN 978-1-538
   Перевод заглавия: Диэлектрическая модель талых и мерзлых органических почв на частоте 1,4 ГГц
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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Доп.точки доступа:
Mironov, V. L.; Миронов, Валерий Леонидович; Kosolapova, L. G.; Косолапова, Людмила Георгиевна; Fomin, S. V.; Фомин, Сергей Викторович; Savin, I. V.; Савин, Игорь Викторович; Muzalevskiy, K. V.; Музалевский, Константин Викторович; IEEE International Geoscience and Remote Sensing Symposium(2018 ; July ; 22-27 ; Valencia, Spain); Международный симпозиум по наукам о Земле и дистанционному зондированию(2018 ; июль ; 22-27 ; Валенсия, Испания)
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Dielectric model for thawed and frozen organic soils at 1.4 GHz / V. L. Mironov [et al.] // 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. - 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.
Кл.слова (ненормированные):
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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Держатели документа:
Kirensky Institute of Physics SB RAS, Russian Federation

Доп.точки доступа:
Mironov, V. L.; Миронов, Валерий Леонидович; Kosolapova, L. G.; Косолапова, Людмила Георгиевна; Fomin, S. V.; Фомин, Сергей Викторович; Savin, I. V.; Савин, Игорь Викторович; Muzalevskiy, K. V.; Музалевский, Константин Викторович; IEEE International Geoscience and Remote Sensing Symposium(2018 ; July ; 22-27 ; Valencia, Spain)
}
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10.

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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