Agree with all this, unfortunately xarray was a bit late with PR 9543 that provides a basis for implicit coordinates (and will hopefully feed down into Zarr), and knowing the difference from the low basis NetCDF provided.
There's a lot to it, but my read is that xarray is the new and way better NetCDF (and I mean really damn impressive and ambitious and general), but because it's born in python it missed a lot of really key geospatial foundations that we take for granted, and for various reasons don't flow well from rasterio through xarray . I have long seen a need for some pretty serious cross discipline reviews, and many of those are happening but not always enough, especially with generational overwork and "novelty" burnout. Appreciate the discussion here a lot. Cheers, Mike On Thu, Feb 27, 2025, 19:53 Laurențiu Nicola <lnic...@dend.ro> wrote: > Hi, > > While I agree with the sentiment, I'm not sure I agree about some of the > details. It assumes that on ZARR ZIPs, you need to make twice as many > reads, for the local file headers and for the data. But the information in > the local header is already available in the central directory, so you can > seek directly to the data. This assumption is then used throughout the > analysis. > > But there are things I don't really like about the format, like the very > flexible data model and physical organization, the implicit assumption that > everything is lat/lon, and the lack of overviews. I'm also a bit skeptical > about the Python ecosystem. My impression is that Zarr just tries (and > manages) to be a better NetCDF. > > Laurentiu > > > On Thu, Feb 27, 2025, at 06:06, Michael Sumner via gdal-dev wrote: > > Just clueing into why you might be working with this, have you seen this > critique? (was a bit shocked to see that this is apparently going forward > for Sentinel 2, let alone that it was even considered!) > > https://github.com/csaybar/ESA-zar-zip-decision > > Also glad to see a working example outlined that I can follow, Thanks! > > Cheers, Mike > > >
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