Challenges and opportunities for Ai mapping скачать в хорошем качестве

Challenges and opportunities for Ai mapping

In this episode I caught up with Toby to explore the Map Your Grid initiative at Open Energy Transition, an ambitious project funded by Breakthrough Energy to build a digital twin of the global electrical grid. While AI and machine learning are being used to detect substations, pylons, and transmission lines in satellite imagery, Toby explains why these approaches alone can’t deliver a complete, accurate map. We discussed the false positives, missing connections, and contextual details that challenge automated models, and how human validation and open-source mapping remain essential to producing reliable, global-scale infrastructure data.   / tobias-augspurger   https://mapyourgrid.org/ -    / @mapyourgrid   https://github.com/Lindsay-Lab/substa... https://arxiv.org/abs/2409.17363 Bio: Tobias Augspurger is a climate technology innovator and open-source advocate. At Open Energy Transition, he is accelerating the global energy transition by standardising electrical grid data within OpenStreetMap as part of the MapYourGrid initiative. With a PhD in atmospheric sciences and a background in aerospace engineering, Tobias combines technical expertise in remote sensing with inclusive collaboration. In his spare time, he works on OpenSustain.tech and ClimateTriage.com, connecting and promoting open projects to combat climate change and biodiversity loss 🚀 TIMELINE 00:19 Toby introduces himself and Open Energy Transition 01:05 Launch of Map Your Grid, funded by Breakthrough Energy 04:10 Creating a digital twin of the global electrical grid 06:45 Using satellite imagery to identify pylons, substations, and power lines 09:20 Challenges and limitations of AI in grid mapping 14:05 AI-generated data and the need for human validation 18:40 Why contextual information is critical for accuracy 22:50 Where to follow Toby’s work and closing remarks