VNP22Q2: Global Land Surface Phenology Metrics at 500m

Global land surface phenology metrics are derived from VIIRS satellite data at a 500-meter spatial resolution. The VNP22Q2 product provides yearly intervals of vegetation transition dates, including the onset of greenness increase and decrease, growing season length, and confidence layers. Each product contains 19 Science Dataset layers, capturing up to two growing cycles per year.

Use Cases

• Tracking growing season length and timing changes for climate impact studies based on the six phenological transition dates.
• Modeling vegetation productivity and carbon cycles using the rate of greenness increase and decrease metrics.
• Assessing data reliability for regional analyses using the proportion of good quality (PGQ) and greenness agreement confidence layers.
• Comparing phenology products with MODIS data (MCD12Q2) for sensor inter-comparison and time series continuity.

Strengths

• Provides global coverage at a consistent 500-meter spatial resolution.
• Contains 19 distinct Science Dataset layers, including multiple phenology metrics and quality assurance data.
• Derived from VIIRS Nadir BRDF-Adjusted Reflectance (NBAR), which suggests improved surface reflectance corrections.

Limitations

• Key metadata such as row count, file size, and specific column names are not provided across any source.
• The license is listed as 'other-license-specified' without explicit details on reuse terms.
• Documentation references known issues on an external website, requiring users to seek additional information.

Provenance

Source

National Aeronautics and Space Administration (NASA)

Collection Method

Derived from time series of the two-band Enhanced Vegetation Index-2 (EVI2) calculated from VIIRS satellite data.

Time Range

Yearly intervals (specific start/end years not provided).

Freshness

2026-04-09 20:58:17.241476

Geography

Global