๐ Essential Background and Foundational Resources
๐ Books and Key Overviews
- Handbook of Geospatial Artificial Intelligence (Gao, Hu, Li, 2023) โ Comprehensive reference with 30+ topics, code examples, datasets.
- Deep Learning for the Earth Sciences (Camps-Valls, Tuia, Zhu, 2021) โ Earth data meets deep learning; ideal for understanding EO models.
- GeoAI and Human Geography (Xiao Huang, 2025) โ Connects GeoAI with environmental and human systems.
๐ Review Articles
- Boutayeb et al., 2024 โ A comprehensive survey of GeoAI methods and applications.
Week-by-Week Resources
Week 1: Introduction to Geospatial Foundation Models
- ๐ Development Seed Blog (2024): Using Foundation Models for Earth Observation
- ๐ NASA/IBM Release: Prithvi HLS Foundation Model
- โ๏ธ AWS ML Blog (2025): Deploying GeoFMs on AWS
Week 2: Working with Geospatial Data
- ๐ Book: Learning Geospatial Analysis with Python (4th ed., 2023)
- ๐งฐ TorchGeo Docs: https://pytorch.org/geo
- ๐ OpenGeoAI Toolkit: https://github.com/opengeos/geoai
Week 3: Loading & Using Foundation Models
- ๐ค Hugging Face Prithvi Models: https://huggingface.co/ibm-nasa-geospatial
- ๐ Demo Notebooks: Available on Hugging Face model cards.
- ๐งช AWS GeoFM Deployment Examples: Code and pipelines via GitHub.
- ๐ง IEEE GRSS Blog: Self-Supervised Geospatial Backbones
Week 4: Multi-modal & Generative Models
- ๐ฐ๏ธ Sensor Fusion via TorchGeo: Stack Sentinel-1/2 & others.
- ๐ Presto, Clay, DOFA Models: Explained in DevSeed & AWS blogs.
- ๐งช DiffusionSat Example: Medium Tutorial on Generating EO Images
Week 5: Model Adaptation & Evaluation
- ๐ Adapters for GeoFM: Explained via Development Seed blog.
- ๐ Evaluation Metrics: IoU, mAP, F1 from Boutayeb et al. (2024) + SpaceNet.
- ๐ Radiant Earth MLHub: https://mlhub.earth โ Public geospatial ML datasets and benchmarks.
Interactive Sessions
1๏ธโฃ PyTorch & TorchGeo Fundamentals
- TorchGeo docs & sample loaders (CRS, tile sampling, multispectral).
2๏ธโฃ Loading & Using Foundation Models
- Hugging Face GeoFM models (Prithvi, Clay) and notebook demos.
3๏ธโฃ Multi-modal & Sensor Fusion
- DOFA & Clay examples; stacking Sentinel data with TorchGeo.
4๏ธโฃ Model Adaptation & Evaluation
- Fine-tuning using TerraTorch and evaluation on public datasets.
5๏ธโฃ Scalable Analysis & Deployment
- ๐ Geospatial Data Analytics on AWS (2023)
- โ๏ธ AWS SageMaker + GeoFM repo (scalable inference)
๐ฆ General Tools & Repos
- ๐ง OpenGeoAI: https://github.com/opengeos/geoai
- ๐ฐ๏ธ IBM/NASA TerraTorch: https://github.com/ibm/terrapytorch
- ๐ Radiant MLHub Datasets: https://mlhub.earth
- ๐งช SpaceNet Challenges: https://spacenet.ai/challenges/
๐งญ Deployment and Project Resources
- ๐ง **Flask/Streamlit for D