STURM

The STURM project aims to advance urban flood resilience research by combining open-source Sentinel imagery from remote sensing and crowdsourced semantic and visual data through deep learning techniques. The primary objective is to overcome the constraints of spatial resolution and data scarcity, enriching our understanding of urban flood dynamics. This project aspires to leverage the capabilities of emerging observation systems, providing a globally consistent, open-source framework for comprehensive multi-source observations of hydroclimatic hazardous events in urban areas. By doing so, STURM aims to foster enhanced flood resilience strategies and address the hydrological challenges of the 2030s and beyond... STURM employs an innovative methodology that harnesses the power of deep learning and data fusion to achieve accurate urban flood extent and depth mapping. By leveraging open RS Sentinel imagery and integrating crowdsourced semantic and visual data, this approach overcomes the..

Primary location: Luxembourg