VJ117A3GF: Gap-Filled Yearly Vegetation Productivity at 500m

VIIRS/JPSS1 VJ117A3GF Version 2 provides yearly, gap-filled composites of Gross and Net Primary Production (GPP/NPP) for global vegetation monitoring. Its 500-meter spatial resolution and Level 4 processing, which includes linear interpolation for poor-quality LAI/FPAR inputs, offer a cleaned data product for modeling terrestrial energy and biogeochemical cycles. However, users cannot access this dataset in near-real-time, as it is generated only at the end of each calendar year.

Use Cases

• Modeling terrestrial carbon flux based on gap-filled GPP and NPP layers.
• Analyzing vegetation biogeochemistry and energy processes using radiation-use efficiency concepts.
• Studying annual global evapotranspiration and latent heat flux patterns referenced in tags.
• Providing cleaned inputs for land surface models calculating primary productivity.

Strengths

• Offers a high spatial resolution of 500 meters for detailed global analysis.
• Includes quality control through gap-filling via linear interpolation for poor-quality LAI/FPAR pixels.
• Is a multi-platform dataset, indicating established importance and use.

Limitations

• Metadata completeness is low, with column names, row counts, and size unspecified across all sources.
• Has a significant latency, as data is only generated at the end of each year, not in near-real-time.
• License is ambiguously listed as 'other-license-specified' without details.

Provenance

Source

LPCLOUD (from nasa_earthdata platform)

Collection Method

Derived from NOAA-20 VIIRS satellite sensor data, processed to a Level 4 gridded product.

Freshness

2026-04-09 21:04:47.813403

Geography

Global, delivered in a Sinusoidal projection.