Resources Hub
Your comprehensive guide to emerging tools, datasets, organizations, and resources shaping the future of geospatial AI.
Foundation Models
Latest AI models and architectures
Platforms & Tools
Cloud platforms and development tools
Datasets
Satellite imagery and geospatial data
Organizations
Leading companies and research institutions
Research Papers
Latest publications and breakthroughs
Learning Resources
Courses, tutorials, and documentation
Foundation Models & AI Architectures
Cutting-edge models transforming geospatial intelligence
Revolutionary foundation model for global-scale Earth observation analysis with unprecedented accuracy in mapping and monitoring.
Enterprise-grade platform combining AI, cloud computing, and satellite data for large-scale environmental analysis.
Advanced multimodal models specifically designed for temporal analysis of satellite imagery time series.
Specialized foundation models for analyzing satellite image time series with advanced spatiotemporal understanding.
Platforms & Development Tools
Essential platforms and tools for geospatial AI development
Cloud-Native Platforms
Planetary-scale platform for Earth science data analysis with petabyte-scale datasets and cloud computing.
Cloud-based platform providing access to satellite imagery through APIs with on-the-fly processing capabilities.
Specialized platform for agricultural monitoring using satellite data and AI-powered analytics.
Development Tools & APIs
SpatioTemporal Asset Catalog API - the new standard for Earth observation data discovery and access.
Essential Python libraries for geospatial data processing and analysis in AI workflows.
PyTorch domain library for geospatial data, providing datasets, transforms, and pre-trained models.
Datasets & Data Sources
High-quality datasets for training and research
Foundation Model Training Datasets
Massive dataset of satellite imagery embeddings designed for foundation model training and fine-tuning.
Complete archive of Copernicus Sentinel satellite data with cloud-based access and processing capabilities.
Specialized Application Datasets
Comprehensive agricultural datasets for crop type mapping and yield prediction using satellite imagery.
Real-time and historical fire detection data from multiple satellite sources for disaster monitoring.
40-year global dataset of surface water changes derived from Landsat imagery using advanced algorithms.
Leading Organizations
Companies and institutions driving geospatial AI innovation
Technology Companies
Google DeepMind
AI Research & Foundation Models
Key Contributions:
- AlphaEarth Foundations model
- Satellite Embedding Dataset
- Earth Engine platform
Microsoft
Cloud Computing & AI Platforms
Key Contributions:
- Planetary Computer Pro
- Azure AI for Earth
- STAC API implementation
Pixxel
Hyperspectral Satellite Imagery
Key Contributions:
- Hyperspectral satellite constellation
- AI-powered analytics platform
- Environmental monitoring solutions
Research Institutions
NASA
Space Agency & Earth Science
Key Programs:
- NASA Harvest (agriculture)
- FIRMS fire monitoring
- Earth science data systems
European Space Agency (ESA)
Copernicus Program
Key Programs:
- Copernicus Sentinel satellites
- Climate Change Initiative
- Open data policies
Latest Research Papers
Cutting-edge research shaping the field
Geospatial Reasoning with Generative AI and Multiple Foundation Models
Comprehensive overview of how generative AI and foundation models are revolutionizing geospatial reasoning and analysis capabilities.
TAMMs: Temporal-Aware Multimodal Model for Satellite Imagery
Novel architecture for processing satellite imagery time series with enhanced temporal understanding and multimodal capabilities.
Spatiotemporal Foundation Models for Satellite Image Time Series
Comprehensive study on developing foundation models specifically designed for spatiotemporal satellite imagery analysis.
Learning Resources
Courses, tutorials, and educational materials
Google Earth Engine Guides
Comprehensive tutorials and documentation for mastering Google Earth Engine platform and APIs.
Microsoft Learn: AI for Earth
Structured learning paths for using Azure AI services in environmental and geospatial applications.
STAC Specification Tutorial
Complete guide to understanding and implementing SpatioTemporal Asset Catalog (STAC) specifications.
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