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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.
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Вид документа : Статья из журнала
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Автор(ы) : Wigneron J. P., Chanzy A., Kerr Y. H., Lawrence H., Shi J. C., Escorihuela M. J., Mironov V. L., Mialon A., Demontoux F., de Rosnay P., Saleh-Contell K.
Заглавие : Evaluating an improved parameterization of the soil emission in L-MEB
Коллективы : Workshop on Remote Sensing and Modeling of Surface Properties (2nd; Jun 09-11, 2009; Toulouse, France)
Место публикации : IEEE Trans. Geosci. Remote Sensing: IEEE-Institute Electrical and Electronics Engineers, 2011. - Vol. 49, Is. 4. - P.1177-1189. - ISSN 0196-2892, DOI 10.1109/TGRS.2010.2075935
Примечания : Cited References: 26
Предметные рубрики: BAND MICROWAVE EMISSION
SURFACE-ROUGHNESS
1.4 GHZ
MODEL
MOISTURE
LAND
RADIOMETER
FREQUENCY
FIELDS
SPACE
Ключевые слова (''Своб.индексиров.''): 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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