Buckets:

470 GB
38,029 files
Updated 2 days ago
Name
Size
stac_catalog
tiles
FABDEM-V1-2 Changelog.pdf718 kB
xet
FABDEM_v1-2_tiles.geojson9.22 MB
xet
README.md2 kB
xet
catalog.json620 Bytes
xet
collection.json2.28 MB
xet
license.txt21.3 kB
xet
readme.txt18.9 kB
xet
README.md

FABDEM v1.2 — Cloud-Optimized GeoTIFFs

Bare-earth 30 m global DEM: Copernicus GLO-30 with forest and building height biases removed by the University of Bristol. This bucket hosts the tiles rewritten as valid COGs with internal overview pyramids, plus a static STAC catalog describing them.

Contents

catalog.json                       root catalog
collection.json                    collection "fabdem" (extent, license, providers)
stac_catalog/<id>/<id>.json        19011 STAC items, one per tile
tiles/<group>/<id>.tif             19011 COGs, 438 GiB
license.txt, readme.txt            original FABDEM licence and readme
FABDEM-V1-2 Changelog.pdf          upstream changelog
FABDEM_v1-2_tiles.geojson          tile index

Raster profile

Float32 elevation in metres, EPSG:4326, 3600 × 3600 per tile (~1° × 1°), nodata −9999. DEFLATE with predictor 2, 512 × 512 internal tiles, overview levels 2/4/8 built with average resampling. Pixel values are identical to the source tiles — the rewrite only changed the container.

Access

Files are readable directly over HTTPS, no authentication:

https://huggingface.co/buckets/links-ads/fabdem/resolve/tiles/<group>/<tile>.tif

which works with GDAL as /vsicurl/<url>:

import rasterio

url = "https://huggingface.co/buckets/links-ads/fabdem/resolve/tiles/N00E000-N10E010_FABDEM_V1-2/N00E006_FABDEM_V1-2.tif"
with rasterio.open("/vsicurl/" + url) as src:
    print(src.overviews(1))  # [2, 4, 8]

Licence and attribution

FABDEM v1.2 is distributed under the Non-Commercial Government Licence v2.0 — see license.txt. Non-commercial use only.

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.

Hawker, L. et al. (2022), A 30 m global map of elevation with forests and buildings removed, Environmental Research Letters 17(2), 024016.

Total size
470 GB
Files
38,029
Last updated
Aug 7
Pre-warmed CDN
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Contributors