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A Python tool for estimating velocity and time-series from Interferometric Synthetic Aperture Radar (InSAR) data.
insar python geodesy image-processing remote-sensing time-series gis geoscience
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README.rst

docs/PyRate_logo_50.png

Python tool for InSAR Rate and Time-series Estimation

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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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