#Satpy
Les données sont des fichiers NetCDF de niveau 1c (mesures calibrées, pas une image), pris sur le Data Store d'EUMETSAT : ~2 Go pour ce cycle de 10 min (FDHSI + HRFI). Traitement : Python + Satpy, sans reprojection. #Satpy 👇
October 14, 2026 at 3:56 PM
If you've been looking for a quick way to make some GOES composites (e.g. geocolor, airmass), here's a notebook showing how to do it using SatPy and AWS S3 data (optionally a little bit of the next @metpy.bsky.social release). gist.github.com/dopplershift...
Create GOES composite imagery products in Python using SatPy and data from public AWS S3 buckets.
Create GOES composite imagery products in Python using SatPy and data from public AWS S3 buckets. - GOES Composites with SatPy.ipynb
gist.github.com
April 12, 2025 at 6:12 PM
Le dôme de chaleur qui accable actuellement la France et l'Europe vu depuis l'espace.

📸Eumetsat/Satpy/T. Auriel
May 27, 2026 at 10:36 AM
You were right, SatPy has gotten really easy to use! Thanks for sharing this.
April 12, 2025 at 9:16 PM
I’m lazy and use grays, maybe with a square root enhancement, but there are some custom ones (wvcimss might work well) here: unidata.github.io/MetPy/latest...

There’s also the SatPy / pytroll projects …
Colortables (metpy.plots.ctables) — MetPy 1.6
unidata.github.io
January 9, 2025 at 10:47 PM
Pytroll (pytroll.github.io) is now on Bluesky!

Here comes a Sentinel-2 image generated with Satpy. Can anyone guess where on earth this is ? :)
August 12, 2025 at 7:46 AM
Furieuse tempête au large de l'Islande vue de 🛰️Noaa-20 ce 11/12 à 13:25UTC. Image canal IR 10.8 (via satpy/pytroll).
À partir de données reçues au Centre de Météorologie Spatiale de @meteofrance.com à Lannion.
December 11, 2025 at 3:41 PM
You might look into Satpy or GOES-2-go
February 17, 2026 at 3:42 PM
After fumbling around with SatPy API and throwing the entire kitchen sink into Spyder, I've managed to get Himawari-9 data from the AWS servers. Here's a look at Typhoon Gaemi as it approached Taiwan in July of this year.
November 12, 2024 at 5:17 AM
Sveiciens ziemas saulgriežos! 🌍 ☀️❄️
Ar visīsako dienu (6h 43 min), un visgarāko NĀKAMO nakti (17h 17 min) būsim noslēguši grimšanu tumsā un rīt jau varēsim svinēt gaismas uzvaru (kaut arī par nieka 2-3 sekundēm).

🌎 EUMETSAT / SatPy (processed by MeteoLatvia)
December 21, 2025 at 3:04 PM
I thought about SatPy, I may have to give it (and GOES-2-Go) a second look. 🤔
February 17, 2026 at 4:14 PM
Looks great!
It's just a bummer that GOES data has the atmosphere clipped away. HIMAWARI data doesn't do that, but last I checked, satpy is not able to preserve it anyway...
July 29, 2025 at 9:10 AM
Yeah, that was my goal too.
At some point you'll have to dig into the composite and enhancements definitions if you want to understand what they do exactly.
I can also recommend joining the satpy slack server, people were very helpful there last time.
July 23, 2025 at 9:33 PM
SatPy is good if you have an established processing method and need to run it on a bunch of timestamps, but tweaking it's output "until the image looks right", it was very tedious.

Maybe newer tools like GEE are easier in that regard, but I can't speak to that.
July 23, 2025 at 8:58 PM
I used satpy a few years ago to process GOES data with good color representation.
I remember having to define my own composite "recipe" since the default ones didn't quite look the part. SatPy is certainly capable of what you're trying to do, if you want I can try to find my old code.
July 23, 2025 at 8:48 AM
New experiment: instead of writing a whole blog post every time I learn something interesting, or just posting it on social media (which doesn't work well for code or nuance), I'm going to try just writing a "TIL"-style quick post.

First post: til.arktronic.com/2024/12/15/s...
Creating a GeoColor image from GOES-West/GOES-East L2 data using SatPy
After a significant amount of trial and error, I figured out how to use SatPy to create a GeoColor image from GOES satellites. I tried doing the same with Himawari L1 data, but the process kept runnin...
til.arktronic.com
December 16, 2024 at 5:57 AM
Coastlines from Natural Earth. Created with goes2go, satpy, gdal, QGIS, & After Effects.
October 28, 2025 at 1:22 AM
GOES-18 data from @noaa.gov collected every 5 minutes, shown at 15fps, processed with Satpy. QGIS/Illustrator/After Effects for state boundaries and light frame interpolation.

www.goes-r.gov/multimedia/d...

registry.opendata.aws/noaa-goes/

satpy.readthedocs.io/en/stable/
Satpy’s Documentation — Satpy 0.57.1.dev0+g70e3d3b72.d20250613 documentation
satpy.readthedocs.io
July 30, 2025 at 2:32 PM
Anyone have experience with satpy (or other ways of working with GOES data)? I’m trying to make full-resolution RGB composites of CONUS from GOES West and there’s not much documentation.

Trying to make a full-res version of this image with better color.
July 22, 2025 at 10:51 PM
Add additional dependencies to `show_versions` and `check_satpy` (Python) - satpy https://github.com/pytroll/satpy/issues/3116 #climate #sustainability #opensource #opensustain #goodfirstissue #goodfirstissues
May 1, 2025 at 12:09 PM
A new AI review! pytroll/satpy ⭐4.0/5.0
Satpy is a mature, production-grade Python library for reading, resampling, compositing, and exporting meteorological/earth-observation satellite data.
https://gitrated.com/pytroll/satpy
April 15, 2026 at 12:11 PM
Satpy can preserve this.
July 30, 2025 at 3:16 PM
The long wavelength channels show up oil wells nicely just by visualising the channel alone (I use satpy / pytroll). The short wavelength channels need a lot of aggregation and denoising.

There was another test on 9th, by the way, at around the same time.
May 12, 2025 at 7:50 AM
Add additional dependencies to `show_versions` and `check_satpy` (Python) - satpy https://github.com/pytroll/satpy/issues/3116 #climate #sustainability #opensource #opensustain #goodfirstissue #goodfirstissues
May 1, 2025 at 12:08 PM