Additional Resources¶
Explore these resources to deepen your understanding of IBM Geospatial Studio and related technologies.
📚 Official Documentation¶
Geospatial Studio Documentation¶
- Geospatial Studio Docs - Complete platform documentation
- Geospatial Studio Toolkit SDK - Python SDK reference and examples
- GitHub - Geospatial Studio - Main platform repository
- GitHub - Geospatial Studio Core - Core backend services
- GitHub - Geospatial Studio UI - Frontend application
- GitHub - Geospatial Studio Toolkit - Python SDK source
🤖 Foundation Models & AI¶
IBM Geospatial Foundation Models¶
- Prithvi on Hugging Face - Pre-trained geospatial models
- Prithvi Paper - Research paper on Prithvi foundation model
- IBM Granite Models - IBM's family of foundation models
Terratorch - Training Framework¶
- Terratorch Documentation - Geospatial model training library
- Terratorch GitHub - Source code and examples
- Terratorch Paper - Research on geospatial model training
🛰️ Geospatial Data Sources¶
Satellite Data¶
- NASA Harmonized Landsat Sentinel-2 (HLS) - Combined Landsat 8/9 and Sentinel-2 data
- Sentinel Hub - Cloud-based satellite imagery platform
- Copernicus Open Access Hub - Free Sentinel satellite data
- USGS Earth Explorer - Landsat and other satellite data
Geospatial Datasets¶
- HLS Burn Scars Dataset - Training data for burn scar detection
- HLS Flood Dataset - Flood mapping training data
- GeoBench - Benchmark for geospatial models
🔧 Technical Tools & Libraries¶
Geospatial Processing¶
- GDAL - Geospatial Data Abstraction Library
- Rasterio - Python library for raster data
- GeoPandas - Python library for vector data
- QGIS - Open-source GIS desktop application
Machine Learning¶
- PyTorch - Deep learning framework
- PyTorch Lightning - High-level PyTorch wrapper
- MLflow - ML lifecycle management platform
- Ray Tune - Hyperparameter optimization
Visualization¶
- GeoServer - Open-source geospatial server
- Leaflet - JavaScript mapping library
- Matplotlib - Python plotting library
📖 Learning Resources¶
Tutorials & Workshops¶
- IBM Granite Workshop - Similar workshop format for Granite models
- Docling Workshop - Document processing workshop
- Terratorch Tutorials - Model training tutorials
Courses & Books¶
- Coursera - GIS Specialization - Geographic Information Systems courses
- Deep Learning for Coders - Practical deep learning course
- Python for Geospatial Data Analysis - O'Reilly book
🌍 Community & Support¶
Open Source Communities¶
- OSGeo - Open Source Geospatial Foundation
- PyData - Python data science community
- Hugging Face - AI model sharing platform
📰 Stay Updated¶
Blogs & News¶
- Towards Data Science - Geospatial - Medium publication
- GIS Lounge - GIS news and tutorials
- Sentinel Hub Blog - Satellite imagery insights
Conferences¶
- FOSS4G - Free and Open Source Software for Geospatial
- AGU Fall Meeting - American Geophysical Union
- NeurIPS - Neural Information Processing Systems
🎓 Academic Papers¶
Key Publications¶
- Foundation Models for Generalist Geospatial AI - Prithvi paper
- Terratorch: A Framework for Geospatial Model Training - Terratorch paper
- Segment Anything Model - SAM foundation model
- Vision Transformers for Remote Sensing - ViT applications
📦 Example Datasets¶
Pre-computed Examples¶
The workshop includes several pre-computed examples you can explore:
- Flood Detection - Porto Alegre, Brazil (May 2024)
- Burn Scar Mapping - Park Fire, California (August 2024)
- Multi-temporal Analysis - Assam, India flooding (July 2024)
These examples are available in the Studio UI and can be accessed through the SDK.
🎯 Next Steps¶
Ready to continue your journey? Check out:
- Troubleshooting Guide - Common issues and solutions
- FAQ - Frequently asked questions
- Next Steps - Where to go from here