S3 EP1: State of AI for Earth Observation

In this episode, we’re discussing how Artificial Intelligence can be used to enhance Earth Observation.

Most of the images generated by satellites will never be seen by human eyes. There simply aren’t enough humans on Earth—let alone trained experts—to sift through the TBs of imagery generated daily and extract valuable intelligence and insight.

Big data and AI approaches can be used for innovative and cost-effective management and processing of data, learning to recognise patterns and find correlations that humans would otherwise miss. New insights unlocked in this way offer the potential to deliver value to a range of users across markets such as finance, insurance, transport, and agriculture.

Dallas presents some of television’s most popular factual programmes, his immersive documentaries lift the curtain on our human planet, giving audiences of all ages and backgrounds an exclusive backstage pass to some of the world’s most fascinating stories, ideas and places.

Beyond television, Dallas is an author, speaker, and ambassador for STEM education. He works closely with several major outreach initiatives which help kids across the UK think creatively about technology and innovation. He works internationally with the British Council’s FameLab project, designing and running workshops for early career academics, helping them hone their science communication skills.

Resources

• White Paper: State of AI for Earth Observation – authored by Freddie Kalaitzis, Maral Bayaraa, and Cristian Rossi
• Find out more about the evolution of the Earth Observation data market and discover guidance to help you build solutions and access the data you need in our ‘Earth Observation Data Market‘ blog.

Get in Touch

If you’d like to contact us about any episode of In-Orbit, collaboration opportunities, or to find out more about how we can help your business, please email marketing@sa.catapult.org.uk

• Satellite Applications Catapult: Twitter, LinkedIn, Facebook
• Trillium Technologies: Website, Twitter, LinkedIn
• University of Oxford: Website, Twitter, LinkedIn, Facebook