Articles | Volume 8, issue 2
SOIL, 8, 507–515, 2022
SOIL, 8, 507–515, 2022
Short communication
29 Jul 2022
Short communication | 29 Jul 2022

An open Soil Structure Library based on X-ray CT data

Ulrich Weller et al.

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Cited articles

Armstrong, R. T., McClure, J. E., Robins, V., Liu, Z., Arns, C. H., Schlüter, S., and Berg, S.: Porous Media Characterization Using Minkowski Functionals: Theories, Applications and Future Directions, Transport Porous Med., 130, 305–335,, 2019. a, b
Baveye, P. C., Laba, M., Otten, W., Bouckaert, L., Dello Sterpaio, P., Goswami, R. R., Grinev, D., Houston, A., Hu, Y., Liu, J., Mooney, S., Pajor, R., Sleutel, S., Tarquis, A., Wang, W., Wei, Q., and Sezgin, M.: Observer-dependent variability of the thresholding step in the quantitative analysis of soil images and X-ray microtomography data, Geoderma, 157, 51–63,, 2010. a
Blunt, M. J., Bijeljic, B., Dong, H., Gharbi, O., Iglauer, S., Mostaghimi, P., Paluszny, A., and Pentland, C.: Pore-scale imaging and modelling, Adv. Water Resour., 51, 197–216,, 2013. a
Daly, K. R., Mooney, S. J., Bennett, M. J., Crout, N. M. J., Roose, T., and Tracy, S. R.: Assessing the influence of the rhizosphere on soil hydraulic properties using X-ray computed tomography and numerical modelling, J. Exp. Bot., 66, 2305–2314,, 2015. a
Dexter, A.: Advances in characterization of soil structure, Soil Till. Res., 11, 199–238,, 1988. a
Short summary
Soil structure is of central importance for soil functions. It is, however, ill defined. With the increasing availability of X-ray CT scanners, more and more soils are scanned and an undisturbed image of the soil's structure is produced. Often, a qualitative description is all that is derived from these images. We provide now a web-based Soil Structure Library where these images can be evaluated in a standardized quantitative way and can be compared to a world-wide data set.