3 papers
cs.CV2026
Flood Mapping from RGB imagery using a Vision Foundation Model
Vladyslav Polushko, Tilman Bucher, Ronald Rösch +3
Timely, high-resolution maps of flood extent around settlements are essential for emergency response and damage assessment. We consider airborne RGB imagery for flood mapping as it…
cs.CV2025
Remote Sensing Imagery for Flood Detection: Exploration of Augmentation Strategies
Vladyslav Polushko, Damjan Hatic, Ronald Rösch +3
Floods cause serious problems around the world. Responding quickly and effectively requires accurate and timely information about the affected areas. The effective use of Remote Se…
cs.CV2024
BlessemFlood21: Advancing Flood Analysis with a High-Resolution Georeferenced Dataset for Humanitarian Aid Support
Vladyslav Polushko, Alexander Jenal, Jens Bongartz +6
Floods are an increasingly common global threat, causing emergencies and severe damage to infrastructure. During crises, organisations such as the World Food Programme use remotely…