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Eo-learn + batch processing tutorial

  • April 26, 2024
  • 2 replies
  • 124 views

Hello there,

I’m new to sentinelhub, I’m developing a python application using eo-learn library. However, since I need big geographic areas, I’d like to use batch processing api.

I’ve already followed this tutorial:

360db83263e79cba7951e7ba15aa4495131aa0f1.pngMedium – 1 Apr 21
3ced305d1c47449ebe5bb9ce6a124148b953a21a.jpg

Scale-up your eo-learn workflow using Batch Processing API

How to generate harmonized ML features over huge areas and not become broke.

Reading time: 7 min read

however the jupyter notebook walkthrough is not available anymore.

Do you know where I can find additional material? Thanks

(I’ve already set up S3 buckets and I’m paying access to Sentinel Hub Batch Processing)

2 replies

Hi,

Please find the notebook here

The examples repo is being updated, so if you notice something not working, please let us know (create issue in the eo-learn-examples repo).

Regards,
 


The linked notebook is especially outdated when it comes to Batch Processing, which has since been made easier. For that you can take a look at the sentinelhub-py example.