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To reference or cite the objects present in the Software Heritage archive, permalinks based on SoftWare Hash IDentifiers (SWHIDs) must be used.
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This interface enables to generate software citations, provided that the root directory of browsed objects contains a citation.cff or codemeta.json file.
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Generate software citation in BibTex format (requires biblatex-software package)
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Generate software citation in BibTex format (requires biblatex-software package)
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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
    :alt: License

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 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.

PyRate is compatible with: Python 3.

The full PyRate documentation is available at http://geoscienceaustralia.github.io/PyRate

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