Towards a EUMETSAT roadmap on Artificial Intelligence (AI) / Machine Learning (ML)

A webinar series to explore the applicability and utility of Artificial Intelligence (AI) and Machine Learning (ML)

Machine learning and big data techniques provide new possibilities to complement and expand on our seamless Earth prediction system, in particular for expanding the production and use of satellite data.

Last Updated

14 March 2022

Published on

12 October 2021

As announced at the last EUMETSAT Council, EUMETSAT is developing a road map for Artificial Intelligence (AI) and Machine Learning (ML). A major question for EUMETSAT is the applicability and utility of Artificial Intelligence (AI) and Machine Learning (ML) to earth system value cycle in order to further exploit the EUMETSAT data and products.

We are organizing a series of webinar to explore the applicability and utility of Artificial Intelligence (AI) and Machine Learning (ML) to further exploit satellite data and products. In this webinar series you will hear about specific applications of AI and ML to different component of the seamless earth system value cycle, and strategic planning of AI/ML in other organizations. This information will be serve as a baseline to building the EUMETSAT AI/ML roadmap.

Schedule

Annual Fellow Day 2022

Date: 7 March 2022
Video recording can be accessed through this link: https://www.youtube.com/watch?v=uPRPJZOlhRI

Outside the box talks during the AI/ML Workshop

Towards a EUMETSAT road map on Artificial Intelligence and Machine Learning

Date: 9 December 2021

AI and Strategic Innovation – some principles to think about

Presenter: Alberto Arribas Herranz, Microsoft
Recording to the presentation can be accessed through this link: https://www.youtube.com/watch?v=mxXEBojAj2Q

Building an AI application that matters – interactive deep learning from animal conservation from above

Presenter: Devis Tuia, EPFL-Switzerland
Recording to the presentation can be accessed through this link: https://www.youtube.com/watch?v=HnowFkewZkU

The Rise of AI for Earth Observation

Date: 10 November 2021
Time: 12:00-13:00 CET
Presenter: Pierre-Philippe Mathieu and Φ-lab team, ESA
Link to the Zoom webinar: https://eumetsat.zoom.us/webinar/register/WN_LsJytpYpSLOkHD5ysDUvoQ
Slido for questions: www.Slido.com
Access code: #AI-EO

Recording to the webinar can be accessed through this link: https://www.youtube.com/watch?v=LsprpFlBszA

Learning from earth system observations: machine learning or data assimilation

Date: 3 November 2021
Time: 11:30-12:30 CET
Presenter: Alan Geer, ECMWF
Link to the Zoom webinar: https://eumetsat.zoom.us/j/84557996744?pwd=RmgrWHRTdFRQL3BCVlBCcW1SRFhIQT09
You will be able to ask questions via Sli.do. Please open it in a browser using the following link and code:
Slido for questions: www.Slido.com
Access code: #ESOML
Recording to the webinar can be accessed through this link: https://www.youtube.com/watch?v=VVv1xBLqtGI

Cloud Cover Nowcasting with Deep Learning

Date: 27 October 2021
Time: 12:00-13:00 CEST
Presenter: Léa Berthomier, Météo-France
Link to the Zoom Webinar: https://eumetsat.zoom.us/webinar/register/WN_a1m4rahVRce8CTB6uyVkXQ
Slido for questions: www.Slido.com
Access code: #cloud
Recording to the webinar can be accessed through this link: https://youtu.be/BUa1g8jjyDE

The ECMWF road map on Artificial Intelligence (AI) and Machine Learning (ML)

Date: 13 October 2021
Time: 12:00-13:00 CEST
Presenter: Peter Düben, ECMWF
Link to the Zoom Webinar: https://eumetsat.zoom.us/webinar/register/WN_8yCAFulmQB-DZ_cGVX2LJw
Slido for questions: www.Slido.com
Access code: #AI-ECMWF
Recording to the webinar can be accessed through this link: YouTube.

AI based on visible and infrared satellite images for Nowcasting at DWD, status and perspectives

Date: 29 September 2021
Time: 12:00-13:00 CES
Presenter: Richard Müller, DWD
Link to the Zoom Webinar: https://eumetsat.zoom.us/j/84009188041?pwd=QzdLUS80NUhRb3pkNXM4Qk01dlNMdz09
Slido for questions: www.Slido.com
Access code: #AIDWD
Recording to the webinar can be accessed through this link: YouTube

A neural-network based approach to generate synthetic visible satellite images for data assimilation

Date: 6 October 2021
Time: 12:00-13:00 CEST
Presenter: Leonhard Scheck, DWD
Link to the Zoom Webinar: https://eumetsat.zoom.us/j/84831741737?pwd=YkNzcDVBTXZreTR2N3AyS0U3SFlyQT09
Slido for questions: www.Slido.com
Access code: #AINN
Recording to the webinar can be accessed through this link: YouTube