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    Музалевский, Константин Викторович.
    Восстановление температуры поверхности тундровой почвы на основе поляриметрических данных радиометра AMSR2 спутника GCOM-W1 / К. В. Музалевский, З. Ружичка // Совр. пробл. дистан. зондир. Земли из космоса. - 2019. - Т. 16, № 4. - С. 293-297, DOI 10.21046/2070-7401-2019-16-4-293-297. - Библиогр.: 6. - Исследование выполнено при финансовой поддержке Программы II.12.1. приоритетных направлений и программ фундаментальных исследований СО РАН. . - ISSN 2070-7401. - ISSN 2411-0280
   Перевод заглавия: Retrieving surface temperature of tundra soil based on AMSR2 polarimetric brightness observations
Кл.слова (ненормированные):
радиометрия -- радиояркостная температура -- температура почвы -- арктическая тундра -- radiometry -- brightness temperature -- soil temperature -- Arctic tundra
Аннотация: В настоящем кратком сообщении предлагается полуэмпирический метод дистанционной оценки температуры поверхности тундровой почвы на основе поляриметрических данных радиометра AMSR2, установленного на спутнике GCOM-W1. С использованием простой модели радиотеплового излучения, полученной на основе закона Кирхгофа в приближении диэлектрически однородного изотермического полупространства, задача сведена к нахождению эффективной температуры и отражательной способности подстилающей поверхности из двух измеренных значений радиояркостной температуры на вертикальной и горизонтальной поляризации и частоте 6,9 ГГц. Однозначность обратной задачи была обеспечена за счёт установленной линейной связи между обратными величинами поляризационного индекса и разностью отражательных способностей, измеренных на горизонтальной и вертикальной поляризациях. Калибровка двух параметров этой линейной регрессии была выполнена на двух тестовых участках Северного склона Аляски в течение 7 лет с 2012 по 2018 г. В результате было показано, что восстановленные значения температуры почвы со стандартным отклонением около 3,0 К и коэффициентом корреляции 0,83 соответствуют температурам поверхности почвы, которые были измерены метеостанциями на двух калибровочных и двух дополнительных тестовых участках, расположенных в различных ландшафтных условиях арктической тундры.
The paper proposes a semi-empirical method for remote sensing of surface temperature of tundra soil based on polarimetric data of the AMSR2 radiometer installed on GCOM-W1 satellite. Using a simple microwave emission model based on the Kirchhoff law and obtained for a dielectric-homogeneous isothermal half-space, the problem was reduced to retrieving of the effective temperature and reflectivity of observed surface from two brightness temperatures measured at the vertical and horizontal polarization at a frequency of 6.9 GHz. The uniqueness of the inverse problem was ensured by the established linear relation between the inverse values of the polarization index and the difference in reflectivity, measured at the horizontal and vertical polarizations. The calibration of two parameters of the linear regression was performed on two test sites in the North Slope of Alaska for 7 years from 2012 to 2018. As a result, it was shown that the recovered soil temperature values with a standard deviation of about 3.0 K and a correlation coefficient of 0.83 corresponded to the temperature of the soil surface, as measured by weather stations, on four test sites located in different landscape conditions of the Arctic tundra. Two of the four test sites were additional to the calibration ones.

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Держатели документа:
Институт физики им. Л. В. Киренского СО РАН - обособленное подразделение ФИЦ КНЦ СО РАН, Красноярск, 660036, Россия

