VJ143D49: VIIRS Band M10 Valid Observation Quality for Global Albedo

Daily global data layers are produced using a 16-day rolling window, temporally weighted to the ninth day, at a 30 arc-second (1,000 meter) resolution. The dataset provides the valid observation quality layer for VIIRS band M10, part of a suite of BRDF and albedo parameters on a Climate Modeling Grid. It is designed for use in climate simulation models and downstream products like vegetation indices.

Use Cases

• Assessing data quality for albedo retrievals based on the valid observation layer for band M10.
• Inputting validated surface reflectance data into climate simulation models using the Climate Modeling Grid format.
• Monitoring changes in land surface anisotropy over a 16-day composite period.
• Improving aerosol quantity flag corrections for downstream vegetation index products.

Strengths

• Provides daily, global coverage at a consistent 1km resolution suitable for climate models.
• Algorithm incorporates improvements from the S-NPP VIIRS V002 version, including better calibration and geolocation accuracy.
• Data is part of a cross-platform, operational product suite from a major space agency (NASA/NOAA), indicating reliability and ongoing support.

Limitations

• Metadata for specific column names, row counts, and file sizes is unavailable across all sources.
• Known issues exist and require external consultation of the MODIS/VIIRS Land Quality Assessment website for full understanding.
• Each product file contains only one data layer, requiring multiple files for a complete parameter set.

Provenance

Source

NOAA-20/Suomi NPP satellite, Visible Infrared Imaging Radiometer Suite (VIIRS) sensor. Processed by LPCLOUD.

Collection Method

Satellite remote sensing, processed daily using a 16-day data composite with temporal weighting.

Time Range

Daily production from the NOAA-20 mission start date (not specified) onward.

Freshness

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

Geography

Global coverage on a Climate Modeling Grid (CMG).