| | --- |
| | license: cc-by-nc-4.0 |
| | pipeline_tag: image-segmentation |
| | tags: |
| | - remote sensing |
| | - sentinel2 |
| | - landsat |
| | - floods |
| | --- |
| | |
| | # *WorldFloodsv2* dataset |
| |
|
| | This repository contains the *WorldFloodsv2* dataset released with the publication: |
| |
|
| | > 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. |
| |
|
| |
|
| | The [*WorldFloodsv2* database](https://www.nature.com/articles/s41598-023-47595-7) contains 509 pairs of Sentinel-2 images and flood segmentation masks. Splitted in train, val and test sets. |
| | It requires approximately 76GB of hard-disk storage. |
| |
|
| |
|
| | <img src="worldfloods_v2.png" alt="licence" width="65%"/> |
| |
|
| | ## Download the dataset |
| |
|
| | ``` |
| | huggingface-cli download --cache-dir /path/to/cachedir --local-dir /path/to/localdir/WorldFloodsv2 --repo-type dataset isp-uv-es/WorldFloodsv2 |
| | ``` |
| |
|
| | ## Explore the dataset |
| |
|
| | The following [ml4floods](https://github.com/spaceml-org/ml4floods) tutorials may help you explore and use this dataset: |
| |
|
| | 1. The [exploring *WorldFloodsv2*](https://spaceml-org.github.io/ml4floods/content/prep/exploring_worldfloods.html) tutorial shows how to |
| | process the dataset and plot the images and masks. |
| | 1. The [*WorldFloodsV2* torch dataset](https://spaceml-org.github.io/ml4floods/content/ml4ops/HOWTO_WF2_load_dataset.html) tutorial shows how to load the dataset with pytorch data loaders. |
| |
|
| | ## Licence |
| |
|
| | 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) |
| |
|
| | ## Cite |
| |
|
| | If you find this work useful, please cite: |
| |
|
| | ``` |
| | @article{portales-julia_global_2023, |
| | title = {Global flood extent segmentation in optical satellite images}, |
| | volume = {13}, |
| | issn = {2045-2322}, |
| | doi = {10.1038/s41598-023-47595-7}, |
| | number = {1}, |
| | urldate = {2023-11-30}, |
| | journal = {Scientific Reports}, |
| | author = {Portalés-Julià, Enrique and Mateo-García, Gonzalo and Purcell, Cormac and Gómez-Chova, Luis}, |
| | month = nov, |
| | year = {2023}, |
| | pages = {20316}, |
| | } |
| | ``` |
| |
|
