Tyler Erickson

Thanks for updating the permissions. I was able to reproduce your successful run, but only after I installed the netcdf4 package into Colab. `!pip install --quiet netCDF4` Script: https://colab.research.google.com/gist/tylere/f9ff7c75d5c9611dfa4192f003b02c33/xee-issue-119.ipynb#scrollTo=SrNyCSEKxnLy Given...

This issue doesn't have enough information to be actionable. @alxmrs could you provide more details on "what users expect" for the defaults?

Could you provide a description/details for this issue?

Why is this a bug, rather than an enhancement or process?

@daviddkovacs could you provide a [Minimum Reproducible Example](https://stackoverflow.com/help/minimal-reproducible-example) that demonstrates this issue, or let us know if this issue is obsolete?

Xee's `.to_netcdf()` method currently does not use the dimension ordering that is expected by many Python plotting libraries, and that appears to include the [R terra](https://cran.r-project.org/web/packages/terra/index.html) package. I started a...

> "Sentinel-2 imagery that has been preprocessed and is available as asset on EE." Is the image or image collection asset used publicly available? This would be helpful for trying...

Also, it is not clear how the "Original imagery" output was created. Did you use `ee.data.computePixels`? If so, what parameters were used?

Thanks for the clarification. Without a full reproducible example, I don't see a path forward for debugging this issue.

Instead of a private notebook, can you demonstrate the issue with a public notebook and a public dataset? For example: ``` mosaic = ee.ImageCollection("COPERNICUS/S2_SR_HARMONIZED").filter('2020-01-01', '2021-02-01').mosaic() ``` Here is a template...