add typology

README.md

@@ -22,12 +22,14 @@ The dataset is intended for research and development in remote sensing, Earth ob
 
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-## Dataset Source
+
+## Dataset Details 
+
+### Dataset Source
 The label data originates from the AI4LCC benchmark dataset: [https://doi.theia.data-terra.org/ai4lcc/?lang=en](https://doi.theia.data-terra.org/ai4lcc/?lang=en)
 The Sentinel-2 imagery was retrieved from Planetary Computer for the same spatial locations and time periods (along 2020) corresponding to the labels.
 
 
-## Dataset Details
 ### Supported Tasks
 The dataset can be used for:
 - Land-cover classification
@@ -67,11 +69,13 @@ dataset/ <br>
 -->
 
 ### Dataset Creation
-- Retrieving Sentinel-2 imagery (2020) within ground-truth bounding boxes using the Planetary Computer API and odc-stac 
+- Retrieving Sentinel-2 imagery (2020) within ground-truth bounding boxes using the Planetary Computer API (sentinel-2-l2a) and odc-stac 
 - Generating annual composites using median reduction with Xarray 
-- Simplifying the original 14 land-cover classes into 5 classes 
+- Simplifying the original 14 land-cover classes into 5 classes as in Table 1 ref [Wenger et al., 2022](https://www.germain-forestier.info/publis/isprs2022.pdf)
 - Combining imagery and labels
-
+<p align="center">
+<img src="images/typology_AI4LCC.png" alt="typology" width="400">
+</p>
 
 ### Intended Use
 This dataset is intended for: