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1.


   
    Evaluating an improved parameterization of the soil emission in L-MEB / J. P. Wigneron [et al.] // IEEE Trans. Geosci. Remote Sensing. - 2011. - Vol. 49, Is. 4. - P. 1177-1189, DOI 10.1109/TGRS.2010.2075935. - Cited References: 26 . - ISSN 0196-2892
Рубрики:
BAND MICROWAVE EMISSION
   SURFACE-ROUGHNESS

   1.4 GHZ

   MODEL

   MOISTURE

   LAND

   RADIOMETER

   FREQUENCY

   FIELDS

   SPACE

Кл.слова (ненормированные):
Microwave remote sensing -- radiometry -- roughness -- soil moisture (SM) -- Soil Moisture and Ocean Salinity (SMOS) -- soil surface
Аннотация: In the forward model [L-band microwave emission of the biosphere (L-MEB)] used in the Soil Moisture and Ocean Salinity level-2 retrieval algorithm, modeling of the roughness effects is based on a simple semiempirical approach using three main "roughness" model parameters: H-R, Q(R), and N-R. In many studies, the two parameters Q(R) and N-R are set to zero. However, recent results in the literature showed that this is too approximate to accurately simulate the microwave emission of the rough soil surfaces at L-band. To investigate this, a reanalysis of the PORTOS-93 data set was carried out in this paper, considering a large range of roughness conditions. First, the results confirmed that Q(R) could be set to zero. Second, a refinement of the L-MEB soil model, considering values of N-R for both polarizations (namely, N-RV and N-RH), improved the model accuracy. Furthermore, simple calibrations relating the retrieved values of the roughness model parameters H-R and (N-RH - N-RV) to the standard deviation of the surface height were developed. This new calibration of L-MEB provided a good accuracy (better than 5 K) over a large range of soil roughness and moisture conditions of the PORTOS-93 data set. Conversely, the calibrations of the roughness effects based on the Choudhury approach, which is still widely used, provided unrealistic values of surface emissivities for medium or large roughness conditions.

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Correction Evaluating an improved parameterization of the soil emission in L-MEB [Текст] : Correction (2011, Vol. 49, P. 1177) / J. P. Wigneron [et al.] // IEEE Trans. Geosci. Remote Sensing : IEEE-Institute Electrical and Electronics Engineers, 2013. - Vol. 51 Is. 5.- P.3200-3200


Доп.точки доступа:
Wigneron, J. P.; Chanzy, A.; Kerr, Y. H.; Lawrence, H.; Shi, J. C.; Escorihuela, M. J.; Mironov, V. L.; Миронов, Валерий Леонидович; Mialon, A.; Demontoux, F.; de Rosnay, P.; Saleh-Contell, K.; Workshop on Remote Sensing and Modeling of Surface Properties (2nd ; Jun 09-11, 2009 ; Toulouse, France)
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2.


    Mironov, V. L.
    Retrieving temperature gradient in frozen active layer of arctic tundra soils from radiothermal observations in L-Band-Theoretical modeling / V. L. Mironov, K. V. Muzalevskiy, I. V. Savin ; funding agency Siberian Branch of the Russian Academy of Sciences (SB RAS) // IEEE J. Sel. Top. Appl. Earth Observ. Remote Sens. - 2013. - Vol. 6, Is. 3. - Ст. 6520003. - P. 1781-1785, DOI 10.1109/JSTARS.2013.2262108. - Cited References: 20 . - ISSN 1939-1404
   Перевод заглавия: Восстановление градиента температуры в активном слое мерзлой почвы арктической тундры по данным радиометрических наблюдений в L-диапазоне. Теоретическое моделирование
Рубрики:
WATER
   RADIOMETER

