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@@ -14,6 +14,24 @@ We include the trained models:
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  In order to run any of these models in Landsat or Sentinel-2 scene see the tutorial [*Inference with clouds aware floods segmentation model*](https://spaceml-org.github.io/ml4floods/content/ml4ops/HOWTO_Run_Inference_multioutput_binary.html) in the ml4floods docs.
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  ---
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  license: cc-by-nc-4.0
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  ---
 
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  In order to run any of these models in Landsat or Sentinel-2 scene see the tutorial [*Inference with clouds aware floods segmentation model*](https://spaceml-org.github.io/ml4floods/content/ml4ops/HOWTO_Run_Inference_multioutput_binary.html) in the ml4floods docs.
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+ If you find this work useful please cite:
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+
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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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  ---
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  license: cc-by-nc-4.0
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  ---