An operational service providing flood predictions (namely flood extent and depth information) up to two days in advance through the integration of high-resolution weather forecasts. It also provides advance warnings for upcoming flood events, particularly flash floods. This enhanced capability supports civil protection authorities in proactive decision-making, including timely alert issuance, public safety instructions, evacuation planning, traffic management, and emergency response. In addition, the use case contributes to the implementation of key international and European policy frameworks, including the EU Floods Directive (2007/60/EC), the Sendai Framework for Disaster Risk Reduction, the UN Sustainable Development Goals, and the UN Early Warnings for All initiative.

The datasets used in the system consist of both static and dynamic data sources. Static datasets include a Digital Elevation Model (DEM) provided by the National Cadastre and Mapping Agency S.A. of Greece, Curve Number data, Ombrian curves and hydrography data from the Ministry of Environment & Energy, Land Use/Land Cover data from the Copernicus Land Service and burnt scar mapping from FireHub/NOA, Infrastructure-related information, including building footprints and road networks, was obtained from OpenStreetMap. Dynamic datasets comprise real-time observations from three telemetric hydrometeorological stations, including water stage and precipitation time series provided by NOA, as well as forecast precipitation outputs from the WRF-ARW numerical weather prediction model. The combined use of static and dynamic datasets allows the system to account for both fixed spatial characteristics and time-varying hydrometeorological conditions that influence flood risk.

In 2021, a Programming Agreement was signed between the Prefecture of Attica and the National Observatory of Athens to conduct the research study “Earthquake, fire and flood risk assessment in the Region of Attica” (Part A) in selected and most vulnerable areas. In the framework of this research and technical work, state-of-the-art methodologies were developed and implemented that support multiparameter flood risk assessment and management planning at high spatial resolution (building block level). This work integrates different data sources, including remote sensing, in-situ measurements, field visits, and simulations, and is characterized by considerable added value, as it supports the civil protection authorities as well as all the other relevant stakeholders in the decision-making, first response, and management of floods. Furthermore, this innovative approach is transferable, adaptable, and scalable, and it was implemented in the Garyllis river basin in Cyprus, in the framework of the “EXCELSIOR” H2020 Widespread Teaming project.

A user-friendly mobile application for civil protection purposes. By logging into the application the user finds on the map the nearest assembly points in the area in case of an earthquake. By selecting the desired point the user receives directions to the assembly point.

It depicts the results of the diachronic mapping of flooded areas in selected river basins of special interest, following the processing of Sentinel images from the Hellenic National Sentinel Data Mirror Site, through a fully automated process.

a) It registers major flood events in Greece & South-Eastern Europe and publishes the flood mapping results, produced following the processing and photo-interpretation of satellite optical and radar images.