ERS-1 Gridded Sigma-0 Radar Backscatter Data at 8.9 km Resolution

The European Remote Sensing (ERS) Sigma-0 dataset provides processed radar backscatter data from the ERS-1 C-band scatterometer. It was generated by the Scatterometer Climate Record Pathfinder project at Brigham Young University using a Scatterometer Image Reconstruction technique, resulting in enhanced resolution imagery. The data is gridded globally at 8.9 km and 44.5 km resolutions and includes statistical parameters like standard deviation and measurement counts.

Use Cases

• Analyzing sea ice extent and dynamics based on radar backscatter measurements.
• Studying land surface properties and changes using Sigma-0 values and associated statistical parameters.
• Climate record pathfinding and validation using long-term, processed scatterometer data.
• Comparing enhanced (8.9 km) and standard (44.5 km) resolution radar imagery for specific regions.

Strengths

• Provides data at two distinct spatial resolutions: 8.9 km for enhanced SIR files and 44.5 km for standard GRD files.
• Includes auxiliary statistical parameters such as standard deviation, measurement counts, pixel time, Sigma-0 error, and average incidence angle.
• Data is organized by region, parameter, and sampling technique, facilitating targeted analysis.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for large-scale ML tasks.
• Data may reflect geographic bias inherent to the original satellite mission and processing regions.

Provenance

Source

Scatterometer Climate Record Pathfinder (SCP) project at Brigham Young University, distributed via NASA.

Collection Method

Generated from ERS-1 satellite's Active Microwave Instrument using a Scatterometer Image Reconstruction (SIR) technique.

Time Range

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Freshness

Last updated 2026-03-13 02:44:12.938846; freshness should be verified.

Geography

Global coverage, with specific regional organization; China and Japan are combined into a single region.