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@LP DAAC - afriesz Thanks for the response and notebook! We access thousands of HLS images at a time, so I am not sure about getting a list like that, but maybe there are other ways we can leverage dask on our end. Looking forward to hearing if you find anything on your end in regards to the speed d...

Hello, I cannot share the full notebook for my workflow, but I have attached a simple example based on the basic stackstac tutorial that shows the difference in speed between accessing S2 L2A through AWS E84 and HLS S30 from LPCLOUD. I am not sure how to attach the notebook here on the forum since t...

Hello, I have a workflow that uses HLS (HLSL30.v2.0, HLSS30.v2.0). I access HLS through 'https://cmr.earthdata.nasa.gov/stac/LPCLOUD' using pystac_client and stackstac. It works, but I have noticed it is slow to process these STACs/COGs into memory (e.g., with compute()) when they need to be accesse...

I ran the same code again today and it was able to successfully find and load that problematic tif into memory. I guess that means this is some sort of server issue?

Hello, I have a set of code that builds an HLS data cube over a given location and time-interval, then runs further processing. As part of that, this data cube needs to be loaded into memory with persist(). The code works well in most scenarios. However, I have found that one particular tif is unabl...