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Datasets:
wangyi111
/
Copernicus-Pretrain

Tasks:
Image Classification
Image Feature Extraction
Modalities:
Geospatial
Size:
10M<n<100M
ArXiv:
Tags:
earth-observation
remote-sensing
foundation-model
pretrain
self-supervised-learning
sentinel
License:
Dataset card Files Community
1
Dataset Viewer
The dataset viewer is not available for this subset.
Cannot get the split names for the config 'default' of the dataset.
Exception:    SplitsNotFoundError
Message:      The split names could not be parsed from the dataset config.
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 299, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/parquet/parquet.py", line 60, in _split_generators
                  self.info.features = datasets.Features.from_arrow_schema(pq.read_schema(f))
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pyarrow/parquet/core.py", line 2325, in read_schema
                  file = ParquetFile(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pyarrow/parquet/core.py", line 318, in __init__
                  self.reader.open(
                File "pyarrow/_parquet.pyx", line 1470, in pyarrow._parquet.ParquetReader.open
                File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
              pyarrow.lib.ArrowInvalid: Parquet magic bytes not found in footer. Either the file is corrupted or this is not a parquet file.
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 65, in compute_split_names_from_streaming_response
                  for split in get_dataset_split_names(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 353, in get_dataset_split_names
                  info = get_dataset_config_info(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 304, in get_dataset_config_info
                  raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
              datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.

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Dataset Card for Copernicus-Pretrain

Copernicus-Pretrain 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 to the whole Sentinel series.

Dataset Details

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

Related Sources

License

CC-BY-4.0.

Citation 

@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}, 
}
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