   BOREAL

Кл.слова (ненормированные):
Active layer -- Arctic tundra soil -- freezing -- microwave remote sensing -- radiometry -- soil moisture and ocean salinity (SMOS) -- soil temperature -- temperature profile -- thawing
Аннотация: Possibility of remote sensing of both the surface temperature and the temperature gradient in the permafrost active layer from L-band brightness temperature observations is theoretically investigated at a SMOS frequency of 1.4 GHz. Bare soil emission is simulated based on the semi-empirical L-MEB model. The brightness temperature is simulated using the soil density, surface roughness, temperature, and moisture profiles measured in situ at the Biosphere Station Franklin Bluffs, Alaska, USA (69°39'N, 148°43'W) from September 2, 1999, to August 23, 2001. 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°38'N, 149°35'W). This model predicts the complex dielectric constant of moist soil both thawed and frozen at temperatures from-30°C to +25°C and moistures from 0 to 0.94 g/g. The brightness temperatures simulated for field-of-view angles from 0 to 60\circ are inverted into the temperature profiles, and their deviations from the temperature profiles measured in situ are estimated. The error in reconstructing temperature profiles is found to be no greater than 1.8 °C to depths of 0.15 m. © 2013 IEEE.

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Доп.точки доступа:
Muzalevskiy, K. V.; Музалевский, Константин Викторович; Savin, I. V.; Савин, Игорь Викторович; Миронов, Валерий Леонидович; Siberian Branch of the Russian Academy of Sciences (SB RAS)
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3.


    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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4.


    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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5.


    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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6.


    Muzalevskiy, K. V.
    Optimum frequency range for remote sensing of soil moisture with various texture, density and organic matter content / K. Muzalevskiy, S. Fomin, A. Karavayskiy // 2022 IEEE International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2022 : IEEE, 2022. - P. 1130-1133, DOI 10.1109/SIBIRCON56155.2022.10017095. - Cited References: 28. - The investigation supported by the Russian Science Foundation and the Krasnoyarsk Regional Science Foundation, project №22-17-20042
Кл.слова (ненормированные):
Microwave remote sensing -- radiolocation -- unmanned aerial vehicle -- soil permittivity -- soil moisture
Аннотация: In this article, the frequency range, within which the dependence of reflectivity on soil moisture is invariant respect to changes in soils texture, dry bulk density and organic matter content, has been established. The analysis is based on dielectric measurements of 16 natural mineral nonsaline soils in the frequency range from 45-100 MHz to 2 GHz. The moisture of soils varied from air dry to the field capacity. The clay, silt and sand content in the soil samples are ranging from 0% to 76%, from 1% to 93%, and from 0 to 100%, respectively. The dry bulk density and organic matter content in soil samples are ranging from 0.7 g/cm3 to 1.8g/cm3, and from 0.6% to 69%, respectively. As a result, it is shown, that the variations in texture, dry bulk density, and organic matter content of soils have the least effect in the frequency range from 125 MHz to 820 MHz (with minimum at a frequency of 350 MHz) on the dispersion of the dependence of refractive index on volumetric moisture. As an example, the case of smooth bare soil surface remote sensing at a frequency of 435 MHz is considered. It is shown that for the entire set of soils, a single calibration curve for conversion of reflectivity to volumetric soil moisture is sufficient to retrieve soil moisture with a root-mean square error of 2.1% and a determination coefficient of 0.981. The established frequency range can be recommended for microwave remote sensing methods of soil moisture measurement, not depended on soils texture.

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Держатели документа:
Laboratory of Radiophysics of the Earth Remote Sensing, Kirensky Institute of Physics Federal Research Center, KSC Siberian Branch, Russian Academy of Science, Krasnoyarsk, Russian Federation

Доп.точки доступа:
Fomin, S. V.; Фомин, Сергей Викторович; Karavayskiy, A. Yu.; Каравайский, Андрей Юрьевич; 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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7.


