VJ143D28: VIIRS Visible Broadband BRDF Isotropic Parameter

Global daily data provides the isotropic model parameter for the Visible Infrared Imaging Radiometer Suite (VIIRS) visible broadband at 0.64 μm, used to derive land surface albedo. The product is generated daily using a 16-day data composite at a 30 arc-second (1,000 meter) resolution on a Climate Modeling Grid. This specific parameter file is part of a larger suite of 39 files containing BRDF model parameters for multiple spectral bands.

Use Cases

• Modeling surface radiative forcing in climate simulations based on the Climate Modeling Grid (CMG) format.
• Deriving land surface albedo values for the VIIRS visible broadband using the isotropic, volumetric, and geometric parameters.
• Analyzing temporal changes in surface reflectance properties using the daily, 16-day composite product.
• Integrating satellite-derived BRDF parameters into land surface models for improved energy budget estimates.

Strengths

• Provides global coverage on a Climate Modeling Grid designed for direct use in climate simulation models.
• Offers daily temporal resolution using a weighted 16-day composite, balancing recency with data stability.
• Includes improvements from the V002 algorithm version, such as enhanced calibration and geolocation accuracy.

Limitations

• Metadata for row count, file size, and specific columns is unavailable across all sources.
• Each of the 39 parameter files contains only one data layer, requiring multiple file downloads for a complete analysis.
• Platforms show a conflict in license information, with some listing 'other-license-specified' and others 'None'.

Provenance

Source

NOAA-20 VIIRS satellite sensor, processed by LPCLOUD (as listed on nasa_earthdata).

Collection Method

Satellite remote sensing data processed daily using a defined algorithm to derive BRDF model parameters.

Time Range

Daily production; temporal weighting is applied to the ninth day of a 16-day composite.

Freshness

Last updated on 2026-04-09 according to nasa_earthdata and datagov.

Geography

Global coverage.