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Revision acf7ae0d8819410e8e92241ca6531716471b6db3 authored by Syed Sheece Raza Gardezi on 31 October 2019, 00:02:32 UTC, committed by GitHub on 31 October 2019, 00:02:32 UTC
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README.rst
.. image:: docs/PyRate_logo_50.png

Python tool for InSAR Rate and Time-series Estimation
================================================================

.. image:: https://travis-ci.org/GeoscienceAustralia/PyRate.svg?branch=master
   :target: https://travis-ci.org/GeoscienceAustralia/PyRate
.. image:: https://coveralls.io/repos/github/GeoscienceAustralia/PyRate/badge.svg?branch=master
   :target: https://coveralls.io/github/GeoscienceAustralia/PyRate?branch=master
.. image:: https://img.shields.io/badge/License-Apache%202.0-blue.svg
   :target: https://opensource.org/licenses/Apache-2.0
.. image:: https://img.shields.io/pypi/pyversions/Py-Rate 
   :target: https://pypi.org/project/Py-Rate/ 

PyRate is a Python tool for estimating the average 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

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