Библиотека института физики им. Л.В. Киренского СО РАН

Главная

Базы данных

Труды сотрудников ИФ СО РАН - результаты поиска

Вид поиска

Каталог книг и брошюр библиотеки ИФ СО РАН

Каталог журналов библиотеки ИФ СО РАН

Труды сотрудников ИФ СО РАН

Область поиска

в найденном

Найдено в других БД:

Каталог книг и брошюр библиотеки ИФ СО РАН (4)

Формат представления найденных документов:
полный	информационный	краткий

Отсортировать найденные документы по:
автору	заглавию	году издания	типу документа

Поисковый запрос: (<.>K=почвы<.>)

Общее количество найденных документов : 73
Показаны документы с 1 по 20

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.
Смотреть статью,
Scopus,
WOS,
Читать в сети ИФ
Найти похожие

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.
Смотреть статью,
Scopus,
WOS,
Смотреть статью,
Читать в сети ИФ
Найти похожие

Вид документа : Статья из сборника (однотомник)
Шифр издания :
Автор(ы) : Mironov V. L., Savin I. V., Muzalevskiy K. V.
Заглавие : A temperature-dependent multi-relaxation spectroscopic dielectric model for thawed and frozen organic soil at 0.05-15 Ghz
Коллективы : Geoscience and Remote Sensing Symposium
Место публикации : Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International. - 2015. - P.2031-2034. - DOI 10.1109/IGARSS.2015.7326198
Аннотация: The dielectric model for an arctic organic-rich soil collected on the Yamal peninsula (50% of organic matter) both thawed and frozen has been developed. The model is based on the soil dielectric measurements carried out in the ranges of gravimetric moisture 0.03 to 0.55 g/g, dry soil density 0.72 to 0.87 g/cm3, and temperature 25 to −30°C (cooling run), in the frequency range 0.05–15 GHz. To fit the results of measurements of the soil complex dielectric constant as a function of soil moisture and wave frequency, the refractive mixing dielectric model in conjunction with the Debye multi-relaxation equations were applied. As a result, the spectroscopic parameters of dielectric relaxations and electrical specific conductivities for the bound, transient bound, and unbound soil water components were derived, being further complimented with the thermodynamics parameters. Having these parameters, the complex dielectric constant of soil can be predicted as a function of 1) density of dry soil, 2) gravimetric moisture, 3) wave frequency, and 4) temperature1.
Материалы конференции,
Материалы конференции,
Читать в сети ИФ
Найти похожие

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.
Смотреть статью,
Scopus,
WOS,
Читать в сети ИФ
Найти похожие

Вид документа : Статья из журнала (Препринт)
Шифр издания :
Автор(ы) : Muzalevskiy K. V., Ruzicka Z., Roy, Alexandre, Loranty, Michael, Vasiliev, Alexander
Заглавие : Brief communication: Classification of thawed/frozen topsoil state by spectral gradient methods based on SMAP and GCOM-W1 radiometric data
Место публикации : EGUsphere. - 2022. - preprint. - DOI 10.5194/egusphere-2022-224
Примечания : Cited References: 19
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.
Смотреть статью
Найти похожие

Вид документа : Статья из журнала
Шифр издания :
Автор(ы) : Muzalevskiy K. V., Ruzicka Z.
Заглавие : Detection of soil freeze/thaw states in the Arctic region based on combined SMAP and AMSR-2 radio brightness observations
Коллективы : SB RAS Program [0356-2019-0004]
Место публикации : Int. J. Remote Sens. - 2020. - Vol. 41, Is. 14. - P.5046-5061. - ISSN 0143-1161, DOI 10.1080/01431161.2020.1724348. - ISSN 1366-5901(eISSN)
Примечания : Cited References: 36. - This study was funded by the SB RAS Program (project No. 0356-2019-0004).
Предметные 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.
Смотреть статью,
Scopus,
WOS,
Читать в сети ИФ
Найти похожие

