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H2020 AI and Big Data

Big Data and Artificial Intelligence for Earth Observation (EO)

19-20 November 2020, European Commission workshop

The two-day workshop presented nine research projects on big data and artificial intelligence for Copernicus and Earth Observation, funded under the Horizon 2020 Space Programme.

European Union’s Earth Observation Programme

The results of the five projects selected under the topic ‘EO-2-2017: EO Big Data Shift’.

The workshop introduced three new projects selected under the topic DT-SPACE-25-EO-2020: Big data technologies and Artificial Intelligence for Copernicus. Additionally, there will be one project selected under the topic LC-SPACE-18-EO-2020 Copernicus evolution: Research activities in support of the evolution of the Copernicus services subtopic Copernicus Land Monitoring Service.

Innovative EO solutions that the projects have developed:

* OpenEO   [LINK]
* the CANDELA platform [LINK] [YOUTUBE]
* EO-LEARN PerceptiveSentinel’s Python library [LINK]
* Sentinel Hub [LINK]
* the EOPEN platform [LINK]
* the BETTER Data Pipelines [LINK] [HACK]

New projects:
* CALLISTO mobile/secure Big Data platform
* the DeepCube Platform for analytics and AI
* GEM’s AI-enhanced EO-LEARN framework [TWITTER]
* RapidAI4EO [LINK] improved AI land monitoring applications

YNews user tehCorner writes:

My first job was in a company fully dedicated to milk the European H2020 projects’ cow. Their business model was to offer the lowest budget on a series of projects and then have a bunch of interns like me do all the work on their own with very bad conditions (very few were actually even paid and we didn’t have right for holidays).
At some point we all realized the profit the company was making with us and demanded better conditions, they rejected our claims and we planned to leave all at time they had to deliver the projects and get paid. Nothing got delivered, they didn’t get paid and just went out of business.