Use of artificial intelligence for spatial flood risk monitoring (KIHoRiMo).

As part of the "Digital Transformation at the BMLRT", the planned project KIHoRiMo is to develop a digital flood risk monitoring system (HRMS) for the whole of Austria. In doing so, the potentials of modern geodata and innovative AI technologies will first be analyzed and then integrated into the HRMS, if necessary. In the project, the HyWa Institute will be responsible for coordinating the areas of flood monitoring, flooding and event scenarios, as well as predisposition analysis and current risk situation. The work will be coordinated and jointly developed with other project partners (ZAMG-meteorology/forecast; TU Vienna-soil moisture/floodplains; BOKU-land use/cover) and the activities in the "Earth-Observation-Data-Center (EODC)". The overall objective is to support the governmental crisis and disaster management (SKKM) in the broadest possible form with detailed information for efficient action within the risk cycle. The aim is to derive statements for the whole of Austria at any given time regarding the risk posed by a flood at a given point in time. In the project area "Flood Monitoring", coordinated by HyWa, the focus is on the presentation (forecast, monitoring) of flood inundation areas. In the project area "risk analysis", a modular prototype (service) for the presentation of the current development and forecasts of the consequences of a flood (affected areas, risk categories, user groups) is to be developed. In both areas, the optimal use of internal know-how and data (ministries, subordinate authorities, federal states), as well as networking with all available external systems should be ensured. Likewise, all available real-time measurements (sensors, trusted spotters, social media, etc.) should be used for resilient forecasts or feedback for system optimization. In this way, not only the SKMM but all groups of people and institutions involved in the risk cycle should benefit from the project.