Use Cases

The Personal Allergy Symptom Forecast System (PASYFO) was developed to assist allergy sufferers. Personalised information allows users to track pollen allergy symptoms. Europeans will be able to monitor their exposure to pollen allergens and receive allergy symptom forecasts for the next three days. PASYFO enables users to plan their outdoor activities more effectively during the vegetation season. With the information provided by PASYFO, users can improve their quality of life and rationalise their healthcare costs.

DANAOS Shipping is one of the largest managers of modern, large-size containerships voyaging through the open seas, planning trips that last many weeks. EO4EU aims to limit the solution space and increase the throughput reducing the computational time. Such an approach will have a positive impact on ships travelling, towards their destination, as it will limit the time of the optimised route. 

The Food Security case study concerns various aspects of food security and natural systems safety, climate change, mitigation and adaptation, as well as the sustainable management of agricultural systems. The related development activities consist of the determination of specific climate indicators for the evaluation of the impact of extreme climate events and adverse phenomena such as the spread of destructive species on crops, risk estimation, forecasts, and alerts for potential production losses as climate mitigation services. 

The Forest Ecosystems Use Case aims to support EU Member States and national forestry agencies in producing standardised, high-resolution forest cover maps by leveraging EO4EU’s advanced machine learning, data fusion, and optimisation capabilities. By integrating Earth Observation (EO) data and ground-based surveys, EO4EU addresses the critical need for harmonised, accurate, user-tailored and up-to-date forest maps to support greenhouse gas (GHG) inventory reporting under the United Nations Framework Convention on Climate Change (UNFCCC) and the Paris Agreement.

CMCC Fondation (Euro-Mediterranean Center on Climate Change) is a leading research center focused on understanding the interaction between climate change and society. For the Use Case 5 (UC5): Soil Erosion, the CMCC explores the potential of leveraging diverse data sources, among which Earth Observation (EO) imagery and gridded precipitation datasets, and innovative Artificial Intelligence (AI) methodologies to assess soil loss by water in South Italy, although the approach is suitable for generalization.

The use case proposed for this project is an information service of locust plague impact assessment and prediction that SIS is providing to an NGO currently operating in Yemen. Desert Locust plague is strongly influenced by climate conditions and vegetation status. So far, all the studies aimed at describing and monitoring this phenomenon have approached separately the Earth Observation techniques and Climate predictions analysis.

This use case will deal with a better exploitation and use of EO observed datasets to be adopted in the prevention and response activities of Civil Protection services. It builds on the cloud based service provided by IES Solutions - now Webgenesys - to Regione Sicilia, Italy, and extends to the West Attica and Evros regions of Greece for the end-to-end management of operations, ranging from risk nowcasting, short-time prevention planning and daily service activities, to the coordination of response to major emergencies. Based on a proven, geographic, Civil Protection Decision Support System this UC#7 aims at showcasing EO-driven improvements in the real-time management of natural and Man-made risks.