Separation of Soil Macropore Types in Three-Dimensional X-Ray Computed Tomography Images Based on Pore Geometry Characteristics

Research output: Contribution to journalArticleResearchpeer review

Authors

  • Martin Leue
  • Daniel Uteau-Puschmann
  • Stephan Peth
  • Jens Nellesen
  • Radka Kodesova
  • Horst H. Gerke

External Research Organisations

  • Leibniz Centre for Agricultural Landscape Research (ZALF)
  • University of Kassel
  • RIF-Institut für Forschung und Transfer
  • Czech University of Life Sciences Prague
View graph of relations

Details

Original languageEnglish
Article number180170
JournalVadose zone journal
Volume18
Issue number1
Early online date31 May 2019
Publication statusPublished - 2019
Externally publishedYes

Abstract

In structured soils, earthworm burrows, root channels, shrinkage cracks, and interaggregate spaces form complex macropore networks. Depending on the type and morphological properties, each macropore surface type is coated with specific organo-mineral compounds, differently affecting sorption and mass exchange during preferential flow and turnover processes. For a quantitative, macropore type-specific analysis using X-ray computed tomography (XRCT) with subsequent three-dimensional (3D) image analysis, a discrimination of biopores from cracks and interaggregate spaces is necessary. We developed a method that allows separating biopores from other larger macropores in 3D images from XRCT of intact soil cores. An image-processing workflow using the MAVI (Modular Algorithms for Volume Images) software framework ToolIP (Tool for Image Processing) was created to handle XRCT 3D images. Masking steps enabled to retain the surface roughness in the resulting two images of separated biopores and cracks. As a key point, the sizes of the structuring elements used in the spherical opening and dilation were objectively determined. For this purpose, maximum differences in the pore shapes between the 3D images of cylindrical biopores vs. more flat cracks and unregularly interaggregate spaces were focused. At the given resolution of 231-mm voxel edge length, an optimum size of 2.5 voxels was found for both processing steps. The voxel-based approach is applicable to XRCT 3D images of different spatial resolution and appears useful for the quantification of physicochemical surface properties of different macropore types for soil volumes, enabling a more precise description of preferential flow and transport.

ASJC Scopus subject areas

Cite this

Separation of Soil Macropore Types in Three-Dimensional X-Ray Computed Tomography Images Based on Pore Geometry Characteristics. / Leue, Martin; Uteau-Puschmann, Daniel; Peth, Stephan et al.
In: Vadose zone journal, Vol. 18, No. 1, 180170, 2019.

Research output: Contribution to journalArticleResearchpeer review

Leue M, Uteau-Puschmann D, Peth S, Nellesen J, Kodesova R, Gerke HH. Separation of Soil Macropore Types in Three-Dimensional X-Ray Computed Tomography Images Based on Pore Geometry Characteristics. Vadose zone journal. 2019;18(1):180170. Epub 2019 May 31. doi: 10.2136/vzj2018.09.0170
Download
@article{848cc5003fad4516be1fe462598c8704,
title = "Separation of Soil Macropore Types in Three-Dimensional X-Ray Computed Tomography Images Based on Pore Geometry Characteristics",
abstract = "In structured soils, earthworm burrows, root channels, shrinkage cracks, and interaggregate spaces form complex macropore networks. Depending on the type and morphological properties, each macropore surface type is coated with specific organo-mineral compounds, differently affecting sorption and mass exchange during preferential flow and turnover processes. For a quantitative, macropore type-specific analysis using X-ray computed tomography (XRCT) with subsequent three-dimensional (3D) image analysis, a discrimination of biopores from cracks and interaggregate spaces is necessary. We developed a method that allows separating biopores from other larger macropores in 3D images from XRCT of intact soil cores. An image-processing workflow using the MAVI (Modular Algorithms for Volume Images) software framework ToolIP (Tool for Image Processing) was created to handle XRCT 3D images. Masking steps enabled to retain the surface roughness in the resulting two images of separated biopores and cracks. As a key point, the sizes of the structuring elements used in the spherical opening and dilation were objectively determined. For this purpose, maximum differences in the pore shapes between the 3D images of cylindrical biopores vs. more flat cracks and unregularly interaggregate spaces were focused. At the given resolution of 231-mm voxel edge length, an optimum size of 2.5 voxels was found for both processing steps. The voxel-based approach is applicable to XRCT 3D images of different spatial resolution and appears useful for the quantification of physicochemical surface properties of different macropore types for soil volumes, enabling a more precise description of preferential flow and transport.",
author = "Martin Leue and Daniel Uteau-Puschmann and Stephan Peth and Jens Nellesen and Radka Kodesova and Gerke, {Horst H.}",
note = "Funding Information: This study was funded by the Deutsche Forschungsgemeinschaft (DFG), Bonn, Germany, under grant LE 3177/1-2: “Quantification of small-scale physicochemical and microbiological properties of intact macropore surfaces in structured soils.”",
year = "2019",
doi = "10.2136/vzj2018.09.0170",
language = "English",
volume = "18",
journal = "Vadose zone journal",
issn = "1539-1663",
publisher = "Soil Science Society of America",
number = "1",

