Published September 14, 2025
| Version v1
Dataset
Open
Cloud Coverage-Annotated Sentinel-2 Dataset (Based on SEN12MS-CR)
Description
This dataset provides cloud-percentage annotated Sentinel-2 image tiles derived from the SEN12MS-CR dataset. For each cloudy Sentinel-2 image tile, a continuous cloud-coverage value (0–100 %) was computed and recorded, together with the acquisition season and, a reference clear-sky image tile. All metadata are stored in a single master CSV file to facilitate transparency, ease of access and reproducibility.
The dataset contains:
- Cloud-obstructed Sentinel-2 images grouped by season (Spring, Summer, Autumn, Winter).
- Corresponding clear reference images.
- A master CSV file linking each image to its computed cloud-coverage percentage and season.
This resource enables the benchmarking and evaluation of cloud-removal methods, geospatial scene reconstruction, and related machine learning studies under varying cloud conditions.
Files
cloud_coverage.csv
Files
(15.4 GB)
| Name | Size | Download all |
|---|---|---|
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md5:723f3c0eb3f04f2243ec01168ee1bb64
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646.0 kB | Preview Download |
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md5:45fa1aa712e498be23a3c01979236eeb
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15.4 GB | Preview Download |
Additional details
Related works
- Is derived from
- Dataset: 10.14459/2020mp1554803 (DOI)
References
- @article{sen12mscr, title = {{Multisensor Data Fusion for Cloud Removal in Global and All-Season Sentinel-2 Imagery}}, author = {Ebel, Patrick and Meraner, Andrea and Schmitt, Michael and Zhu, Xiao Xiang}, journal = {IEEE Transactions on Geoscience and Remote Sensing}, year = {2020} publisher = {IEEE} }