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Massive Open Online Course (MOOC) – EO Open Data Science

EURAC RESEARCH – ACCADEMIA EUROPEA (IT)

Summary

This Massive Open Online Course on “EO Open Data Science” aims to provide students with  practical knowledge on how to effectively use EO Platforms for Open Data Science in the cloud.

At the end of the course, students will be able to develop and execute EO applications on the most commonly used cloud platforms (for EO) and to successfully apply the key principles of Openness for EO Scientific research and applications.

 

In particular, the course will help students to develop essential skills and knowledge in: 

 

  • How to programmatically access ESA and other open data in a platform environment;
  • Designing, developing and executing algorithms on EO cloud platforms;
  • Scalable EO and geospatial analytics in the cloud;
  • Open Source development practices.

 

The course’s practical exercises will address EO-specific problems. To this scope, the basic theoretical knowledge in EO will build on the EO College extensive collection of lectures and training materials. In particular, the following essential chapters will be reviewed:

 

  • EO sensors and ESA missions and what they measure;
  • What types and classes of signals are commonly found in remote sensing applications;
  • What are the statistical properties of these classes of signals;
  • Signal Processing and Machine Learning methods for Earth Observation.

The course is now in development and will be launched in 2023.


This course is part of ESA’s Open Science activities. 

@EO_OPEN_SCIENCE


Information

Domain
AI4EO
Prime contractor
EURAC RESEARCH – ACCADEMIA EUROPEA (IT)
Subcontractors
  • EARTH OBSERVATION SERVICES GMBH (DE)
  • EBERLE SOFTWARE & WEB DEVELOPMENT (DE)
  • EOX IT SERVICES GMBH (AT)