Soil Morphological Analysis software is a C++, Python and CUDA (Compute Unified Device Architecture) program that is used to do statistical analysis of soil columns. SMAS pipeline process is divided into eight components from image processing to data analysis. SMAS was developed as a collaboration between the Universidad Nacional Autónoma de México, The University of Auckland and the Institut polytechnique de Grenoble.
Advantages of multi-region kriging over bi-region techniques for computed tomography-scan segmentation
Soil Research
2019 | journal-article
DOI: 10.1071/sr18294
Effect of X-ray CT resolution on the quality of permeability computation for granular soils: definition of a criterion based on morphological properties
Soil Research
2019 | journal-article
DOI: 10.1071/SR18189
Impacts of land use on hydrodynamic properties and pore architecture of volcanic soils from the Mexican Highlands
Soil Research
2019 | journal-article
DOI: 10.1071/SR18271
Morphogenesis and quantification of the pore space in a tephra-palaeosol sequence in Tlaxcala, central Mexico
Soil Research
2019 | journal-article
DOI: 10.1071/sr18185
Orchard management and preferential flow in Andosols-comparing two kiwifruit orchards in New Zealand
Soil Research
2019 | journal-article
DOI: 10.1071/sr18293
Runoff and nutrient loss from a water-repellent soil
Geoderma
2018 | journal-article
DOI: 10.1016/j.geoderma.2018.02.019
2,4-D mobility in clay soils: Impact of macrofauna abundance on soil porosity
Geoderma
2018 | journal-article
DOI: 10.1016/j.geoderma.2016.06.007
Application of smoothed particle hydrodynamics (SPH) and pore morphologic model to predict saturated water conductivity from X-ray CT imaging in a silty loam Cambisol
Geoderma
2015 | journal-article
DOI: 10.1016/j.geoderma.2016.06.007
Visualization and Characterization of Heterogeneous Water Flow in Double-Porosity Media by Means of X-ray Computed Tomography
Transport in Porous Media
2015 | journal-article
DOI: 10.1007/s11242-015-0572-z
Visualising 3D porous media fluid interaction using X-ray CT data and smooth particles hydrodynamics modelling
International Conference Image and Vision Computing New Zealand
2010 | conference-paper
DOI: 10.1109/ivcnz.2010.6148861
| Morphological property | Space | Morphological property | Space | Morphological property | Space |
| Total skeleton segment Distances | 3D | Skeleton points tangential Planes Equivalent Radius | 2D | Form factor 1 | 3D |
| Surface Area | 3D | Skeleton points tangential Planes Area/Distance Field | 2D | Sphericity F1 | 3D |
| Volume | 3D | Skeleton Branch Volume | 3D | Isoperimetric F2 | 3D |
| Mass Centre | 3D | Euclidian Length | 3D | isoperimetric F3 | 3D |
| Inertia Tensor | 3D | Geodesic Length | 3D | fc | 2D |
| Inertia Moments | 3D | Skeleton Number of Branches | 3D | Schlueter | 2D |
| Ellipsoid Semi Axes | 3D | Skeleton Tortuosity | 3D | Average hydraulic radius | 2D |
| Axes Principal Moment Inertia | 3D | Skeleton Curvature | 3D | Hydraulic radius error | 2D |
| Skeleton segments Absolute Angle Change | 3D | Form Factor | 3D | la | 2D |
| Nomalized skeleton segments Absolute Angle Change | 3D | Extend | 3D | LC | 3D |
| Skeleton points tangential Planes Circularity | 2D | Sphericity | 3D | R | 3D |
| Skeleton points tangential Planes Area | 2D | Compactness | 3D | Flow coefficient | 3D |
| Skeleton points tangential Planes Perimeter | 2D | Compactness | 2D | Percolation | 3D |