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    Mironov, V. L.
    Impact of a freezing topsoil on determining the Arctic tundra surface deformation using InSAR / V. L. Mironov, K. V. Muzalevskiy ; ed. VL Mironov. - 1Int. Sib. Conf. on Control and Communicat. : Proc. - 2013. - Ст. 6693624, DOI 10.1109/SIBCON.2013.6693624. - Cited References: 8 . - ISSN 978-1-479. - ISSN 978-14799
   Перевод заглавия: Влияние процесса замерзания почвы на определение деформации поверхности почвы арктической тундры с использованием InSAR

РУБ Engineering, Electrical & Electronic + Telecommunications

Кл.слова (ненормированные):
SAR Interferometry (InSAR) -- SMAP -- ALOS -- permafrost -- Arctic tundra soil -- active layer -- freezing -- thawing -- soil temperature
Аннотация: In this paper, we study the effect of the layered structure of the active topsoil of the Arctic tundra during freezing on the error of determining surface deformation. A simple Bragg scattering model was used for surface scattering modeling. The simulation was performed in the L-band for future radar missions SMAP and ALOS-2. The soil permittivity is calculated using the temperature-dependent generalized refractive mixing dielectric model for the organic rich soil sample collected in North Slope, Alaska (68 degrees 38'N, 149 degrees 35'W). This model predicts the complex dielectric constant of moist soil both thawed and frozen at temperatures from -30 degrees C to +25 degrees C and moistures from 0 to 0.94 g/g. It is shown that the error of determining soil surface deformation, induced by processes of freezing of the permafrost active layer, does not exceed 1.5 cm.

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Доп.точки доступа:
Muzalevskiy, K. V.; Музалевский, Константин Викторович; Mironov, V. L. \ed.\; Миронов, Валерий Леонидович; International Siberian Conference on Control and Communications(10 ; 2013 ; Sept. 12-13 ; Krasnoyarsk)
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    Modelling the passive microwave signature from land surfaces: A review of recent results and application to the L-band SMOS & SMAP soil moisture retrieval algorithms / J. -P. Wigneron [et al.] // Remote Sens. Environ. - 2017. - Vol. 192. - P. 238-262, DOI 10.1016/j.rse.2017.01.024. - Cited References: 187. - This research work was funded by CNES (Centre National d'Etudes Spatiales) through the Science TOSCA (Terre Océan Surfaces Continentales et Atmosphère) program. The authors wish to thank the three anonymous reviewers for their helpful comments and Sylvie Renaud (IMS) for fruitful discusions. . - ISSN 0034-4257
   Перевод заглавия: Моделирование пассивного микроволнового излучения с наземных поверхностей: обзор последних результатов и применение к алгоритмам восстановления влажности почвы космическими аппаратами SMOS и SMAP в L-диапазоне
Кл.слова (ненормированные):
Atmospheric temperature -- Climate models -- Moisture -- Moisture control -- Scanning antennas -- Soils -- Vegetation -- Experimental campaign -- Microwave brightness temperature -- Passive microwave signatures -- Semiempirical models -- Soil moisture retrievals -- Surface soil moisture -- Surface temperatures -- System configurations -- Soil moisture
Аннотация: Two passive microwave missions are currently operating at L-band to monitor surface soil moisture (SM) over continental surfaces. The SMOS sensor, based on an innovative interferometric technology enabling multi-angular signatures of surfaces to be measured, was launched in November 2009. The SMAP sensor, based on a large mesh reflector 6 m in diameter providing a conically scanning antenna beam with a surface incidence angle of 40°, was launched in January of 2015. Over the last decade, an intense scientific activity has focused on the development of the SM retrieval algorithms for the two missions. This activity has relied on many field (mainly tower-based) and airborne experimental campaigns, and since 2010–2011, on the SMOS and Aquarius space-borne L-band observations. It has relied too on the use of numerical, physical and semi-empirical models to simulate the microwave brightness temperature of natural scenes for a variety of scenarios in terms of system configurations (polarization, incidence angle) and soil, vegetation and climate conditions. Key components of the inversion models have been evaluated and new parameterizations of the effects of the surface temperature, soil roughness, soil permittivity, and vegetation extinction and scattering have been developed. Among others, global maps of select radiative transfer parameters have been estimated very recently. Based on this intense activity, improvements of the SMOS and SMAP SM inversion algorithms have been proposed. Some of them have already been implemented, whereas others are currently being investigated. In this paper, we present a review of the significant progress which has been made over the last decade in this field of research with a focus on L-band, and a discussion on possible applications to the SMOS and SMAP soil moisture retrieval approaches. © 2017 Elsevier Inc.

