Flood forecasting refers to the process of predicting when, where, and how severe a flood might occur. This involves using data from various sources, such as weather forecasts, water levels of the river, and soil moisture, to anticipate flood events and provide early warnings. The goal is to help communities prepare and reduce the impact of floods on lives and property.

Reliable flood forecasts depend on having accurate data and models available early enough to issue timely warnings, typically hours to days before a flood occurs. The time varies depending on the size, shape, and characteristics of the basin – small basins can respond within hours, while larger ones may take days.

Yes, satellites play a crucial role in monitoring key factors like precipitation, soil moisture, and water levels or river discharge. While they may not always provide real-time data, many satellites now offer frequent updates that are near real-time, enabling them to contribute to flood forecasting models. Advances in satellite technology and data processing have significantly improved the speed and accuracy of the information provided.

EO4FLOOD aims to scientifically demonstrate the potential of satellite data in advancing flood forecasting capabilities. By integrating satellite observations with hydrological/hydraulic models, EO4FLOOD enhances our ability to monitor rivers, predict floods, and assess their potential impact. This project bridges the gap between cutting-edge satellite technology and practical applications, supporting more reliable and timely flood forecasts to protect lives and livelihoods.