Earth Observation plays a crucial role in mitigating disasters by providing risk estimates, early warnings, and essential information for responders. Moreover, beyond monitoring land-based situations, it's also a valuable tool for understanding atmospheric conditions. Sentinel data, known for high quality and an open data access model, are essential for these Earth Observation tasks. Similarly, the Streamlined Data Access API available in the ecosystem, including openEO, provides a suite of tools and services to support data processing and analysis.

Therefore, in this session, we aim to bring together data users, service providers, and scientists interested in analyzing these collections with this novel approach(openEO). By adopting openEO, developers, researchers, and data scientists gain access to a unified and interoperable platform, empowering them to harness distributed computing environments and leverage cloud-based resources for addressing complex geospatial challenges. Thus, we'll delve into utilizing the openEO API within the Copernicus Data Space Ecosystem for analyzing Sentinel data, with a specific focus on Disaster and Atmospheric Monitoring. Additionally, users will be guided in utilizing the freely available JupyterLab environment provided by the ecosystem.
The Copernicus Data Space Ecosystem is a public service intended to highlight the capabilities of the Ecosystem for the processing of the Copernicus Sentinel data using the free and open, public interfaces and application programming interfaces. The Copernicus Data Space Ecosystem is placed as the primary access point for public space data. The integration of earth observation data from space in many environmental and earth system applications has great potential for the benefit of society and the use of public funded satellite programmes (through the European Union and European Space Agency).