Add comment about Satlas S2 RGB using TCI product

torchgeo/models/swin.py

@@ -17,13 +17,15 @@
 __all__ = ["Swin_V2_B_Weights"]
 
 # https://github.com/allenai/satlas/blob/bcaa968da5395f675d067613e02613a344e81415/satlas/cmd/model/train.py#L42 # noqa: E501
-# Satlas uses the TCI product for Sentinel-2 RGB, which is in the range (0, 255).
+# Satlas uses the TCI product for Sentinel-2 RGB, which is in the range (0, 255). 
+# See details:  https://github.com/allenai/satlas/blob/main/Normalization.md#sentinel-2-images.  # noqa: E501
 # Satlas Sentinel-1 and RGB Sentinel-2 and NAIP imagery is uint8 and is normalized to (0, 1) by dividing by 255. # noqa: E501
 _satlas_transforms = AugmentationSequential(
     K.Normalize(mean=torch.tensor(0), std=torch.tensor(255)), data_keys=["image"]
 )
 
 # Satlas uses the TCI product for Sentinel-2 RGB, which is in the range (0, 255).
+# See details:  https://github.com/allenai/satlas/blob/main/Normalization.md#sentinel-2-images.  # noqa: E501
 # Satlas Sentinel-2 multispectral imagery has first 3 bands divided by 255 and the following 6 bands by 8160, both clipped to (0, 1). # noqa: E501
 _std = torch.tensor(
     [255.0, 255.0, 255.0, 8160.0, 8160.0, 8160.0, 8160.0, 8160.0, 8160.0]