GeoAI Resource Hub
A curated collection of resources for GeoAI, Earth observation, remote sensing, geospatial artificial intelligence, and environmental research.
Collections
Explore GEX Resources
Browse curated resources organized by data, models, software, artificial intelligence, GeoAI agents, and learning materials.
Datasets
Satellite and aerial imagery, LiDAR, land cover, agriculture, forests, biomass, protected lands, socioeconomic data, and benchmark datasets.
Explore datasets →GeoAI Agents
Conversational geospatial systems, AI-assisted GIS interfaces, research agents, and emerging agentic GeoAI applications.
Explore GeoAI agents →Geospatial Foundation Models
Earth observation, multimodal and multisensor foundation models, vision foundation models, geospatial embeddings, and evaluation resources.
Explore geospatial foundation models →AI Tools
Machine learning, deep learning, segmentation, model interpretation, explainable AI, image evaluation, and GPU-accelerated computing tools.
Explore AI tools →GIS Tools
GIS software, Earth observation platforms, spatial analysis, web mapping, data portals, and geospatial visualization tools.
Explore GIS tools →Tutorials
Courses, tutorials, documentation, and practical learning resources for GIS, remote sensing, GeoAI, machine learning, LiDAR, and spatial analysis.
Explore tutorials →About
What is GEX?
GEX stands for GeoAI Earth eXplore.
GEX is an open resource hub designed to make high-quality GeoAI resources easier to discover, organize, and share.
The project covers Earth observation, remote sensing, GIS, geospatial artificial intelligence, geospatial foundation models, spatial analysis, environmental applications, and emerging GeoAI technologies.
Community
Community Participation
GEX welcomes contributions from the GeoAI, remote sensing, GIS, Earth science, and artificial intelligence communities.
Add Resources
Suggest useful datasets, models, tools, tutorials, or emerging GeoAI resources.
Improve Content
Help improve descriptions, classifications, documentation, and resource organization.
Maintain Quality
Report broken links, outdated information, or resources that should be updated.