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Cannot get the config names for the dataset.
Error code:   ConfigNamesError
Exception:    ReadTimeout
Message:      (ReadTimeoutError("HTTPSConnectionPool(host='huggingface.co', port=443): Read timed out. (read timeout=10)"), '(Request ID: 409e75bf-554d-4e04-aa24-b45ae0718bab)')
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 996, in dataset_module_factory
                  return HubDatasetModuleFactory(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 591, in get_module
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                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/utils/file_utils.py", line 167, in cached_path
                  resolved_path = huggingface_hub.HfFileSystem(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/hf_file_system.py", line 198, in resolve_path
                  repo_and_revision_exist, err = self._repo_and_revision_exist(repo_type, repo_id, revision)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/hf_file_system.py", line 125, in _repo_and_revision_exist
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                File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
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                File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/hf_api.py", line 2816, in repo_info
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                File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
                  return fn(*args, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/hf_api.py", line 2673, in dataset_info
                  r = get_session().get(path, headers=headers, timeout=timeout, params=params)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/requests/sessions.py", line 602, in get
                  return self.request("GET", url, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/requests/sessions.py", line 589, in request
                  resp = self.send(prep, **send_kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/requests/sessions.py", line 703, in send
                  r = adapter.send(request, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/utils/_http.py", line 96, in send
                  return super().send(request, *args, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/requests/adapters.py", line 635, in send
                  raise ReadTimeout(e, request=request)
              requests.exceptions.ReadTimeout: (ReadTimeoutError("HTTPSConnectionPool(host='huggingface.co', port=443): Read timed out. (read timeout=10)"), '(Request ID: 409e75bf-554d-4e04-aa24-b45ae0718bab)')

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FABDEM V1.2 STAC Catalog

Dataset Description

FABDEM (Forest And Buildings removed Copernicus DEM) is a global elevation dataset that provides a comprehensive 30-meter resolution digital elevation model with building and tree height biases systematically removed from the Copernicus GLO 30 Digital Elevation Model (DEM). This enhanced dataset offers more accurate representation of bare-earth topography for hydrological modeling, flood risk assessment, and other geospatial applications where vegetation and built infrastructure can introduce significant elevation errors.

Dataset Summary

  • Resolution: 30 meters
  • Coverage: Global
  • Format: GeoTIFF tiles organized in STAC (SpatioTemporal Asset Catalog) format
  • Total Items: 19,013 tiles
  • Tile Coverage: Approximately 1° × 1° per tile
  • Version: 1.2
  • Data Type: Float32 elevation values in meters
  • Coordinate Reference System: WGS84 (EPSG:4326)

Source and Development

This dataset has been developed by the University of Bristol as part of research published in Environmental Research Letters. The methodology removes vegetation and building heights from the original Copernicus DEM using machine learning techniques and auxiliary datasets, resulting in a more accurate representation of underlying terrain elevations.

Dataset Structure

The catalog is organized hierarchically to facilitate efficient data discovery and access:

fabdem-v12/
├── catalog.json (root catalog)
├── tiles/
|   ├── N00E000-N10E010_FABDEM_V1-2/...
|   └── ...
├── stac_catalog/
│   ├── catalog.json (root catalog)
|   ├── N01E001_FABDEM_V1-2/...
|   └── ...

Each tile follows the naming convention and covers approximately 1 degree of latitude and longitude, with tiles grouped into 10° × 10° regional folders mirroring the original data distribution structure.

Key Features

  • STAC Compliance: Fully compliant with STAC specification for interoperability
  • On-demand Access: Eliminates need to download large ZIP archives

Usage

For detailed usage examples, refer to the included notebook stac_catalog_query.ipynb.

Data Quality and Limitations

  • Accuracy: Improved accuracy over original Copernicus DEM, particularly in forested and urban areas
  • Temporal Snapshot: Represents conditions circa 2020
  • Processing Artifacts: Some processing artifacts may remain in complex terrain
  • Polar Regions: Coverage limitations in extreme polar regions following Copernicus DEM constraints

Technical Specifications

Provenance and Attribution

This STAC catalog implementation is inspired by the work at https://github.com/cordmaur/fabdem-brazil-south and provides improved accessibility to the original FABDEM dataset distributed by the University of Bristol.

Original Data Source: https://data.bris.ac.uk/data/dataset/s5hqmjcdj8yo2ibzi9b4ew3sn

Citation: When using this dataset, please cite the original research paper and acknowledge the data source.

License and Terms of Use

Please refer to the original data distribution terms at the University of Bristol repository.

References

Hawker, Laurence, Peter Uhe, Luntadila Paulo, Jeison Sosa, James Savage, Christopher Sampson, and Jeffrey Neal. "A 30 m Global Map of Elevation with Forests and Buildings Removed." Environmental Research Letters 17, no. 2 (February 2022): 024016. https://doi.org/10.1088/1748-9326/ac4d4f.

Contact and Support

For questions about the original dataset methodology and creation, contact the University of Bristol research team. For issues specific to this STAC catalog implementation, please refer to the repository documentation and issue tracker.

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