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- ---
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- license: cc-by-nc-4.0
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: cc-by-nc-4.0
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+ ---
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+
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+ This repository contains the trained models of the publications:
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+ Portalés-Julià, Enrique and Mateo-García, Gonzalo and Gómez-Chova, Luis, **Understanding Flood Detection Models Across Sentinel-1 and Sentinel-2 Modalities and Benchmark Datasets.** Available at SSRN: https://ssrn.com/abstract=5118486 or http://dx.doi.org/10.2139/ssrn.5118486
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+ We include the trained models:
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+ * **sm_unet_s2** Model trained on the Sentinel-2 L1C bands `["B08", "B04", "B03", "B02"]` from the S1S2Water and WorldFloods datasets.
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+ * **sm_unet_s1** Model trained on the Sentinel-1 GRD data (`[VV, VH]` channels) from the S1S2Water and Kuro Siwo datasets.
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+ * **mm_unet_s1s2** Dual stream with modality token model, trained on the S1S2Water (Sentinel-1 GRD and Sentinel-2 L1C data), WorldFloods (Sentinel-2 L1C) and Kuro Siwo Sentinel-1 GRD data.
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+ In order to run any of these models in Sentinel-1 and/or Sentinel-2 data see the tutorial [*Run model*](https://github.com/kipoju/udl4fl/blob/main/notebooks/run_in_gee_image.ipynb) in the [udl4fl](https://github.com/kipoju/ufl4fl) package.
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+ <!-- <img src="https://raw.githubusercontent.com/IPL-UV/cloudsen12_models/main/notebooks/example_flood_dubai_2024.png"> -->
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+ If you find this work useful please cite:
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+ ```
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+ @article{portales-julia_global_2023,
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+ title = {Global flood extent segmentation in optical satellite images},
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+ volume = {13},
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+ issn = {2045-2322},
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+ doi = {10.1038/s41598-023-47595-7},
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+ number = {1},
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+ urldate = {2023-11-30},
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+ journal = {Scientific Reports},
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+ author = {Portalés-Julià, Enrique and Mateo-García, Gonzalo and Purcell, Cormac and Gómez-Chova, Luis},
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+ month = nov,
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+ year = {2023},
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+ pages = {20316},
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+ }
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+ ```
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+
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+ ## Licence
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+ <img src="https://mirrors.creativecommons.org/presskit/buttons/88x31/png/by-nc.png" alt="licence" width="60"/>
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+ All pre-trained models in this repository are released under a [Creative Commons non-commercial licence](https://creativecommons.org/licenses/by-nc/4.0/legalcode.txt)
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+ The `udl4fl` python package is published under a [GNU Lesser GPL v3 licence](https://www.gnu.org/licenses/lgpl-3.0.en.html)
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+
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+ ## Acknowledgments
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+ This research has been supported by the DEEPCLOUD project (PID2019-109026RB-I00, University of Valencia) funded by the Spanish Ministry of Science and Innovation (MCIN/AEI/10.13039/501100011033) and the European Union (NextGenerationEU).
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+ > <img src="https://www.uv.es/chovago/logos/logoMICIN.jpg" alt="DEEPCLOUD project (PID2019-109026RB-I00, University of Valencia) funded by MCIN/AEI/10.13039/501100011033." title="DEEPCLOUD project (PID2019-109026RB-I00, University of Valencia) funded by MCIN/AEI/10.13039/501100011033." width="300"/>