VNP17A2: Global Vegetation Productivity at 500m Resolution

Global satellite-derived data provides cumulative 8-day composites of Gross Primary Productivity (GPP) and Net Photosynthesis (PSN) at a 500-meter spatial resolution. The dataset, based on the radiation use efficiency concept, is designed as an input for models calculating terrestrial energy, carbon, and water cycle processes. It contains three primary variables for GPP and PSN alongside a quality control layer.

Use Cases

• Modeling terrestrial carbon cycle processes based on satellite-derived GPP and PSN values.
• Analyzing global vegetation productivity and biogeochemistry using 8-day composite time series.
• Assessing the quality of vegetation productivity estimates using the provided quality control variable.

Strengths

• Provides high-resolution global coverage at a consistent 500-meter spatial scale.
• Offers a temporally dense time series with 8-day composite periods.
• Is a multi-platform dataset, indicating established use and validation.

Limitations

• Metadata completeness is low, with column names, row counts, and size unspecified across all sources.
• Known issues exist, requiring users to consult an external quality assessment website.
• Author and organizational attribution beyond 'LPCLOUD' is unclear.

Provenance

Source

NASA/NOAA Suomi NPP satellite, Visible Infrared Imaging Radiometer Suite (VIIRS) sensor.

Collection Method

Satellite remote sensing, processed into a Level 4 gridded product using the radiation use efficiency concept.

Freshness

Last updated on 2026-04-09 according to two platforms.

Geography

Global, delivered in a Sinusoidal map projection.