{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"In-Orbit","title":"State of AI for Earth Observation","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/ac54038e\"></iframe>","width":"100%","height":180,"duration":2549,"description":"In today’s episode, we’re going to be discussing how Artificial Intelligence can be used to enhance Earth Observation.\nMost 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.\nBig 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.\nOur host Dallas Campbell is joined in the studio by Dr. Freddie Kalaitzis from the University of Oxford, James Parr, Founder of Trillium Technologies, and Maral Bayaraa from the Satellite Applications Catapult.\nSatellite Applications Catapult: Website, Twitter, LinkedIn, Facebook\nTrillium Technologies: Website, Twitter, LinkedIn\nUniversity of Oxford: Website, Twitter, LinkedIn, Facebook","thumbnail_url":"https://img.transistorcdn.com/Ss1uGA8B2QLsdyy2w4XrSYANX11Yw-HVGInhI5vAzxw/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9zaG93/LzI1NzUyLzE2MzU3/NzUzMjItYXJ0d29y/ay5qcGc.webp","thumbnail_width":300,"thumbnail_height":300}