[HELP] ImportError: cannot import name 'S2L1CWCSInput' from 'eolearn.io'

[Dwat2505]

I am trying to run the following code. However, I am getting an import error. I have read the documentation and I can't a single reference of S2L1WCSInput. Can someone suggest how this code can be written w.r.to the current updates in eo-learn ?

from eolearn.io import S2L1CWCSInput, SentinelHubInputTask, S2L2AWCSInput

input_task = S2L2AWCSInput('BANDS-S2-L1C', resx='10m', resy='10m', maxcc=0.8)
add_l2a = S2L2AWCSInput(layer='BANDS-S2-L2A')
true_color  = S2L1CWCSInput('TRUE-COLOR-S2-L1C')
SENT_SAT_CLASSICATIONS = S2L2AWCSInput("SCENE_CLASSIFICATION")

[batic]

Hi @Dwat2505

Please have a look at examples in the docs, e.g. task for Sentinel-2 L1C data or task for L2A + SCL data.

[Dwat2505]

Hi @Dwat2505

Please have a look at examples in the docs, e.g. task for Sentinel-2 L1C data or task for L2A + SCL data.

The examples don't cover true_color, add_l2a and SENT_SAT_CLASSIFICATIONS. Any suggestions for those ?

[batic]

true_color is either a combination of bands B02, B03, B04 (in reverse order to get RGB image), or an evalscript (e.g. true color, for which you'd use SentinelHubEvalscriptTask, like done in the example here). Anyway, in first task (example for L1C data) you already have the necessary bands to construct a true-color image.

add_l2a is now a SentinelHubInputTask for L2A data, as shown in this example. In the example the tasks also retrieves the scene classification bands' data.

If you want to store these bands in separate features, it should be rather easy to construct them, e.g.:

eopatch.data['RGB'] = eopatch.data['L1C_data'][:,:,:,(3,2,1)]

[Dwat2505]

Alright, Thanks for the example and references.