VIIRS/NPP VNP17A3GF: Gap-Filled Yearly Primary Productivity at 500m

Global satellite-derived data provides yearly composites of Gross and Net Primary Productivity (GPP/NPP) at a 500-meter spatial resolution. The dataset uses a gap-filling algorithm based on quality-controlled Leaf Area Index and Fraction of Photosynthetically Active Radiation inputs, improving upon previous versions. It is designed as a Level 4 product for modeling terrestrial energy, carbon, and water cycle processes.

Use Cases

• Modeling terrestrial carbon sequestration based on gap-filled GPP/NPP values.
• Analyzing global vegetation productivity trends using yearly composite data.
• Studying the terrestrial energy and water cycle using radiation use efficiency concepts.
• Providing inputs for land surface and biogeochemistry models.

Strengths

• Provides gap-filled data using linear interpolation for poor-quality pixels, improving data continuity.
• Offers a high spatial resolution of 500 meters for global coverage.
• Is available on multiple authoritative platforms (Data.gov, NASA Earthdata), indicating established provenance.

Limitations

• Metadata completeness is medium; specific column names, row counts, and file sizes are not provided.
• The dataset is not available in near-real-time, as it is generated only at the end of each calendar year.
• License information is conflicting ('other-license-specified' vs. 'None' across sources).

Provenance

Source

National Aeronautics and Space Administration (NASA)

Collection Method

Derived from the Suomi NPP satellite's Visible Infrared Imaging Radiometer Suite (VIIRS) sensor.

Freshness

Last updated on 2026-04-09 according to Data.gov entries.

Geography

Global