Update README.md

README.md

@@ -12,7 +12,7 @@ This repository contains the trained models of the publications:
 
 > Mateo-García, G., Aybar, C., Acciarini, G., Růžička, V., Meoni, G., Longépé, N., & Gómez-Chova, L. (2023). **Onboard Cloud Detection and Atmospheric Correction with Deep Learning Emulators**. IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, 1875–1878. [DOI: 10.1109/IGARSS52108.2023.10282605](https://doi.org/10.1109/IGARSS52108.2023.10282605)
 
-> Aybar, C., et al (2024), **CloudSEN12+: The largest dataset of expert-labeled pixels for cloud and cloud shadow detection in Sentinel-2** (Submitted)
+> > Aybar, C., Bautista, L., Montero, D., Contreras, J., Ayala, D., Prudencio, F., Loja, J., Ysuhuaylas, L., Herrera, F., Gonzales, K., Valladares, J., Flores, L. A., Mamani, E., Quiñonez, M., Fajardo, R., Espinoza, W., Limas, A., Yali, R., Alcántara, A., Leyva, M., Loayza-Muro, M., Willems, M., Mateo-García, G. & Gómez-Chova, L. (2024). **CloudSEN12+: The largest dataset of expert-labeled pixels for cloud and cloud shadow detection in Sentinel-2**. Data in Brief, 110852. https://doi.org/10.1016/j.dib.2024.110852
 
 
 We include the trained models:
@@ -20,6 +20,8 @@ We include the trained models:
 * **cloudsen12l2a**  Model trained on the 12 bands of Sentinel-2 L2A in the CloudSEN12 dataset
 * **dtacs4bands** Model trained on the NIR, RED, GREEN and BLUE bands of Sentinel-2 L1C in the CloudSEN12 dataset
 * **landsat30** Model trained on the common bands of Sentinel-2 L1C and Landsat 8 and 9 in the CloudSEN12 dataset
+* **UNetMobV2_V1** Model trained on the 13 bands of Sentinel-2 L1C in the CloudSEN12 dataset included in CloudSEN12+
+* **UNetMobV2_V2** Model trained on the 13 bands of Sentinel-2 L1C in the CloudSEN12+
 
 In order to run any of these models in a Sentinel-2 scene see the tutorial [*Run CloudSEN12 model*](https://github.com/IPL-UV/cloudsen12_models/blob/main/notebooks/run_in_gee_image.ipynb) in the [cloudsen12_models](https://github.com/IPL-UV/cloudsen12_models) package.
 
@@ -28,6 +30,18 @@ In order to run any of these models in a Sentinel-2 scene see the tutorial [*Run
 If you find this work useful please cite:
 
 ```
+@article{aybar_cloudsen12_2024,
+	title = {{CloudSEN12}+: {The} largest dataset of expert-labeled pixels for cloud and cloud shadow detection in {Sentinel}-2},
+	issn = {2352-3409},
+	url = {https://www.sciencedirect.com/science/article/pii/S2352340924008163},
+	doi = {10.1016/j.dib.2024.110852},
+	journal = {Data in Brief},
+	author = {Aybar, Cesar and Bautista, Lesly and Montero, David and Contreras, Julio and Ayala, Daryl and Prudencio, Fernando and Loja, Jhomira and Ysuhuaylas, Luis and Herrera, Fernando and Gonzales, Karen and Valladares, Jeanett and Flores, Lucy A. and Mamani, Evelin and Quiñonez, Maria and Fajardo, Rai and Espinoza, Wendy and Limas, Antonio and Yali, Roy and Alcántara, Alejandro and Leyva, Martin and Loayza-Muro, Rau´l and Willems, Bram and Mateo-García, Gonzalo and Gómez-Chova, Luis},
+	month = aug,
+	year = {2024},
+	pages = {110852},
+}
+
 @article{aybar_cloudsen12_2022,
 	title = {{CloudSEN12}, a global dataset for semantic understanding of cloud and cloud shadow in {Sentinel}-2},
 	volume = {9},