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Planetary Imaging

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This project is focused on models and workflows to process primarily geostationary satellite imagery for a few starting uses:

  1. Combined global imagery -> an open reproduction of Zeus AI combined global imagery
  2. Dense Atmospheric motion vectors -> an open reproduction of Zeus AI dense atmospheric motion vectors

These are starting points, as the project aims to extend those ideas to all imaging channels, and potentially other satellite imagery sources. The main sources used initially would be easily the publicly available satellites, GOES, Himawari, GK-2A, and Meteosat satellites, nicely in Icechunk and available from Source Cooperative

Installation

Example usage

Documentation

FAQ

Development

Running the test suite

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Release files for planetary-imaging 0.0.1

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Source distribution for planetary-imaging 0.0.1
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Table of built distributions (wheels) for planetary-imaging 0.0.1
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planetary_imaging-0.0.1-py3-none-any.whl Python 3 none any Details

Total release size: 9.6 kB

Release files / planetary_imaging-0.0.1.tar.gz

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