Published February 23, 2023 | Version 1.0
Computational notebook Open

MiGIS toolbox for QGIS 3

Authors/Creators

  • 1. ROR icon University of Cologne

Contributors

Related person:

Supervisor:

  • 1. ROR icon Universität Koblenz
  • 2. ROR icon University of Cologne

Description

The toolbox MiGIS for QGIS 3 aims to enhance the field of digital micromorphological analysis. This methodology centers on classifying micromorphological constituents through their unique color values (multi-RGB signatures), obtained by employing (transmitted light) flatbed scanning on thin sections under various modes (transmitted, cross-polarized, and reflected light). The resultant maps of thin sections facilitate the quantification of features, visualization of spatial patterns, and ensure reproducibility in the analysis.

Files

MiGIS-main.zip

Files (7.7 MB)

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Additional details

Related works

Is published in
Computational notebook: https://github.com/Mirijamz/MiGIS (URL)

Funding

Deutsche Forschungsgemeinschaft
Research grant 408333614

Dates

Accepted
2023-12-06
Related article: MiGIS: micromorphological soil and sediment thin section analysis using an open-source GIS and machine learning approach. E&G Quaternary Science Journal

References

  • Breiman, L., 2001. "Random Forests". Machine Learning, 45 (1), 5-32.
  • GDAL/OGR contributors, 2022. GDAL/OGR Geospatial Data Abstraction software Library. Open Source Geospatial Foundation. URL https://gdal.org , DOI: 10.5281/zenodo.5884351, last access [2024-01-18]
  • Karasiak, N., 2016. Dzetsaka Qgis Classification plugin. https://github.com/nkarasiak/dzetsaka/, last access [2024-01-18]
  • Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., Grisel, O., Blondel, M., Prettenhofer, P., Weiss, R., Dubourg, V., Vanderplas, J., Passos, A., Cournapeau, D., Brucher, M., Perrot, M., Duchesnay, É., 2011. Scikit-learn: Machine Learning in Python, JMLR 12, 2825-2830.
  • QGIS Development Team, 2022. QGIS Geographic Information System, Version 3.22. Open Source Geospatial Foundation. https://www.qgis.org/en/site/index.html, last access [2024-01-18]