Datasets:

links-ads
/

fabdem-v12

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
type: string
stac_version: string
id: string
title: string
description: string
license: string
extent: struct<spatial: struct<bbox: list<item: list<item: double>>>, temporal: struct<interval: list<item:  (... 21 chars omitted)
  child 0, spatial: struct<bbox: list<item: list<item: double>>>
      child 0, bbox: list<item: list<item: double>>
          child 0, item: list<item: double>
              child 0, item: double
  child 1, temporal: struct<interval: list<item: list<item: string>>>
      child 0, interval: list<item: list<item: string>>
          child 0, item: list<item: string>
              child 0, item: string
providers: list<item: struct<name: string, roles: list<item: string>, url: string>>
  child 0, item: struct<name: string, roles: list<item: string>, url: string>
      child 0, name: string
      child 1, roles: list<item: string>
          child 0, item: string
      child 2, url: string
summaries: struct<gsd: list<item: int64>>
  child 0, gsd: list<item: int64>
      child 0, item: int64
links: list<item: struct<rel: string, href: string, type: string>>
  child 0, item: struct<rel: string, href: string, type: string>
      child 0, rel: string
      child 1, href: string
      child 2, type: string
to
{'type': Value('string'), 'stac_version': Value('string'), 'id': Value('string'), 'description': Value('string'), 'title': Value('string'), 'links': List({'rel': Value('string'), 'href': Value('string'), 'type': Value('string')})}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 149, in get_rows_or_raise
                  return get_rows(
                      dataset=dataset,
                  ...<4 lines>...
                      column_names=column_names,
                  )
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                File "/src/services/worker/src/worker/utils.py", line 129, in get_rows
                  rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
                File "/src/services/worker/src/worker/utils.py", line 489, in safe_iter
                  yield from ds.decode(False) if ds.features else ds
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2818, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              type: string
              stac_version: string
              id: string
              title: string
              description: string
              license: string
              extent: struct<spatial: struct<bbox: list<item: list<item: double>>>, temporal: struct<interval: list<item:  (... 21 chars omitted)
                child 0, spatial: struct<bbox: list<item: list<item: double>>>
                    child 0, bbox: list<item: list<item: double>>
                        child 0, item: list<item: double>
                            child 0, item: double
                child 1, temporal: struct<interval: list<item: list<item: string>>>
                    child 0, interval: list<item: list<item: string>>
                        child 0, item: list<item: string>
                            child 0, item: string
              providers: list<item: struct<name: string, roles: list<item: string>, url: string>>
                child 0, item: struct<name: string, roles: list<item: string>, url: string>
                    child 0, name: string
                    child 1, roles: list<item: string>
                        child 0, item: string
                    child 2, url: string
              summaries: struct<gsd: list<item: int64>>
                child 0, gsd: list<item: int64>
                    child 0, item: int64
              links: list<item: struct<rel: string, href: string, type: string>>
                child 0, item: struct<rel: string, href: string, type: string>
                    child 0, rel: string
                    child 1, href: string
                    child 2, type: string
              to
              {'type': Value('string'), 'stac_version': Value('string'), 'id': Value('string'), 'description': Value('string'), 'title': Value('string'), 'links': List({'rel': Value('string'), 'href': Value('string'), 'type': Value('string')})}
              because column names don't match

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FABDEM v1.2 STAC Catalog

The rasters have moved. This repository now holds the STAC metadata only. The GeoTIFFs live in the public bucket links-ads/fabdem, and every STAC item here points at them, so nothing changes for STAC clients. What does change: hf download links-ads/fabdem-v12 no longer gives you the tiles — see Accessing the data.

FABDEM (Forest And Buildings removed Copernicus DEM) is a global 30 m elevation dataset derived from Copernicus GLO-30, with forest and building height biases systematically removed by the University of Bristol. It represents bare-earth topography, which matters for hydrological modelling, flood risk, and any application where vegetation and built structures corrupt the terrain signal.

Dataset summary


Resolution	30 m (~1 arcsecond)
Coverage	Global, 19,011 tiles of ~1° × 1°
Format	Cloud-Optimized GeoTIFF, 3600 × 3600 px
Compression	DEFLATE, predictor 2, 512 × 512 internal tiles
Overviews	levels 2/4/8, average resampling
Data type	float32 elevation in metres, nodata −9999
CRS	WGS84 (EPSG:4326)
Version	1.2
Total size	438 GiB

The tiles were rewritten from the University of Bristol distribution into valid COGs with internal overview pyramids. Pixel values are unchanged — the rewrite touched only the container, so low-zoom and windowed reads no longer require pulling whole files.

Structure

catalog.json                   root catalog -> collection.json
collection.json                collection "fabdem", 19011 item links
stac_catalog/<id>/<id>.json    one STAC item per tile

Item links hang off the collection, not the catalog, so a client walking rel: item links must read collection.json.

Links inside the catalog are relative, which makes this tree a relative published catalog: the identical documents are also published in the bucket at https://huggingface.co/buckets/links-ads/fabdem/resolve/. Use whichever you prefer — this repo's CDN is faster for small documents, the bucket has no per-IP rate ceiling and is the better choice for automated traversal.

Accessing the data

Assets are plain public HTTPS objects, no authentication, readable by GDAL through /vsicurl/:

import rasterio

url = "https://huggingface.co/buckets/links-ads/fabdem/resolve/tiles/N40E000-N50E010_FABDEM_V1-2/N44E007_FABDEM_V1-2.tif"
with rasterio.open("/vsicurl/" + url) as src:
    print(src.profile["dtype"], src.shape, src.overviews(1))
    preview = src.read(1, out_shape=(1, 450, 450))  # reads an overview, not the full grid

stac_catalog_query.ipynb in this repo shows the full path: read the collection, filter tiles by area of interest, load only the matching items, and stack them with stackstac.

Limitations

Temporal snapshot: represents conditions circa 2020.
Processing artifacts: some remain in complex terrain.
Polar regions: coverage follows Copernicus DEM constraints.

Licence and attribution

FABDEM v1.2 is distributed under the Non-Commercial Government Licence v2.0 — see license.txt. Non-commercial use only; keep the licence alongside any redistribution.

Produced by the University of Bristol (https://data.bris.ac.uk/data/dataset/s5hqmjcdj8yo2ibzi9b4ew3sn), from Copernicus GLO-30 © ESA. Reprocessed and hosted by Fondazione LINKS — AI, Data & Space.

The original STAC cataloguing approach was inspired by https://github.com/cordmaur/fabdem-brazil-south.

Citation

Hawker, L., Uhe, P., Paulo, L., Sosa, J., Savage, J., Sampson, C., and Neal, J. (2022). "A 30 m Global Map of Elevation with Forests and Buildings Removed." Environmental Research Letters 17(2), 024016. https://doi.org/10.1088/1748-9326/ac4d4f

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