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geospatially_enriched_ndvi

Hugging Face dataset svenmeijboom/geospatially_enriched_ndvi

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What's in it

Data offered docs-verified
NDVI vegetation index from 16-day Terra/MODIS grids, as a per-pixel time series · Nested administrative levels level_1 to level_5 (e.g. province, municipality) · Country name (ISO-normalized)
Coverage docs-verified
Worldwide, every 0.1°×0.1° land pixel · From 2000 onward
Resolution docs-verified
0.1° grid (pixel centres step 0.1°); 16-day snapshot interval
Formats docs-verified
Parquet
Access llm-inferred
Public Hugging Face dataset, loaded via the datasets library (load_dataset); no authentication or licence listed in the entry

Useful for

Use cases llm-inferred
Long-run greenness baseline for a site or catchment from the nearest 0.1° pixel time series, as ecological context · Regional vegetation-trend comparison by province or municipality using the level_1 to level_5 fields · Seasonal vegetation context for catchment land-use screening inputs
Audience llm-inferred
ecologists · GIS analysts · hydrologists · planners

Limitations

Constraints llm-inferred
vegetation_index is NULL for ocean and cloud pixels, so gaps need handling · Full dataset is about 3.25B rows and 6.51 GB; filter by year and country partitions rather than loading everything · 0.1° grid cells are coarse for site-scale work such as single-plot BNG or FRA assessments · Licence, update cadence and end date are not stated in the entry or docs · Terra/MODIS is the only sensor named; no other sensor blending is described
Licence
Unknown — check provider terms
Authentication
Unknown — review source docs
GitHub stars
Unknown
Last commit
Unknown
Last successful page check
14/10/2026
Page health
healthy
Package
Not recorded
Verification
Not independently verified

Provenance & evidence

Verified 2026-10-15 via HF API: exists; 1178 downloads/30d, 0 likes.

Metadata observed 14/10/2026 · research sweep: manual-2026-10-15 (Hugging Face datasets)