Probability density function: A tool for simultaneous monitoring of pore/solid roughness and moisture content

K. Oleschko; G. Korvin; L. Flores; F. Brambila; C. Gaona; J. F. Parrot; G. Ronquillo; S. Zamora

doi:10.1016/j.geoderma.2009.10.015

Probability density function: A tool for simultaneous monitoring of pore/solid roughness and moisture content

K. Oleschko^*, G. Korvin, L. Flores, F. Brambila, C. Gaona, J. F. Parrot, G. Ronquillo, S. Zamora

^*Corresponding author for this work

King Fahd University of Petroleum & Minerals

Research output: Contribution to journal › Article › peer-review

6 Scopus citations

Abstract

We present a novel approach to multiscale fractal image analysis for monitoring the dynamics of the soil pore/solid network roughness due to moisture content changes. Roughness of the gray-level probability density function (PDF) of subsequent images of the drying soil was expressed in terms of its Hurst exponent (H_PDF), which correlated significantly with the soil dielectric permittivity and gravimetric water content, as well as with micro-horizon depth and the temporal progress of drying. We documented an intermittent character of the water content dynamics, correlating with oscillations of the pore/solid interface roughness. Our technique of PDF roughness analysis of digital images, exemplified here for soil moisture monitoring, can be applied for monitoring the other complex systems, for instance plant growth in greenhouse.

Original language	English
Pages (from-to)	93-104
Number of pages	12
Journal	Geoderma
Volume	160
Issue number	1
DOIs	https://doi.org/10.1016/j.geoderma.2009.10.015
State	Published - 30 Nov 2010

Bibliographical note

Funding Information:
This research was supported by the Consejo Nacional de la Ciencia y Tecnologia (CONACyT), Mexico , under grants 42571 , 84502 and PAPIIT (UNAM) , IN116009 . All SEM images were taken with the help of Sara Fuentes, from the Institute of Biology, UNAM, whose kind contribution in this research is highly appreciated. Dr. Korvin carried out part of this research in his home Institute, the King Fahd University of Petroleum and Minerals, Saudi Arabia, and expresses his gratitude for the excellent research facilities.

Keywords

Gray level frequency distribution
Hurst exponent
Soil structure
Visual singularity

ASJC Scopus subject areas

Soil Science

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10.1016/j.geoderma.2009.10.015

Cite this

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title = "Probability density function: A tool for simultaneous monitoring of pore/solid roughness and moisture content",

abstract = "We present a novel approach to multiscale fractal image analysis for monitoring the dynamics of the soil pore/solid network roughness due to moisture content changes. Roughness of the gray-level probability density function (PDF) of subsequent images of the drying soil was expressed in terms of its Hurst exponent (HPDF), which correlated significantly with the soil dielectric permittivity and gravimetric water content, as well as with micro-horizon depth and the temporal progress of drying. We documented an intermittent character of the water content dynamics, correlating with oscillations of the pore/solid interface roughness. Our technique of PDF roughness analysis of digital images, exemplified here for soil moisture monitoring, can be applied for monitoring the other complex systems, for instance plant growth in greenhouse.",

keywords = "Gray level frequency distribution, Hurst exponent, Soil structure, Visual singularity",

author = "K. Oleschko and G. Korvin and L. Flores and F. Brambila and C. Gaona and Parrot, \{J. F.\} and G. Ronquillo and S. Zamora",

note = "Funding Information: This research was supported by the Consejo Nacional de la Ciencia y Tecnologia (CONACyT), Mexico , under grants 42571 , 84502 and PAPIIT (UNAM) , IN116009 . All SEM images were taken with the help of Sara Fuentes, from the Institute of Biology, UNAM, whose kind contribution in this research is highly appreciated. Dr. Korvin carried out part of this research in his home Institute, the King Fahd University of Petroleum and Minerals, Saudi Arabia, and expresses his gratitude for the excellent research facilities. ",

year = "2010",

month = nov,

day = "30",

doi = "10.1016/j.geoderma.2009.10.015",

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T1 - Probability density function

T2 - A tool for simultaneous monitoring of pore/solid roughness and moisture content

AU - Oleschko, K.

AU - Korvin, G.

AU - Flores, L.

AU - Brambila, F.

AU - Gaona, C.

AU - Parrot, J. F.

AU - Ronquillo, G.

AU - Zamora, S.

N1 - Funding Information: This research was supported by the Consejo Nacional de la Ciencia y Tecnologia (CONACyT), Mexico , under grants 42571 , 84502 and PAPIIT (UNAM) , IN116009 . All SEM images were taken with the help of Sara Fuentes, from the Institute of Biology, UNAM, whose kind contribution in this research is highly appreciated. Dr. Korvin carried out part of this research in his home Institute, the King Fahd University of Petroleum and Minerals, Saudi Arabia, and expresses his gratitude for the excellent research facilities.

PY - 2010/11/30

Y1 - 2010/11/30

N2 - We present a novel approach to multiscale fractal image analysis for monitoring the dynamics of the soil pore/solid network roughness due to moisture content changes. Roughness of the gray-level probability density function (PDF) of subsequent images of the drying soil was expressed in terms of its Hurst exponent (HPDF), which correlated significantly with the soil dielectric permittivity and gravimetric water content, as well as with micro-horizon depth and the temporal progress of drying. We documented an intermittent character of the water content dynamics, correlating with oscillations of the pore/solid interface roughness. Our technique of PDF roughness analysis of digital images, exemplified here for soil moisture monitoring, can be applied for monitoring the other complex systems, for instance plant growth in greenhouse.

AB - We present a novel approach to multiscale fractal image analysis for monitoring the dynamics of the soil pore/solid network roughness due to moisture content changes. Roughness of the gray-level probability density function (PDF) of subsequent images of the drying soil was expressed in terms of its Hurst exponent (HPDF), which correlated significantly with the soil dielectric permittivity and gravimetric water content, as well as with micro-horizon depth and the temporal progress of drying. We documented an intermittent character of the water content dynamics, correlating with oscillations of the pore/solid interface roughness. Our technique of PDF roughness analysis of digital images, exemplified here for soil moisture monitoring, can be applied for monitoring the other complex systems, for instance plant growth in greenhouse.

KW - Gray level frequency distribution

KW - Hurst exponent

KW - Soil structure

KW - Visual singularity

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DO - 10.1016/j.geoderma.2009.10.015

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AN - SCOPUS:77953934347

SN - 0016-7061

VL - 160

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JO - Geoderma

JF - Geoderma

IS - 1

ER -

Probability density function: A tool for simultaneous monitoring of pore/solid roughness and moisture content

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

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