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+ ---
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+ license: cc-by-nc-4.0
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+ pipeline_tag: image-segmentation
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+ tags:
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+ - remote sensing
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+ - sentinel2
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+ - landsat
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+ - floods
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+ ---
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+
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+ This repository contains the *WorldFloodsv2* dataset released with the publication:
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+
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+ > E. Portalés-Julià, G. Mateo-García, C. Purcell, and L. Gómez-Chova [Global flood extent segmentation in optical satellite images](https://www.nature.com/articles/s41598-023-47595-7). _Scientific Reports 13, 20316_ (2023). DOI: 10.1038/s41598-023-47595-7.
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+
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+
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+ The [*WorldFloods* database](https://www.nature.com/articles/s41598-023-47595-7) contains 509 pairs of Sentinel-2 images and flood segmentation masks.
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+ It requires approximately 300GB of hard-disk storage. The *WorldFloods* database and all pre-trained models are released under a [Creative Commons non-commercial licence](https://creativecommons.org/licenses/by-nc/4.0/legalcode.txt)
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+
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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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+ ```