Update README.md

README.md

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 The **BigEarthNet** dataset is a large-scale benchmark Archive for remoting sensing. The dataset contains both Sentinel-2 and Sentinel-1 imagery. 
 
-We have pre-processed the dataset by upsampling all sentinel-2 channels to 120x120 pixels and concatenated them together. Please see [Torchgeo/bigearthnet](https://github.com/microsoft/torchgeo/blob/main/torchgeo/datasets/bigearthnet.py#L385) for more information about pre-processing
+We have pre-processed the dataset by upsampling all sentinel-2 channels to 120x120 pixels and concatenated them together. Please see [Torchgeo/bigearthnet](https://github.com/microsoft/torchgeo/blob/main/torchgeo/datasets/bigearthnet.py#L385) for more information about pre-processing.
 
 Please see our [GFM-Bench](https://github.com/uiuctml/GFM-Bench) for more information about how to use the dataset! 🙂
 
 ## Metadata
 
-The following metadata provides details about the Sentinel-2 imagery used in the dataset:
+The following metadata provides details about the Sentinel-2 and Sentinel-1 imagery used in the dataset:
 
 ```python
 S2_MEAN = [752.40087073, 884.29673756, 1144.16202635, 1297.47289228, 1624.90992062, 2194.6423161, 2422.21248945, 2517.76053101, 2581.64687018, 2645.51888987, 2368.51236873, 1805.06846033]