Update README.md

README.md

@@ -20,13 +20,13 @@ tags:
   <img src="https://raw.githubusercontent.com/JulioContrerasH/DocProbaSpot/refs/heads/main/assets/logo_proba_spot.png" alt="FDR4VGT-CLOUD" width="90%"/>
 </p>
 
-Official model release accompanying the paper:
+Official model release accompanying the manuscript:
 
 > **A multisensor deep learning framework for robust cloud segmentation in SPOT-VGT and Proba-V**
 > Julio Contreras, Cesar Aybar, Luis Gómez-Chova
-> *IEEE Geoscience and Remote Sensing Letters*, 2026.
+> *IEEE Geoscience and Remote Sensing Letters* (submitted), 2026.
 
-This model is the **operational cloud masking algorithm** selected for the **ESA FDR4VGT** archive reprocessing, delivering consistent cloud detection across the full SPOT-VGT (VGT1 1998–2003, VGT2 2002–2014) and Proba-V (2013–2020) record — a single sensor-agnostic model for the three missions.
+This model is the **operational cloud masking algorithm** selected for the **ESA FDR4VGT SPOT-VGT and Proba-V** archives reprocessing, delivering consistent cloud detection across the full SPOT-VGT (VGT1 1998–2003, VGT2 2002–2014) and Proba-V (2013–2020) record —a single sensor-agnostic model for the three missions.
 
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@@ -126,9 +126,9 @@ If you use this model, please cite:
 
 ## 🙏 Acknowledgements
 
-This work was supported by the **European Space Agency (ESA)** within the **FDR4VGT: Fundamental Data Record for VGT** project.
+This work was supported by the **European Space Agency (ESA)** within the **FDR4VGT: Fundamental Data Record for VGT** project, leaded by VITO.
 
-Developed at the Image Processing Laboratory (IPL), University of Valencia.
+Developed at the Image Processing Laboratory (IPL), University of Valencia, Spain.
 
 ## 📜 License