Pioneering H2020 project e-shape, strengthens the benefits for Europe of GEO - establishing ‘EuroGEO’

EuroGEO, as Europe’s contribution to the Global Earth Observation System of Systems, aims at bringing together Earth Observation resources in Europe. It allows Europe to position itself as global force in Earth observation through leveraging Copernicus, making use of existing European capacities and improving user uptake of the data from GEO assets.                           


                                 Explore e-shape success stories

mySPACE
Success story
In order to secure ecosystem benefits under increasingly anthropogenic pressures , knowledge-based conservation, management and restoration policies are needed. The key to that is data services that encompass effective monitoring (combined Remote sensing RS and insitu) and modelling of the trends and states of the ecosystem and its services.
Company: National Research Council (CNR)
Proposal: The H2020 ECOPOTENTIAL produced a wide-ranging set of RS variables for an ensemble of 25 Protected Areas (PAs) covering the biogeographical regions of Europe with a focus on arid, mountain, and coastal ecosystems. The selection of variables was co-designed with the PA staff on-site (narratives) that link the ecosystem state and its changes to the drivers of change and to the essential variables to be effectively monitored. MySPACE will extend the approach (workflows and procedures) to quantify current and expected changes in a larger ensemble of sites.
WindSight - First class input data for wind energy models
Success story
WindSight is a suite of novel EO-based products for characterization of the land surface roughness and topography anywhere in the world. Together with state-of-the-art flow modeling tools for wind energy planning and prospecting, WindSight can replace current procedures for land surface characterization, which are based on manual assessment, coarse global data sets, or costly airborne measurement campaigns.
Company: DHI GRAS
Proposal: WindSight is a suite of novel EO-based products for characterization of the land surface roughness and topography anywhere in the world. Together with state-of-the-art flow modeling tools for wind energy planning and prospecting, WindSight can replace current procedures for land surface characterization, which are based on manual assessment, coarse global data sets, or costly airborne measurement campaigns.
High photovoltaic penetration at urban scale
Success story
GIS tool for urban areas to simulate variability in space and in time the electric energy load and the yield productions of rooftop PV systems to assess for planning phase
Company: Armines
Proposal: There is a need, in urban area, for GIS-like tool for grid operators, urban planning decision makers, industries, aggregators for solar energy trading, citizen (PV self-consumption) and researchers. This GIS-tool is meant to provide an urban energy system modelling of distribution grids to plan, monitor and nowcast (i.e. and short term forecast) the spatiotemporal variability of the electric consumption on one hand and of the production of fleet of PV rooftop systems on the other hand.
nextSENSE: solar energy nowcasting & short-term forecasting system
Success story
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.
Company: National Observatory of Athens (NOA)
Proposal: The increased use of the renewable energy sources brings to the fore the simultaneous vital need for improved Earth Observation (EO) solutions for the continuous monitor of solar energy potential and fulfil the increasing integration of solar farms into the electricity grids, the load exchanges, as well as the efficient electricity transmission and distribution. Therefore, through joint solar energy implementation funded projects, the EC's renewable energy policy aims to set up a low carbon environment with relevant services and support by existing and new EO techniques dealing with accurate, nowcast, short-term (STF) and long-term forecast estimations of solar energy.
Climate, Forecasting sunlight exposure, Map and monitor solar energy (solar farms), Alternative Energy, Environmental, Pollution & Climate, Local and regional planners, Utilities (water, electricity, waste) 
Dynacrop - unlocking EO intelligence across the food value chain
Success story
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.
Company: World from Space
Proposal: DynaCrop pursues a synergy with companies already established in the food value chain and helps them to integrate EO-based information at scale. In this way, it minimizes resources needed for EO integration (money, time, human resources) and provides users with state-of-the-art service. Information is delivered through the value-added platform (API, white label web application, QGIS plugin) and users are receiving user-centric consulting and R&D cooperation as part of the cooperation.
Agrowth
Success story
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
Date: January 21, 2022
Company: National Observatory of Athens (NOA)
Proposal: The agrowth platform, which is a suite of smart farming services enabled by artificial intelligence, earth observations and numerical weather predictions. Crop phenology and crop yield estimation, the two core services of agrowth, constitute key information for agricultural management and thereby actionable knowledge for the farmer, the agricultural consultant, the insurance company and the policy maker. Using agrowth we can i) reduce the cultivation costs, ii) increase productivity and iii) protect the yield from adverse weather events. All this work is of great significance towards achieving zero hunger, as we help to make more with less
Agriculture, Atmosphere, Climate, Land use

                                Meet the entities involved in e-shape