VNP17A2GF: Gap-Filled 8-Day Global Vegetation Productivity at 500m

VIIRS/NPP VNP17A2GF Version 2 provides gap-filled 8-day composites of Gross Primary Productivity and Net Photosynthesis at a 500-meter spatial resolution. The dataset is a Level 4 product generated annually using a radiation use efficiency model, with poor-quality inputs from Leaf Area Index and Fraction of Photosynthetically Active Radiation data cleaned via linear interpolation. It serves as an input for models calculating terrestrial energy, carbon, water cycle processes, and vegetation biogeochemistry.

Use Cases

• Modeling terrestrial carbon fluxes based on gap-filled GPP and PSN estimates.
• Analyzing annual vegetation productivity trends using the 8-day composite time series.
• Studying the biogeochemistry of vegetation as inputs for energy and water cycle models.
• Quality assessment of land surface processes using the provided quality control layer.

Strengths

• Provides gap-filled data via linear interpolation for poor-quality LAI/FPAR inputs, improving data continuity.
• Offers a consistent 8-day composite global product at 500-meter spatial resolution.
• Cross-platform presence on NASA Earthdata and Data.gov signals established importance and curation.

Limitations

• Not available in near-real-time, as it is generated only at the end of each calendar year.
• Metadata for specific column names, row counts, and file sizes is unavailable across all sources.
• Relies on the availability of the yearly VNP15A2H product, which may introduce processing delays.

Provenance

Source

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

Collection Method

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

Freshness

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

Geography

Global coverage in a Sinusoidal map projection.