{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Spatial Stack with Matt Forrest","title":"Mapping Every Field on Earth: Global Field Boundaries, Open Data, and GeoAI with Taylor Geospatial","html":"","width":"100%","height":180,"duration":2577,"description":"What does it actually take to map every agricultural field on Earth?In this episode, Matt sits down with Jen Marcus, Vice President of Strategic Innovation Programs at Taylor Geospatial, and Isaac Corley, Director of AI/ML Research at Taylor Geospatial and a torchgeo maintainer, the team behind Fields of The World (FTW).In late April they released the first globally consistent dataset of agricultural field boundaries, at 10m resolution, fully open on Source Cooperative. They dive deep into how it came together, from building the fiboa format to standardize ground truth across 24 countries, to running model inference across the entire planet, to shipping it with a confidence layer instead of pretending it was perfect. You'll hear honest perspective on what GeoAI can really do today and where the hype outpaces reality.In this episode, we cover:- Why a global field boundary map had never been done, and why no single organization was positioned to do it- The labeled-data problem and why models have to generalize to places like South America and Africa with little ground truth- The fiboa format and Chris Holmes's \"architectures of participation\"- How the Technical Fellows program turned open-source contributors into the core team- Running global inference efficiently with Sentinel-2 planting and harvest mosaics- Cloud-native outputs (GeoParquet, PMTiles, Zarr) you can stream with no backend- What's real vs. what's marketing in geospatial AI, and the ImageNet lesson- What's next: stakeholder feedback loops, higher-resolution imagery, and mapping new features beyond fieldsWhether you build ML pipelines, work with satellite data, or you've ever wondered how much of the planet is still genuinely unmapped, this conversation breaks it down without the buzzwords.LINKS:Fields of The World: https://fieldsofthe.worldDataset on Source Cooperative: https://source.coop/wherobots/fields-of-the-worldTaylor Geospatial: https://taylorgeospatial.orgJen MarcusLinkedIn:...","thumbnail_url":"https://img.transistorcdn.com/eQgCuZrC7zp58BwqV7sl3SCjjIPfOYXp-k4ce29LXQY/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS80ZjU3/N2JlMDJiYTFjOWY5/OWQ5NWQxYmZjMjMw/Yzg1ZC5qcGc.webp","thumbnail_width":300,"thumbnail_height":300}