    Muzalevskiy, K. V.
    Calibration of UWB UAV radar for the remote measurement of reflection coefficient / K. Muzalevskiy, M. Mikhaylov, Z. Ruzicka // IEEE Ural-Siberian Conference on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT). - 2023. - P. 105-108, DOI 10.1109/USBEREIT58508.2023.10158870. - Cited References: 16. - The investigation supported by the Russian Science Foundation and the Krasnoyarsk Regional Science Foundation, project № 22-17-20042
Кл.слова (ненормированные):
Microwave remote sensing -- ultra-wide band remote sensing -- unmanned aerial vehicle -- log-periodic dipole antenna -- reflection coefficient
Аннотация: In this work, the possibility of the remote measurement of reflection coefficient in the ultra-wide frequency range from 425 MHz to 1010 MHz from the board of unmanned aerial vehicle (UAV) using ultra-wide band (UWB) radar was investigated. With this in mind, the antenna-feeder path of UAV UWB radar is calibrated. The calibration process consisted in measuring the reflection coefficient from the brass mesh sheet at various UAV hovering heights. Printed log-periodic dipole antenna was used as transmitter-receiver antenna. As a result, the antenna return loss in an empty-room and the complex antenna response function of the antenna-feeder path of the UAV UWB radar were found. It is shown that the amplitude of the reflected wave from a brass mesh sheet can be measured with root-mean square error (RMSE), RMSE=0.017 1/m and a determination coefficient (R 2 ) of R 2 = 0.967. Therewith the UAV hovering heights measured by the pulse method and the on-board laser rangefinder correlates with each other with R2=0.999 and with RMSE=3.5cm (distance measurement error of the laser rangefinder is ±1cm, surface irregularities of the brass mesh sheet were no more than 1.5cm). Measured in the frequency range from 500 MHz to 900 MHz, the reflection coefficient from fresh lake water by UAV UWB radar with a relative error of no more than 7.5% (practically does not depend on the height of the UAV hovering, approximately from 2.2 m to 5.2 m) coincides with the calculated one by the Stogryn's formulas.

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Держатели документа:
Laboratory of Radiophysics of the Earth Remote Sensing, Kirensky Institute of Physics Federal Research Center KSC Siberian Branch Russian Academy of Science, Krasnoyarsk, The Russian Federation

Доп.точки доступа:
Mikhaylov, M. I.; Михайлов, Михаил Иванович; Ruzicka, Z.; Ружичка, Зденек; Музалевский, Константин Викторович; IEEE Ural-Siberian Conference on Biomedical Engineering, Radioelectronics and Information Technology(15-17 May 2023 ; Yekaterinburg, Russia)
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8.


    Muzalevskiy, K. V.
    UWB reflectometric method for the measuring of vegetation biometric parameters and soil moisture / K. Muzalevskiy, S. Fomin, M. Mikhaylov // IEEE Ural-Siberian Conference on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT). - 2023. - P. 166-169, DOI 10.1109/USBEREIT58508.2023.10158880. - Cited References: 17. - The investigation supported by the Russian Science Foundation and the Krasnoyarsk Regional Science Foundation, project № 22-17-20042
Кл.слова (ненормированные):
Microwave remote sensing -- unmanned aerial vehicle -- ultra-wide band remote sensing -- reflection coefficient -- biomass -- vegetation water content -- soil moisture
Аннотация: In this article, a method for the simultaneous measurement of total biomass, vegetation water content, and soil moisture is developed based on ultra-wideband (UWB) nadir observation of the reflection coefficient in the frequency range from 450 MHz to 6 GHz. The proposed method is based on a simple model of plane wave reflection from a vegetation layer with flat boundaries lying on a smooth soil surface. The model does not take into account the phenomena of wave scattering on the vegetation elements and the soil surface roughness. The dielectric constant of the vegetation canopy and soil were calculated based on Ulaby and Mironov dielectric models, respectively. The proposed method was tested using data from PORTOS-93 (INRA) experiments on measuring: total biomass (up to 3.3 kg/m2), water content (43%-89%), height (up to 1m) and volumetric content (up to 0.6-0.8%) of wheat plants, moisture (from 5% to 36%), density and clay fraction content (27%) of the soil. As a result, it was shown, the coefficient of determination (R2) and root-mean-square error (RMSE) appeared to be equal to R2=0.999 and RMSE=2.2% when comparing the original and retrieved values of volumetric soil moisture. The retrieved values of total biomass (vegetation water content) with the coefficient of determination R2=0.999 (0.998) and RMSE=16g/m2 (0.7%) coincide with the original set values. Therewith, the bands from 4 GHz to 6 GHz and from 450 MHz to 1 GHz were used to retrieve the canopy biometric parameters and soil moisture, respectively.

