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Fomin, S. V.
A dielectric model for frozen mineral soils at a frequency of 435 MHz / S. Fomin, K. Muzalevskiy // Remote Sens. Lett. - 2021. - Vol. 12, Is. 9. - P. 944-950, DOI 10.1080/2150704X.2021.1947537. - 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] . - ISSN 2150-704X
Кл.слова (ненормированные):
Mean square error -- Mixer circuits -- Permittivity -- Remote sensing -- Soil moisture -- Soil surveys -- Coefficient of determination -- Complex relative permittivity -- Dielectric measurements -- Practical engineering -- Retrieval algorithms -- Root mean square errors -- Spectroscopic models -- Volumetric soil moistures -- Frozen soils
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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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:
Muzalevskiy, K. V.; Музалевский, Константин Викторович; Фомин, Сергей Викторович
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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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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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    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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    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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    Mironov, V. L.
    A temperature-dependent multi-relaxation spectroscopic dielectric model for thawed and frozen organic soil at 0.05-15 Ghz / V. L. Mironov [et al.] // Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International. - 2015. - P. 2031-2034DOI 10.1109/IGARSS.2015.7326198
   Перевод заглавия: Температурно-зависимая много-релаксационная спектроскопическая диэлектрическая модель для талой и мерзлой органической почвы в диапазоне частот 0,05-15 ГГц.
Аннотация: The dielectric model for an arctic organic-rich soil collected on the Yamal peninsula (50% of organic matter) both thawed and frozen has been developed. The model is based on the soil dielectric measurements carried out in the ranges of gravimetric moisture 0.03 to 0.55 g/g, dry soil density 0.72 to 0.87 g/cm3, and temperature 25 to −30°C (cooling run), in the frequency range 0.05–15 GHz. To fit the results of measurements of the soil complex dielectric constant as a function of soil moisture and wave frequency, the refractive mixing dielectric model in conjunction with the Debye multi-relaxation equations were applied. As a result, the spectroscopic parameters of dielectric relaxations and electrical specific conductivities for the bound, transient bound, and unbound soil water components were derived, being further complimented with the thermodynamics parameters. Having these parameters, the complex dielectric constant of soil can be predicted as a function of 1) density of dry soil, 2) gravimetric moisture, 3) wave frequency, and 4) temperature1.

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Доп.точки доступа:
Savin, I. V.; Савин, Игорь Викторович; Muzalevskiy, K. V.; Музалевский, Константин Викторович; Миронов, Валерий Леонидович; Geoscience and Remote Sensing Symposium(2015 ; jul ; 26-31 ; Milan, Italy)
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Muzalevskiy, K. V.
Application of Sentinel-1B polarimetric observations to soil moisture retrieval using neural networks: Case study for bare Siberian chernozem soil / K. Muzalevskiy, A. Zeyliger // Remote Sens. - 2021. - Vol. 13, Is. 17. - Ст. 3480, DOI 10.3390/rs13173480. - Cited References: 21. - This work was supported by the Russian Foundation for Basic Research (grant No. 19-29-05261 mk). The field experiment and EC-5 Decagon sensor calibration in laboratory conditions were carried out with the support of Ministry of Science and Higher Education of the Russian Federation, project No. 0287-2021-0034 (basic state assignment) . - ISSN 2072-4292

РУБ Environmental Sciences + Geosciences, Multidisciplinary + Remote Sensing + Imaging Science & Photographic Technology
Рубрики:
SURFACE
   MODEL
   PARAMETERS
   ROUGHNESS
   INVERSION
   DUBOIS
   IEM
   OH
Кл.слова (ненормированные):
microwave remote sensing -- Sentinel-1 -- bare soil -- soil moisture -- soil permittivity
Аннотация: Sentinel-1 is currently the only synthetic-aperture radar, which radar measurements of the earth’s surface to be carried out, regardless of weather conditions, with high resolution up to 5–40 m and high periodicity from several to 12 days. Sentinel-1 creates a technological platform for the development of new globally remote sensing algorithms of soil moisture, not only for hydrological and climatic model applications, but also on a single field scale for individual farms in precision farming systems used. In this paper, the potential of soil moisture remote sensing using polarimetric Sentinel-1B backscattering observations was studied. As a test site, the fallow agricultural field with bare soil near the Minino village (56.0865°N, 92.6772°E), Krasnoyarsk region, the Russian Federation, was chosen. The relationship between the cross-polarized ratio, reflectivity, and the soil surface roughness established Oh used as a basis for developing the algorithm of soil moisture retrieval with neural networks (NNs) computational model. Two NNs is used as a universal regression technique to establish the relationship between scattering anisotropy, entropy and backscattering coefficients measured by the Sentinel-1B on the one hand and reflectivity on the other. Finally, the soil moisture was found from the soil reflectivity in solving the inverse problem using the Mironov dielectric model. During the field campaign from 21 May to 25 August 2020, it was shown that the proposed approach allows us to predict soil moisture values in the layer thickness of 0.00–0.05 m with the root-mean-square error and determination coefficient not worse than 3% and 0.726, respectively. The validity of the proposed approach needs additional verification on a wider dataset using soils of different textures, a wide range of variations in soil surface roughness, and moisture.

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Держатели документа:
Russian Acad Sci, Lab Radiophys Earth Remote Sensing, Kirensky Inst Phys, Fed Res Ctr KSC,Siberian Branch, Krasnoyarsk 630090, Russia.
Russian State Agr Univ, Dept Appl Informat, Moscow Timiryazev Agr Acad, Moscow 127550, Russia.

Доп.точки доступа:
Zeyliger, Anatoly; Музалевский, Константин Викторович; Russian Foundation for Basic ResearchRussian Foundation for Basic Research (RFBR) [19-29-05261 mk]; Ministry of Science and Higher Education of the Russian Federation [0287-2021-0034]
}
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leskova, J.
Arctic lakes thickness measurement in the Lena river delta based on the Sentinel-1 observations / J. leskova, K. V. Muzalevskiy, Z. Ruzicka // E3S Web Conf. - 2021. - Vol. 333: Regional Problems of Earth Remote Sensing (RPERS 2021). - Ст. 01007, DOI 10.1051/e3sconf/202133301007. - 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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Держатели документа:
Siberian Federal University, Krasnoyarsk, 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

Доп.точки доступа:
Muzalevskiy, K. V.; Музалевский, Константин Викторович; Ruzicka, Z.; Ружичка, Зденек; Regional Problems of Earth Remote Sensing(Sept. 14-17 2021 ; Krasnoyarsk, Russian Federation); "Региональные проблемы дистанционного зондирования Земли", международная конференция(8 ; 2021 ; 14-17 сент. ; Красноярск); Сибирский федеральный университет
}
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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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10.

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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