Datasets:
license: cc0-1.0 task_categories: - image-segmentation language: - en tags: - earth-observation - remote-sensing - sentinel-2 - multi-spectral - satellite - geospatial pretty_name: cloudsen12 size_categories: - 100K<n<1M
CloudSEN12+ is a significant extension of the CloudSEN12 dataset, which doubles the number of expert-reviewed labels, making it, by a large margin, the largest cloud detection dataset to date for Sentinel-2. All labels from the previous version have been curated and refined, enhancing the dataset's trustworthiness. This new release is licensed under CC0, which puts it in the public domain and allows anyone to use, modify, and distribute it without permission or attribution.
Data Folder order
The CloudSEN12+ dataset is organized into train, val, and test splits. The images have
been padded from 509x509 to 512x512 and 2000x2000 to 2048x2048 to ensure that the patches are divisible by 32. The padding is filled with zeros in the left and bottom sides of the image. For
those who prefer traditional storage formats, GeoTIFF files are available in our ScienceDataBank repository.
CloudSEN12+ spatial coverage. The terms p509 and p2000 denote the patch size 509 × 509 and 2000 × 2000, respectively. ‘high’, ‘scribble’, and ‘nolabel’ refer to the types of expert-labeled annotations
Data Structure
We use .mlstac format to store the data in HugginFace and GeoTIFF for ScienceDataBank.
| Index | Name | Scale | Wavelength | Description |
|---|---|---|---|---|
| 0 | B1 | 0.0001 | 443.9 nm (S2A)/442.3 nm (S2B) | Aerosols. |
| 1 | B2 | 0.0001 | 496.6 nm (S2A)/492.1 nm (S2B) | Blue. |
| 2 | B3 | 0.0001 | 560 nm (S2A)/559 nm (S2B) | Green. |
| 3 | B4 | 0.0001 | 664.5 nm (S2A)/665 nm (S2B) | Red. |
| 4 | B5 | 0.0001 | 703.9 nm (S2A)/703.8 nm (S2B) | Red Edge 1. |
| 5 | B6 | 0.0001 | 740.2 nm (S2A)/739.1 nm (S2B) | Red Edge 2. |
| 6 | B7 | 0.0001 | 782.5 nm (S2A)/779.7 nm (S2B) | Red Edge 3. |
| 7 | B8 | 0.0001 | 835.1 nm (S2A)/833 nm (S2B) | NIR. |
| 8 | B8A | 0.0001 | 864.8 nm (S2A)/864 nm (S2B) | Red Edge 4. |
| 9 | B9 | 0.0001 | 945 nm (S2A)/943.2 nm (S2B) | Water vapor. |
| 10 | B10 | 0.0001 | 1373.5 nm (S2A)/1376.9 nm (S2B) | Cirrus. |
| 11 | B11 | 0.0001 | 1613.7 nm (S2A)/1610.4 nm (S2B) | SWIR 1. |
| 12 | B12 | 0.0001 | 2202.4 nm (S2A)/2185.7 nm (S2B) | SWIR 2. |
| 13 | CM1 | 1 | - | Expert-labeled image. |
| 14 | CM2 | 1 | - | UnetMobV2-labeled image. |
Folder Structure
The fixed/ folder contains high and scribble labels, which have been improved in this new version. These changes have already been integrated.
The demo/ folder contains examples illustrating how to utilize the models trained with CLoudSEN12 to estimate the hardness and trustworthiness indices.
The images/ folder contains the CloudSEN12+ imagery
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Citation
Cooming soon!