The overall objective of our project is therefore to design, build and run an innovative end-to-end service for continuous and automatic GNSS deformation monitoring based on a new generation of low-cost GNSS receivers (Global Navigation Satellite System, including GPS and Galileo), prototypes of which are currently being developed by GReD and selected partners. The objective of the feasibility study is the development of a business plan to confirm the potential market and benefits, identify application fields and to estimate the investments needed for designing, building and running an operative end-to-end monitoring service. The business plan will also consider intellectual property management, sales channels to reach the market and economic metrics for the service pricing and delivering. The overall activities of the project are foreseen to be completed within 6 months.

The MAGDA project aims at developing a toolchain for atmosphere monitoring, weather forecasting, and severe weather/irrigation/crop monitoring advisory, with GNSS (including Galileo) at its core, to provide useful information to agricultural operators. MAGDA will exploit the untapped potential of assimilating GNSS-derived, drone-derived, Copernicus EO-derived datasets, in situ weather sensors into very high-resolution, short-range (1-2 days ahead) and very short-range (less than 1 day ahead) numerical weather forecasts to provide improved prediction of severe weather events (rainfall, snow, hail, wind, heat and cold waves) as well as of weather-driven agriculture pests and diseases to the benefit of agriculture operations, also in light of ongoing effects of climate change. These targets will be achieved by setting up a database of variables of interest, and an assimilation system to feed a numerical weather prediction model, which in turn drives a hydrological model for irrigation performance and water accounting to assess water use and related productivity. In addition to already existing observational networks, new dedicated networks of sensors, including GNSS and drones, to monitor atmospheric variables at high spatial resolution will be deployed in the vicinity of large farms and cultivated areas, to provide data with high spatial and temporal resolutions for the assimilation into the weather model. The delivery of the augmented forecasts and irrigation advisories to farmers will be enabled by a dedicated dashboard and APIs to already existing Farm Management Systems. The tools developed within MAGDA will represent the technical and methodological components based on which services to support agricultural operations will be defined.

Gravimetry aims at unveiling the density structure of the undergrounds by measuring subtle changes of the local gravity acceleration. The first-generation of quantum gravity sensors (QGs) has received a strong interest from many customers, and the market is still growing. But the commercial potential and the positive-impact of the technology are not yet fully exploited because of several limitations such as transportability, robustness, user-friendless or high operation costs. To overcome the barriers that limit the operational utilization of field gravimetry and develop the solutions that will allow us to fully address the exploitable market, we propose to conduct in FIQUgS the development of several innovations, either at the technological level with improved QGs built upon a reliable and efficient supply chain, or in terms of operational methodology. The development of a next generation QGs product line, and the services associated for the conduction of field surveys, data acquisition and data inversion will allow to considerably develop our capability to address the market of advanced geophysics. The unique industrial and technological capabilities that will result from FIQUgS will positively contribute to several important societal objectives, especially the European Green Deal: - the new field QGs will allow for a reduction of the environmental impact associated to mining activities thanks to a reduction of drilling operations, and civil engineering where it will contribute to more efficient and resilient constructions. - they will contribute to an improved utilization of geothermal energies through the development of non-invasive monitoring capabilities of the energy reservoir. - they will be involved in CO2 storage operations and will contribute to the fight against global warming thanks to these advanced monitoring capabilities. FIQUgS will also have an impact in quantum technologies markets, such as high-performance navigation or advanced photonics.

The SINOPTICA project aims at exploiting the untapped potential of assimilating remote sensing (EO-derived and ground-based radar) as well GNSS-derived datasets and in situ weather stations data into very high-resolution, very short-range numerical weather forecasts to provide improved prediction of extreme weather events to the benefit of ATM operations. This will be done by setting up a continuously updated database of remote sensing-derived, GNSS-derived and in situ weather stations variables, in combination with an automated assimilation system to feed an NWM. The usefulness of deploying dedicated networks of sensors to monitor atmospheric variables at high spatial resolution in the vicinity of ATM "hotspots" such as airports will be investigated as well. SINOPTICA weather forecast results will be integrated into ATM decision-support tools, visualizing weather information on the controller's display, and generating new 4D trajectories to avoid severe weather areas. The usefulness of the newly developed SINOPTICA tools will be monitored during the project and evaluated, thanks to the involvement of ATM stakeholders in the project consortium and advisory board.

Objectives: Provide currently unavailable geo-information on weather, water and climate for sub-Saharan Africa by enhancing satellite-based geo-data with innovative in situ sensors and developing related information services that answer needs of African stakeholders and the GEOSS community. Concept: A systematic feedback loop to reciprocally validate in situ measurements and satellite data in one integrated model. Over 500 in situ measurement stations using citizen science. State of the art advancement & Innovation potential: Building on and pushing further recent advances in sensor and communication technology to provide cheaper and more robust in situ measurements covering a wider area at a higher resolution in sub-Saharan Africa. Working with tech-hubs in Europe and Africa to feed creation and growth of European and African start-ups that develop sensors and geo-services, delivering complete value chains from sensor to customer-ready information delivery. Impact on call expectations: -Integration of in situ components into models based on GEOSS and Copernicus data -OGC compliant science-grade geo-data (atmosphere, hydrosphere, biosphere) delivered to GEOSS, incl. near-real time statistically characterized soil moisture data from Africa that can be used operationally (not currently available) and radar derived soil moisture measurements also available under cloudy conditions, or vegetation overgrowth -at least 20 new products for use in food, water, energy security, climate change and resilience to natural hazards validated and ready for large-scale implementation by consortium partners and external stakeholders -based on at least 10 innovative, cost efficient, robust, sensors, including fast neutron coun-ter, track¬ing of convective storms with consumer lightning sensors and accelerometer for tree-crown weighing -(Bio-degradable) sensors reduced to one tenth to one hundredth of their current price, extremely low-maintenance, use of Unmanned Aerial Vehicles.