Доп.точки доступа:
Ружичка, Зденек; Ruzicka, Z.; Muzalevskiy, K. V.
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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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    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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    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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    Первое применение отечественного спутника «Метеор-М» № 2 для дистанционного зондирования влажности и температуры тундровой почвы / К. В. Музалевский [и др.] // Совр. пробл. дистан. зондир. Земли из космоса. - 2017. - Т. 14, № 7. - С. 100-118, DOI 10.21046/2070-7401-2017-14-7-100-118. - Библиогр.: 26. - Исследование выполнено при финансовой поддержке Российского фондаментальных исследований, Правительства Красноярского края, Красноярского краевого фонда поддержки научной и научно-технической деятельности в рамках научного проекта No 16-45-242162, а также Программы II.12.1. «базовых» фундаментальных исследований СО РАН. Кроме того, хотим выразить благодарность анонимному рецензенту за замечания, которые позволили улучшить качество статьи. фунда . - ISSN 2070-7401. - ISSN 2411-0280
   Перевод заглавия: First application of Russian Meteor-M2 satellite for remote sensing of moisture and temperature of the tundra soil
Кл.слова (ненормированные):
«Метеор-М» -- микроволновая радиометрия -- модель микроволнового излучения почв -- температура почвы -- влажность почвы -- арктическая зона -- Meteor-M -- Microwave radiometry -- Model of soil microwave emission -- Soil temperature -- Soil moisture -- The Arctic zone
Аннотация: В данной работе представлены результаты дистанционного зондирования температуры и влажности талого тундрового почвенного покрова на двух тестовых участках п-ова Таймыр с использованием поляриметрических наблюдений радиояркостной температуры на частоте 10,7 ГГц радиометром МТВЗА-ГЯ спутника «Метеор-М» № 2. Расположение пикселя зондирования радиометра МТВЗА-ГЯ было выбрано в районе г. Норильска и села Хатанга на п-ове Таймыр. Исследование охватывает период с 1 января по 31 декабря 2015 г. Метод восстановления температуры и влажности почвы основан на решении обратной задачи минимизацией нормы невязки между наблюдаемыми и рассчитанными значениями радиояркостной температуры. Расчет радиояркостной температуры проведен с использованием полуэмпирической модели радиотеплового излучения, параметры которой были предварительно откалиброваны на тестовых участках в районе г. Норильска и села Хатанга, а также модели комплексной диэлектрической проницаемости почвы с высоким содержанием органического вещества. Модель комплексной диэлектрической проницаемости почвенного покрова была создана в лабораторных условиях с использованием методов диэлектрической спектроскопии почвенных образцов, отобранных на тестовом участке в районе г. Норильска. Среднеквадратическое отклонение между восстановленными и измеренными значениями температуры и влажности почвы оказались не более 6,5 °С и 0,06 см3/см3 соответственно. Полученный результат указывает на перспективность использования поляриметрических наблюдений радиояркостной температуры на частоте 10,7 ГГц радиометром МТВЗА-ГЯ отечественного спутника «Метеор-М» № 2 для измерения температуры и влажности арктической тундровой почвы.
This paper presents the results of remote sensing of temperature and moisture of thawed tundra soil on two test sites of the Taimyr Peninsula using polarimetric observations of the brightness temperature at a frequency of 10.7 GHz by the MTVZA-GY radiometer of the Meteor-M2 satellite. The footprints of the MTVZA-GY radiometer were chosen in the areas of Norilsk and Khatanga cities on the Taimyr Peninsula. The study covers the period from January 1 to December 31, 2015. The retrieving method of soil temperature and soil moisture is based on solving an inverse problem by minimizing the norm between observed and calculated values of the brightness temperature. The calculation of the brightness temperature was carried out using a semi-empirical model of microwave emission, the parameters of which were previously calibrated on the test areas of Norilsk and Khatanga cities, as well as using permittivity model of tundra soil with a high content of organic matter. The permittivity model of tundra soil was created in laboratory conditions using methods of dielectric spectroscopy and soil samples, which were taken at a test area close to Norilsk city. The root-mean-square error between the retrieved and measured values of soil temperature (soil moisture) were no more than 6.5 °C (0.06 cm3/cm3). The obtained results indicates the prospect of using polarimetric observations of the brightness temperature at a frequency of 10.7 GHz by the MTVZA-GY radiometer on Russian Meteor-M2 satellite to measure the surface temperature and moisture of the Arctic tundra soil.

