Advancing AI systems that can perceive, reason, and act in complex Earth and environmental systems — through open tutorials, research code, papers, and community tools.
The thematic areas that define our work at the frontier of GeoAI
Building agent-based systems that can autonomously process, reason, and act on geospatial data to advance scientific discovery.
Adapting and evaluating large pretrained models for satellite imagery, land cover mapping, and environmental monitoring tasks.
Fusing satellite imagery, street-view photos, maps, and temporal sequences for richer geospatial understanding.
Advancing spatial thinking through GWR, spatial query, and AI-augmented geographic information systems.
Street-view AI for damage assessment, urban building analytics, and human-centric sensing of built environments.
Open science practices, reproducibility, and trustworthy deployment of AI systems for spatial and environmental applications.
A live index of everything we build — fetched in real time from GitHub
A living, curated list of the best tools, datasets, papers, research groups, courses, and funding opportunities at the intersection of autonomous AI and geospatial science.
Browse the List ↗We build AI systems that can perceive, reason, and act in complex Earth and environmental systems with minimal human intervention — bringing together tutorials, open-source code, research projects, and papers at the frontier of autonomous geospatial intelligence.
— AutonomousGeoAI4Science Mission · United States of America