Hi All,
I’m trying to retrieve orthorectified and radiometrically terrain corrected Sentinel-1 data using the eo-learn package. I’m referring to the processing options here. My understanding is that the default backCoeff would be GAMMA0_ELLIPSOID, so here is what I use in eo-learn for my input task:

input_task = SentinelHubInputTask(
    data_collection = DataCollection.SENTINEL1_IW,
    bands= ['VV', 'VH],
    bands_feature = (FeatureType.DATA, 'GRD_Data'),
    resolution = 10,
    time_difference = datetime.timedelta(hours=1),
    config = config(),
    max_threads = 1,
    aux_request_args = {
        "backCoeff":"gamma0_terrain",
        "orthorectify":True
    }
    )

I successfully retrieve the data, but I’m not sure if it’s indeed radiometrically terrain corrected as if I don’t pass the aux_request_args the results are exactly the same. If I change the backCoeff to gamma0_ellipsoid and set orthorectify to False, I still get the same results.

Any guidance on how to ensure I get the right processing options passed to the API would be appreciated.

Thanks.