Update README.md

README.md

@@ -35,14 +35,15 @@ Project page: https://xavibou.github.io/CDviaWTS/
 
 ## Key Features
 
-- Images acquired, processed, and formatted following the FLAIR dataset [1] procedure
+- Images processed and formatted following the FLAIR dataset [1] procedure from BD ORTHO imagery [2]
 - Expert-annotated pairs verified by independent assessors
 - Focuses exclusively on building construction (no building destruction cases included)
 - Compatible with models trained on FLAIR [1] or b-FLAIR datasets
 
 ## References
 
-[1] Garioud et al. (2023). FLAIR: a country-scale land cover semantic segmentation dataset from multi-source optical imagery. In NeurIPS
+[1] Garioud et al. (2023). FLAIR: a country-scale land cover semantic segmentation dataset from multi-source optical imagery. In NeurIPS  
+[2] IGN - Institut national de l’information géographique et forestière. (2025). [BD ORTHO®: L’image géographique du territoire national, la France vue du ciel.](https://geoservices.ign.fr/bdortho)
 
 ## Citation