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# π NestEO Datasets
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**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.
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### π¦ What We Publish
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- Gridded satellite imagery and derived metadata in Parquet format
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- Hierarchical geospatial tile frameworks for scalable analysis
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- Multisource, multimodal datasets spanning various EO sources
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- Evaluation resources for dataset diversity, coverage, and representativeness
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### π Focus Areas
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- AI4EO (AI for Earth Observation)
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- Geospatial ML infrastructure
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- Large-scale EO data preprocessing
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- Dataset benchmarking and diversity analysis
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### π Explore Our Datasets
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- [NestEO Prototype](https://huggingface.co/datasets/nesteo-datasets/nesteo-prototype) β Initial version demonstrating EO grid tiling and metadata integration
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### π₯ Maintainers
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This project is managed by independent researchers and collaborators.
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Want to contribute or collaborate? Open an issue or reach out via GitHub or Hugging Face.
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