In an era of unprecedented availability of Earth Observation (EO) data, the Copernicus Data Space Ecosystem (CDSE)(https://dataspace.copernicus.eu/) plays a key role in bridging the gap between data accessibility and actionable insights. Despite the availability of freely accessible satellite data, the widespread adoption of EO applications remains limited due to challenges in extracting meaningful information. Many EO-based projects struggle with non-repeatable, non-reusable workflows, mainly due to the lack of standardized, scalable solutions. CDSE tackles these barriers by adopting common standards and patterns, most notably through openEO(https://dataspace.copernicus.eu/analyse/openeo). This open-source solution is a community-driven standard that simplifies access to, processing, and analysis of remote sensing data by offering a unified platform. It empowers developers, researchers, and data scientists to use cloud-based resources and distributed computing environments to tackle complex geospatial challenges. Adhering to the FAIR principles (Findable, Accessible, Interoperable, and Reusable), it supports the global sharing and reuse of algorithms, enhancing collaboration and scalability.
Furthermore, by promoting the development of reusable, scalable, and shareable workflows, openEO enhances the efficiency and reproducibility of the EO workflow. Its feature-rich capabilities have also been used and validated in large-scale operational projects such as ESA WorldCereal and the JRC Copernicus Global Land Cover and Tropical Forestry Mapping and Monitoring Service (LCFM), which relies on its robust and reliable infrastructure. Through this session, we aim to present users with openEO and its capabilities. We will highlight how users can seamlessly convert algorithms into a process graph, thereby creating reusable services.