Вид документа : Статья из сборника (однотомник)
Шифр издания :
Автор(ы) : Muzalevskiy K. V., Lukin Y. I.
Заглавие : Effects of organo-mineral structure of arctic topsoil on the own thermal radiation in the L-band
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.2015.7147152
Ключевые слова (''Своб.индексиров.''): artic tundra--mineral soil--organic soil--permafrost--smos--soil temperature--atmospheric humidity--balloons--heat radiation--landforms--luminance--minerals--permafrost--permittivity--radiation effects--soils--temperature--artic tundra--mineral soils--organic soil--smos--soil temperature--soil surveys
Аннотация: In this paper, the influence of organic-mineral Arctic tundra soils on own thermal radiation in the L-band was theoretically investigated. For modeling of brightness temperature there were used semi-empirical L-band Microwave Emission of the Biosphere (L-MEB) model. An integral part of this model is permittivity models of tundra organic and mineral soils, which links the brightness temperature with moisture, temperature and density of soil. The permittivity models were developed based on the measurements of the organic rich and mineral soil samples collected at the Vaskiny Dachi weather station test-site in Yamal peninsular. As a result, the potential error of soil temperature retrieval in case of layered and homogeneous organic-mineral soil are shown based on simulated brightness temperature at 1.4 GHz. © 2015 IEEE.
Scopus,
Материалы конференции
Найти похожие

Вид документа : Статья из журнала
Шифр издания :
Автор(ы) : Mironov V. L., Muzalevskiy K. V.
Заглавие : Impact of a freezing topsoil on determining the Arctic tundra surface deformation using InSAR
Коллективы : International Siberian Conference on Control and Communications
Место публикации : Int. Sib. Conf. on Control and Communicat.: Proc.: IEEE, 2013. - Ст.6693624. - ISSN 978-1-4799-1062-5, DOI 10.1109/SIBCON.2013.6693624. - ISSN 978-147991060-1
Примечания : Cited References: 8
Ключевые слова (''Своб.индексиров.''): sar interferometry (insar)--smap--alos--permafrost--arctic tundra soil--active layer--freezing--thawing--soil temperature
Аннотация: In this paper, we study the effect of the layered structure of the active topsoil of the Arctic tundra during freezing on the error of determining surface deformation. A simple Bragg scattering model was used for surface scattering modeling. The simulation was performed in the L-band for future radar missions SMAP and ALOS-2. The soil permittivity is calculated using the temperature-dependent generalized refractive mixing dielectric model for the organic rich soil sample collected in North Slope, Alaska (68 degrees 38'N, 149 degrees 35'W). This model predicts the complex dielectric constant of moist soil both thawed and frozen at temperatures from -30 degrees C to +25 degrees C and moistures from 0 to 0.94 g/g. It is shown that the error of determining soil surface deformation, induced by processes of freezing of the permafrost active layer, does not exceed 1.5 cm.
WOS,
Смотреть статью,
Материалы конференции,
Читать в сети ИФ
Найти похожие

Вид документа : Статья из журнала
Шифр издания :
Автор(ы) : Wigneron J. -P., Jackson T. J., O'Neill P., De Lannoy G., de Rosnay P., Walker J. P., Ferrazzoli P., Mironov V. L., Bircher S., Grant J. P., Kurum M., Schwank M., Munoz-Sabater J., Das N., Royer A., Al-Yaari A., Al Bitar A., Fernandez-Moran R., Lawrence H., Mialon A., Parrens M., Richaume P., Delwart S., Kerr Y.
Заглавие : Modelling the passive microwave signature from land surfaces: A review of recent results and application to the L-band SMOS & SMAP soil moisture retrieval algorithms
Место публикации : Remote Sens. Environ.: Elsevier, 2017. - Vol. 192. - P.238-262. - ISSN 00344257 (ISSN), DOI 10.1016/j.rse.2017.01.024
Примечания : Cited References: 187. - This research work was funded by CNES (Centre National d'Etudes Spatiales) through the Science TOSCA (Terre Océan Surfaces Continentales et Atmosphère) program. The authors wish to thank the three anonymous reviewers for their helpful comments and Sylvie Renaud (IMS) for fruitful discusions.
Ключевые слова (''Своб.индексиров.''): atmospheric temperature--climate models--moisture--moisture control--scanning antennas--soils--vegetation--experimental campaign--microwave brightness temperature--passive microwave signatures--semiempirical models--soil moisture retrievals--surface soil moisture--surface temperatures--system configurations--soil moisture
Аннотация: Two passive microwave missions are currently operating at L-band to monitor surface soil moisture (SM) over continental surfaces. The SMOS sensor, based on an innovative interferometric technology enabling multi-angular signatures of surfaces to be measured, was launched in November 2009. The SMAP sensor, based on a large mesh reflector 6 m in diameter providing a conically scanning antenna beam with a surface incidence angle of 40°, was launched in January of 2015. Over the last decade, an intense scientific activity has focused on the development of the SM retrieval algorithms for the two missions. This activity has relied on many field (mainly tower-based) and airborne experimental campaigns, and since 2010–2011, on the SMOS and Aquarius space-borne L-band observations. It has relied too on the use of numerical, physical and semi-empirical models to simulate the microwave brightness temperature of natural scenes for a variety of scenarios in terms of system configurations (polarization, incidence angle) and soil, vegetation and climate conditions. Key components of the inversion models have been evaluated and new parameterizations of the effects of the surface temperature, soil roughness, soil permittivity, and vegetation extinction and scattering have been developed. Among others, global maps of select radiative transfer parameters have been estimated very recently. Based on this intense activity, improvements of the SMOS and SMAP SM inversion algorithms have been proposed. Some of them have already been implemented, whereas others are currently being investigated. In this paper, we present a review of the significant progress which has been made over the last decade in this field of research with a focus on L-band, and a discussion on possible applications to the SMOS and SMAP soil moisture retrieval approaches. © 2017 Elsevier Inc.
Смотреть статью,
Scopus,
WOS,
Читать в сети ИФ
Найти похожие

