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Global Flood Forecasting (GFF)

Dataset from paper: Off to new Shores: A Dataset & Benchmark for (near-)coastal Flood Inundation Forecasting 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

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CreatorVictor, Brandon
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Published2024-11-19
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DOI10.5281/zenodo.14184289
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Downloads4,674
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Licensecc-zero
File Size32.7 GB
Data TypeDataset
Published2024
Licensecc-zero
Total Views1,633
Total Downloads4,674

Dataset from paper: Off to new Shores: A Dataset & Benchmark for (near-)coastal Flood Inundation Forecasting

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.

Files:

  • base.zip – Contains flood maps and meta-data (e.g. geolocations). Includes Kuro Siwo labels.
  • s1.zip – Contains Copernicus Sentinel-1 data from 2014-2020 obtained through Alaska Foundation, using an EarthData account.
  • era5.zip – 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.
  • glofas.zip – Contains GLOFAS v4.0 data from Copernicus Climate Change Service’s Climate Data Store (CDS).
  • hydroatlas.zip – Contains HydroATLAS v10 data. Rasterized and resampled to match ERA5-Land.
  • hand.zip – Contains HAND data (CC0 license). Resampled to match Sentinel-1.
  • dem.zip – Contains CopDEM GLO-30 data. Resampled to match Sentinel-1 and ERA5-Land.
  • extras.zip – Contains 4 folders of extra data:
    • vit-snunet-extra – Flood maps, meta-data and S1 of ROIs that fell outside era5 availability.
    • vit-snunet-raw – Raw floodmaps generated by Kuro Siwo model (after removing tiling effects, before other post-processing)
    • vit – Alternate flood maps; generated using FloodViT model only
    • snunet – Alternate flood maps; generated using SNUNet model only
  • worldcover.zip – Contains worldcover data (CC-BY license) resampled (nearest) to Sentinel-1. Only used at evaluation time. 

Instructions: 

  1. Download whichever inputs you want to use.
  2. Extract all in the same folder.
  3. Point the code to that folder.

Licenses: The redistributed data prod

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Global Flood Forecasting (GFF) (Full Dataset)32.7 GB
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ReadmeVia DOI record
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Files are hosted on the source repository. Click download to access the full dataset.

Victor, Brandon (2024). Global Flood Forecasting (GFF). https://doi.org/10.5281/zenodo.14184289