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:
https://store.exeter.ac.uk/conferences-and-events/faculty-of-environment-science-and-economy/computer-science/ml4eo2-workshop
. Further information can be found on the event webpage using this
link: https://www.ml4eo.org
. 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
uncertainty.
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:
https://ml4eo.org/call-for-abstracts
This event is supported by the University of Exeter via the Global
Systems Institute (GSI) and the Environmental Intelligence Research
Network.
Links & contact:
ML4EO 2024 webpages:
https://www.ml4eo.orghttps://ml4eo.org/
Registration:
https://store.exeter.ac.uk/conferences-and-events/faculty-of-environment-science-and-economy/computer-science/ml4eo2-workshop
Abstract Submission:
https://cmt3.research.microsoft.com/ML4E02024
Contact: Please contact the ML4EO Organising Committee using this
email address:
a.laskey@exeter.ac.uk