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Dive into the research topics where Tumen N. Chimitdorzhiev is active.

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Featured researches published by Tumen N. Chimitdorzhiev.


Izvestiya Atmospheric and Oceanic Physics | 2017

Polarization Signature of Radar Backscattering Spatial Variations

Aleksey V. Dmitriev; Tumen N. Chimitdorzhiev; Pavel N. Dagurov

A new type of polarization signatures for the radar imaging of the Earth’s cover is proposed. These signatures allow determining the degree of spatial variations of the backscattering coefficient based on the fractal approach. The azimuthal dependence of the radar backscattering spatial variations is discovered when analyzing backscattering on a pine forest.


international geoscience and remote sensing symposium | 2016

X-band SAR interferometry for forest dynamics detection

Alexander Zakharov; Ludmila Zakharova; Tumen N. Chimitdorzhiev

The study aims at the interferometric phase measurements in order to estimate the effective phase center shift for the forested area during short time intervals (11-22 days) in X-band. Regular repeated-pass TerraSAR-X/TanDEM-X observations in winter, spring and summer allow interferometric measurements under different weather conditions. Low values of phase difference variations are typical for dry weather. Larger values were observed under the wet conditions and probably during the active vegetation period.


international geoscience and remote sensing symposium | 2016

Frost heave estimation of marshy soil by ALOS PALSAR interferometry and geodetic leveling, case study from the Baikal Lake region

Tumen N. Chimitdorzhiev; Pavel N. Dagurov; Michail Bykov; Aleksey V. Dmitriev; Irina Kirbizhekova

Estimation of vertical ground displacements due to seasonal periods of freezing and thawing was carried out on the Selenga River mouth using differential radar interferometry. The results of seasonal radar interferometry measurements for 2008-2010 have been compared with the survey data for 2011, under the assumption that the seasonal deformation is comparable for different years and lie within the limits of geodetic leveling error. The difference between the interferometric and geodetic measurements is below 1 cm in winter months, whereas in summer, as the upper soils moisture content varies, the difference reaches 2-2.7 cm. It has been concluded that the moisture content and its profile should be taken into consideration in summer or when choosing the radar interferometry in winter.


international geoscience and remote sensing symposium | 2016

Oil platforms in Caspian Sea as stable distributed radar scatterers for palsar calibration

Alexander Zakharov; Ludmila Zakharova; Mark Sorochinsky; Tumen N. Chimitdorzhiev

An analysis of oil platforms long-term stability in Caspian Sea seen on the Japanese synthetic aperture radar PALSAR and PALSAR-2 images is made. It is shown that typical radar cross section stability of oil platforms is about 0.5 dB, what is close to the parameters of specially designed calibration targets. Possibility of PALSAR and PALSAR-2 intercalibration using the oil platforms under study is demonstrated.


international geoscience and remote sensing symposium | 2016

Fractal polarization signature of radar backscattering variations

Aleksey V. Dmitriev; Tumen N. Chimitdorzhiev; Pavel N. Dagurov

A new type of polarization signatures for radar imaging of the earths cover is proposed. These signatures allow us to determine the degree of spatial variations of the backscattering coefficient on the basis of the fractal approach. The azimuthal dependence of the radar backscattering spatial variations is discovered when analyzing backscattering from a pine forest.


Optoelectronics, Instrumentation and Data Processing | 2016

New type of polarization signature for radar images of the Earth cover with fractal properties

Aleksey V. Dmitriev; Tumen N. Chimitdorzhiev; Pavel N. Dagurov

A new type of the polarization signature is proposed for estimating the anisotropy of spatial inhomogeneities of the Earth cover with the use of polarimetric radar images taken from space. The case of radar imaging of a pine forest in a decimeter band of wavelengths at different azimuthal angles is considered.


Journal of Applied Remote Sensing | 2016

Comparison of ALOS PALSAR interferometry and field geodetic leveling for marshy soil thaw/freeze monitoring, case study from the Baikal lake region, Russia

Tumen N. Chimitdorzhiev; Pavel N. Dagurov; Michael E. Bykov; Aleksey V. Dmitriev; Irina Kirbizhekova

Abstract. Estimation of vertical ground displacements due to seasonal periods of freezing and thawing was carried out on the Selenga river mouth using differential radar interferometry. The results of seasonal radar interferometry measurements from 2008 to 2010 have been compared with the survey data for 2011, under the assumption that the seasonal deformation is comparable for different years and lies within the limits of geodetic leveling error. The difference between the interferometric and geodetic measurements is <1  cm in winter months, whereas in summer, as the upper soil moisture content varies, the difference reaches 2 to 2.7 cm. It has been concluded that the moisture content and its profile should be taken into consideration in summer or when choosing the radar interferometry in winter.


international siberian conference on control and communications | 2011

Soil moisture measuring technique in the Baikal region for validation of SMOS mission

Pavel N. Dagurov; Aleksey V. Dmitriev; Valery L. Mironov; Tumen N. Chimitdorzhiev

The technique of ground-based soil moisture measurements based on the bistatic scatterometry of soil is considered. Method of soil moisture retrieval from measurements is described.


Fourteenth International Symposium on Atmospheric and Ocean Optics/Atmospheric Physics | 2007

Reflection from the rough surface at glancing angles

Pavel N. Dagurov; Aleksey V. Dmitriev; Tumen N. Chimitdorzhiev

New approach to the calculation of reflection from the rough surface by means of Kirchhoffs method at glancing angle is presented. It is shown that value of reflected coherent field at glancing propagation depends on the size of the surface roughness.


international geoscience and remote sensing symposium | 2005

Coprocessing of radar coherence and spectral optical data

Valery L. Mironov; Tumen N. Chimitdorzhiev; Pavel N. Dagurov; Aleksey V. Dmitriev

In this paper, a new approach to coprocessing of radar coherence and spectral optical data is proposed to gain reliability of classification for some types of earth covers. The enhanced correlation between the HH-VV coherence and the soil brightness index, as well as between the HH-VV coherence and the green vegetation index, calculated with the use of radar and optical images was noticed, being further applied to reach this goal. Keywords-radar coherence, correlation coefficients, green vegetation index, soil brightness index

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Pavel N. Dagurov

Russian Academy of Sciences

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Alexander Zakharov

Russian Academy of Sciences

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Ludmila Zakharova

Russian Academy of Sciences

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Valery L. Mironov

Russian Academy of Sciences

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