Update README.md

README.md

@@ -11,6 +11,9 @@ The **EuroSAT** dataset consists of satellite imagery for land use and land cove
 The following metadata provides details about the Sentinel-2 imagery used in the dataset:
 
 ```python
+S2_MEAN = [1354.40546513, 1118.24399958, 1042.92983953, 947.62620298, 1199.47283961, 1999.79090914, 2369.22292565, 2296.82608323, 732.08340178, 12.11327804, 1819.01027855, 1118.92391149, 2594.14080798]
+S2_STD = [245.71762908, 333.00778264, 395.09249139, 593.75055589, 566.4170017, 861.18399006, 1086.63139075, 1117.98170791, 404.91978886, 4.77584468, 1002.58768311, 761.30323499, 1231.58581042]
+
 metadata = {
     "s2c": {
         "bands": ["B1", "B2", "B3", "B4", "B5", "B6", "B7", "B8", "B8A", "B9", "B10", "B11", "B12"],
@@ -25,4 +28,24 @@ metadata = {
         "std": None   
     }
 }
+
+SIZE = HEIGHT = WIDTH = 64
+
+NUM_CLASSES = 10
+
+spatial_resolution = 10
+```
+
+If you use the EuroSAT dataset in your work, please cite the original paper:
+```python
+@article{helber2019eurosat,
+  title={Eurosat: A novel dataset and deep learning benchmark for land use and land cover classification},
+  author={Helber, Patrick and Bischke, Benjamin and Dengel, Andreas and Borth, Damian},
+  journal={IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
+  volume={12},
+  number={7},
+  pages={2217--2226},
+  year={2019},
+  publisher={IEEE}
+}
 ```