Articles | Volume 8, issue 2
Short communication
29 Jul 2022
Short communication |  | 29 Jul 2022

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

Ulrich Weller, Lukas Albrecht, Steffen Schlüter, and Hans-Jörg Vogel

Related authors

The soil knowledge library (KLIB) – a structured literature database on soil process research
Hans-Jörg Vogel, Bibiana Betancur-Corredor, Leonard Franke, Sara König, Birgit Lang, Maik Lucas, Eva Rabot, Bastian Stößel, Ulrich Weller, Martin Wiesmeier, and Ute Wollschläger
SOIL, 9, 533–543,,, 2023
Short summary
A systemic approach for modeling soil functions
Hans-Jörg Vogel, Stephan Bartke, Katrin Daedlow, Katharina Helming, Ingrid Kögel-Knabner, Birgit Lang, Eva Rabot, David Russell, Bastian Stößel, Ulrich Weller, Martin Wiesmeier, and Ute Wollschläger
SOIL, 4, 83–92,,, 2018
Short summary

Related subject area

Soil and methods
Spatial prediction of organic carbon in German agricultural topsoil using machine learning algorithms
Ali Sakhaee, Anika Gebauer, Mareike Ließ, and Axel Don
SOIL, 8, 587–604,,, 2022
Short summary
On the benefits of clustering approaches in digital soil mapping: an application example concerning soil texture regionalization
István Dunkl and Mareike Ließ
SOIL, 8, 541–558,,, 2022
Short summary
Identification of thermal signature and quantification of charcoal in soil using differential scanning calorimetry and benzene polycarboxylic acid (BPCA) markers
Brieuc Hardy, Nils Borchard, and Jens Leifeld
SOIL, 8, 451–466,,, 2022
Short summary
Estimating soil fungal abundance and diversity at a macroecological scale with deep learning spectrotransfer functions
Yuanyuan Yang, Zefang Shen, Andrew Bissett, and Raphael A. Viscarra Rossel
SOIL, 8, 223–235,,, 2022
Short summary
An underground, wireless, open-source, low-cost system for monitoring oxygen, temperature, and soil moisture
Elad Levintal, Yonatan Ganot, Gail Taylor, Peter Freer-Smith, Kosana Suvocarev, and Helen E. Dahlke
SOIL, 8, 85–97,,, 2022
Short summary

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.