Climate change is changing mountains - creating new needs for safety and adaptation. Timely geo-localized information about mountain hazards is still hard to get. Most of the time, people go to the mountains missing critical information. Public/Private actors make decisions missing critical data – impacting thousands of lives and costing the outdoor/tourism/insurance industry millions.

This pilot aims at assessing the flood risk in selected areas, its impact on urban areas and the associated risk for population. It will use Sentinel-1 and Sentinel-2 data and relevant processing chains to generate time-series of imagery and automatically detect changes within a given period. The output will be exposed through the MEEO (pilot coordinator) platform whose data cube technology will be enriched with additional relevant datasets to provide both citizens and experts with a Flood Risk & Impact Assessment dashboard based on indicators, time-series charts or forecasting maps. The objective is to have a smart organization of the heterogeneous relevant datasets that facilitates the analysis of the data available and, therefore, the monitoring activities over an AoI.

The Global Monitoring Plan (GMP) of the Stockholm Convention (SC) was established as an effective and sustainable global system to collect comparable, harmonized and reliable information on POP levels in core media (air, human tissues (breast milk/blood), and water) supporting the effectiveness evaluation of the Stockholm Convention. The mandate for the effectiveness evaluation is Article 16 of the Stockholm Convention and decisions SC-5/18 and SC-7/25.

Volcanic eruptions are a natural disaster with great impact on society and environment. Even if they are relatively rare, the effects of eruptions on human activities and economy can be very severe. The aviation crisis in 2010, that resulted in 1.3 billion Euro damage, showcased the significant impacts to the general economic activity in Europe.

Natural hazards such as droughts, flash floods, and natural and man-induced disasters e.g. forest fires, and floods, are affecting and have a dominant role in natural ecosystems and agriculture, and hence food, resiliency and sustainability. This pilot is being composed by 3 main pillars: i) Gathering and processing of raw EO and meteo data , leveraging on DIAS back-office cloud services and integrating with multiple other data sources (in-situ, crowd, modelled); ii) Risk disaster modelling derived by NOA (risk assessment on various phenomena fires, droughts, seismic, landslides, floods), meteo modelling, flash flooding targeting on timely and accurate information (e.g. warning, alerting), and timely delivery to relevant stakeholders (e.g. farmers, agriculture cooperatives); & iii) Crop type and natural ecosystems mapping leveraging on EO research capacities (TRL 5) relying on machine learning methods in the agriculture domain (e.g. vegetation indices, crop identification etc.), fused with meteo data and coupled with disaster assessments and forecasts , aiming to provide vital thematic information to support the involved user communities (e.g. agriculture agencies, farmers, farming cooperatives) and decision making for the benefit of the agriculture sector and food security. This pilot would integrate an advanced hazard forecasting system to explore the links between heatwaves, wildfires, and floods in synergy with the other pilots of the disaster showcase concerning the development of an innovative meteo modelling solution in higher grid resolution and with EO based assimilation process.

This pilot application will exploit the new capacities for designing and delivering innovative services for extreme-scale hydro-meteorological modelling, using Copernicus data and core services directly ingested through the Copernicus Open Access Hub APIS, and the DIAS platform, as well as citizen scientists data, to enable more precise predictions and decision-making support for high impact weather events in urban and peri urban environment. Contributing to the Disaster Resilience SBA, one of the main activities listed in the GEO Space and Security Community Activity is to get maximum benefit from the use of large and heterogeneous datasets to potentially fill in the observational and capability gaps at EU decision making level. To this end, the application proposes also the integration of the datasets and tools made available in the frame of the pilot application (weather, citizen science, hydrological and fire models, RASOR platform, Change Detection Maps based on Sentinel-1 and the BEYOND (www.beyond-eocenter.eu) platform – FIREHUB and FloodHub - in synergy with partner NOA and the pilot for resilient ecosystems) for the assessment of impact of natural hazards over areas of interest with regard to human security issues.