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Published June 3, 2024 | Version 1.0.0
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Global Flood Forecasting (GFF)

  • 1. ROR icon La Trobe University
  • 2. ROR icon European Space Research Institute

Description

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.
  • 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 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.

Files

base.zip

Files (34.2 GB)

Name Size Download all
md5:b0fb4857ea85e52041cf934b6cbd3062
117.9 MB Preview Download
md5:728bd1f346561486cbd51d56530bc794
4.7 MB Preview Download
md5:c49f694152a1678e5790d65868900fbd
2.5 GB Preview Download
md5:eabd896782aa52e83cc4a461850afcab
7.2 GB Preview Download
md5:a5b2607a634405b30b0df9951b65e36a
4.7 GB Preview Download
md5:d117a54be66502957da5f6db04263075
2.8 GB Preview Download
md5:4b8d781de92e0d2e225121d82fc4e0df
708.0 MB Preview Download
md5:ef60363f47c5b89befd3dc349a0c7a53
15.7 GB Preview Download
md5:c111c74b7fc67a6fd4c4e0b8249d8ad1
425.9 MB Preview Download

Additional details

Software

Repository URL
https://github.com/Multihuntr/gff
Programming language
Python
Development Status
Active