Regional features of microwave radiation and snow cover interaction on the example of the North of the European part of Russia

Tikhonov, V. I.; Bojarskiy, D.A.; Китаев, Л.М.; Raev, M. D.; Черенкова, Е. А.

doi:10.1109/micrad.2008.4579512

Cited by 3 publications

(5 citation statements)

References 6 publications

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“…This method was tested on the data on snow cover in the European part of the northern Russia and proved to provide successful results of SSM/I output interpretation [15]. According to this method, brightness temperature of the layered medium T lm is determined from the following expressions:…”

Section: Electrodynamical Modelmentioning

confidence: 99%

“…The model of multiphase disperse medium was used for determination of dielectric characteristics of ice and snow layers. This model was successfully tested by authors for various types of snow cover, soil and ground [15][16][17][18][19][20][21][22]. According to this model, sea ice is simulated by a continuous icy medium containing spherical inclusions filled with air and brine (Figure 2(a)).…”

Section: Electrodynamical Modelmentioning

confidence: 99%

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Microwave Model of Radiation From the Multilayer ``Ocean-Atmosphere'' System for Remote Sensing Studies of the Polar Regions

Tikhonov

Boyarskii²,

Шарков³

et al. 2014

PIER B

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Abstract-Microwave model for simulation of radiation from the multilayer system "sea surface-sea icesnow cover-atmosphere" is introduced. In the general case, ice and snow cover is modelled by multilayer medium, where every layer is characterized by its specific physical parameters. Electrodynamical properties of each layer are determined from the original authors' model of the effective permittivity of heterogeneous medium. This model takes into account effects of radiation scattering on irregularities of environment. Measurable physical characteristics of sea ice and snow are used as the model input data. This advantage allows using this model for interpretation of remote sensing images of the ice cover in the Polar Regions. Major attention is drawn to comparison of model calculations with satellite data and visual observations from ships. The collection of SSM/I and SSMIS images from GLOBAL-RT data base, and processed visual observations from ships in Arctic cruises were used. Observations data served as the input parameters for electrodynamical model. Comparison of model results with SSM/I images demonstrated good coincidence at various frequencies.

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Section: Electrodynamical Modelmentioning

confidence: 99%

Section: Electrodynamical Modelmentioning

confidence: 99%

Microwave Model of Radiation From the Multilayer ``Ocean-Atmosphere'' System for Remote Sensing Studies of the Polar Regions

Tikhonov

Boyarskii²,

Шарков³

et al. 2014

PIER B

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“…Their lowest frequency channel is 6.9 GHz H-and V-pol (Tikhonov et al, 2016). Even at this frequency, the penetration depth in wet snow and ice is only a few centimeters or less (Tikhonov et al, 2013(Tikhonov et al, , 2014. So, during the melt period, AMSR receives radiation formed only by the thin upper layer of the medium (snow or ice) and no signal from deeper layers (ice cover).…”

Section: Introductionmentioning

confidence: 99%

“…The MIRAS instrument on board the SMOS satellite operates at 1.4 GHz (Kerr et al, 2010). At this frequency, the electromagnetic penetration depth is considerably greater (Tikhonov et al, 2013(Tikhonov et al, , 2014 and, in contrast to AMSR, the radiation emitted from deeper layers of snow and ice cover can be received. In recent years, a considerable number of publications have appeared regarding studies of various Earth covers in L-band.…”

Section: Introductionmentioning

confidence: 99%

“…The dielectric properties of each layer are calculated by a quasiwave model of effective dielectric constant of a multi-phase dispersed medium (Boyarskii et al, 1994(Boyarskii et al, , 2002. Both models were found effective for the retrieval of brightness temperature of sea ice (Tikhonov et al, 2013(Tikhonov et al, , 2014, snow-firn layers of Antarctica (Tikhonov et al, 2017), and snow cover (Tikhonov et al, 2008). Here, the former model is modified for freshwater lakes.…”

Section: Introductionmentioning

confidence: 99%

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Theoretical study of ice cover phenology at large freshwater lakes based on SMOS MIRAS data

et al. 2018

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Abstract. The paper presents a theoretical analysis of seasonal brightness temperature variations at a number of large freshwater lakes: Baikal, Ladoga, Great Bear Lake (GBL), Great Slave Lake (GSL), and Huron, retrieved from Microwave Imaging Radiometer with Aperture Synthesis (MIRAS) data (1.4 GHz) of the Soil Moisture and Ocean Salinity (SMOS) satellite. The analysis was performed using the model of microwave radiation of plane layered heterogeneous nonisothermal medium. The input parameters for the model were real regional climatological characteristics and glaciological parameters of ice cover of the study lakes. Three distinct seasonal brightness temperature time regions corresponding to different phenological phases of the lake surfaces: complete ice cover, ice melt and deterioration, and open water were revealed. The paper demonstrates the possibility to determine the beginning of ice cover deterioration from satellite microwave radiometry data. The obtained results can be useful for setting the operating terms of winter crossings and roads on ice, as with the beginning of ice deterioration, these transportation routes across water bodies (rivers, lakes, water reservoirs) become insecure and cannot be used any more.

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Monitoring Snow Characteristics With Ground-Based Multifrequency Microwave Radiometry

Brogioni

Macelloni

Palchetti

et al. 2009

IEEE Trans. Geosci. Remote Sensing

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Regional features of microwave radiation and snow cover interaction on the example of the North of the European part of Russia

Cited by 3 publications

References 6 publications

Microwave Model of Radiation From the Multilayer ``Ocean-Atmosphere'' System for Remote Sensing Studies of the Polar Regions

Microwave Model of Radiation From the Multilayer ``Ocean-Atmosphere'' System for Remote Sensing Studies of the Polar Regions

Theoretical study of ice cover phenology at large freshwater lakes based on SMOS MIRAS data

Monitoring Snow Characteristics With Ground-Based Multifrequency Microwave Radiometry

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