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Вид документа : Статья из журнала
Шифр издания :
Автор(ы) : Fomin S. V., Muzalevskiy K. V.
Заглавие : A dielectric model for frozen mineral soils at a frequency of 435 MHz
Место публикации : Remote Sens. Lett. - 2021. - Vol. 12, Is. 9. - P.944-950. - ISSN 2150704X (ISSN), DOI 10.1080/2150704X.2021.1947537
Примечания : Cited References: 16. - This work was supported by the state assignment of the Ministry of Science and Higher Education of the Russian Federation [project No. 0287-2021-0034]
Аннотация: A single frequency refractive mixing dielectric model at 435 MHz for frozen mineral soils is proposed. The model was created based on the laboratory dielectric measurements of three soil samples in the ranges of soil moisture from 0.01cm3 cm−3 to 0.42cm3 cm−3, temperature from– 30°C to– 1°C, clay content (by weight) from 9.1% to 41.3%. Coefficient of determination R2 and root mean square error (RMSE) predicted by the model and measured values for real () and imaginary () part of the complex relative permittivity (CRP) are = 0.988 (= 0.323) and = 0.987 (= 0.100). Compared to well-known spectroscopic models, this model is simpler in practical engineering use. The input parameters of the model are the volumetric soil moisture, temperature and the content of the clay fraction. The output parameters are the real and imaginary parts of the CRP. The created model may be used to develop new remote sensing retrieval algorithms of temperature, the content of unfrozen water and ice in the root zone of frozen soils for northern regions.ε 'ε ''R2ε 'RMSEε 'R2ε ''RMSEε ''
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Вид документа : Статья из журнала
Шифр издания :
Автор(ы) : Muzalevskiy K. V.
Заглавие : A new method for remote sensing of moisture profiles in the arable layer at three frequencies; experimental case study
Место публикации : Int. J. Remote Sens. - 2021. - Vol. 42, Is. 7. - P.2377-2390. - ISSN 01431161 (ISSN), DOI 10.1080/01431161.2020.1851795
Примечания : 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
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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Вид документа : Статья из журнала
Шифр издания :
Автор(ы) : Mironov V. L., Kerr Y. H., Kosolapova L. G., Savin I. V., Muzalevskiy K. V.
Заглавие : A temperature-dependent dielectric model for thawed and frozen organic soil at 1.4 GHz
Коллективы : Russian Science Foundation [14-17-00656]
Место публикации : IEEE J. Sel. Top. Appl. Earth Observ. Remote Sens.: IEEE-Institute Electrical and Electronics Engineers, 2015. - Vol. 8, Is. 9. - P.4470-4477. - ISSN 1939-1404, DOI 10.1109/JSTARS.2015.2442295. - ISSN 2151-1535
Примечания : Cited References:19. - This work was supported in part by a grant from the Russian Science Foundation under Project 14-17-00656
Предметные рубрики: moisture retrieval algorithm
active layer
validation
Ключевые слова (''Своб.индексиров.''): dielectric constant--dielectric losses--dielectric measurement--l-band--modeling--soil moisture--soil properties
Аннотация: A single-frequency dielectric model for thawed and frozen Arctic organic-rich (80%-90% organic matter) soil was developed. The model is based on soil dielectric data that were measured over the ranges of volumetric moisture from 0.007 to 0.573 cm3/cm3, dry soil density from 0.564 to 0.666 g/cm3, and temperature from 25°C to -30°C (cooling run), at the frequency of 1.4 GHz. The refractive mixing model was applied to fit the measurements of the soil's complex refractive index (CRI) as a function of soil moisture, with the values of temperature being fixed. Using the results of this fitting, the parameters of the refractive mixing model were derived as a function of temperature. These parameters involve the CRIs of soil solids as well as bound, transient, and free soil water components. The error of the dielectric model was evaluated by correlating the predicted complex relative permittivity (CRP) values of the soil samples with the measured ones. The coefficient of determination (R2) and the root-mean-square error (RMSE) were estimated to be R2 = 0.999, RMSE = 0.27 and R2 = 0.993, RMSE = 0.18 for the real and imaginary parts of the CRP, respectively. These values are in the order of the dielectric measurement error itself. The proposed dielectric model can be applied in active and passive remote-sensing techniques used in the areas with organicrich soil covers, mainly for the SMOS, SMAP, and Aquarius missions.
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Вид документа : Статья из журнала
Шифр издания :
Автор(ы) : Mironov V. L., Savin I. V.
