Multipixel InSAR time series
This python library implements the method described in Jolivet & Simons 2018 (Geophysical Research Letters). In short, this library allows to solve the InSAR time series problem considering all pixels simultaneously and accounting for long wavelength trends and complete covariances.
Sorry, there is no setup.py script...
- Start by installing the prerequisites:
- openmpi (maybe mpich... should be okay... has not been tested...)
- PETSc
- HDF5 library with parallel support
- Python (works only with 2.7 because based on GIAnT) with the following libraries:
- numpy
- scipy
- mpi4py
- h5py (linked with HDF5 with parallel support)
- petsc4py
- Clone mpits in a directory
- Install GIAnT
- Add the appropriate directory to your PYTHONPATH
For examples, please visit R. Jolivet's website.
See TODO...
- Make sure GIAnT is python3 compatible and check that mpits runs as well.
- Write a manual...