We present a modular open-source software framework - kite (http://pyrocko.org), written in Python and C. The software enables rapid post-processing of space-born InSAR-derived surface displacement maps, swift parametrization and sub-sampling of the displacement measurements. With our package we aim to ease and streamline the optimization of earthquake source parameters from InSAR and GPS data and facilitate their joint optimization with seismological waveforms in combination with the pyrocko toolbox. Through such joint data optimizations from near- and far-field observations the determination of rupture parameters and processes will become more accurate and robust. Moreover, we present an intuitive kinematic deformation modelling sandbox for handling and manipulating various kinds of tectonic and volcanic deformation sources, interacting in elastic homogeneous or layered, full- or half-spaces.
Grond is an open source software tool for robust characterization of earthquake sources. Moment tensors and finite fault rupture models can be estimated from a combination of seismic waveforms, waveform attributes and geodetic observations like InSAR and GNSS. It helps you to investigate diverse magmatic, tectonic, and other geophysical processes at all scales.It delivers meaningful model uncertainties through a Bayesian bootstrap-based probabilistic joint inversion scheme. The optimisation explores the full model space and maps model parameter trade-offs with a flexible design of objective functions.Rapid forward modelling is enabled by using pre-computed Green's function databases, handled through the Pyrocko software library. They serve synthetic near-field surface displacements and synthetic seismic waveforms for arbitrary earthquake source models and geometries.