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
Monitoring seawater intrusion dynamics with crosshole ERT
Palacios et al. (2020), Hydrol. Earth Syst. Sci.
Imaging electrified plant roots
Peruzzo et al. (2020), Plant and Soil
Optimized survey design for storage reservoir monitoring
Wagner et al. (2015), Geophysics
Structurally coupled inversion of electrical resistivity and seismic refraction data
Hellman et al. (2017), Journal of Applied Geophysics
Aquifer monitoring with long electrodes
Ronczka et al. (2015), Journal of Applied Geophysics
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
Coupling electrical and magnetic resonance soundings
Skibbe et al. (2018), Geophysics
Crosshole GPR with deep neural networks
Laloy et al. (2020)
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
Cole-Cole and Debye fitting of SIP/DP spectroscopy
Loewer et al. (2017), Geophysical Journal International
Simulating the electrical response of seawater intrusion in Australia
Costall et al. (2020), Scientific Reports
Petrophysical joint inversion for water, ice, and air
Wagner et al. (2019), Geophysical Journal International
Structural joint inversion on irregular meshes
Jordi et al. (2020), Geophysical Journal International
Open-source 3D surface nuclear-magnetic resonance
Skibbe et al. (2020), Geophysics
Coupling underwater electrial resistivity and seismic refraction tomography
Ronczka et al. (2017), Solid Earth
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.
3D ERT monitoring of infiltration processes
Hübner et al. (2017), Hydrol. Earth Syst. Sci.
Long-electrode ERT modelling study
Ronczka et al. (2015), Geophysics
Improved imaging using parameter and structure constraints
Wunderlich et al. (2018), 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
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
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.