VNP15A2H: Global Vegetation Canopy Metrics from VIIRS Satellite

VIIRS/NPP satellite data provides Leaf Area Index and Fraction of Photosynthetically Active Radiation measurements at a 500-meter resolution globally. This Version 2 product is designed for continuity with the MODIS LAI/FPAR algorithm and includes six science data layers for analysis, plus quality and standard deviation information. It features improvements in calibration, geolocation, and aerosol flag corrections over previous versions.

Use Cases

• Modeling carbon uptake and ecosystem productivity based on FPAR measurements.
• Monitoring vegetation health and drought stress using Leaf Area Index (LAI) trends.
• Assessing land cover change and agricultural yields from canopy layer data.
• Validating and improving climate models with standardized, satellite-derived biophysical parameters.

Strengths

• Provides continuity with the established MODIS LAI/FPAR operational algorithm, supporting long-term Earth Observation System (EOS) mission analysis.
• Includes six specific science data layers: LAI, FPAR, their quality details, extra FPAR quality, and standard deviations for both.
• Version 2 features concrete improvements: enhanced calibration for the entire Suomi NPP mission, better geolocation accuracy, and corrected aerosol flags.

Limitations

• Metadata completeness is low: column names, row counts, and exact file sizes are unknown across all platform entries.
• The license is ambiguously listed as 'other-license-specified' without explicit terms provided.
• Documentation for known issues is external, requiring users to visit a separate NASA assessment website.

Provenance

Source

NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) satellite, Visible Infrared Imaging Radiometer Suite (VIIRS) sensor.

Collection Method

Satellite remote sensing, processed using an algorithm derived from Terra and Aqua MODIS.

Time Range

Coverage from the Suomi NPP mission start date onward; specific start date not provided.

Freshness

2026-04-09 21:13:10.145316 (from datagov)

Geography

Global coverage at a 500m spatial resolution, using a sinusoidal grid projection.