This episode is sponsored by Bee Maps. Dr. Robin Cole joins Alastair to discuss the application of deep learning to satellite imagery and the growing community in this field. Robin shares his background in optical physics and how he transitioned into remote sensing and deep learning. Deep learning, a specific part of the AI family, uses neural networks to process satellite imagery and has seen significant advancements since 2012. The volume of satellite imagery requires automated means of analysis and indexing, and deep learning models have made this possible. There are standardized methods and libraries, such as PyTorch and TorchGeo, that facilitate deep learning in the geospatial domain. The community Robin has built focuses on sharing resources, knowledge, and expertise in deep learning and Earth observation. Show notes on the Geomob website, where you can also learn more about Geomob events and sign up for our monthly newsletter.