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Держатели документа:
Laboratory of Radiophysics of the Earth Remote Sensing, Kirensky Institute of Physics Federal Research Center KSC Siberian Branch Russian Academy of Science, Krasnoyarsk, The Russian Federation

Доп.точки доступа:
Fomin, S. V.; Фомин, Сергей Викторович; Mikhaylov, M. I.; Михайлов, Михаил Иванович; Музалевский, Константин Викторович; IEEE Ural-Siberian Conference on Biomedical Engineering, Radioelectronics and Information Technology(15-17 May 2023 ; Yekaterinburg, Russia)
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9.


   
    On the use of dual-polarized multi-angular observations of P-band brightness temperature for soil moisture profile retrieval in thawed mineral soil / K. V. Muzalevskiy, J. P. Walke, F. Brakhasi [et al.] // Int. J. Remote Sens. - 2024. - Vol. 45, Is. 5. - P. 1498-1521, DOI 10.1080/01431161.2024.2313993. - Cited References: 37. - The work was supported by the State assignment of Kirensky Institute of Physics [FWES-2021-0034]; Australian Research Council funding [DP170102373 and LE150100047]. The work was carried out within the state assignment of Kirensky Institute of Physics and the Australian Research Council funding (DP170102373 and LE150100047) that was used to collect the P-band data . - ISSN 0143-1161. - ISSN 1366-5901
Кл.слова (ненормированные):
Microwave remote sensing -- radiometry -- P-band -- Burke mode -- moisture and temperature retrieval depth -- soil moisture profile
Аннотация: This article investigated the possibility of remotely sensing the soil moisture profile in thawed soil from multi-angular dual-polarized brightness temperature (TB) observations at P-band frequencies of 750 MHz and 409 MHz using a modified Burke model. Moreover, it was found that an excellent agreement (coefficient of determination R2 = 0.999 and root-mean-square error (RMSE) no more than RMSE = 0.6 K) could be achieved between the Njoku coherent brightness temperature model and the modified Burke model by introducing a reflectivity from the air-soil interface that takes into account the phases of the multiple re-reflected waves in the underlying layers. Based on the modified Burke model, the depths from which apparent moisture and temperature could be retrieved in a dielectrically-inhomogeneous, non-isothermal soil were investigated, being approximately ten times less than the depth for which apparent soil temperature could be retrieved. In general, the thickness of the emitting layer depends on the TB look angle and polarization, along with the moisture and temperature profiles of the soil. It was also shown that due to the effect of the Brewster angle, the H-polarization of TB was twice as sensitive (4 K/1%) to changes in volumetric soil moisture than V-polarization (1.9 K/1%). Based on multi-angular (10°-50°) observations of TB at H- and V-polarizations, a method of moisture profile retrieval in the top 5–15 cm soil (depending on surface moisture) was proposed using an exponential fitting function, the parameters of which are found in the course of solving the inverse problem. A decrease in the sensing frequency from 750 MHz to 409 MHz makes it possible to increase the accuracy of soil moisture profiles retrieval by a factor of two, being from RMSE = 1.6% (R2 = 0.946) to RMSE = 0.85% (R2 = 0.982) in the top 15 cm layer of soil. The conducted investigation shows the promise of using P-band observations of TB for soil moisture profile retrieval.

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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, Russia
Department of Civil Engineering, Monash University, Clayton, Australia
Yangtze Institute for Conservation and Development, Hohai University, Nanjing, China

Доп.точки доступа:
Muzalevskiy, K. V.; Музалевский, Константин Викторович; Walke, J. P.; Brakhasi, F.; Ye, N.; Wu, X.; Shen, X.
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