JPSS-1 CrIS PCA/RED: Satellite Infrared Soundings for Event Detection

Principal Component Analysis (PCA) compresses and denoises Level 1B radiance values, removing about 80% of random noise. The Rapid Event Detection (RED) product identifies rare signals in multiple spectral regions to locate phenomena like fires and volcanic gas emissions. This data originates from the Cross-track Infrared Sounder (CrIS) instrument on the NOAA-20 satellite, managed by NASA.

Use Cases

• Detecting atmospheric gases from fires based on the Rapid Event Detection (RED) product.
• Studying volcanic emissions based on the Rapid Event Detection (RED) product.
• Analyzing denoised infrared radiance spectra based on the Principal Component Analysis (PCA) compressed data.
• Monitoring rare atmospheric events based on the spectral region signals identified in the RED product.

Strengths

• Data volume is many times smaller than the existing L1B product.
• About 80% of random noise is removed via Principal Component Analysis.
• Includes a new Rapid Event Detection (RED) component for locating rare phenomena.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Last updated 2026-03-13 01:29:54.276033; freshness should be verified.

Provenance

Source

National Aeronautics and Space Administration (NASA)

Collection Method

Satellite measurements from the Cross-track Infrared Sounder (CrIS) instrument on the NOAA-20 platform.

Freshness

Last updated 2026-03-13 01:29:54.276033.