VJ143D45: VIIRS Valid Observation Quality for Band M4

Daily global data layers are produced using a 16-day rolling window, temporally weighted to the ninth day. The dataset provides the valid observation quality layer for VIIRS band M4 at a 30 arc-second (1,000 meter) resolution on a Climate Modeling Grid. It is part of a suite of BRDF/Albedo parameters designed for use in climate simulation models.

Use Cases

• Assessing data quality for land surface reflectance retrievals based on the valid observation layer for band M4.
• Inputting validated surface reflectance data into climate models based on the global Climate Modeling Grid (CMG) format.
• Monitoring temporal changes in surface properties using the 16-day composite and daily production cycle.
• Improving downstream products like vegetation indices by leveraging the corrected aerosol quantity flags referenced in the algorithm improvements.

Strengths

• Provides global coverage on a Climate Modeling Grid designed for climate simulation.
• Algorithm incorporates improvements from S-NPP VIIRS V002, including better calibration and geolocation accuracy.
• Data is produced daily with a 16-day composite window, offering a balance between temporal frequency and observation density.

Limitations

• Metadata completeness is low; specific column names, row counts, and file sizes are not provided on any platform.
• The authoritative source (nasa_earthdata) lists an 'other-license-specified' license, but the exact terms are not detailed in the input.
• Known issues exist and require consultation of an external website, indicating potential data quality caveats not fully documented here.

Provenance

Source

LPCLOUD (listed on nasa_earthdata).

Collection Method

Satellite remote sensing from the NOAA-20 VIIRS instrument, processed through the VJ143 algorithm suite.

Time Range

Daily production; temporal coverage is not explicitly bounded in the input.

Freshness

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

Geography

Global.