flood
Datasets
All datasets matching “flood”ai4g-flood-dataset
Flood Detection Dataset
Introduction
This dataset accompanies the paper Mapping global floods with 10 years of satellite radar data (Nature Communications, 2025) and contains global flood detections derived from Sentinel-1 Synthetic Aperture Radar (SAR) imagery using a deep learning change detection model. The dataset spans October 2014 – September 2024, offering a longitudinal view of flood-prone areas worldwide.
Key features:
Cloud-penetrating SAR data for consistent… See the full description on the dataset page: https://huggingface.co/datasets/ai-for-good-lab/ai4g-flood-dataset.ETCI-2021-Flood-Detection
ETCI 2021 Flood Detection Dataset
Description
The ETCI 2021 Flood Detection Dataset is a comprehensive flood detection segmentation dataset that focuses on SAR (Synthetic Aperture Radar) images taken by the ESA Sentinel-1 satellite. This dataset provides pairs of VV (Vertical Transmit, Vertical Receive) and VH (Vertical Transmit, Horizontal Receive) polarization images, which have been processed by the Hybrid Pluggable Processing Pipeline (hyp3). Additionally… See the full description on the dataset page: https://huggingface.co/datasets/blanchon/ETCI-2021-Flood-Detection.geoid-flood
GEOID-Flood
A large-scale multi-modal benchmark for flood segmentation, built from 219 Copernicus
EMS Rapid Mapping flood activations across 65 countries (2016-2026).
165,329 rasters / 584 GB across 319 shards. 14,282 tiles: 8,938 train / 1,241 val / 2,674 test, plus 1,429 held-out tiles from activations EMSR857-871 for out-of-distribution evaluation.
Each 1024x1024 tile at 10 m resolution provides co-registered Sentinel-1 GRD and RTC
(pre- and post-event, VV/VH), a pre-event… See the full description on the dataset page: https://huggingface.co/datasets/links-ads/geoid-flood.flood-mappingfloodnetRehosted from Google drive from Paper Repo.
If you use this dataset, please cite:
https://arxiv.org/abs/2012.02951
FloodSimBench
FloodSimBench: A High-Resolution Physical Flood Inundation Benchmark for AI
FloodSimBench is a standardized, high-resolution (1m) benchmark dataset designed for urban flood inundation modeling. It bridges the gap between complex physical hydraulic modeling and deep learning foundation models (e.g., Transformers, CNNs).
1. Overview
Objective: Provide a high-fidelity dataset for training and evaluating AI surrogate models for flood risk assessment and real-time… See the full description on the dataset page: https://huggingface.co/datasets/chrimerss/FloodSimBench.