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Держатели документа:
Институт физики им. Л.В. Киренского СО РАН- обособленное подразделение ФИЦ КНЦ СО РАН, Красноярск, Россия
Сибирский Центр "НИЦ "Планета", Новосибирск, Россия
Научно-исследовательский институт сельского хозяйства и экологии Арктики, Норильск, Россия

Доп.точки доступа:
Музалевский, Константин Викторович; Muzalevskiy, K. V.; Ружичка, Зденек; Ruzicka, Z.; Savin, I. V.; Савин, Игорь Викторович; Захватов, М. Г.; Гончаров, В. В.; Сариев, А. Х.; Каравайский, Андрей Юрьевич; Karavaysky, A. Yu.
}
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    Soil moisture retrieval in the North Slope of Alaska from GCOM-W1/AMSR2 and Meteor-M No. 2/MTVZA-GYa radiometers data / K. V. Muzalevskiy [et al.] // Progr. Electromag. Res. Symp. (PIERS) : Proceedings. - 2017. - P. 1442-1448DOI 10.1109/PIERS.2017.8261974. - Cited References: 12. - The reported study was funded by Russian Foundation for Basic Research, Government of Krasno-yarsk Territory, Krasnoyarsk Region Science and Technology Support Fund to the research project No. 16-45-242162, the Program of Presidium of the Russian Academy of Sciences “Arctic” and Program of SB RAS II.12.1.
   Перевод заглавия: Восстановление влажности почвы на северном склоне Аляски по радиометрическим данным спутников GCOM-W1/AMSR2 и Метеор-M No. 2/MTVZA-GYa
Аннотация: In this paper, for the Arctic tundra region in the North Slope of Alaska, calibration of microwave emission model on the basis of AMSR2 and MTVZA-GYa radiometric data of the GCOM-W1 and Meteor-M No. 2 satellites, respectively were carried out. The GCOM-W1 and Meteor-M No. 2 brightness temperature data covered the period from January 1, 2012 to December 31, 2016 and January 1 to December 31, 2015, respectively. The peculiarity of the proposed calibration lies in the use of biomass vegetation and soil temperature estimations from the AMSR2 and the MTVZA-GYa radiometers observations with using empirical relationships. To estimate the vegetation biomass and soil temperature were proposed calibration curves linking brightness temperatures, measured by the radiometers, with the aboveground phytomass which was estimated from MODIS NDVI data, and with soil temperature which was measured by weather stations in-situ. As a result was shown that the proposed calibration allows to retrieve soil moisture at the test sites in North Slope of Alaska with determination coefficient of 0.46–0.52 and RMSE of 0.06–0.1 cm3/cm3. The study shows the potential possibility of carrying out the calibration of emission model, which improves the accuracy of the measurement of soil moisture in the Arctic region compared to existing satellite information products. This study demonstrates the possibility of using radiometer MTVZA-GYa on aboard of the Russian satellite Meteor-M No. 2 to measure soil moisture in the Arctic region. Found empirical relationships between brightness temperatures and surface soil temperature and aboveground phytomass at the test sites allows to predict these values from GCOM-W1 and Meteor-M No. 2 observations in the range of RMSE 53–54g/m2 and 1–1.5K, respectively.

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Muzalevskiy, K. V.; Музалевский, Константин Викторович; Ruzicka, Z.; Ружичка, Зденек; Zahvatov, M. G.; Muskett, R. R.; Fomin, S. V.; Фомин, Сергей Викторович; Progress in Electromagnetics Research Symposium(38 ; 2017 ; May, 22 - 25 ; St Petersburg, Russia)
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First use of the Meteor-M No. 2/MTVZA-GYa radiometer for remote sensing of soil moisture and temperature in the Arctic region / K. V. Muzalevskiy [et al.] // Progress in Electromagnetics Research Symposium - Spring : IEEE, 2017. - P1426-1429, DOI 10.1109/PIERS.2017.8261971. - Cited References: 7. - The reported study was funded by Russian Foundation for Basic Research, Government of Krasnoyarsk Territory, Krasnoyarsk Region Science and Technology Support Fund to the research project 16-45-242162, the Program of Presidium of the Russian Academy of Sciences "Arctic" and Program of SB RAS II.12.1. . - ISBN 978-1-5090-6269-0