}

Download

TY - JOUR

T1 - Separation of Soil Macropore Types in Three-Dimensional X-Ray Computed Tomography Images Based on Pore Geometry Characteristics

AU - Leue, Martin

AU - Uteau-Puschmann, Daniel

AU - Peth, Stephan

AU - Nellesen, Jens

AU - Kodesova, Radka

AU - Gerke, Horst H.

N1 - Funding Information: This study was funded by the Deutsche Forschungsgemeinschaft (DFG), Bonn, Germany, under grant LE 3177/1-2: “Quantification of small-scale physicochemical and microbiological properties of intact macropore surfaces in structured soils.”

PY - 2019

Y1 - 2019

N2 - In structured soils, earthworm burrows, root channels, shrinkage cracks, and interaggregate spaces form complex macropore networks. Depending on the type and morphological properties, each macropore surface type is coated with specific organo-mineral compounds, differently affecting sorption and mass exchange during preferential flow and turnover processes. For a quantitative, macropore type-specific analysis using X-ray computed tomography (XRCT) with subsequent three-dimensional (3D) image analysis, a discrimination of biopores from cracks and interaggregate spaces is necessary. We developed a method that allows separating biopores from other larger macropores in 3D images from XRCT of intact soil cores. An image-processing workflow using the MAVI (Modular Algorithms for Volume Images) software framework ToolIP (Tool for Image Processing) was created to handle XRCT 3D images. Masking steps enabled to retain the surface roughness in the resulting two images of separated biopores and cracks. As a key point, the sizes of the structuring elements used in the spherical opening and dilation were objectively determined. For this purpose, maximum differences in the pore shapes between the 3D images of cylindrical biopores vs. more flat cracks and unregularly interaggregate spaces were focused. At the given resolution of 231-mm voxel edge length, an optimum size of 2.5 voxels was found for both processing steps. The voxel-based approach is applicable to XRCT 3D images of different spatial resolution and appears useful for the quantification of physicochemical surface properties of different macropore types for soil volumes, enabling a more precise description of preferential flow and transport.

AB - In structured soils, earthworm burrows, root channels, shrinkage cracks, and interaggregate spaces form complex macropore networks. Depending on the type and morphological properties, each macropore surface type is coated with specific organo-mineral compounds, differently affecting sorption and mass exchange during preferential flow and turnover processes. For a quantitative, macropore type-specific analysis using X-ray computed tomography (XRCT) with subsequent three-dimensional (3D) image analysis, a discrimination of biopores from cracks and interaggregate spaces is necessary. We developed a method that allows separating biopores from other larger macropores in 3D images from XRCT of intact soil cores. An image-processing workflow using the MAVI (Modular Algorithms for Volume Images) software framework ToolIP (Tool for Image Processing) was created to handle XRCT 3D images. Masking steps enabled to retain the surface roughness in the resulting two images of separated biopores and cracks. As a key point, the sizes of the structuring elements used in the spherical opening and dilation were objectively determined. For this purpose, maximum differences in the pore shapes between the 3D images of cylindrical biopores vs. more flat cracks and unregularly interaggregate spaces were focused. At the given resolution of 231-mm voxel edge length, an optimum size of 2.5 voxels was found for both processing steps. The voxel-based approach is applicable to XRCT 3D images of different spatial resolution and appears useful for the quantification of physicochemical surface properties of different macropore types for soil volumes, enabling a more precise description of preferential flow and transport.

UR - http://www.scopus.com/inward/record.url?scp=85067260758&partnerID=8YFLogxK

U2 - 10.2136/vzj2018.09.0170

DO - 10.2136/vzj2018.09.0170

M3 - Article

VL - 18

JO - Vadose zone journal

JF - Vadose zone journal

SN - 1539-1663

IS - 1

M1 - 180170

ER -

By the same author(s)