NSCAT Gridded Sigma-0: Enhanced Resolution Satellite Radar Backscatter

NASA Scatterometer (NSCAT) satellite data processed by Brigham Young University using a Scatterometer Image Reconstruction (SIR) technique. The dataset provides Sigma-0 (radar backscatter) measurements at 4.45 km pixel resolution in enhanced SIR files and 22.25 km resolution in GRD files, with additional statistical parameters like standard deviation and measurement counts. Data is organized by region, polarization, and sampling technique, with the China and Japan regions combined.

Use Cases

• Analyzing ocean surface wind patterns based on Sigma-0 radar backscatter measurements.
• Monitoring sea ice extent and dynamics in polar regions based on polar-stereographic gridded data.
• Studying land surface properties and changes based on enhanced-resolution 4.45 km pixel imagery.
• Assessing measurement reliability based on provided statistical parameters like standard deviation and Sigma-0 error.

Strengths

• Provides enhanced resolution imagery at 4.45 km pixel resolution using the SIR technique.
• Includes multiple statistical parameters for guidance, such as standard deviation, measurement counts, and Sigma-0 error.
• Data is systematically organized by region, polarization, parameter, and sampling technique (SIR vs. GRD).

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and total dataset size are unknown, which may limit suitability assessment.

Provenance

Source

National Aeronautics and Space Administration (NASA), processed by the Scatterometer Climate Record Pathfinder (SCP) project at Brigham Young University (BYU).

Collection Method

Generated from NASA Scatterometer (NSCAT) satellite data using a Scatterometer Image Reconstruction (SIR) technique.

Time Range

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Freshness

Last updated 2026-03-12 23:02:13.742600; freshness should be verified.

Geography

Global coverage, with specific regional organization and combined China/Japan region.