https://github.com/GeoscienceAustralia/PyRate
Tip revision: 8e752c3563eebfe216c354c584c8976292199767 authored by Sudipta Basak on 31 May 2021, 23:51:08 UTC
orbital independent correction] reuse network method correction for independent method
orbital independent correction] reuse network method correction for independent method
Tip revision: 8e752c3
README.rst
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Python tool for InSAR Rate and Time-series Estimation
=====================================================
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PyRate is a Python tool for estimating the average displacement rate (velocity) and cumulative displacement time-series of surface movements for every pixel in a stack of geocoded unwrapped interferograms generated by Interferometric Synthetic Aperture Radar (InSAR) processing. PyRate uses a "Small Baseline Subset" (SBAS) processing strategy and currently supports input data in the GAMMA or ROI_PAC software formats.
The PyRate project started in 2012 as a partial Python translation of "Pirate", a Matlab tool developed by the University of Leeds and the Guangdong University of Technology.
The full PyRate documentation is available at http://geoscienceaustralia.github.io/PyRate
Dependencies
------------
The following system dependencies are required by PyRate:
- `Python <https://www.python.org/downloads/>`_, versions 3.6, 3.7, 3.8 or 3.9.
- `GDAL <https://gdal.org/download.html>`_, versions 3.0.2 or 3.0.4
- `Open MPI <https://www.open-mpi.org/software/ompi/v4.0/>`_, versions 2.1.6, 3.0.4, 3.1.4 or 4.0.2
The versions of each package stated above have been tested to work using `GitHub Actions <https://github.com/GeoscienceAustralia/PyRate/actions>`_ continuous integration testing.
Python dependencies for PyRate are::
joblib==0.14.1
mpi4py==3.0.3
networkx==2.4
numpy==1.18.3
pyproj==2.6.0
scipy==1.4.1
numexpr==2.7.1
Install
-------
Details of all install options are given in the `PyRate documentation <http://geoscienceaustralia.github.io/PyRate>`_.
PyRate and its Python dependencies can be installed directly from the `Python Package Index (PyPI) <https://pypi.org/project/Py-Rate/>`_::
pip install Py-Rate
Alternatively, to install from source and create an executable program in Linux, enter these commands in a terminal::
cd ~
git clone https://github.com/GeoscienceAustralia/PyRate.git
python3 -m venv ~/PyRateVenv
source ~/PyRateVenv/bin/activate
cd ~/PyRate
python3 setup.py install
This will install the above-listed Python dependencies and compile the executable program ``pyrate``.
To learn more about using PyRate, type ``pyrate`` command in the terminal::
>> pyrate --help
usage: pyrate [-h] [-v {DEBUG,INFO,WARNING,ERROR}]
{conv2tif,prepifg,correct,timeseries,stack,merge,workflow} ...
PyRate workflow:
Step 1: conv2tif
Step 2: prepifg
Step 3: correct
Step 4: timeseries
Step 5: stack
Step 6: merge
Refer to https://geoscienceaustralia.github.io/PyRate/usage.html for
more details.
positional arguments:
{conv2tif,prepifg,correct,timeseries,stack,merge,workflow}
conv2tif Convert interferograms to geotiff.
prepifg Perform multilooking, cropping and coherence masking to interferogram geotiffs.
correct Calculate and apply corrections to interferogram phase data.
timeseries Timeseries inversion of interferogram phase data.
stack Stacking of interferogram phase data.
merge Reassemble computed tiles and save as geotiffs.
workflow Sequentially run all the PyRate processing steps.
optional arguments:
-h, --help show this help message and exit
-v {DEBUG,INFO,WARNING,ERROR}, --verbosity {DEBUG,INFO,WARNING,ERROR}
Increase output verbosity
Test
----
To run the test suite, enter these commands in the terminal::
pip install -r requirements-test.txt
python3 -m pytest -m "not slow" tests/
To run the tests for a single module (e.g. test_timeseries.py), use this command::
python3 -m pytest tests/test_timeseries.py