Global Flood Forecasting (GFF)
<h3>Dataset from paper: <strong><em>Off to new Shores: A Dataset & Benchmark for (near-)coastal Flood Inundation Forecasting</em></strong></h3> <p>Consists of target flood maps and various inputs used to predict said flood maps. Each input modality is contained in a separate zip file. Each zip file contains a collection of raster data, one file per ROI.</p> <p><em><strong>Files:</strong></em></p> <ul> <li><strong>base.zip</strong> - Contains flood maps and meta-data (e.g. geolocations). Includes <a href="https://github.com/Orion-AI-Lab/KuroSiwo" target="_blank" rel="noopener">Kuro Siwo labels</a>.</li> <li><strong>s1.zip</strong> - Contains Copernicus Sentinel-1 data from 2014-2020 obtained through Alaska Foundation, using an EarthData account.</li> <li><strong>era5.zip</strong> - Contains ERA5 and ERA5-Land data products obtained from Google Earth Engine (GEE), which was originally generated using Copernicus Climate Change Service information 2014-2020.<em><br></em></li> <li><strong>glofas.zip</strong> - Contains <a href="https://cds.climate.copernicus.eu/cdsapp#!/dataset/cems-glofas-historical" target="_blank" rel="noopener">GLOFAS v4.0 data</a> from Copernicus Climate Change Service's Climate Data Store (CDS).</li> <li><strong>hydroatlas.zip</strong> - Contains <a href="https://www.hydrosheds.org/hydroatlas" target="_blank" rel="noopener">HydroATLAS v10 data</a>. Rasterized and resampled to match ERA5-Land.</li> <li><strong>hand.zip</strong> - Contains <a href="https://gis.asf.alaska.edu/arcgis/rest/services/GlobalHAND/GLO30_HAND/ImageServer" target="_blank" rel="noopener">HAND data</a> (CC0 license). Resampled to match Sentinel-1.</li> <li><strong>dem.zip</strong> - Contains <a href="https://spacedata.copernicus.eu/collections/copernicus-digital-elevation-model" target="_blank" rel="noopener">CopDEM GLO-30 data</a>. Resampled to match Sentinel-1 and ERA5-Land.</li> <li><strong>extras.zip</strong> - Contains 4 folders of extra data: <ul> <li><em>vit-snunet-extra</em> - Flood maps, meta-data and S1 of ROIs that fell outside era5 availability.</li> <li><em>vit-snunet-raw</em> - Raw floodmaps generated by Kuro Siwo model (after removing tiling effects, before other post-processing)</li> <li><em>vit</em> - Alternate flood maps; generated using FloodViT model only</li> <li><em>snunet</em> - Alternate flood maps; generated using SNUNet model only</li> </ul> </li> <li><strong>worldcover.zip</strong> - Contains <a href="https://worldcover2021.esa.int/download" target="_blank" rel="noopener">worldcover data</a> (CC-BY license) resampled (nearest) to Sentinel-1. Only used at evaluation time. </li> </ul> <p><em><strong>Instructions</strong></em>: </p> <ol> <li>Download whichever inputs you want to use.</li> <li>Extract all in the same folder.</li> <li>Point <a href="https://github.com/Multihuntr/gff" target="_blank" rel="noopener">the code</a> to that folder.</li> </ol> <p><em><strong>Licenses</strong></em>: The redistributed data products (s1, era5, hydroatlas, hand, dem and worldcover) retain their original licenses. They are, however, very permissive. Only HydroATLAS is not necessarily available for commercial use.</p>
ShareScore
36/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 20
- Reuse readiness
- 8
- Engagement
- 0