Update README.md

README.md

@@ -26,9 +26,6 @@ The image are resampled to a 1m resolution and converted to 8 bits.
 This enhancement significantly improves the dataset's spatial content, providing more granular information for agricultural parcel segmentation.
 PASTIS-HD can be used to evaluate multi-modal fusion methods (with optical time series, radar time series and VHR images) for parcel-based classification, semantic segmentation, and panoptic segmentation.  
 
-The SPOT images are opendata thanks to the Dataterra Dinamis initiative in the case of the ["Couverture France DINAMIS"](https://dinamis.data-terra.org/opendata/) program.
-
-
 - **Dataset in numbers**
 
 🛰️ Sentinel 2                                    | 🛰️ Sentinel 1                                          | 🛰️ **SPOT 6-7 VHR**    | 🗻 Annotations
@@ -41,6 +38,19 @@ The SPOT images are opendata thanks to the Dataterra Dinamis initiative in the c
 
 ![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/6582b7dd75754a803e484487/sxmnCAGs0p2u_PALLsqyN.jpeg)
 
+
+## Credits
+
+- The Sentinel imagery used in PASTIS was retrieved from [THEIA](www.theia.land.fr): 
+"Value-added data processed by the CNES for the Theia www.theia.land.fr data cluster using Copernicus data.
+The treatments use algorithms developed by Theia’s Scientific Expertise Centres. "
+
+- The annotations used in PASTIS stem from the French [land parcel identification system](https://www.data.gouv.fr/en/datasets/registre-parcellaire-graphique-rpg-contours-des-parcelles-et-ilots-culturaux-et-leur-groupe-de-cultures-majoritaire/) produced
+ by IGN.
+
+- The SPOT images are opendata thanks to the Dataterra Dinamis initiative in the case of the ["Couverture France DINAMIS"](https://dinamis.data-terra.org/opendata/) program.
+
+
 ## References
 If you use PASTIS please cite the [related paper](https://arxiv.org/abs/2107.07933):
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