10.

Вид документа : Статья из журнала
Шифр издания :
Автор(ы) : Muzalevskiy K. V., Mikhaylov M. I., Mironov V. L., Ruzicka Z.
Заглавие : Retrieving Soil Moisture and temperature using SMOS observations at a test site in the Yamal Peninsular
Коллективы : IEEE International Geoscience and Remote Sensing Symposium
Место публикации : IEEE J. Sel. Top. Appl. Earth Observ. Remote Sens.: Proc.: IEEE-Institute Electrical and Electronics Engineers, 2016. - P.4932 - 4935. - ISSN 978-1-5090-3332-4, DOI 10.1109/IGARSS.2016.7730287. - ISSN 2153-7003 (eISSN)
Примечания : The study was performed thanks to a grant from the Russian Science Foundation (project No 14-17-00656).
Ключевые слова (''Своб.индексиров.''): permittivity model--smos--microwave radiometry--arctic tundra--soil moisture--soil temperature
Аннотация: In this paper, the results of radiothermal remote sensing of soil moisture and temperature is presented for a test site located in Arctic tundra on the Yamal Peninsula, the Russia Federation using full-polarimetry multi-angular brightness temperature (BT) observations at the frequency of 1.4 GHz. The BT data were obtained from the Soil Moisture and Ocean Salinity (SMOS) satellite with the SMOS footprint near the polar weather station Marresale, Yamal Peninsular, the Russia Federation. The SMOS data covered the period of on the ground observations conducted in August, 2015. The method to retrieve soil moisture and temperature is based on solving an inverse problem by minimizing the norm of the residuals between the observed and predicted values of BTs. The calculation of BT was performed using semi-empirical model of radiothermal emission and temperature-dependent dielectric model for an organic-rich tundra soil. The obtained results revealed the applicability of the SMOS data for simultaneous retrieving the soil moisture and temperature for the Arctic tundra environment.
Смотреть статью,
Scopus,
WOS,
Ссылка,
Читать в сети ИФ
Найти похожие

11.

Вид документа : Статья из журнала
Шифр издания :
Автор(ы) : Muzalevskiy K. V.
Заглавие : Retrieving soil moisture profiles based on multifrequency polarimetric radar backscattering observations. Theoretical case study
Место публикации : Int. J. Remote Sens. - 2021. - Vol. 42, Is. 2. - P.506-519. - ISSN 01431161 (ISSN), DOI 10.1080/01431161.2020.1809743
Примечания : Cited References: 46. - 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 in the L-band, a technique for measuring moisture profiles at two frequencies of 435 MHz and 5.4 GHz was created in part of SB RAS project No. 0356-2019-0004
Аннотация: In this theoretical work, a dual-frequency polarimetric method is proposed for measuring moisture profiles in the topsoil up to 0.30 m thick. A case of measuring soil moisture profiles, which monotonically changes with depth, during 37 days after irrigation is considered. Original values of backscattering coefficients are calculated by the Oh model and by the small perturbation method at frequencies of 5.4 GHz and 435 MHz, respectively. In these calculations, we used measured moisture profiles and spectroscopic refractive mixing dielectric model of non-saline mineral soil with a clay fraction of 9.1%. Soil moisture profiles are retrieved by solving the inverse problem, the cost function of which is constructed based on the co- and cross-polarized ratios, calculated at two frequencies for the measured and modelled soil moisture profiles. An exponential function is used as a modelled soil moisture profile. It is shown that the standard deviation between the retrieved and measured soil moisture values in the surface layer 0.30 m thick appears to be ≤0.02 m3 m−3 (theoretical limit), and the determination coefficient is 0.881. The study shows a promising path towards developing multi-frequency radar systems for remote sensing of soil moisture profiles using satellites-based and unmanned aerial vehicles air-based platforms.
Смотреть статью,
Scopus,
WOS,
Читать в сети ИФ
Найти похожие

