pyGIMLi is an open-source multi-method library for modelling and inversion in
pyGIMLi-based research papers
Complex EM modelling using Open-Source custEM
Rochlitz et al. (2018), Geophysics
Aquifer monitoring with long electrodes
Ronczka et al. (2015), Journal of Applied Geophysics
Ice estimation in alpine permafrost via joint inversion
Mollaret et al. (2020), Front. Earth Sci.
Laterally-constrained inversion of airborne MRS
Costabel et al. (2016), Geophysics
Open-source 3D surface nuclear-magnetic resonance
Skibbe et al. (2020), Geophysics
Structural joint inversion on irregular meshes
Jordi et al. (2020), Geophysical Journal International
Improved imaging using parameter and structure constraints
Wunderlich et al. (2018), Geophysics
Long-electrode ERT modelling study
Ronczka et al. (2015), Geophysics
Monitoring seawater intrusion dynamics with crosshole ERT
Palacios et al. (2020), Hydrol. Earth Syst. Sci.
Probabilistic inference of subsurface heterogeneity and interface geometry
de Pasquale et al. (2019), Geophysical Journal International
Block Joint VES and MRS inversion
Günther & Müller-Petke (2012), Hydrol. Earth Syst. Sci.
Coupling electrical and magnetic resonance soundings
Skibbe et al. (2018), Geophysics
3D ERT monitoring of infiltration processes
Hübner et al. (2017), Hydrol. Earth Syst. Sci.
Improved geophysical images through geostatistical regularization
Jordi et al. (2018), Geophysical Journal International
Structural contraints on ERT derived from reflection seismics
Bergmann et al. (2014), Geophysics
Spectral induced polarization constraints
Günther & Martin (2016), Journal of Applied Geophysics
DC/IP imaging of trees
Martin & Günther (2013), European Journal of Forest Research
Imaging electrified plant roots
Peruzzo et al. (2020), Plant and Soil
Crosshole GPR with deep neural networks
Laloy et al. (2020)
Optimized survey design for storage reservoir monitoring
Wagner et al. (2015), Geophysics
Coupling underwater electrial resistivity and seismic refraction tomography
Ronczka et al. (2017), Solid Earth
Cole-Cole and Debye fitting of SIP/DP spectroscopy
Loewer et al. (2017), Geophysical Journal International
Petrophysical joint inversion for water, ice, and air
Wagner et al. (2019), Geophysical Journal International
Structurally coupled inversion of electrical resistivity and seismic refraction data
Hellman et al. (2017), Journal of Applied Geophysics
Available for different platforms.
pyGIMLi has been successfully compiled on Windows, various Linux distributions and Mac OS X. See the installation section
for more details on how to install or build pyGIMLi.
Check out the tutorials.
To get started, have a look at the
. Applications and user stories can be found in the
. You can test all tutorials and examples as Jupyter
without installation at try.pygimli.org
We want your help.
You found a bug or desperately miss a certain functionality? Fill out a
bug report or a feature
. If you have used pyGIMLi for an interesting application, consider
your example. Please cite the pyGIMLi paper
or derived ones when using it for scientific purposes.