Data Foundations for Earth Observation 2025 – EO College

The materials in this course were recorded during the in-person training “Data Foundations for Earth Observation 2025” in Riga.
They are provided to help you review the sessions, revisit key concepts, or — if you were not able to attend — familiarize yourself with the topics covered.

We hope they support your learning and preparation for future activities.

Course Content

Day 1 – Introduction to EO & Big Data 3 Topics

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Basic introduction to EO & big data in EO: Challenges & opportunities

Thematic EO Applications & use-cases

Basic EO data exploration with Green Transition Information Factory (GTIF)

Day 2 – Processing Concepts 4 Topics

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EO processing workflows/ Python for EO

FAIR data & open science

Cloud processing for EO

HPC processing for EO

Day 3 – AI Workflows 3 Topics

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Introduction to AI & ML

Building AI models for EO analysis

Advanced AI applications in EO (fine-tuning foundation models (FTFM))

Day 4 – Business and Innovation Day 2 Topics

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Introduction by ESA BICs

Turning EO Research into a Viable Product or Service

Day 5 – Future Technologies 3 Topics

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Introduction to New Satellite Missions & New Space

Overview of high-performance trends

Overview of high-performance trends (e.g. quantum computing)

About Instructor

Henryk Hodam

2 Courses