Заглавие : A temperature-dependent multi-relaxation spectroscopic dielectric model for thawed and frozen organic soil at 0.05–15 GHz
Место публикации : Phys. Chem. Earth: PERGAMON-ELSEVIER SCIENCE LTD, 2015. - Vol. 83–84: Emerging science and applications with microwave remote sensing data. - P.57-64. - ISSN 1474-7065, DOI 10.1016/j.pce.2015.02.011
Примечания : Cited References: 14. - The study was supported by the Russian Science Foundation (project 14-17-00656).
Предметные рубрики: ARCTIC SOIL
BOREAL
Ключевые слова (''Своб.индексиров.''): organic soil--moisture--temperature--dielectric model--thawed and frozen soil--smos
Аннотация: A dielectric model for thawed and frozen Arctic organic-rich soil (50% organic matter) has been developed. The model is based on soil dielectric measurements that were collected over ranges of gravimetric moisture from 0.03 to 0.55 g/g, dry soil density from 0.72 to 0.87 g/cm3, and temperature from 25 to −30 °C (cooling run) in the frequency range of 0.05–15 GHz. The refractive mixing dielectric model was applied with the Debye multi-relaxation equations to fit the measurements of the soil’s complex dielectric constant as a function of soil moisture and wave frequency. The spectroscopic parameters of the dielectric relaxations for the bound, transient bound, and unbound soil water components were derived and were complimented by the thermodynamic parameters to obtain a complete set of parameters for the proposed temperature-dependent multi-relaxation spectroscopic dielectric model for moist soils. To calculate the complex dielectric constant of the soil, the following input variables must be assigned: (1) density of dry soil, (2) gravimetric moisture, (3) wave frequency, and (4) temperature. The error of the dielectric model was evaluated and yielded RMSEε′ values of 0.348 and 0.188 for the soil dielectric constant and the loss factor, respectively. These values are on the order of the dielectric measurement error itself. The proposed dielectric model can be applied in active and passive microwave remote sensing techniques to develop algorithms for retrieving the soil moisture and the freeze/thaw state of organic-rich topsoil in the Arctic regions.
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Вид документа : Статья из журнала
Шифр издания :
Автор(ы) : Muzalevskiy K. V., Zeyliger, Anatoly
Заглавие : Application of Sentinel-1B polarimetric observations to soil moisture retrieval using neural networks: Case study for bare Siberian chernozem soil
Коллективы : 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]
Место публикации : Remote Sens. - 2021. - Vol. 13, Is. 17. - Ст.3480. - ISSN 2072-4292(eISSN), DOI 10.3390/rs13173480
Примечания : 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)
Предметные рубрики: SURFACE
MODEL
PARAMETERS
ROUGHNESS
INVERSION
DUBOIS
IEM
OH
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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Вид документа : Статья из журнала
Шифр издания :
Автор(ы) : Ружичка, Зденек, Музалевский, Константин Викторович
Заглавие : Bеб-гис сайт для мониторинга влажности и температуры арктических почв используя данные космического аппарата SMOS
Коллективы : "Региональные проблемы дистанционного зондирования Земли", международная конференция (2014 ; сент. ; 23-26; Красноярск)
Место публикации : Регион. пробл. дистанц. зондиров. Земли: матер. международной науч. конф./ науч. ред. Е. А. Ваганов. - Красноярск: СФУ, 2014. - С. 237-290. - ISSN 978-5-7638-3109-2
Примечания : Работа вполнена в рамках проекта Президиума РАН «Разработка научных основ космического мониторинга влажности и температуры в деятельном слое почвенного покрова арктической тундры
Аннотация: В данной статье описываются результаты, полученные в ходе выполнения проекта по созданию Веб-ГИС сайта, который позволяет осуществлять быстрый просмотр, обработку, временной и пространственный мониторинг данных о температуре и влажности почвы, полученные на основе измерений комическим аппаратом SMOS продукт Level-1. В настоящее время функциональность сайта ограничена и в дальнейшем будет расширяться. В данной статье описаны возможности веб-сайта и его архитектура на данный момент.
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Вид документа : Статья из сборника (однотомник)
Шифр издания :
Автор(ы) : Bobrov P. P., Mironov V. L., Yashchenko A. S., Kosolapova L. G.
Заглавие : Comparison of Two Retrieval Soil Moisture Algorithms on SMOS Data
Коллективы : IEEE International Geoscience and Remote Sensing Symposium (2012 ; July ; 22-27; Munich, Germany)
Место публикации : IEEE International Geoscience and Remote Sensing Symposium (IGRASS): Proceedings. - Munich, 2012. - С. 1131-1134. - ISBN 978-1-4673-1159-5, DOI 10.1109/IGARSS.2012.6351349
Аннотация: We made the conclusion about the main deficiencies of the SMOS data Level 1c and Level 2 for the south part of Western Siberia. This was done for the period from 12.07.10 to 10.11.11 by studying SMOS data, periodic ground base measurements of the brightness temperature at 1.4 GHz and ground base measurements of moisture. We developed a simple algorithm for remote retrieval of soil moisture using data of brightness temperature given at SMOS Level 1c, compared the data of soil moisture, given at SMOS Level 2 with data calculated by our algorithm and in situ measurements of moisture.
