Planetary Imaging
This project is focused on models and workflows to process primarily geostationary satellite imagery for a few starting uses:
- Combined global imagery -> an open reproduction of Zeus AI combined global imagery
- 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
Metadata
Release files for planetary-imaging 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| planetary_imaging-0.0.1.tar.gz | 5.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| 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
| Download URL | planetary_imaging-0.0.1.tar.gz |
|---|---|
| Size | 5.3 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.14.6
|
Release files / planetary_imaging-0.0.1-py3-none-any.whl
| Download URL | planetary_imaging-0.0.1-py3-none-any.whl |
|---|---|
| Size | 4.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.14.6
|