12.

Вид документа : Статья из журнала
Шифр издания :
Автор(ы) : Mironov V. L., Muzalevskiy K. V., Savin I. V.
Заглавие : Retrieving temperature gradient in frozen active layer of arctic tundra soils from radiothermal observations in L-Band-Theoretical modeling
Коллективы : Siberian Branch of the Russian Academy of Sciences (SB RAS)
Место публикации : IEEE J. Sel. Top. Appl. Earth Observ. Remote Sens.: IEEE-Institute Electrical and Electronics Engineers, 2013. - Vol. 6, Is. 3. - Ст.6520003. - P.1781-1785. - ISSN 1939-1404, DOI 10.1109/JSTARS.2013.2262108
Примечания : Cited References: 20
Предметные рубрики: WATER
RADIOMETER
BOREAL
Ключевые слова (''Своб.индексиров.''): 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.
Scopus,
WoS,
Смотреть статью,
WOS,
Читать в сети ИФ
Найти похожие

13.

Вид документа : Статья из журнала
Шифр издания :
Автор(ы) : Muzalevskiy K. V., Ruzicka Z.
Заглавие : 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
Коллективы : IEEE International Geoscience and Remote Sensing Symposium, Международный симпозиум по наукам о Земле и дистанционному зондированию
Место публикации : IEEE International Geoscience and Remote Sensing Symposium (IGRASS): Proceedings. - 2018. - P.7176-7179. - ISSN 978-1-5386-7150-4, DOI 10.1109/IGARSS.2018.8517538
Примечания : 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
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.
Смотреть статью,
Scopus,
WOS,
Материалы конференции,
Читать в сети ИФ,
Читать в сети ИФ
Найти похожие

14.

Вид документа : Статья из сборника (однотомник)
Шифр издания :
Автор(ы) : Muzalevskiy K. V., Ruzicka Z., Zahvatov M. G., Muskett R. R., Fomin S. V.
Заглавие : Soil moisture retrieval in the North Slope of Alaska from GCOM-W1/AMSR2 and Meteor-M No. 2/MTVZA-GYa radiometers data
Коллективы : Progress in Electromagnetics Research Symposium
Место публикации : Progr. Electromag. Res. Symp. (PIERS): Proceedings. - 2017. - P.1442-1448. - DOI 10.1109/PIERS.2017.8261974
Примечания : 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.
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.
Материалы конференции,
Смотреть статью,
Scopus,
WoS,
Читать в сети ИФ
Найти похожие

15.

Вид документа : Статья из журнала
Шифр издания :
Автор(ы) : Mironov V. L., Muzalevskiy K. V.
Заглавие : Spaceborne radar monitoring of soil freezing/thawing processes in the Arctic tundra
Место публикации : Russ. Phys. J.: SPRINGER, 2013. - Vol. 55, Is.8. - P.899-902. - ISSN 1064-8887, DOI 10.1007/s11182-013-9898-6
Примечания : Cited References: 12
Ключевые слова (''Своб.индексиров.''): active topsoil--complex dielectric constant, arctic tundra--freezing/thawing soil--radar backscattering coefficient--soil temperature
Аннотация: In this article, the possibility of measuring the average temperature in the active topsoil of the Arctic tundra from the temperature dependence of the radar backscattering coefficient is theoretically studied. The radar backscattering coefficient is simulated by the small perturbation method at a frequency of 1.26 GHz of radars placed onboard ALOS-2 and SMAP satellites. In simulation, the soil density, surface roughness, and temperature and moisture profiles measured in situ at the biosphere station Franklin Bluffs, Alaska (69В°39? N, 148В°43? W), from August 1, 2000 to July 1, 2001 were used. The soil permittivity was calculated for the generalized temperature-dependent refractive mixing dielectric model for organic rich soil whose sample was taken on the Alaska North Slope (68В°38?N, 149В°35?W). This model allows the complex dielectric constant of moist thawed and frozen soil to be calculated at temperatures in the range from -30В°S{cyrillic} to +25В°S{cyrillic}. It is demonstrated that the radar backscattering coefficient is correlated with the topsoil temperature with the error less than 5.7В°S{cyrillic} during the entire period of freezing and thawing. В© 2013 Springer Science+Business Media New York.
Scopus,
Смотреть статью,
WOS,
Читать в сети ИФ
Найти похожие

