Climate pressures, regulatory changes, and supplier volatility are transforming global supply networks, especially those more reliant on agricultural raw materials, such as food, cosmetics, textiles, and pharmaceuticals.  

To address these challenges, ESA Phi-Lab Spain has launched and funded RISKCHAIN, a project led entirely by Earthpulse to help companies understand, anticipate, and manage such risks. The team is developing a Supply Chain Risk Simulator that combines AI and Earth Observation (EO) data to strengthen resilience. 

Earthpulse brings deep in-house expertise in Earth Observation analytics, AI-driven modelling, and environmental intelligence, turning satellite data into practical tools for climate-risk assessment and business decision-making. 

Developed with Eurecat and the Fundació Empresa i Clima, RISKCHAIN transforms satellite intelligence into interactive risk scenarios that let organisations test how floods, droughts, or regulatory shifts could impact their supply chains, and use those insights to forecast, plan, and adapt to environmental disruptions. 

Powered by Copernicus data 

The simulator combines EO datasets from the Copernicus programme, particularly Sentinel-1 radar and Sentinel-2 optical missions and ERA5 reanalysis climate data, with socioeconomic, regulatory, and operational data to create dynamic, climate-aware supply-chain models. 

“Our goal is for RISKCHAIN to become a practical and reliable reference for companies that want to anticipate risks and plan for greater resilience and sustainability”, explains Dr Alba German, EO Data Scientist at Earthpulse. She continues, “In this first phase, we aim to validate the simulator’s usefulness in specific sectors and with companies already working with climate-sensitive agricultural raw materials.”  

Building the next generation of risk intelligence  

During this stage, the project will test pilot indicators and prototype dashboards with the company partners to assess how effectively the simulator models climate-driven risks and supports proactive planning. 

These pilots will demonstrate how the simulator can turn climate and supply data into clear risk insights that inform early action and adaptation strategies. Future stages will expand the simulator’s scope to include new variables (such as logistics data and financial indicators) and ensure interoperability with existing enterprise-management tools. 

Selected by ESA Phi-Lab Spain, a programme fostering space-driven innovation for climate resilience, RISKCHAIN demonstrates how satellite analytics and AI can directly reinforce sustainable and adaptive global supply chains.