The goal of the EOxposure project is to build tools to quantify the exposure of population and economic assets to multiple risks using novel information layers from current and future Earth Observation (EO) missions, as well as the growing sensor web on the ground. The project exploits the novel concept of the human EXPOSOME, i.e. the set of exposures to which an individual is subjected through its own existence. It includes the entire history of interactions with the environment, including air and water quality, food and exercises, as well as living habits and diseases that may spread. The cutting-edge fusion of this concept with EO and sensor data aims at measuring the human exposure to threats that are external to each individual, and quantify the interactions between human beings and the environment. By building geospatial information tools upon data coming from multiple sources, at different spatial and temporal scales, the EOxposure project aims at providing free public services, enabling citizens to understand the threats to which they are exposed, and decision makers to take more informed and effective actions against them. Specifically, EOxposure will focus on threats connected to housing conditions, disease spread, as well as security and health issues in urban and peri-urban areas, where population is concentrated. The new tools will build upon the consortium expertize on nutrition- and vector-borne disease models, urban heat monitoring and material characterization, satellite data processing, and geospatial data fusion, realizing interdisciplinary working groups dedicated to the above mentioned applications. To do so, EOxposure enrolls institutions from Europe and South America, merging expertises on exposure to risk in both developed and developing countries.

The Europe population experiences yearly about 2 million to 2.5 million fires with 20 to 25 thousand deaths and 250 to 500 thousand reported injuries. Moreover, EUFireAcademy states European countries suffered 558 fatalities per million inhabitants due to fire hazards during the year 2010. Even though satellite-based positioning technology allows rescue workers to already operate efficiently, GPS availability, reliability, and accuracy are often poor during fire operations, for example due to thick smoke, dense forests, rough terrain and inside buildings. In this context, the objective of AIOSAT (Autonomous Indoor & Outdoor Safety Tracking System) is to progress beyond the state of the art by defining the AIOSAT concept that aims to overcome aforementioned limitations of GNSS usage in rescue interventions. For this purpose, GNSS positions are enhanced with EGNOS and fused with position information inferred from IMU and RF. The main paths to the goal will be to define 1) the end-user requirements for the AIOSAT system, 2) the Advanced Positioning Subsystem 3) the Communications Subsystem 4) the tracking and alerting (TA) application and, 5) build an integrated prototype system validated during field tests. The dissemination and use of the project outcomes are the ultimate objective. Therefore, in order to use and spread the knowledge acquired, a set of concrete, quantitative and customized activities is planned. The main strengths of the AIOSAT consortium are threefold.1) It is composed of world class organizations with extensive and successful prior experience in the research topics related to the technologies employed. 2) The consortium involves two end-users, a technology provider, a university, a university-level military academy and two SMEs aiming at exploiting the project results as subsystem integrators, software and service providers. And 3), last but not least, the small consortium size avoids inefficiencies and work overhead typical for larger projects.

The number of drones in commercial and recreational use is expected to grow significantly within the next years. Currently the most dynamic market is in low flying remotely piloted and autonomous aerial vehicles. In 2016 the European Aviation Safety Agency (EASA) has published three different categories of such drones: an open category, a specific category and a certified category. The MoNIfly project (Mobile-Network Infrastructure for Cooperative Surveillance of Low Flying Drones) targets the open and specific categories by proposing a drone traffic management system based on mobile network infrastructure. The main challenge will be the acceptance of low flying devices by the general public. Therefore innovative solutions must be found, developed and demonstrated to allow safe and society friendly as well as aviation-harmonized drone operations. The MoNIfly concept will enable applications with virtual barriers (so-called geo fence applications) that use static databases as well as high-dynamic update rates to support moving vehicles. This means that the risk of collisions of drones with static obstacles but also other drones or aircraft/helicopters will be greatly reduced. Additionally this concept will allow protection of privacy sensitive areas like private houses/gardens or even scenes of an accident or incident. Another area of operation could be the TV market where during sports events the target of interest (e.g. downhill skier or car racer) would be protected by a fast moving geo-fenced area. The MoNIfly consortium consists of a Mobile Infrastructure provider (Nokia), a drone manufacturer (Aerial Tronics Group), a drone operator (UAV International) and two universities (Royal Military Academy Brussels and TU Braunschweig) with excellent background in current air traffic management and drone operations. The project aims to develop the applications described above and will demonstrate their feasibility in a relevant environment. The goal is to enhance the technology readiness level (TRL) from 2 (technology concept formulated) to a TRL of 4 (technology validated in lab) or 5 (technology validated in relevant environment).