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Global River Topology (GRIT) vector datasets

This is the vector dataset of the Global River Topology (GRIT). GRIT is a global river network that not only represents the tributary components of the global drainage network but also the distributary ones, including multi-thread rivers, canals and delta distributaries. It is also the first global hydrography (excluding Antarctica and Greenland) produced at 30m raster resolution. It is created by merging Landsat-based river mask (GRWL) with elevation-generated streams to ensure a homogeneous d

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What's in it

Data offered llm-inferred
river network topology including tributaries and distributaries · multi-thread rivers · canals · delta distributaries · global river hydrography
Coverage llm-inferred
Global, excluding Antarctica and Greenland
Resolution llm-inferred
30 m
Access llm-inferred
CC BY-NC 4.0 licence (non-commercial use only); no auth listed in metadata; download page returned 403 so access could not be verified

Useful for

Use cases llm-inferred
River network context for FRA catchment and watercourse review · Flow-path and tributary connectivity for drainage strategy · Hydrographic base layer for hydrological model setup
Audience llm-inferred
hydrologists · flood consultants · drainage engineers · GIS analysts

Limitations

Constraints llm-inferred
CC BY-NC 4.0 licence prohibits commercial use, which may restrict consultancy work · Source docs page returned 403 Forbidden, so no details could be verified · Entry describes a vector dataset but also a 30 m raster resolution; the format is unclear · Excludes Antarctica and Greenland · Entry description is truncated and update frequency is not stated
Licence
cc-by-nc-4.0
Authentication
Unknown — review source docs
GitHub stars
Unknown
Last commit
Unknown
Last successful page check
16/10/2026
Page health
restricted
Package
Not recorded
Verification
Not independently verified

Provenance & evidence

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

Metadata observed 14/10/2026 · research sweep: sweep-2026-10-16 (zenodo)