| --- |
| license: cc-by-4.0 |
| size_categories: |
| - 10M<n<100M |
| task_categories: |
| - image-classification |
| - image-feature-extraction |
| pretty_name: Copernicus-Pretrain |
| tags: |
| - earth-observation |
| - remote-sensing |
| - foundation-model |
| - pretrain |
| - self-supervised-learning |
| - sentinel |
| --- |
| |
| # Dataset Card for Copernicus-Pretrain |
|
|
| <!-- Provide a quick summary of the dataset. --> |
|
|
| [Copernicus-Pretrain](https://github.com/zhu-xlab/Copernicus-FM/tree/main) is a large-scale EO pretraining dataset with 18.7M aligned images covering all major Sentinel missions (S1,2,3,5P). |
|
|
| *Officially named **Copernicus-Pretrain**, also referred to as SSL4EO-S ("S" means Sentinel), as an extension of [SSL4EO-S12](https://github.com/zhu-xlab/SSL4EO-S12) to the whole Sentinel series.* |
|
|
| ## Dataset Details |
|
|
| <!-- Provide a longer summary of what this dataset is. --> |
|
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| Copernicus-Pretrain contains 18.7M aligned imagery from all major Sentinel missions in operation (Sentinel-1 SAR, Sentinel-2 multispectral reflectance, Sentinel-3 multispectral radiance, and Sentinel-5P atmospheric variables), as well as an elevation product Copernicus DEM GLO-30. |
| The images are organized into ~310K regional grids (0.25°x0.25°, consistent with ERA5), densely covering the whole land surface and near-land ocean with eight distinct Sentinel modalities. |
|
|
| | | Modality | GSD | Image size | # Grid cells | # Patches | # Timestamps | # Total images | |
| |-----------|----------------------|-------|-----------------------|--------------|-----------|--------------|----------------| |
| | Sentinel-1 GRD | SAR | 10 m | 264×264×2 | 247,723 | 1,067,267 | ~4 | 4,227,387 | |
| | Sentinel-2 TOA | MS | 10 m | 264×264×13 | 247,723 | 1,067,267 | ~4 | 4,218,065 | |
| | Sentinel-3 OLCI | MS | 300 m | 96×96×21 | 281,375 | 281,375 | ~8 | 2,189,561 | |
| | Sentinel-5P CO | atmos.| 1 km | 28×28 | 306,097 | 306,097 | 1–12 | 2,104,735 | |
| | Sentinel-5P NO2 | atmos.| 1 km | 28×28 | 291,449 | 291,449 | 1–12 | 1,752,558 | |
| | Sentinel-5P SO2 | atmos.| 1 km | 28×28 | 262,259 | 262,259 | 1–12 | 1,366,452 | |
| | Sentinel-5P O3 | atmos.| 1 km | 28×28 | 306,218 | 306,218 | 1–12 | 2,556,631 | |
| | Copernicus DEM | elevation | 30 m | 960×960 | 297,665 | 297,665 | 1 | 297,665 | |
| | **Copernicus-Pretrain** | | | | **312,567** | **3,879,597** | | **18,713,054** | |
|
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|
|
| ## Related Sources |
|
|
| <!-- Provide the basic links for the dataset. --> |
|
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| - **Repository:** https://github.com/zhu-xlab/Copernicus-FM |
| - **Paper:** https://arxiv.org/abs/2503.11849 |
|
|
| ## License |
|
|
| CC-BY-4.0. |
|
|
| ## Citation |
|
|
| <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. --> |
|
|
| ``` |
| @misc{wang2025unifiedcopernicusfoundationmodel, |
| title={Towards a Unified Copernicus Foundation Model for Earth Vision}, |
| author={Yi Wang and Zhitong Xiong and Chenying Liu and Adam J. Stewart and Thomas Dujardin and Nikolaos Ioannis Bountos and Angelos Zavras and Franziska Gerken and Ioannis Papoutsis and Laura Leal-Taixé and Xiao Xiang Zhu}, |
| year={2025}, |
| eprint={2503.11849}, |
| archivePrefix={arXiv}, |
| primaryClass={cs.CV}, |
| url={https://arxiv.org/abs/2503.11849}, |
| } |
| ``` |