РУБ Engineering, Electrical & Electronic

Аннотация: In this paper, the results of radiothermal remote sensing of moisture and temperature of thawed soil on a test site in the Taymyr Peninsula using full-polarimetric observations of brightness temperature at the frequency of 10.7 GHz are presented. The brightness temperature data were obtained from MTVZA-GYa radiometer on a board of Meteor-M No. 2 satellite with footprint area near the Norilsk city and Khatanga, the Russia Federation. The MTVZA-GYa data covered the period from January 1 to December 31, 2015. The method to retrieve the soil moisture and temperature was based on solving an inverse problem by minimizing the norm of the residuals between the observed and predicted values of the brightness temperature. The calculation of the brightness temperature was performed using a semi-empirical model of radio-thermal emission the parameters of which have been pre-calibrated at the test sites in the area of Norilsk and Khatanga, as well as using a soil dielectric model with high in organic matter. The dielectric model was especially designed based on laboratory measurements of the complex permittivity of the organic-rich soil samples, which were collected at the test site near Norilsk city. As a result, the values of the root-mean-square error between the retrieved and measured soil temperatures and soil moisture were not exceed 6.5o 0.06cm3/cm3, respectively for both test sites. These results indicate the perspectives of using the full-polarimetric observations of MTVZA-GYa radiometer on a board of Meteor-M No. 2 satellite in the X-band for the purpose of measuring the soil temperature and soil moisture in the Arctic region.

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Держатели документа:
Fed Res Ctr KSC SB RAS, Kirensky Inst Phys, Krasnoyarsk, Russia.
Siberian Ctr FGBU SRC Planeta, Novosibirsk, Russia.

Доп.точки доступа:
Muzalevskiy, K. V.; Музалевский, Константин Викторович; Ruzicka, Z.; Ружичка, Зденек; Zahvatov, M. G.; Savin, I. V.; Савин, Игорь Викторович; Karavaysky, A. Yu.; Каравайский, Андрей Юрьевич; Russian Foundation for Basic Research, Government of Krasnoyarsk Territory, Krasnoyarsk Region Science and Technology Support Fund [16-45-242162]; Program of Presidium of the Russian Academy of Sciences; [SB RAS II.12.1]; Progress in Electromagnetics Research Symposium - Spring 2017(May 22-25, 2017 ; St Petersburg)
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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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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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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.

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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11.

    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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12.

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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13.

    Лескова, Ю. А.
    Измерение толщины льда арктических озер в дельте реки Лены по наблюдениям спутника sentinel-1 / Ю. А. Лескова, К. В. Музалевский, З. Ружичка // Региональные проблемы дистанционного зондирования Земли : материалы VIII Международной научной конференции. - Красноярск, 2021. - С. 95-98. - Библиогр.: 5 . - ISBN 978-5-7638-4566-2
   Перевод заглавия: Measuring the ice thickness of arctic lakes in the Lena river delta using sentinel-1 observations
Аннотация: В данной работе исследуются возможности дистанционного зондирования толщины льда пресноводных озёр на основе данных спутника Sentinel-1. В качестве тестового участка выбран о. Курунгнах, расположенный в дельте реки Лена, на котором было отобрано 10 озёр, промерзающих и не промерзающих до дна. По данным тестовым озёрам проанализированы временные ряды коэффициента обратного радарного рассеяния (КОР), измеренного Sentinel-1 на горизонтально-горизонтальной поляризации при угле 18-20 с сентября 2015 по июнь 2017 гг. в сверхширокозахватном режиме съемки (EW). Толщина льда озёр оценивалась на основе модели Лебедева и температуры воздуха по данным Европейского центра среднесрочных прогнозов погоды (ECMWF ERA5). Показано, что со среднеквадратическим отклонением 13,5-25,3 см и коэффициентом детерминации 0,70-0,79 зависимость КОР от толщин льда (120-140 см) описывается линейной зависимостью. Проведенные исследования показывают перспективность применения радарных данных Sentinel-1 для дистанционного зондирования толщины льда пресноводных арктических озёр.

