pygimli

To run a geophysical inversion, you load your observed dataset, create a parameter mesh, run an inversion manager, and visualize the resulting subsurface property model. This workflow enables transforming raw measurements into interpretable models.

Yes, you can perform joint inversion to couple multiple datasets like ERT and SRT. This multi-method approach constrains subsurface properties by combining different geophysical measurements within a single inversion workflow.

The best way to generate meshes for near-surface geophysical modelling is using the built-in mesh generation utilities. These allow you to create parameter meshes required for forward modelling and subsequent inversion of ERT, SRT, IP, and GPR data.

Yes, you need numpy as a required dependency to support the underlying numerical operations. The framework relies on it to build meshes, run inversions, and interpret results across near-surface to subsurface scales.

You export inversion results and meshes using the built-in export utilities, which support VTK format. This enables reproducible workflows by saving your subsurface property models and generated meshes for future interpretation.

Yes, it supports forward modelling and inversion for IP and GPR workflows. The framework provides specialized managers to handle these methods, enabling researchers to build meshes and interpret results across near-surface to subsurface scales.