Machine Learning for Earth Observation 2024 Call for Papers

Call for Participation 
Machine Learning for Earth Observation 2024 

We would like to invite you to participate in the
Machine Learning for Earth Observation Workshop 2024. 

This workshop will explore how machine learning can help get the most
 out of remote sensing observations for many application domains. The
 event will take place on Monday 24th and Tuesday 25th June 2024 at
 University of Exeter (Streatham Campus). Please use this link to
 register and purchase a ticket:

 . Further information can be found on the event webpage using this

 . A detailed schedule will be circulated closer to the event.


Recent years have witnessed a dramatic increase in the acquisition of
 remote sensing observations from satellite, aircraft and drone-based
 sensors, and in-situ devices. Technological advances have led to
 improvements in measurement resolution and precision, which is
 shifting the paradigm of Earth observation from data scarcity to data
 abundance. While these data have enormous potential for helping us
 achieve a range of global challenges, such as meeting the United
 Nations Sustainable Development Goals, identifying the optimal
 approaches for handling and analysing these ever-growing datasets
 remains a challenge. Recent breakthroughs in AI/ML offer promising
 solutions to these challenges, including automated identification and
 extraction of key observations, predicting future trends, identifying
 key environmental factors, and dealing with noisy signals under

This is the second ML4EO workshop following a successful pilot event
 in 2023. The broad aim is to bring together remote sensing
 researchers, data science and AI experts, and industrial/third sector
 partners to build links and share ideas. We hope the workshop will
 promote further collaboration and help develop research proposals to
 address specific global challenges.

There are several different ways to participate in this event:

Attend the workshop as a delegate 

Oral presentation (e.g. 10 mins + 5 mins discussion)

Poster presentation (ideal
for preliminary results or "works in progress") 

Chairing/contributing to a thematic discussion session 

Please use the Registration link below to register
for the event and purchase a ticket.
If you would like to give an oral presentation or submit a poster,
please submit a title/abstract using the Abstract Submission link: 

This event is supported by the University of Exeter via the Global
Systems Institute (GSI) and the Environmental Intelligence Research

Links & contact: 

ML4EO 2024 webpages:


Abstract Submission:

Contact: Please contact the ML4EO Organising Committee using this
email address: