Mon 24 & Tue 25 June 2024
University of Exeter, XFi Building, Exeter
Thank you to all the participants!
See you next year!
Mon 24 & Tue 25 June 2024
University of Exeter, XFi Building, Exeter
Thank you to all the participants!
See you next year!
Recent years have witnessed a dramatic increase in the acquisition of remote sensing observations from satellites, aircraft, 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 economic and social benefits, identifying the optimal approaches for handling and analysing these large datasets remains a challenge for both academia and industry. Recent breakthroughs in artificial intelligence and machine learning 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 workshop will bring together remote sensing researchers, data science experts, and industry practitioners to reflect on the state of the art in remote sensing and to identify the most promising directions for future innovation. Hosted at the University of Exeter, the event is jointly targeted at academics, the public sector, and industrial innovators. It will build links and stimulate new ideas, developing cross-sectoral collaborations and research proposals to address specific global challenges.
The event will include presentations, panel discussions and workshop sessions that will:
1. Facilitate the sharing of scientific discoveries, methods, and industry perspectives
2. Explore emerging applications and new opportunities for remote sensing and machine learning
3. Foster collaborations, build networks, and share opportunities.
The event is hosted by the University of Exeter with support from the Institute of Data Science and Artificial Intelligence, the Global Systems Institute and the Joint Centre of Excellence in Environmental Intelligence.
The workshop has ended!
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