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

Доп.точки доступа:
Музалевский, Константин Викторович; Muzalevskiy, K. V.; Ружичка, Зденек; Ruzicka, Z.; "Региональные проблемы дистанционного зондирования Земли", международная конференция(8 ; 2021 ; 14-17 сент. ; Красноярск); Сибирский федеральный университет; "Роскосмос", Государственная корпорация по космической деятельности
}
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14.

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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15.

Применение радиометрических данных спутника Метеор М NO2 для измерения влажности почвы на тестовых участках северного склона Аляски / К. В. Музалевский [и др.] // Актуальные пробл. радиофизики, междунар. науч.-практич. конф. : сб. трудов : STT, 2017. - Секция: Зондирование и диагностика природных сред. - С. 77-81 . - ISBN 978-5-93629-606-2

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

Доп.точки доступа:
Музалевский, Константин Викторович; Muzalevskiy, K. V.; Ружичка, Зденек; Ruzicka, Z.; Захватов, М. Г.; Савин, Игорь Викторович; Savin, I. V.; Muskett, R. R.; Pomanovsky, V. E.; "Актуальные проблемы радиофизики", международная научно-практическая конференция(7 ; 2017 ; 18-22 сент. ; Томск); "Current Trends in Radiophysics", International Conference(7 ; 2017 ; 18-22 Sept. ; Tomsk); Томский государственный университет
}
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16.

Muzalevskiy, K. V.
Multifrequency radiometric method of the temperature profile measurement in the active topsoil / K. V. Muzalevskiy, Z. Ruzhecka, V. L. Mironov // Radiophys. Quantum Electron. - 2015. - Vol. 58, Is. 5. - P. 339-349, DOI 10.1007/s11141-015-9608-z. - Cited References:17. - This work was performed within the framework of the State task No. 2.914.2014/K of the Ministry of Education and Science of the Russian Federation and Program No. II.12.1 "Radiometric and Acoustic Method of Remote Sensing of the Natural Environment" of the Siberian Branch of the Russian Academy of Sciences. . - ISSN 0033-8443. - ISSN 1573-9120

РУБ Engineering, Electrical & Electronic + Physics, Applied
Рубрики:
L-BAND
   MICROWAVE EMISSION
   DIELECTRIC MODEL
   ARCTIC SOIL
   SURFACE
   TUNDRA
Аннотация: In this theoretical paper, we propose a method for measuring the temperature profile in the active topsoil of the Arctic tundra using observations of the brightness temperature for two different polarizations of the radiation at frequencies of 1.4, 6.93, 7.3, and 10.7 GHz. A multifrequency physical model of microwave emission of bare soil, a dielectric model of the Arctic tundra soil, and temperature profiles, which were measured in the active topsoil at the Toolik field station on the Alaska North Slope, were used to calculate the observed values of the brightness temperature. Temperature profiles were retrieved from the observed values of the brightness temperature in the approximation of a piecewise-linear profile of topsoil temperature during 2010–2011. Correlation analysis of the temperature profiles measured at the Toolik station and retrieved from the radiometric data has shown that in winter the error of measurement of the soil temperature at depths of 0.6 and 16.0 cm in terms of the variance (correlation coefficient) does not exceed 2.3 (0.98) and 7.2 (0.62°C), respectively. In summer, the error of measurement of the soil temperature using the radiometric method is two times less than in winter.

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Публикация на русском языке Музалевский, Константин Викторович. Многочастотный радиометрический метод измерения глубинного профиля температуры в деятельном слое почвы [Текст] / К. В. Музалевский, З. З. Ружечка, В. Л. Миронов // Изв. вузов. Радиофиз. - Нижний Новгород : Науч.-исслед. радиофиз. ин-т, 2015. - Т. 58 № 5. - С. 376-388

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

Доп.точки доступа:
Ruzhecka, Z.; Ружичка, Зденек; Mironov, V. L.; Миронов, Валерий Леонидович; Музалевский, Константин Викторович
}
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17.

