Update README.md

README.md

@@ -14,6 +14,23 @@ Sentinel-1 and Sentinel-2 1. The dataset contains labels of 20 European tree spe
 The authors propose models and guidelines for the application of the latest machine learning techniques for the task of tree species classification with multi-label data. 
 Finally, they provide various benchmark experiments showcasing the information which can be derived from the different sensors including artificial neural networks and tree-based machine learning methods.
 
+The dataset covers 50 381 patches of 60mx60m located through Germany. <br>
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+The following folders are available :<br>
+📁 **aerial** (from the original dataset): aerial acquisitions at 0.2m spatial resolution with RGB and Infrared bands.<br>
+📁 **sentinel** (from the original dataset): the single acquisition of Sentinel-1 & -2 covering the patch extent (60m) or a wider area (200m)<br>
+📁 **sentinel-ts**: the yearly time series of Sentinel-1 & -2.<br>
+📁 **geojson** (from the original dataset): vector file providing geographical location of the patches.<br>
+📁 **split** (from the original dataset): train, val and tests patches split.<br>
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 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) | Channels: VV, VH