Jana (2026) ERT-Based Subsurface Resistivity Characterisation Using Python and pyGIMLi

Identification

• Journal: Open MIND
• Year: 2026
• Date: 2026-04-21
• Authors: Banani Jana
• DOI: 10.5281/zenodo.19686609

Research Groups

• Banani Jana (Independent Researcher/Developer)

Short Summary

This work provides a software implementation for subsurface resistivity characterization using Electrical Resistivity Tomography (ERT) based on Python and the pyGIMLi library.

Objective

• To develop and share a Python-based computational tool for the inversion and characterization of subsurface electrical resistivity data.

Study Configuration

• Spatial Scale: Local subsurface scale (site-specific).
• Temporal Scale: Not applicable (static characterization).

Methodology and Data

• Models used: pyGIMLi (Geophysical Inversion and Modelling Library).
• Data sources: Electrical Resistivity Tomography (ERT) measurements.

Main Results

• Development and release of a software package (version 1.0) that enables the processing and inversion of ERT data to characterize subsurface resistivity.

Contributions

• Provides an open-source, accessible Python implementation for geophysical resistivity inversion, lowering the barrier for researchers to perform subsurface characterization using the pyGIMLi framework.

Funding

• Not specified.

Citation

@article{Jana2026ERTBased,
  author = {Jana, Banani},
  title = {ERT-Based Subsurface Resistivity Characterisation Using Python and pyGIMLi},
  journal = {Open MIND},
  year = {2026},
  doi = {10.5281/zenodo.19686609},
  url = {https://doi.org/10.5281/zenodo.19686609}
}