The use of Earth Observation for solar power monitoring and forecasting highlights the value of the modern tool capabilities and skills into energy planning and management.

The food production sector must undergo a major change in order to sustain food production for a growing population and turn sustainable and carbon-neutral at the same time. Earth Observation is bringing tools that support the transition, but their adoption is slow due to the high complexity of the issue. DynaCrop is a white-label ecosystem enabling companies in the food value chain to use advanced information, statistics and intelligence based on Earth Observation. It provides ready-made crop monitoring, field statistics, application maps and soil moisture assessment on a global scale.

Agrowth platform combines Earth Observation data along with pertinent vegetation indices, soil and weather data. It makes use of state of the art in Artificial Intelligence in order to support smart farming using EO data. Specifically, it provides a crop monitoring service which offers information and/or actionable advice at the parcel level. In the current alpha version, the available services per parcel are: Phenology estimation: It estimates the current phenology stage of crop and the fuzzy transition of them in the course of time. Specifically, it provides the percentage of completion of each stage and it indicates the major and minor phenological stage in order to highlight this fuzziness of transition between of them. Weather Forecast: It visualizes the max and min ambient temperatures per parcel and it interplays with risk.resagri.eu. The user can be transferred at the click to ResAgri’s detailed weather information. Yield prediction: It predicts the yield in kg/ha, weeks earlier from the harvest. Vegetation Indices: It provides charts for the evolution of the vegetation indices NDVI, NDWI, PSRI and some crop specific indices. Furthermore, there are some services for a quick overall view of the state of all available parcels on the map of user. Overlay Satellite Images: It allows to overlay satellite images (RGB or NDVI) over the users’ parcels for a chosen acquisition date and area of interest. Phenology Stage: It colors the outline of each parcel with a color equivalent to its major phenology stage. Crop Classification: It colors the outline of each parcel with a color equivalent to its crop. Daily sowing map: It provides a heatmap for the sowing period of cotton which estimates daily the risk of sowing in a 2km x 2km spatial grid

More than 80% of the global population lives in areas at risk of at least one major Vector-Borne Disease (VBD), with more than 700.000 deaths at a global scale (WHO, 2020). Mosquitoes are the protagonists of these vectors, transmitting pathogens to living beings with the most important being the Mosquito-Borne Diseases (MBDs) in Europe, namely West Nile Fever linked to Culex mosquitoes, Malaria linked to Anopheles mosquitoes and Chikungunya, Dengue and Zika linked to Aedes mosquitoes. There is a constantly increasing need to innovate on how the continuous threat of MBDs are confronted, treated but most of all foreseen. This gave birth to the idea of EYWA, an integrated and contemporary EarlY Warning System (EWS) for MBD, which utilizes state-of-the-art AI/ML technologies and furthermore assimilates big EO data and geo-spatial information, embodying a complete, adaptable (scalable, and replicable) and operational European EWS. EYWA offers operational and pre-operational services for MBD outbreak (TRL >7 up to 9) in five countries (France, Germany, Greece, Italy, Serbia).

Mercury is a pollutant of global concern. Released to the atmosphere from several anthropogenic and natural sources, it deposits to oceans and terrestrial ecosystems affecting the food chain and ultimately human health. Its effects potentially impact on both human health and the environment, so it is necessary to take into consideration the pathways of exposure for people, and to implement a surveillance for the protection of human beings and of the environment. Efforts at European level have been aimed to develop a Transnational Environmental Observation System in Support of European & International Policies through the Integration of real-time monitoring data from various platforms, modelling tools and an advanced global cyber-infrastructure for data sharing and interoperability.

The project provides a (i) geodata driven drought monitoring services and (ii) a financial service delivery to smallholder farmers based on a geodata-driven risk-mitigation (insurance) product that offers a basic safety net to protect them against the weather related peril ‘drought’.