🌍 NestEO Datasets

NestEO is an open initiative focused on curating large-scale, AI-ready Earth Observation (EO) datasets with a modular and hierarchical design. We aim to support a wide range of geospatial machine learning tasks including land cover mapping, vegetation monitoring, multimodal fusion, and more.

📦 What We Publish

• Gridded satellite imagery and derived metadata in Parquet format
• Hierarchical geospatial tile frameworks for scalable analysis
• Multisource, multimodal datasets spanning various EO sources
• Evaluation resources for dataset diversity, coverage, and representativeness

🔍 Focus Areas

• AI4EO (AI for Earth Observation)
• Geospatial ML infrastructure
• Large-scale EO data preprocessing
• Dataset benchmarking and diversity analysis

📚 Explore Our Datasets

• NestEO Prototype – Initial version demonstrating EO grid tiling and metadata integration

👥 Maintainers

This project is managed by independent researchers and collaborators.
Want to contribute or collaborate? Open an issue or reach out via GitHub or Hugging Face.