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Держатели документа:
ISPA, INRA Bordeaux, France
USDA, Beltsville, MD, United States
NASA/GSFC, Greenbelt, MD, United States
KULeuven, Heverlee, Belgium
ECMWF, Reading, United Kingdom
Monash University, Australia
University of Rome Tor Vergata, Italy
Kirenski Institute, Krasnoyarsk, Russian Federation
CESBIO, Universite de Toulouse, CNES/CNRS/IRD/UPS, Toulouse, France
Netherlands Space Office (NSO), The Hague, Netherlands
Mississippi State University, MS, United States
Gamma Remote Sensing and WSL-Birmensdorf, Switzerland
NASA/JPL, Pasadena, CA, United States
CARTEL, University of Sherbrooke, Canada
ESA ESRIN, Roma, Italy

Доп.точки доступа:
Wigneron, J. -P.; Jackson, T. J.; O'Neill, P.; De Lannoy, G.; de Rosnay, P.; Walker, J. P.; Ferrazzoli, P.; Mironov, V. L.; Миронов, Валерий Леонидович; Bircher, S.; Grant, J. P.; Kurum, M.; Schwank, M.; Munoz-Sabater, J.; Das, N.; Royer, A.; Al-Yaari, A.; Al Bitar, A.; Fernandez-Moran, R.; Lawrence, H.; Mialon, A.; Parrens, M.; Richaume, P.; Delwart, S.; Kerr, Y.
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    Muzalevskiy, K. V.
    Signatures of Sentinel-1 Radar and SMAP Radiometer Depending on the Temperature of Frozen Arctic Soil in the Cooling and Heating Process of the Active Layer / K. V. Muzalevskiy, Z. Ruzicka // IEEE International Geoscience and Remote Sensing Symposium (IGRASS) : Proceedings. - 2018. - P. 7176-7179, DOI 10.1109/IGARSS.2018.8517538. - Cited References: 12. - The study was performed thanks to a grant from the Program of SB RAS II.12 (№0356-2017-0034) and project № 0356-2018-0060 . - ISSN 978-1-538
   Перевод заглавия: Температурные зависимости сечения обратного радарного рассеяния спутника Sentinel-1 и радиояркостной температуры спутника SMAP в процессе нагревания и охлаждения деятельного слоя тундровой почвы
Аннотация: In this paper, the results of radiothermal and radar remote sensing of several Arctic tundra test sites were investigated to establish the dependences of the reflectivity and backscattering coefficient on soil temperature. The brightness temperature and backscattering coefficient were measured by a SMAP radiometer (1.4GHz) and Sentinel-1 radar (5.4GHz) over areas near to Franklin Bluffs weather station in the North Slope of Alaska and Isachsen weather station on Ellef Ringnes Island respectively. It has been experimentally and theoretically shown that between the surface soil temperature measured by weather stations in the period 2015-2016 and the reflectivity or backscattering coefficient there is a strong correlation relationship no worse than 0.68. In addition, in the range of soil surface temperature changes from -30°C to 0°C, the variations in the backscattering coefficient and reflectivity are about 4 dB for both test sites. This study contributes to further understanding the processes of microwave emission and scattering of frozen Arctic soils that is pertinent to developing new remote sensing algorithms for the permafrost region.

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Доп.точки доступа:
Ruzicka, Z.; Ружичка, Зденек; 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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    Muzalevskiy, K. V.
    Detection of soil freeze/thaw states in the Arctic region based on combined SMAP and AMSR-2 radio brightness observations / K. Muzalevskiy, Z. Ruzicka // Int. J. Remote Sens. - 2020. - Vol. 41, Is. 14. - P. 5046-5061, DOI 10.1080/01431161.2020.1724348. - Cited References: 36. - This study was funded by the SB RAS Program (project No. 0356-2019-0004). . - ISSN 0143-1161. - ISSN 1366-5901
   Перевод заглавия: Идентификация мёрзлого и талого состояния почвы в Арктическом регионе на основе данных наблюдений радиояркостной температуры SMAP и AMSR-2

РУБ Remote Sensing + Imaging Science & Photographic Technology
Рубрики:
L-BAND
   DIELECTRIC MODEL
   TEMPERATURE
   SURFACE
   FROZEN
   SMOS
Аннотация: In this study, a new approach to identify the freeze/thaw states of tundra topsoil was developed based on the polarization ratio index, which was calculated from the reflectivity values of soil. Reflectivity was estimated from radiometric measurements of the SMAP satellite using the values of vertical polarization brightness temperature measured by the AMSR-2 radiometer at 6.9 GHz; this value was used to characterize the effective temperature of the soil. The proposed approach was tested using weather station data on soil surface temperatures for six test sites located in the North Slope of Alaska and the Yamal Peninsula collected from April 2015 to June 2018. The modified polarization ratio index, calculated from values of reflectivity rather than from brightness temperatures, significantly improved the possibility of determining the reference values of the index in the winter and in the summer. During testing, the modified index showed a good correlation between the dates of transition through the threshold level and soil temperature transition through 0ºC, as recorded at meteorological stations.

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Держатели документа:
Russian Acad Sci, Lab Radiophys Earth Remote Sensing, Siberian Branch, Kirensky Inst Phys Fed Res Ctr,KSC, Krasnoyarsk, Russia.

Доп.точки доступа:
Ruzicka, Z.; Ружичка, Зденек; Музалевский, Константин Викторович; SB RAS Program [0356-2019-0004]
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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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    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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