https://w3id.org/np/RAoo5AuvTqXvH4oOL-76z_zI_UWb4zgCJJYNcFpkMOQSw
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### Dataset
- **Variable**: Band 02 (Blue, 490nm) top-of-atmosphere reflectance
- **Spatial coverage**: Normandy, France (~48.5°N–49.5°N, 0.5°E–1.5°E)
- **Grid**: HEALPix multiscale pyramid (11 levels)
- Finest: level 20 (nside=1,048,576, ~10m resolution, 208M cells)
- Coarsest: level 10 (nside=1,024, ~10km resolution)
- Resampling: mean aggregation between levels
- **Format**: Cloud-optimized Zarr with nested HEALPix indexing on WGS84 ellipsoid
### FAIRification
- Satellite imagery converted to DGGS using [xhealpixify](https://github.com/IAOCEA/xhealpixify)
- Machine-actionable: `schema:ViewAction` links the dataset to the [FAIR2Adapt dashboard](https://fair2adapt.github.io/riomar-dashboard/) for interactive visualization at any zoom level
- Metadata enriched with [I-ADOPT](https://i-adopt.github.io/) variable decomposition
### Context
Part of the [FAIR2Adapt](https://fair2adapt.eu) project, demonstrating that the HEALPix DGGS approach works for both ocean model outputs and Earth observation data. The multiscale pyramid enables efficient visualization from global overview to full 10m resolution.""";
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