Comparison of measured scattering coefficient of dry soil at X-band with the scattering coefficient estimated using the dielectric constant

Calla, O. P. N.; Harit, K.C.; Vyas, R.; Bohra, D.; Mishra, Sanjeev Kumar

doi:10.1109/igarss.2007.4423509

Cited by 6 publications

(3 citation statements)

References 1 publication

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“…The extracted permittivity results using both the methods, that is, the proposed ANN and standard probe method, are tabulated in Table 1. Here, it is to be noted that the considered soil samples in this work are assumed to be nonmagnetic in nature 15,16 . It is to be noted that the results obtained from ANN match reasonably with the dielectric probe method, with errors ranging less than 3%.…”

Section: Customized Artificial Neural Network For Estimation Of Functional Propertiesmentioning

confidence: 86%

Estimation of petroleum contents in bituminous soil using compact submersible radio frequency sensor based on artificial neural network

Verma

Jain

Tiwari

et al. 2021

Micro & Optical Tech Letters

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This paper presents a novel miniaturized noninvasive submersible compact planar sensor to estimate petroleum contents for various industrial and remote sensing applications. The proposed sensor is based on a microstrip technique wherein a complementary split‐ring resonator is used to sense samples under interrogation. The proposed compact sensor works at a resonating frequency of 8.87 GHz with quite high sensitivity. The designed sensor can accurately detect the shift in resonant frequency for corresponding change in soil samples and different level of petroleum contents. Furthermore, the sensor gives accurate permittivity extraction of various soil samples sample using an innovative automated neural network‐based algorithm. The experimental results show that the proposed sensor can detect materials contents with good repeatability, which can be used to detect the presence of petroleum constituents in transportation pipelines and mining exploration.

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Section: Customized Artificial Neural Network For Estimation Of Functional Propertiesmentioning

confidence: 86%

Estimation of petroleum contents in bituminous soil using compact submersible radio frequency sensor based on artificial neural network

Verma

Jain

Tiwari

et al. 2021

Micro & Optical Tech Letters

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“…Dielectric properties of soils of Rajasthan have been studied by some workers 2 . In order to increase the data base a comprehensive study of dielectric properties of soils with moisture content & frequency has been under taken.…”

Section: Introductionmentioning

confidence: 99%

Complex Permittivity of Soils of Western Rajasthan at Microwave Frequency

Vyas

Kalla³

2013

SSP

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Complex permittivity (ε', ε'') of soil sample of Western Rajasthan region is measured at 9.385 GHz for various moisture content at a temperature of 200c. The dielectric constant of dry soil is found in good agreement with literature values. The dielectric constant and dielectric loss of moist soil increases with increase in moisture content in soil. The dielectric data is used to calculate ac conductivity and emissivity.

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“…Rajasthan soil is an arid and desert soil, which is characterized by high salts and low humus contents. In these soils fertility increases with irrigation and by adding nutrients [2]. Soil salinization is one of the most common land degradation processes in arid and semi-arid regions, where precipitation exceeds over evaporation.…”

Section: Introductionmentioning

confidence: 99%

Dielectric Properties of Clay Loam Soil at Lower Microwave Frequencies

Buliya

Pancholi²,

Paliwal

et al. 2013

SSP

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Real and Imaginary parts ( ) of the Complex Dielectric Permittivity (ε*) of Clay Loam soil collected from Nanta Farm, CAD, Kota, Rajasthan have been measured using a Vector Network Analyzer with varied Moisture contents and Salinity levels in the frequency range 150 MHz to 2.2 GHz. Both and are observed to be strongly dependent on moisture content. The Reflection coefficient(R) , Emissivity(e) and Brightness temperature(T_B) of Microwaves for the soil sample were also calculated from the measured permittivity data. These parameters have their own importance in remote sensing of soil moisture using Microwave signals and show expected variations with soil salinity and Microwave frequencies used.

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Comparison of measured scattering coefficient of dry soil at X-band with the scattering coefficient estimated using the dielectric constant

Cited by 6 publications

References 1 publication

Estimation of petroleum contents in bituminous soil using compact submersible radio frequency sensor based on artificial neural network

Estimation of petroleum contents in bituminous soil using compact submersible radio frequency sensor based on artificial neural network

Complex Permittivity of Soils of Western Rajasthan at Microwave Frequency

Dielectric Properties of Clay Loam Soil at Lower Microwave Frequencies

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