Muzalevskiy, K. V.
Retrieving soil temperature at a test site on the yamal peninsula based on the SMOS brightness temperature observations / K. V. Muzalevskiy, Z. Ruzicka // IEEE J. Sel. Top. Appl. Earth Observ. Remote Sens. - 2016. - Vol. 9, Is. 6. - P. 2468-2477, DOI 10.1109/JSTARS.2016.2553220. - Cited References:36 . - ISSN 1939-1404. - ISSN 2151-1535

РУБ Engineering, Electrical & Electronic + Geography, Physical + Remote
Рубрики:
MICROWAVE DIELECTRIC MODEL
LAND-SURFACE TEMPERATURES
ARCTIC SOIL
Кл.слова (ненормированные):
Arctic regions -- microwave radiometry -- moisture measurement -- soil -- measurements -- temperature measurement
Аннотация: In this paper, the results of radiothermal remote sensing of soil temperature at a test site on the Yamal Peninsula using full-polarimetry multiangular brightness temperature (BT) observations at the frequency of 1.4 GHz are presented. The BT data were obtained from the Soil Moisture and Ocean Salinity (SMOS) satellite with the SMOS footprint near the Polar Weather Station Marresale, the Russia Federation. The SMOS data covered the period from January 1, 2013 to December 31, 2013. The method to retrieve the soil temperature was based on solving an inverse problem by minimizing the norm of the residuals between the observed and predicted values of the BTs. The calculation of the BT was performed using a semiempirical model of radiothermal emission, which incorporated an attenuation of the microwaves in the snow pack or the canopy and a temperature-dependent multirelaxation spectral dielectric model (TD MRSDM) for an organic-rich tundra soil. The TD MRSDM was specifically designed based on laboratory measurements of the complex permittivity of the organic-rich soil samples, which were collected at the test site on the Yamal Peninsula. As a result, the values of the root-mean-square error and the determination coefficient between the retrieved and measured soil temperatures were determined to be 2.2 degrees C and 0.70 and 3.5 degrees C and 0.52, respectively, for thawed frozen soil. These results indicate the perspectives of using the full-polarimetric multiangular BT observations in the L-band for the purpose of measuring the soil temperature in the Arctic region.

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Доп.точки доступа:
Ruzicka, Z.; Ружичка, Зденек; Музалевский, Константин Викторович; IEEE International Geoscience and Remote Sensing Symposium(2015 ; July ; 26-31 ; Milan, ITALY)
}
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18.

    Muzalevskiy, K. V.
    Measuring Temperature Profile Using Multi-Frequency Microwave Radiometric Observation-Theoretical Modeling / K. V. Muzalevskiy, Z. Ruzhecka // International Siberian Conference on Control and Communications (SIBCON) (MAY 21-23, 2015, Omsk, RUSSIA) : IEEE, 2015. - Cited References:8 . - ISBN 978-1-4799-7103-9
Рубрики:
ARCTIC SOIL
   BOREAL
Кл.слова (ненормированные):
SMOS -- GCOM-W1 -- Soil temperature -- permafrost -- Artic tundra
Аннотация: In this theoretical paper, we propose method for the measurement of temperature profile in the topsoil of Arctic tundra using observations of brightness temperature at frequencies of 1.4, 6.93, 7.3 and 10.7 GHz. A multi-frequency physical model of microwave emission of bare soil and dielectric model of Arctic tundra soil, with temperature profiles, which were measured in the active topsoil with using Toolik climate station on the North Slope of Alaska, were used to calculate "measured" values of brightness temperature. In the approximation of piecewise linear profile of soil temperature, from the "measured" values of brightness temperature were retrieved temperature profiles and were compared with ones, which were measured at the Toolik station from 2010 to 2011. The retrieved values of soil temperatures at the depth of 0.6cm and 16.0cm deviated from measured ones by 1.3 degrees C and 3.2 degrees C in terms of root-mean-square error, and by 0.92 and 0.62 in terms of determination coefficient, respectively.

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Доп.точки доступа:
Ruzhecka, Z.; Ружичка, Зденек; Музалевский, Константин Викторович
}
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19.

