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CLMS Water Bodies (WB) Global 100m monthly V1 (COG)

Provides monthly maps of permanent water body extent at global scale in the spatial resolution of 100 m.

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Source details

Licence: other

Evidence quality: 43.6

Listed in cdse-stac public catalogue API on 2026-10-16; relevance/value screened (haiku).

Metadata checked: 2026-10-14T13:20:00.000Z

What's in it

Data offered docs-verified
monthly permanent water body extent (global) · water body detection band (wb: water / no water) · water body occurrence quality flag (qual: very low to permanent classes)
Coverage docs-verified
Global (bbox approx. -180 to 180 longitude, -60 to 80 latitude) · 2020-10-01 onward (open-ended interval)
Resolution docs-verified
100 m spatial; monthly temporal
Update frequency docs-verified
Monthly maps; product timeliness P1M, category OFFL (offline)
Formats docs-verified
GeoTIFF (cloud-optimized COG) · STAC JSON metadata · ZIP product archive
Access docs-verified
Licence 'other' under the Copernicus Land Monitoring Service data policy. Asset access uses CDSE authentication: OpenID Connect for HTTPS, S3 credentials for S3. CREODIAS S3 is requester-pays. Free status is not stated in the docs.

Useful for

Use cases llm-inferred
Permanent water body screening for FRA watercourse and floodplain context · Waterbody and wetland baseline mapping for BNG habitat assessments · Long-term water extent change checks for reservoirs and lakes in water-resource or abstraction reviews
Audience llm-inferred
flood consultants · hydrologists · ecologists · GIS analysts

Limitations

Constraints llm-inferred
Bounding box stops at about 80 N and 60 S, so polar areas are outside coverage · 100 m pixels are too coarse for small ponds, ditches and narrow watercourses · Series starts 2020-10-01, so there is no pre-2020 baseline · Cloud-masked pixels (class 252) appear as gaps in the quality layer · Assets need CDSE authentication, and CREODIAS S3 is requester-pays · Licence is 'other', so check the Copernicus data policy before client re-use · Timeliness category is OFFL, so this is not a near-real-time feed

Evidence

Check upstream coverage, uncertainty and licence before use. Station observations are not forecasts or design levels.