The MOMIT project will develop innovative products and solutions supporting the maintenance process of railway infrastructures. MOMIT concept is based on the exploitation of unmanned technologies as Earth Observation satellites and RPAS-borne sensors. Starting from collected data analysis, MOMIT will bring at cutting edge level the remote sensing technology: developing advanced post processing chains, data fusion, automation, defining new indicators from estimated parameters, MOMIT will design new operational workflows able to support intelligent asset management. MOMIT will adopt a multi scale approach: Satellite and RPAS data will be combined in order to maximize their benefits and characteristics. A first overall analysis (with satellite and over long sections) will guide the detailed analysis and trigger specific preventive actions. Thus, maintenance activities are guided by this combined analysis with a general optimization of resources. Effectiveness and efficiency of proposed solutions will be demonstrated by six main application cases, validated in a real operational environment: - Ground movements: interferometry derived by SAR satellite data analysis will adopt to define tools and indicators supporting the user for detailed analysis and preventive actions planning - Hydraulic activities: a combination of optical and radar satellite data will be used to monitor soil moisture and water bodies close to the track - Natural hazards: anomalies along the track related to natural phenomena (as vegetation growth) will be monitored by the use of satellite data. - Electrical system: RPASs will be equipped with innovative sensors to monitor electrical effects impacting on the infrastructure efficiency - Civil engineering structures: a combination of satellite and RPAS data will be used to identify possible criticalities to the infrastructure - Safety: anomalies and illicit activities along the track will be monitor by the use of optical a radar satellite data

Resulting from the dramatic decline in the ice cover, new economic opportunities are emerging, such as new traffic routes for the transport of goods from east to west and access to recently accessible natural resources. However, these changes have the potential to increase environmental threats and security concerns in the region coming from interest on the intensive exploitation of natural resources on the artic land areas; increasing risk of seaborne disaster and oil spills or establishment of permanent human facilities compromising European security. The consensus within the EU to maintain a multilateral cooperation approach to ensure stability and dialogued solution in the region triggers an increasing demand of situational awareness for the EU. The objective of ARCOS is to design and implement an early-warning system providing continuous monitoring of the Arctic Region. Designed to generate actionable products in the security domain by processing and fusing multi-sensor data, the system integrates available information from space, non-space sources and products available from multiple Copernicus services. ARCOS generates information at three different levels of scale and user interaction: - Level 1. Automatic Early-warning System. Integration of space and non-space data sources for the triggering of alarms on the region when certain conditions are met. Automatic early-warnings are generated in case anomalous behaviours are detected. For this wide-area monitoring, automatic extraction of analytics and AI techniques are applied. - Level 2. User-Driven Alert System, where space and non-space data is processed on specific locations provided by the user. The alarms can be configured based contextual information based on the user input. - Level 3. Geospatial Intelligence Products. Following early-warnings generated in Level 1 or 2, geospatial intelligence products requiring human intervention are provided upon user request.

ICARUS project proposes an innovative solution to the challenge of the Common Altitude Reference inside VLL airspaces with the definition of a new U-space service and its validation in a real operational environment. In manned aviation, the methods of determining the altitude of an aircraft are based on pressure altitude difference measurements (e.g. QFE, QNH and FL) referred to a common datum. The UA flights superimpose a new challenge, since a small drone may take off and land almost from everywhere, hence reducing the original significance of QFE settings, introduced on behalf of manned pilots to display on the altimeter the 0-height at touchdown on the local runway. In fact, the possibility for n drones to take off at n different places would generate a series of n different QFE corresponding to different heights of ground pressures referred to the take-off “Home points”. Therefore for a large number drones, new methodologies and procedures shall be put in place. The ICARUS defines a new U-space U3 service tightly coupled with the interface of the existing U-space services (e.g. Tracking, and Flight Planning services). The users of ICARUS service shall be remote pilots competent to fly in BVLOS in the specific category of UAS operations and ultralight GA pilots potentially sharing the same VLL airspace. The ICARUS proposed approach foresees the realization of DTM service embedded in an Application Program Interface (API) that can be queried by UAS pilot/operator (or by drone itself) based on the actual positioning of the UA along its trajectory, computed by the (E)GNSS receiver. The output of the DTM service would provide information on distance from ground/obstacles in combination with the common altitude reference. Accuracy, continuity, integrity and availability requirements for GNSS-based altimetry together with accuracy and resolution requirements of the DTM to be provided by ICARUS service are key topics of the study.