MESA: Text-Driven Terrain Generation Using Latent Diffusion and Global Copernicus Data
Paper
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2504.07210
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Published
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2
Marcin Kluczek
mkluczek
AI & ML interests
Earth Observation (EO), Remote sensing
Recent Activity
posted
an
update
5 days ago
Expansion of Global and Dense Open Embeddings Dataset of Earth 🌍
We updated our previous embeddings release with three models MMEarth and DeCUR-S2, DeCUR-S1 of the Major TOM embeddings dataset, developed in collaboration with CloudFerro S.A. asterisk labs and Φ-lab, European Space Agency - ESA. Together with @mikonvergence , Jędrzej S. Bojanowski, we extend the open-access collection of open dataset of Copernicus embeddings built at global scale, providing dense coverage across the entire acquisition area of Sentinel-1 and Sentinel-2 sensors.
Total embedding resources after the update:
- 51 TB of AI-embeddings generated from processed Sentinel data,
- over 40 billion embedding vectors,
- processing of 147 TB of raw satellite data,
- analysis covering more than 15 million Sentinel-1 and Sentinel-2 scenes and more than 16 trillion pixels.
This project delivers open and free vectorized expansions of Major TOM datasets available on CREODIAS and Hugging Face, setting a new standard for embedding releases and enabling lightweight, scalable ingestion of Earth Observation (EO) data for countless applications.
Datasets:
https://huggingface.co/datasets/Major-TOM/Core-S2L2A-MMEarth
https://huggingface.co/datasets/Major-TOM/Core-S2L1C-DeCUR
https://huggingface.co/datasets/Major-TOM/Core-S1RTC-DeCUR
#EarthObservation #AI #CloudFerro #asterisklabs #ESA
published
a dataset
8 days ago
Major-TOM/Core-S2L1C-DeCUR
updated
a dataset
8 days ago
Major-TOM/Core-S2L1C-DeCUR
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