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Resampling (reprojection) of geospatial image data in Python. Pyresample uses a kd-tree approach for resampling. Pyresample is designed for resampling of remote sensing data and supports resampling from both fixed grids and geolocated swath data. Several types of resampling are supported including nearest neighbour, gaussian weighting and weighting with a user defined radial function. Pyresample works with Numpy arrays including support for masked arrays. Support for parallel resampling using multiple processor cores. Plotting capablity using Basemap.

Pyresample is tested with Python 2.5 and 2.6.

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News

  • 2012-02-29: Pyresample-0.7.10 relased. Bugfixing crash on certain conditions when resampling multiple channels. Added warnings for potential problematic neighbour search results. Real dataset added to unittests.
  • 2011-08-10: Project switched to Git version control system.
  • 2011-06-07: Pyresample-0.7.8 relased. Bugfixes: vmin and vmax arguments are now respected in *_quicklook functions. Warning supressed for multiple calls to save_quicklook.
  • 2011-05-27: Pyresample-0.7.7 relased. Added Basemap integration for plotting.
  • 2011-04-07: Pyresample-0.7.6 relased. Very minor release. Made setup.py more robust.
  • 2011-03-24: Pyresample-0.7.5 relased. Reduced size of linesample arrays. Restructured kd_tree query to remove redundant lon lat calculations.

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