sentinel-hub/eo-learn

[HELP] Perform sen2cor atmospheric correction on L1C EOPatch

lqrhy3 opened this issue · 2 comments

lqrhy3 commented

Hi! How can I perform atmospheric correction on L1C data? I need to work with data from 2016, where L2A public collection is unavailable. I see that there is eolearn.io.sentinelhub_process.SentinelHubSen2corTask, but as I understand it only does SCL not atmospheric correction. Is there any ways I can do the correction?

batic commented

As the documentation of the task specifies, it will

Adds SCL (scene classification), CLD (cloud probability) or SNW (snow probability) (or their combination)
Sen2Cor classification results to EOPatch's MASK or DATA feature. The feature is added to MASK (SCL) or
DATA (CLD, SNW) feature types of EOPatch. The feature names are set to be SCL, CLD or SNW.

but do so from the (available) Sentinel-2 L2A data. If the products you are after are not available on Sentinel-Hub, then you'll have to run the Sen2COR processor yourself. In that case probably best to ask for help at https://forum.step.esa.int/c/s2tbx/6

Good luck.

mlubej commented

Closing. @lqrhy3 let us know if further help is needed otherwise.