Creating an Impactful and Cost-Effective Flood Prediction Platform

Creating an effective data platform for flood forecasting requires careful planning, selection of the right technologies, data sources, and a scalable infrastructure that can be easily adapted. Our Flood-Watch project aims to advance flood monitoring and prediction capabilities, improve community awareness, and contribute to the development of sustainable flood management strategies in the face of climate change. By combining historical data, real-time observations, and weather forecasts, this flood prediction platform can provide communities with timely information to evacuate or take preventive measures. This paper will showcase the current pipeline used to collect weather data through the LoRa protocol, which will be utilized in other critical operations within FloodWatch, such as flood risk forecasting and visualization.