Update README.md

README.md

@@ -2,6 +2,18 @@
 license: cc-by-4.0
 ---
 
+# 🚨 New Dataset Version Released!  
+
+## We are excited to announce the release of **Version [2.0]** of our dataset!  
+## This update includes:  
+- **[More data]**.
+- **[Harmonization model retrained with more data]**.
+- **[Temporal support]**.
+- **[Check the data without downloading (Cloud-optimized properties)]**.
+
+# 📥 Go to: https://huggingface.co/datasets/tacofoundation/SEN2NAIPv2 and follow the instructions in colab
+
+
 <center>
   <img src="demo/logo.png" width=95%>
 </center>
@@ -116,4 +128,19 @@ plt.show()
 
 # CITATION
 
-TODO!
+
+```
+@article{aybar2025sen2naipv2,
+  author    = {Aybar, Cesar and Montero, David and Contreras, Julio and Donike, Simon and Kalaitzis, Freddie and Gómez-Chova, Luis},
+  title     = {SEN2NAIP: A large-scale dataset for Sentinel-2 Image Super-Resolution},
+  journal   = {Scientific Data},
+  year      = {2024},
+  volume    = {11},
+  number    = {1},
+  pages     = {1389},
+  doi       = {10.1038/s41597-024-04214-y},
+  url       = {https://doi.org/10.1038/s41597-024-04214-y},
+  abstract  = {The increasing demand for high spatial resolution in remote sensing has underscored the need for super-resolution (SR) algorithms that can upscale low-resolution (LR) images to high-resolution (HR) ones. To address this, we present SEN2NAIP, a novel and extensive dataset explicitly developed to support SR model training. SEN2NAIP comprises two main components. The first is a set of 2,851 LR-HR image pairs, each covering 1.46 square kilometers. These pairs are produced using LR images from Sentinel-2 (S2) and corresponding HR images from the National Agriculture Imagery Program (NAIP). Using this cross-sensor dataset, we developed a degradation model capable of converting NAIP images to match the characteristics of S2 imagery ($S_{2-like}$). This led to the creation of a second subset, consisting of 35,314 NAIP images and their corresponding $S_{2-like}$ counterparts, generated using the degradation model. With the SEN2NAIP dataset, we aim to provide a valuable resource that facilitates the exploration of new techniques for enhancing the spatial resolution of Sentinel-2 imagery.},
+  issn      = {2052-4463}
+}
+```