Acquiring independent capability to detect, predict and assess the risk that space debris, near-Earth objects (NEO) and space weather pose to life, the environment and infrastructure

Space-Enabled Energy Network (SEEN) aims to offer services along the biomethane value chain, which includes capturing, processing, storing and distribution, targeting both supply and demand side customers. Supply side customers include landowners/businesses with significant grasslands and farms that can use waste from their day-to-day business operations to generate additional value by capturing, processing, storing and distributing their biomethane.

The ForCC demonstration project aims to develop and implement a cost effective and timely remote sensing-based system that facilitates the development of Sustainable Forest Management (SFM) forest carbon offset measurement for existing forests in Europe to support Voluntary Carbon Markets (VCM). It offers transparent criteria for carbon offset verification through data analytics and carbon accounting, increasing the credibility of VCM.

The Commercial Property Insurance project is aimed at developing a management platform for the insurance industry. The platform provides Digital Twins of several datasets including open data on crime, fire and rateables value, as well as Earth Observation and sensor-based data on natural catastrophe aspects (river flow, flooding, landslip, earthquake). The two main goals of the platform are to support parametric loss adjustment and improve rebuild cost validation.

SCIRES demonstration projects aims at developing services, which enable enhanced operation and monitoring capabilities for Critical Infrastructure in the domain of the Integrated Water Cycle, such as: Pipeline Monitoring, Ground Stability, Assessment of the Risks related to the Critical Infrastructure. These services rely on the use of EO images (e.g. SAR, HR) and derived data (e.g.

By utilizing space assets and cutting-edge AI technology, the Digital Port Platform functions as a centralized marine hub with the goals of improving port operations and minimizing environmental consequences. This technology provides real-time situational awareness to address significant operational and environmental concerns by transforming a variety of data sources into important indicators.

StepUp Horse is a wearable training aid that combines accuracy and convenience for horses. It is mounted beneath the saddle or harness and measures a number of parameters, including distance traveled, speed, heart rate, and frequency of breathing. Trainers and riders can gain insightful information from the device's real-time data processing, which is powered by embedded machine learning algorithms. Through the phone network, data is sent to StepUp's cloud, where it is monitored and alerted in real time via an iOS and Android app.

The Nerthus Project uses Artificial Intelligence (AI) and satellite imagery to combat growing the phenomenon of cyanobacteria blooms in water bodies. These blooms provide serious health and financial problems because of the possibility of water contamination, which is made worse by climate change and human activities close to water sources. The research uses skills in data analytics, remote sensing, and limnology to suggest a novel way to forecast these blooms before they happen.

Innovative Forecasting for Water Resource Management

The Urban Green View project conducted a feasibility study on the application of Earth Observation (EO) based services to enhance sustainable urban development and avert climate change-related hazards. With an emphasis on organizations involved in urban projection and community well-being, such as municipal administrations and environmental agencies, the research looked at a variety of EO-based services, such as detecting heat zones, locating cool air corridors and monitoring vegetation variations.