The SDGs-EYES Platform
The SDGs-EYES platform consists of two main elements to bridge the gap between science and decision-making, helping transform information into real action. It focuses on seven SDGs indicators on Climate (SDG 13), Ocean (SDG 14) and Land (SDG15), tested across different pilot areas (Sahel countries, North Sea, City of Turin (Italy), Romania, Cosenza province (Italy)).
SDGs Monitoring Service
Designed for non-scientific stakeholders and decision-makers, these interfaces translate complex data into clear, accessible insights. They offer intuitive visualizations and dashboards, ensuring that new indicators are not only available but also understandable and actionable.
FIRE-TRACE
FIRE-TRACE is a new service to advance and harmonise GHG emissions monitoring, integrating several data layers to capture the true complexity of fire behaviour. It is a research-driven, Earth observation-based tool that delivers timely maps of GHG emissions, including carbon dioxide (CO2), methane (CH4), and particulate matter.
Heat Health Risk Assessment
The Heat Health Risk Assessment is a co-designed service that maps the spatial distribution of heat-related health risks in the city of Turin. By integrating Copernicus climate reanalysis data, health data, urban context and census-derived sociodemographic indicators, it produces a risk indicator that reflects climate hazard, exposure and vulnerability. The service identifies urban areas where heat stress coincides with the presence of at-risk populations.
Climate Security Watch: The Sahel Impact Tracker
Focusing first on flood impacts, the service delivers a scalable platform that identifies where hazards meet human presence. Flood-related datasets (precipitation, soil moisture, hydro-modelling from digital elevation models) are combined with exposure layers such as population and infrastructure to estimate how many people and buildings are directly affected.
Sea Surface Acidity
To assess sea surface pH, this service makes use of modelled pH fields which are combined with in situ records to enhance accuracy and correct for regional biases.
Marine Waters Eutrophication
This service integrates Copernicus marine model outputs, specifically ocean colour observations and biogeochemical models, to monitor chlorophyll concentrations, track eutrophication trends, and detect seasonal algal blooms.
Soil Erosion by Water Assessment Tool
The service provides policymakers with evidence to achieve land degradation neutrality and implement soil protection policies. It enables timely targeting of conservation measures in erosion hotspots and supports credible national and EU reporting.
Forest Tracker
The service uses Sentinel-2 satellite data and vegetation indices to produce annual maps of forest loss, degradation, stability, and regeneration. Co-designed with forest and environmental authorities, it provides user-friendly maps and statistics to support enforcement, restoration planning, and SDG/EU forest reporting.
The Jupiter Laboratory
A Jupyter-based python environment that uses both Copernicus services and satellite data to generate analysable datasets. It allows scientists to upload their own code or adapt existing workflows. Moreover, it enables building indicators starting from the pilot regions identified in the SDGs-EYES project and scaling up to European-wide applications.
By nature, SDGs-EYES is a typical big data activity. It consumes a large variety and volume of data, and it cares with performance (velocity) and data quality (veracity). To face these challenges and provide, at the same time, internal and external users with a development and operational environment, keeping costs under control, a dedicated platform has been set up, and is being operated throughout the project lifetime.
The SDGS EYES Platform is built on three main elements.
Data Layer
It consumes data from the traditional Copernicus data sources (both services and satellite data), ingests ancillary data and, through the use of agnostic geospatial data management tools, generates analysis-ready datasets for tests and demonstrator cases.
Processing Layer
The platform is supported by an ICT layer that is fully dockerized and, besides providing storage and computational capabilities, it exposes a set of tools to parallelize / optimise computational tasks in both development and pre-operational phases.
Frontend Layer
The platform offers two user-interaction modalities: a laboratory and pilot frontends.
A central role is played by the Software Repository. It hosts the code for the development of the indicators and pilots, managing cooperation and versioning. Once ready, the codes are optimized for automatic execution; a traditional CI/CD process is followed for their integration to serve the pilot frontends.
The platform is deployed on a cloud environment (Scaleway): being fully dockerized, the extension / migration to other cloud infrastructures will be seamless.
