S1FloodFinder

Floods are among the most devastating natural hazards, causing significant losses and widespread destruction annually. Effective emergency response and minimizing damage are highly dependent on timely forecasts, alert systems, and accurate floodwater extent measurements.

Traditional field surveys can be costly and impractical for obtaining comprehensive flood data. While remote sensing offers a powerful alternative, conventional water detection techniques that rely on optical satellite imagery often face severe limitations during flood events due to persistent cloud cover. This renders optical sensors ineffective in critical situations.

S1FloodFinder is introduced as a user-friendly solution to overcome these challenges. It leverages radar technology, specifically Synthetic Aperture Radar (SAR) from Sentinel-1 satellites, which can penetrate clouds and capture vital data regardless of weather conditions. This Machine Learning package provides specialized tools for water mapping using SAR imagery, offering a robust method for flood detection when optical data is unavailable.