FAIR2Adapt — Sentinel-2 B02 reflectance on HEALPix DGGS (multiscale pyramid)
Mathematical and computer sciences (general)
### 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
### 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
Science and technology/Technology and engineering/Micro science/Nanotechnology
Climate change impacts, risks and adaptation
FAIR2Adapt — Sentinel-2 B02 reflectance on HEALPix DGGS (multiscale pyramid) Sentinel-2 Level-1C satellite observation converted to a HEALPix Discrete Global Grid System (DGGS) multiscale pyramid, covering a region in **Normandy, France** (Seine Valley, between Rouen and Paris)
Science and technology/Technology and engineering/IT-computer sciences
Sentinel-2 Level-1C satellite observation converted to a HEALPix Discrete Global Grid System (DGGS) multiscale pyramid, covering a region in **Normandy, France** (Seine Valley, between Rouen and Paris). ### 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.
Fouilloux, Anne. "FAIR2Adapt — Sentinel-2 B02 reflectance on HEALPix DGGS (multiscale pyramid)." ROHub. Feb 20 ,2026. https://w3id.org/ro-id/fdc1c071-76d7-44df-a565-8217ebcc59fe.
View Sentinel-2 data in FAIR2Adapt Dashboard
The Sentinel-2 Level-1C satellite observation can be converted to a HEALPix DGGS multiscale pyramid, enabling efficient visualization from global overview to 10m resolution.
The HEALPix DGGS multiscale pyramid allows for efficient visualization of Sentinel-2 Level-1C satellite data from global overview to 10m resolution.
The Sentinel-2 Level-1C satellite observation is converted to a HEALPix DGGS multiscale pyramid, covering a region in Normandy, France, with a spatial coverage of ~48.5°N–49.5°N, 0.5°E–1.5°E.
The HEALPix multiscale pyramid has 11 levels, with the finest level having a resolution of approximately 10 meters and the coarsest level having a resolution of approximately 10 kilometers.
Mean aggregation between levels is used for resampling in the HEALPix multiscale pyramid.
The dataset is stored in a Cloud-optimized Zarr format with nested HEALPix indexing on the WGS84 ellipsoid, enabling efficient data retrieval and visualization.
The Sentinel-2 Level-1C satellite observation was successfully converted to a HEALPix Discrete Global Grid System (DGGS) multiscale pyramid using the xhealpixify tool.
The dataset is machine-actionable, allowing for interactive visualization at any zoom level through the FAIR2Adapt dashboard.
I-ADOPT variable decomposition is applied to the metadata of the Sentinel-2 Level-1C satellite observation dataset.
The HEALPix Discrete Global Grid System (DGGS) can be applied to both ocean model outputs and Earth observation data, such as Sentinel-2 Level-1C satellite observations, for efficient visualization and analysis.
AIDA Claim 4: The dataset is machine-actionable, allowing for interactive visualization at any...
AIDA Claim 3: The dataset is stored in a Cloud-optimized Zarr format with nested HEALPix index...
AIDA Claim 8: The Sentinel-2 Level-1C satellite observation was successfully converted to a HE...
AIDA Claim 5: The HEALPix Discrete Global Grid System (DGGS) can be applied to both ocean mode...
AIDA Claim 7: Mean aggregation between levels is used for resampling in the HEALPix multiscale...
AIDA Claim 10: The Sentinel-2 Level-1C satellite observation can be converted to a HEALPix DGGS...
AIDA Claim 2: The HEALPix multiscale pyramid has 11 levels, with the finest level having a res...
AIDA Claim 9: I-ADOPT variable decomposition is applied to the metadata of the Sentinel-2 Leve...
AIDA Claim 1: The HEALPix DGGS multiscale pyramid allows for efficient visualization of Sentin...
AIDA Claim 6: The Sentinel-2 Level-1C satellite observation is converted to a HEALPix DGGS mul...