VJ143C1: VIIRS BRDF/Albedo Model Parameters Daily Global 5km Grid
Updated 2mo ago
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Available on 2 platforms
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Description
Global daily data at a 0.05-degree (approximately 5,600-meter) resolution provides weighting parameters for the RossThick/Li-Sparse-Reciprocal BRDF model across 13 spectral bands. The dataset includes 39 layers, containing three model parameters (fiso, fvol, fgeo) per band plus ancillary layers for uncertainty, quality, local solar noon, percent finer resolution inputs, and snow cover. It is derived from a 16-day moving window of reflectance data and is intended for use in climate simulation models.
Use Cases
Calculating surface albedo based on the provided BRDF model parameters.
Generating Nadir BRDF-Adjusted Reflectance (NBAR) products using the fiso, fvol, and fgeo parameters.
Assessing land surface anisotropy for climate studies using the RossThick/Li-Sparse-Reciprocal model.
Evaluating data quality for climate modeling via the ancillary uncertainty and quality layers.
Monitoring snow cover extent and its impact on surface reflectance using the ancillary snow layer.
Strengths
Contains 39 layers of data, providing parameters for 13 spectral bands plus ancillary information.
Offers global coverage at a consistent 0.05-degree Climate Modeling Grid (CMG) resolution.
Is generated daily using a 16-day moving window to emphasize data from the ninth day of the retrieval period.
Limitations
Key metadata such as row count, file size, and specific license details are missing or conflicting across sources.
The dataset relies on a multi-day window and spatial fitting, which may smooth or interpolate values for some pixels.
Users must assess ancillary quality layers before use, indicating variable pixel-level reliability.
Provenance
Source
LPCLOUD
Collection Method
Derived from the 30 arc second CMG VJ143D Version 2 product suite using high-quality reflectance data.
Freshness
2026-04-09 21:07:55.150696
Geography
Global
License is listed as 'other-license-specified'; users must refer to the MODIS/VIIRS Land Quality documentation for known issues.