16.

Вид документа : Статья из журнала
Шифр издания :
Автор(ы) : Muzalevskiy K. V.
Заглавие : Temperature dependence of the backscattering coefficient measured by ALOS PALSAR during cooling and heating of tundra topsoil
Место публикации : Журн. радиоэлектрон. - 2019. - № 11. - ISSN 1684-1719 (eISSN), DOI 10.30898/1684-1719.2019.11.19; J. Radio Electron.
Примечания : Cited References: 11. - The study was performed thanks to the Program of SB RAS (project No.0356-2019-0004), JAXA project No.PI 1422002.
Аннотация: In this paper, dependences of backscattering coefficient on Arctic tundra soil temperature were investigated. The backscattering coefficient was measured by ALOS PALSAR (1.3GHz) over areas near to Imnaviat weather station in the North Slope of Alaska in the period from January 12, 2009 to April 20, 2011. It has been experimentally and theoretically shown that there is a strong correlation relationship no worse than 0.76 between the surface soil temperature measured by weather stations and backscattering coefficient. The variations of the backscattering coefficient was found to be about 5-6 dB over the test site when soil surface temperature changes from -10°С to 10°С. This study contributes to further understanding the processes of scattering of frozen Arctic soils that is pertinent to developing new remote sensing algorithms for the permafrost region.В данной работе представлены результаты исследования температурной зависимости коэффициента обратного радарного рассеяния, измеренного ALOS (PALSAR) на частоте 1,26ГГц, для тундрового тестового участка, расположенного на Северном склоне Аляски вблизи метеорологической станции Имнавиат. Экспериментально и теоретически показано, что температура поверхности почвы, измеренная метеостанцией в период с 12 января 2009 года по 20 апреля 2011 года, и коэффициент обратного рассеяния нелинейно зависят друг от друга с квадратом коэффициента корреляции 0,76. Данная зависимость удовлетворительно может быть описана моделью рассеяния Оха и температурно-зависимой диэлектрической моделью талых и мёрзлых тундровых почв с высоким содержанием органического вещества. Показано, что в диапазоне изменений температуры поверхности почвы от -10°С до 10°С вариации коэффициента обратного рассеяния на испытательном участке не превышают 5-6 дБ. Данное исследование способствует дальнейшему пониманию процессов рассеяния микроволн мерзлыми арктическими почвами, с целью разработки новых алгоритмов дистанционного зондирования Арктических регионов.
Смотреть статью,
РИНЦ,
Читать в сети ИФ
Найти похожие

17.

Вид документа : Статья из сборника (выпуск продолж. издания)
Шифр издания :
Автор(ы) : Mironov V. L., Kosolapova L. G., Savin I. V., Muzalevskiy K. V.
Заглавие : Temperature dependent dielectric model at 1.4 GHz for a tundra organic-rich soil thawed and frozen
Коллективы : Geoscience and Remote Sensing Symposium
Место публикации : Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International. - 2015. - P.2016-2019. - DOI 10.1109/IGARSS.2015.7326194
Аннотация: A mono-frequency dielectric model for a tundra organic-rich soil both thawed and frozen has been developed. The model is based on the soil dielectric measurements carried out in 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 to −30 °C (cooling run), at the frequency of 1.4 GHz used by the SMOS instrument. To fit the results of measurements of the soil complex refractive index (CRI) as a function of soil moisture, the refractive mixing model was applied. As a result, the parameters of the refractive mixing model linked to soil solids, as well as the bound, transient, and free soil water components were derived as a function of temperature. The error of the proposed dielectric model was shown to be in the order of the dielectric measurement error itself1.
Материалы конференции,
Смотреть статью,
Смотреть статью,
Читать в сети ИФ
Найти похожие

18.

