Use Cases

ii2030 Challenge: AI for Earth Observation. Who are the users?

Discover data usage scenarios for open machine learning ready Earth observation repositories like Radiant MLHub. In about one month, we will launch the inclusive innovation 2030 (ii2030) process, where key stakeholders will assemble to turn a systemic challenge into an opportunity for all of us. We will attempt to answer a critical question: “How might we ensure open access to high-quality machine learning (ML) ready Earth observation (EO) data on a sustainable basis?” The ii2030 challenge will support open repositories like Radiant MLHub, which hostsa collection of geospatial training datasets and ML models.