Error code:   ConfigNamesError
Exception:    RuntimeError
Message:      Dataset scripts are no longer supported, but found ssl4eo_eu_forest.py
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 66, in compute_config_names_response
                  config_names = get_dataset_config_names(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 161, in get_dataset_config_names
                  dataset_module = dataset_module_factory(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1031, in dataset_module_factory
                  raise e1 from None
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 989, in dataset_module_factory
                  raise RuntimeError(f"Dataset scripts are no longer supported, but found {filename}")
              RuntimeError: Dataset scripts are no longer supported, but found ssl4eo_eu_forest.py

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SSL4EO-EU-Forest

_{Sentinel-2 winter scene}

_{tree (green) segmentation}

_{Sentinel-2 summer scene}

_{tree (green) segmentation}

Introduction

The dataset is an add-on to the globally sampled SSL4EO-S12 pre-training dataset (https://doi.org/10.1109/MGRS.2023.3281651) where v1.1 is available at https://huggingface.co/datasets/embed2scale/SSL4EO-S12-v1.1 with downstream tasks in https://huggingface.co/datasets/embed2scale/SSL4EO-S12-downstream .

Data Characteristics

SSL4EO-EU-Forest assembles an additional downstream task (85 GB) for binary semantic segmentation of forest land cover as follows:

images/ sub-directory: It curates 16K spatial patches (264x264 pixels) of Sentinel-2 L2A imagery (UInt16 GeoTIFF, 12 bands upsampled to 10m pixel resolution) over European forests. Each geolocation contains up to four Sentinel-2 timestamps from all seasons (winter, spring, summer, fall) of year 2018. The cloud cover in each scene is below 10%.
masks/ sub-directory: Forest masks (0 = non-tree covered areas, 1 = broadleaved forest, 2 = coniferous forest; Byte GeoTIFF) have been derived from the 2018 HRL dataset (https://doi.org/10.2909/486f77da-d605-423e-93a9-680760ab6791) available through the Copernicus Land Monitoring Service, cf. https://land.copernicus.eu/en/products/high-resolution-layer-forests-and-tree-cover/dominant-leaf-type-2018-raster-10-m-europe-yearly .
Data of a geolocation are placed in numbered sub-directories (e.g. 0017618) of images/ and masks/, respectively. Each of those for the images/ directory contains four directories indicating the four seasons as per convention by Sentinel-2. For example, 20180520T094031_20180520T094033_T35VMH denotes the sensing start time as approx. May 20, 2018 at 9.41am UTC (spring scene) for geolocation defined by tile ID T35VMH (which the patch was cropped from). General details on Sentinel-2 products in https://sentiwiki.copernicus.eu/web/s2-products .

Spatial Coverage

Spatial Distribution of SSL4EO-EU-Forest

Access API

see https://github.com/cmalbrec/ssl4eo_eu_forest

Funding

This work was carried under the EvoLand project, cf. https://www.evo-land.eu . This project has received funding from the European Union's Horizon Europe research and innovation programme under grant agreement No. 101082130.

Citation

@misc{ssl4eo_eu_forest,
  author       = {Braham Ait Ali, Nassim and Albrecht, Conrad M},
  title        = {SSL4EO-EU Forest Dataset},
  year         = {2025},
  howpublished = {https://github.com/cmalbrec/ssl4eo_eu_forest},
  doi          = {10.5281/zenodo.17290776}
}

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