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Hi,


I have run one of the eolearn examples (https://github.com/sentinel-hub/eo-learn/blob/develop/examples/land-cover-map/SI_LULC_pipeline.ipynb). After some tinkering it runs without any problems. But I have some questions. One relates to the patch ID numbers. In the jupyter-notebook example the ID is set to 1549 or 190. Can you explain how these values are selected?


  • For the future examples, we will be using a specific set of patches,

  • but you are free to change the patch ID numbers in the scope of this example

  • Select a central patch

    ID = 1549 if use_smaller_patches else 190

Hi,

Thanks for your feedback. Would you mind telling what was the necessary tinkering that you had before?
Regarding your questions:

One relates to the patch ID numbers. In the jupyter-notebook example the ID is set to 1549 or 190. Can you explain how these values are selected?

There is no particular reason for this. The main point in choosing the patch was that the selected area should contain enough diversity from the class representation point-of-view. That’s all 🙂


Hi

Thank you for your reply. Clear.

The tinkering was related to setting up the environment to actually run the eolearn scripts. It takes some time to set everything up under windows. At least it took me some time. There are some pointers in the tutorials and documentation, but I think a tutorial on setting up the environment to run the eolearn script would be useful.


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