Muzalevskiy, K. V.
Measuring temperature profile using multi-frequency microwave radiometric observation-theoretical modeling / K. V. Muzalevskiy, Z. Ruzicka // Int. Sib. Conf. on Control and Communicat. (SIBCON 2015) : Proceedings : IEEE-Institute Electrical and Electronics Engineers, 2015, DOI 10.1109/SIBCON.2015.7147153 . - ISBN 9781479971022 (ISBN)
Кл.слова (ненормированные):
Artic tundra -- GCOM-W1 -- permafrost -- SMOS -- Soil temperature -- Climate models -- Landforms -- Luminance -- Mean square error -- Permafrost -- Piecewise linear techniques -- Soils -- Temperature -- Temperature control -- Artic tundra -- Brightness temperatures -- Determination coefficients -- GCOM-W1 -- Measurement of temperature -- Root mean square errors -- SMOS -- Soil temperature -- Soil surveys
Аннотация: In this theoretical paper, we propose method for the measurement of temperature profile in the topsoil of Arctic tundra using observations of brightness temperature at frequencies of 1.4, 6.93, 7.3 and 10.7 GHz. A multi-frequency physical model of microwave emission of bare soil and dielectric model of Arctic tundra soil, with temperature profiles, which were measured in the active topsoil with using Toolik climate station on the North Slope of Alaska, were used to calculate "measured" values of brightness temperature. In the approximation of piecewise linear profile of soil temperature, from the 'measured' values of brightness temperature were retrieved temperature profiles and were compared with ones, which were measured at the Toolik station from 2010 to 2011. The retrieved values of soil temperatures at the depth of 0.6cm and 16.0cm deviated from measured ones by 1.3°C and 3.2°C in terms of root-mean-square error, and by 0.92 and 0.62 in terms of determination coefficient, respectively. © 2015 IEEE.

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Доп.точки доступа:
Ruzicka, Z.; Ружичка, Зденек; Музалевский, Константин Викторович; International Siberian Conference on Control and Communications(11 ; 2015 ; May 21-23 ; Omsk)
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20.

    Швецов, Е. Г.
    Исследование применимости данных SMOS для оценки уровня пожарной опасностина территории Красноярского края / Е. Г. Швецов, З. Ружичка, В. Л. Миронов // Вестник СибГАУ. - 2013. - № 2. - С. 110-115
   Перевод заглавия: Investigation of possibilities of using SMOS data for fire danger assessment at the territory of Krasnoyarsk region
Кл.слова (ненормированные):
спутник SMOS -- влажность поверхности Земли -- пожарная опасность -- satellite SMOS -- soil moisture -- fire danger
Аннотация: Представлены результаты корреляционного анализа влажности поверхности Земли по данным спутника SMOS и уровня пожарной опасности по условиям погоды, рассчитанного по данным наземных метеостанций, расположенных на территории Красноярского края. Для центральных и южных районов края между измеряемой влажностью поверхности и уровнем пожарной опасности получены значения коэффициентов корреляции, равные –0,45…–0,7. В то же время для северных районов края коэффициенты корреляции имели близкие к нулю или положительные значения. С использованием классификатора GLC2000 определены типы растительности в рассмотренных районах. Сделан вывод, что временные ряды влажности поверхности, полученные по данным спутника SMOS, удовлетворительно описывают динамику изменения уровня пожарной опасности только для территорий, занятых не лесными типами растительности.
The results of correlation analysis of soil moisture, according to SMOS satellite data, and fire danger index, calculated from data measured by weather stations, within the territory of Krasnoyarsk region are presented. For the centraland southern parts of Krasnoyarsk region the values of correlation coefficients between soil moisture and fire danger were –0.45…–0.7. At the same time, correlation coefficients were close to zero or had positive values at the northern area of the region. Vegetation types were identified using GLC2000 classification. It was concluded that time series of soil moisture, obtained by satellite SMOS, satisfactory describe the dynamics of change of level of fire danger indices just for the territories covered by non-forest types of vegetation.

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

Доп.точки доступа:
Ружичка, Зденек; Ruzicka, Z.; Миронов, Валерий Леонидович; Mironov V. L.
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