Update README.md

README.md

@@ -3,7 +3,7 @@ license: cc-by-4.0
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 This dataset deals with the mapping of forest species using multi-modal Earth Observation data.<br>
-It is an extension of the <b>existing dataset TreeSatAI by Ahlswede et al.</b> 
+It is an <b>extension of the existing dataset TreeSatAI by Ahlswede et al.</b><br> 
 While the original dataset only provides access to one Sentinel-1 & -2 image for each patch, this new dataset gathers all the available Sentinel-1 & -2 data spanning the same year for each patch.
 
 Ahlswede et al. (https://essd.copernicus.org/articles/15/681/2023/) introduced the TreeSatAI Benchmark Archive, a new dataset for tree species classification in Central Europe based on multi-sensor data from aerial, 
@@ -13,15 +13,15 @@ Finally, they provide various benchmark experiments showcasing the information w
 
 The Sentinel Time Series are provided for each patch in HDF format (.h5) with several datasets : 
 
-- `sen-1-asc-data` : Sentinel-1 ascending orbit backscattering coefficient data (Tx2x6x6)
-- `sen-1-asc-products` : Sentinel-1 ascending orbit product names (T)
+- **`sen-1-asc-data`** : Sentinel-1 ascending orbit backscattering coefficient data (Tx2x6x6) | Channels: "VV", "VH"
+- **`sen-1-asc-products`** : Sentinel-1 ascending orbit product names (T)
   
-- `sen-1-des-data` : Sentinel-1 descending orbit backscattering coefficient data (Tx2x6x6)
-- `sen-1-des-data` : Sentinel-1 ascending orbit product names (T)
+- **`sen-1-des-data`** : Sentinel-1 descending orbit backscattering coefficient data (Tx2x6x6) | Channels: "VV", "VH"
+- **`sen-1-des-data`** : Sentinel-1 ascending orbit product names (T)
   
-- `sen-2-data` : Sentinel-2 Level-2 BOA reflectances (Tx10x6x6)
-- `sen-2-masks` : Sentinel-2 cloud cover masks (Tx2x6x6)
-- `sen-2-products` : Sentinel-2 product names (T)
+- **`sen-2-data`** : Sentinel-2 Level-2 BOA reflectances (Tx10x6x6) | Channels: "B02", "B03", "B04", "B05", "B06", "B07", "B08", "B8A", "B11", "B12"
+- **`sen-2-masks`** : Sentinel-2 cloud cover masks (Tx2x6x6) | Channels: "snow probability", "cloud probability"
+- **`sen-2-products`** : Sentinel-2 product names (T)
 
 
 To access the data in python you can use :