Maya4/PT4
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🏢 Maya4
🌌 Maya4
Maya4 is a project dedicated to curating and providing multi-level intermediate SAR representations from Sentinel-1 acquisitions, spanning the entire chain from Level 0 to Level 1.
The name Maya4 draws inspiration from the Māyā veil in philosophy, where reality is hidden behind successive layers—just as radar echoes undergo transformations before forming a final SAR image.
🚀 Mission
- 📡 Curate and structure Sentinel-1 Stripmap SAR data
- 🧩 Provide intermediate signal representations for research & ML pre-training
- ☁️ Enable scalable, cloud-native access in Zarr format
📦 Pre-Training Dataset Spaces
Maya4 provides Pre-Training (PT) dataset exposing intermediate SAR signal states in a modern (Zarr Format):
| 📂 Dataset Split | 📊 Contents | 🛰️ Acquisition Mode | 💾 Size |
|---|---|---|---|
| pt1 | LINK | Stripmap | 17 TB |
| pt2 | LINK | Stripmap | 17 TB |
| pt3 | LINK | Stripmap | 17 TB |
| pt4 | LINK | Stripmap | 17 TB |
| Total | — | — | 68 TB |
📊 Processing Levels
A major characteristic of this dataset lies in its sharding multi-level organisation:
| 🌐 Level | 🔤 Abbrev. | 📝 Description | 🎯 Purpose / Value |
|---|---|---|---|
| 📡 Raw | raw | Unprocessed radar echoes as recorded by Sentinel-1 | Baseline data; allows full custom SAR processing |
| 🎚️ Range Compressed | rc | Echoes compressed in the range dimension via matched filtering | Improves SNR; isolates scatterers along range |
| 🎯 Range Cell Migration Corrected | rcmc | Motion-compensated echoes with corrected range migration | Preserves geometric fidelity; enables proper azimuth focusing |
| 🖼️ Azimuth Compressed | ac | Fully focused SAR image in slant-range geometry | Standard Level-1 product; interpretable imagery |
🌍 PT Use Cases
The following use cases can be addressed with Maya4:
🙏 Acknowledgements
- 🛰️ Data provided by the Copernicus Sentinel-1 mission (ESA)
- 🏢 Curated and maintained by the Maya4 organization
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