Datasets › GFF
GFF (Global Flood Forecasting)
Floods are among the most common and devastating natural hazards, imposing immense costs on our society and economy due to their disastrous consequences. Recent progress in weather prediction and spaceborne flood mapping demonstrated the feasibility of anticipating extreme events and reliably detecting their catas- trophic effects afterwards. However, these efforts are rarely linked to one another and there is a critical lack of datasets and benchmarks to enable the direct forecast- ing of flood extent. To resolve this issue, we curate a novel dataset enabling a timely prediction of flood extent. Furthermore, we provide a representative evaluation of state-of-the-art methods, structured into two benchmark tracks for forecasting flood inundation maps i) in general and ii) focused on coastal regions. Altogether, our dataset and benchmark provide a comprehensive platform for evaluating flood forecasts, enabling future solutions for this critical challenge. Data, code & models are shared at https://github.com/Multihuntr/GFF under a CC0 license.
Benchmarks archive 2025-07-28
All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.
| First row (archive order) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Flood extent forecasting | Global Flood forecasting | U-TAE F1 score 0.77 | Panoptic Segmentation of Satellite Image Time Series... | VSainteuf/utae-paps | 5 | Compare |
Papers archive 2025-07-28
4 shown of 4 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 6. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
| Date | Samples run Syntology | |||
|---|---|---|---|---|
| MaxViT-UNet: Multi-Axis Attention for Medical Image Segmentation | 2 | 1 | 15 May 2023 | not harvested |
| Next Day Wildfire Spread: A Machine Learning Data Set to Predict Wildfire Spreading from Remote-Sensing Data | 1 | 1 | 4 Dec 2021 | ran 0 of 15 samples (15 unverified) |
| Panoptic Segmentation of Satellite Image Time Series with Convolutional Temporal Attention Networks | 1 | 1 | 16 Jul 2021 | ran 10 of 11 samples (1 unverified) |
| Semantic segmentation of crop type in Africa: A novel dataset and analysis of deep learning methods | 1 | 2 | 1 Jun 2019 | not harvested |
Dataset loaders archive 2025-07-28
1 loader as listed in the archive; links are outbound and not re-checked here.
Tasks archive 2025-07-28
License archive 2025-07-28
CC0
Modalities archive 2025-07-28
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- GFF
- Global Flood forecasting
2 variant names, as the archive lists them.
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