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Вид документа : Статья из сборника (однотомник)
Шифр издания :
Автор(ы) : Ruzicka Z., Muzalevskiy K. V.
Заглавие : Database Approach To Develop And Validate the Soil Moisture and Temperature Retrieval Algorithm Using SMOS Radiometric Data
Место публикации : International Siberian Conference on Control and Communications (SIBCON) (MAY 21-23, 2015, Omsk, RUSSIA): IEEE, 2015. - ISBN 978-1-4799-7103-9
Примечания : Cited References:0
Ключевые слова (''Своб.индексиров.''): database management system--smos--arctic tundra--soil temperature--soil--moisture
Аннотация: This paper describes the information system, which has been developed for the storing and automated processing of the Soil Moisture and Ocean Salinity (SMOS) Level 1C radiometric and Level 2 soil moisture data over space and time. The information system contains the database for storing the data and the interface for automated processing. That interface has been developed to provide access to these specific data from the database within the Matlab numerical computing environment used for the realization of algorithms and methods. The developed information system helps to speed up the processing of SMOS data in regional scale over a long period of time, and has successfully been used for the validation of soil temperature and moisture retrieval algorithms over the North Slope of Alaska and Yamal peninsula.
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Вид документа : Статья из сборника (однотомник)
Шифр издания :
Автор(ы) : Ruzicka Z., Muzalevskiy K. V.
Заглавие : Database approach to develop and validate the Soil Moisture and temperature retrieval algorithm using SMOS radiometric data
Коллективы : International Siberian Conference on Control and Communications
Место публикации : Int. Sib. Conf. on Control and Communicat. (SIBCON 2015): Proceedings: IEEE-Institute Electrical and Electronics Engineers, 2015. - ISBN 9781479971022 (ISBN), DOI 10.1109/SIBCON.2015.7146965
Ключевые слова (''Своб.индексиров.''): arctic tundra--database management system--smos--soil moisture--soil temperature--algorithms--data handling--database systems--information systems--management information systems--matlab--moisture--numerical methods--radiometry--soil moisture--soil surveys--soils--temperature--arctic tundra--automated processing--north slope of alaska--retrieval algorithms--smos--soil moisture and ocean salinity (smos)--soil temperature--temperature retrieval--search engines
Аннотация: This paper describes the information system, which has been developed for the storing and automated processing of the Soil Moisture and Ocean Salinity (SMOS) Level 1C radiometric and Level 2 soil moisture data over space and time. The information system contains the database for storing the data and the interface for automated processing. That interface has been developed to provide access to these specific data from the database within the Matlab numerical computing environment used for the realization of algorithms and methods. The developed information system helps to speed up the processing of SMOS data in regional scale over a long period of time, and has successfully been used for the validation of soil temperature and moisture retrieval algorithms over the North Slope of Alaska and Yamal peninsula. © 2015 IEEE.
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10.

Вид документа : Статья из сборника (выпуск продолж. издания)
Шифр издания :
Автор(ы) : Mironov V. L., Kosolapova L. G., Fomin S. V., Savin I. V., Muzalevskiy K. V.
Заглавие : Dielectric model for thawed and frozen organic soils at 1.4 GHz
Коллективы : IEEE International Geoscience and Remote Sensing Symposium
Место публикации : International Geoscience and Remote Sensing Symposium (IGARSS): IEEE, 2018. - Vol. 2018-July: 38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 (22 July 2018 through 27 July 2018, ) Conference code: 141934. - Ст.8518443. - P.7180-7183. - , DOI 10.1109/IGARSS.2018.8518443
Примечания : Cited References: 6. - The study was supported by a grant from the Russian Foundation for Basic Research (project № 16-05-00572), and project №0356-2018-0060.
Ключевые слова (''Своб.индексиров.''): 1.4 ghz--dielectric model--moisture--organic soils--remote sensing--temperature--thawed and frozen soils
Аннотация: Dielectric measurements of organic soils for five samples with different contents of organic matter are carried out in the temperature range from -30 °C to 25 °C in a wide frequency range from 0.45 to 16 GHz. On their basis, a simple single-frequency dielectric model of thawed and frozen organic soils has been created to calculate the complex relative permittivity of thawed and frozen organic soils, depending on the moisture, temperature and organic matter content at 1.4 GHz.
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