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TopCap: a tool to quantify soil surface topology and subsurface structure

Garbout, Amin; Sturrock, Craig J.; Armenise, Elena; Ahn, Sujung; Simmons, Robert W.; Doerr, Stefan; Ritz, Karl; Mooney, Sacha J.

Authors

Amin Garbout garbout@nottingham.ac.uk

Elena Armenise

Sujung Ahn

Robert W. Simmons

Stefan Doerr

Karl Ritz

SACHA MOONEY sacha.mooney@nottingham.ac.uk
Professor of Soil Physics



Abstract

The surface of a material such as soil, as characterised by its topology and roughness, typically has a profound effect on its functional behaviour. Whilst non-destructive imaging techniques such as X-ray Computed Tomography (CT) have been extensively employed in recent years to characterise the internal architecture of soil, less attention has been paid to the morphology of the soil surface, possibly as other techniques such as scanning electron microscopy (SEM) and atomic force microscopy (AFM) are viewed as more appropriate. However, X-ray CT exploration of the surface of a soil also permits analysis immediately below its surface and beyond into the sample, contingent on its thickness. This provides important information such as how a connected structure might permit solute infiltration or gaseous diffusion through the surface and beyond into the subsurface matrix. A previous limitation to this approach had been the inability to segment and quantify the actual 3-D structural complexity at the surface, rather than a predefined geometrically simplistic volume immediately below it. To overcome this we formulated TopCap, a novel algorithm that operates with ImageJ as a plugin, which automatically captures the actual 3D surface morphology, segments the pore structure within the acquired 3D volume, and provides a series of incisive morphological measurements of the associated porous architecture. TopCap provides rapid, automated analysis of the immediate surface of materials and beyond, and whilst developed in the context of soil, is applicable to any 3D image volume.

Journal Article Type Article
Publication Date Mar 29, 2018
Journal Vadose Zone Journal
Electronic ISSN 1539-1663
Publisher Soil Science Society of America
Peer Reviewed Peer Reviewed
Volume 17
Issue 1
APA6 Citation Garbout, A., Sturrock, C. J., Armenise, E., Ahn, S., Simmons, R. W., Doerr, S., …Mooney, S. J. (2018). TopCap: a tool to quantify soil surface topology and subsurface structure. Vadose Zone Journal, 17(1), https://doi.org/10.2136/vzj2017.05.0091
DOI https://doi.org/10.2136/vzj2017.05.0091
Keywords soil surface, soil crust, X-ray Computed Tomography, threshold, surface detection, porosity
Publisher URL https://dl.sciencesocieties.org/publications/vzj/abstracts/17/1/170091
Copyright Statement Copyright information regarding this work can be found at the following address: http://creativecommons.org/licenses/by/4.0

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Copyright Statement
Copyright information regarding this work can be found at the following address: http://creativecommons.org/licenses/by/4.0





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