Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
Accelerating Geospatial Insights: openEO's Scalable and Open Solutions
Hans Vanrompay
VITO, Belgium
The openEO community standard is revolutionizing how geospatial researchers access and analyze large-scale Earth Observation (EO) data. By abstracting technical complexities, openEO empowers researchers to focus on deriving meaningful insights from EO data, offering seamless access to diverse datasets and scalable processing capabilities.
This hands-on demonstration will provide participants with an accessible introduction to openEO, showcasing its potential for geospatial research. Participants will explore Jupyter notebooks designed to illustrate key workflows and applications.
The session will begin with an overview of openEO’s core concepts and practical functionality, using the Copernicus Dataspace Ecosystem deployment to access Sentinel mission data. Attendees will learn how openEO simplifies data discovery and processing, allowing researchers to address questions in biodiversity, climate, and land monitoring.
The second part will focus on real-world applications, spotlighting the ESA–World Ecosystem Extent Dynamics (WEED) project. This project demonstrates how openEO enables:
- The extraction of global training datasets, e.g. for biodiversity and ecosystem studies.
- Performing machine learning inference for e.g. ecosystem mapping.
- Scalable production of land, continental, and global-scale maps.
By highlighting this impactful use case, the session will illustrate how openEO enables researchers to effortlessly scale up their prove of concept, to a continental product. Thereby, enabling geospatial scientists to tackle global challenges supported by open and FAIR tooling.
