[Webinar 2026-01] From space to Cloud: practical Earth Observation workflows. 

We are pleased to invite you to our upcoming webinar designed to present you a practical introduction to Earth Observation in the cloud.

Join us for a practical introduction to Earth Observation in the cloud, where data, catalogues, and infrastructure form a single analytical ecosystem. The session will demonstrate how EO data can be discovered, explored, and processed directly in the cloud using real use cases and hands-on workflows. 

The session is technical, but presented in an end-to-end manner, focusing on how all components work together. 

WHEN: Wednesday, January 14^th, 14:00 CET 
DURATION: 60 min + Q&A

> This webinar is for:

• data analysts and data scientists who want to work with Earth Observation (EO) data without downloading it locally  
• GIS and remote sensing specialists interested in modern, cloud-based approaches to data discovery and processing  
• IT, cloud, and DevOps engineers who want to see practical use of virtual machines, Kubernetes, and object storage in an EO context  
• students and PhD candidates in technical fields (GIS, geoinformatics, computer science, data science)  
• people starting their journey with the Copernicus / CDSE / CREODIAS ecosystem, who want to understand the full stack: data, catalogue, and infrastructure 
• participants of the Geospatial Innovation Competition for the best solutions and apps that rely on spatial data

> What you will learn:

• understand what data is available in the CREODIAS platform
• use data access points such as CREODIAS Data Explorer, the OData catalogue, STAC, effectively for data discovery
• perform data discovery and exploration in Jupyter notebooks without downloading the data
• understand how virtual machines, Kubernetes, and object storage form a coherent analytical environment
• launch and configure a virtual machine using the CloudFerro dashboard
• understand the basics of infrastructure as code, using Terraform and Kubernetes
• learn from real business and research use cases based on EO data

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Technical presentation - agenda

1. CloudFerro & the EO Ecosystem 
   An introduction to CloudFerro Cloud and the CREODIAS platform. 
2. From Projects to Practice 
   How data, catalogues, and infrastructure come together in real-world EO workflows. Overview of CloudFerro’s projects and examples of real-world applications.  
3. EO Data in the Cloud 
   Available datasets and how to access them efficiently without local downloads (CREODIAS) 
4. Data Catalogue & Discovery 
   Using CREODIAS Data Explorer, the OData, STAC, and Jupyter for fast and effective data discovery. 
5. Cloud Infrastructure for EO 
   Virtual machines, Kubernetes, and object storage as a unified analytical environment. 
6. Real-World Use Cases 
   Practical examples including oil spill monitoring and AI-powered data discovery. 
7. Key Takeaways & Q&A 
   CREODIAS as a complete, ready-to-use Earth Observation stack - combining data, catalogues, and cloud infrastructure. 

Presenters