Вид документа : Статья из сборника (выпуск продолж. издания)
Шифр издания :
Автор(ы) : Mironov V. L., Karavaisky A. Yu.
Заглавие : Temperature dependent dielectric model at 1.4 GHz for an agricultural soil thawed and frozen
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. - P.1-4. - , DOI 10.1109/SIBCON.2015.7147092
Примечания : Cited References:9
Ключевые слова (''Своб.индексиров.''): agricultural soil--dielectric model--moisture--remote sensing--temperature--thawed and frozen soil--agriculture--frozen soils--mixing--moisture--refractive index--remote sensing--soil moisture--soils--temperature--thawing--agricultural soils--complex refractive index--dielectric measurements--dielectric modeling--measurements of--mixing models--soil solids--temperature dependent--soil surveys
Аннотация: A mono-frequency dielectric model for the agricultural soil both thawed and frozen has been developed. The model is based on the soil dielectric measurements carried out in the ranges of volumetric moisture from 0,03 to 0,51 cm3/ cm3, dry soil density from 1.12 to 1.64 g/cm3, and temperature from -30 to 25°C (heating run), at the frequency of 1.4 GHz used in the SMOS mission. To fit the results of measurements of the soil complex refractive index (CRI) as a function of soil moisture, the refractive mixing model was applied. As a result, the parameters of the refractive mixing model linked to soil solids, as well as the bound, transient, and free soil water components were derived as a function of temperature. The error of the proposed dielectric model was shown to be in the order of the dielectric measurement error itself. © 2015 IEEE.
Scopus,
Материалы конференции,
Смотреть статью
Найти похожие

19.

Вид документа : Статья из журнала
Шифр издания :
Автор(ы) : Mironov V. L., Molostov I. P., Karavaysky A. Yu.
Заглавие : Temperature dependent multi-relaxation spectroscopic dielectric model for an arctic silt clay loam soil thawed and frozen at 0.1-15 GHZ
Коллективы : IEEE International Geoscience and Remote Sensing Symposium
Место публикации : IEEE Int.Geoscience and Remote Sensing Symp. (IGARSS): proceedings. - 2016. - P.3122-3125. - DOI 10.1109/IGARSS.2016.7729807
Примечания : Cited References: 5
Аннотация: The dielectric model for an arctic silt clay loam soil collected on the Yamal peninsula both thawed and frozen has been developed. The model is based on the soil dielectric measurements carried out in the ranges of gravimetric moisture 0.01 to 0.33 g/g, dry soil density 1.28 to 1.65 g/cm3, and temperature 25 to -30°C (cooling run), in the frequency range 0.1-15 GHz. To fit the results of measurements of the soil complex dielectric constant as a function of soil moisture and wave frequency, the refractive mixing dielectric model in conjunction with the Debye multi-relaxation equations were applied. As a result, the spectroscopic parameters of dielectric relaxations and electrical specific conductivities for the bound, transient bound, and unbound soil water components were derived, being further complimented with the thermodynamics parameters. Having these parameters, the complex relative permittivity of soil can be predicted as a function of 1) density of dry soil, 2) gravimetric moisture, 3) wave frequency, and 4) temperature.
Смотреть статью,
Scopus,
WOS,
Смотреть статью,
Читать в сети ИФ
Найти похожие

20.

Вид документа : Однотомное издание
Шифр издания :
Автор(ы) : Mironov V. L., Savin I. V.
Заглавие : Temperature-dependent spectroscopic dielectric model at 0.05–16 GHz for a thawed and frozen Alaskan organic soil
Место публикации : Satellite Soil Moisture Retrieval: Techniques and Applications: Elsevier, 2016. - Siction III: Microwave Soil Moisture Retrieval Techniques, Chapter 9. - P.169-186. - , DOI 10.1016/B978-0-12-803388-3.00009-7
Примечания : Cited References: P. 185-186
Аннотация: This book (пер. загл.: Спутниковое восстановление влажности почв. Техника и применение) provides a detailed reference that offers essential information on monitoring and understanding soil moisture retrieval techniques and their applications, and includes thought-provoking sections on techniques from microwave, optical and infrared satellite datasets, such as the universal triangle method, vegetation and indices based approaches.
Смотреть книгу,
Смотреть главу,
Scopus,
WOS
Найти похожие