Sigma0 products describe the amount of radar signal reflected back to the Sentinel-1 sensor, dependent on surface characteristics. The data is derived from Level-1 Ground Range Detected (GRD) products and has undergone radiometric calibration, orbit correction, and terrain correction to represent true radar backscatter and minimize geometric distortion. FEDEO provides this dataset, last updated on 2029-10-03.
Use Cases
- Monitoring land cover change over time based on calibrated radar backscatter values.
- Comparing SAR imagery from different sensors or acquisition times based on the applied radiometric correction.
- Analyzing surface characteristics like soil moisture or vegetation structure based on the Sigma0 reflectance measurement.
- Creating geometrically accurate maps for topographic analysis based on the applied range doppler terrain correction.
Strengths
- Products have undergone specific radiometric calibration using a provided Look Up Table (LUT) to represent true radar backscatter.
- Multiple correction steps were applied, including border noise removal, thermal noise removal, and range doppler terrain correction for geometric accuracy.
- Dataset is sourced from the Sentinel-1 satellite mission and provided via the NASA Earthdata platform.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count, file formats, and sample data are unknown, which may limit suitability assessment.
Provenance
- Source
- Sentinel-1 satellite mission, processed by FEDEO and hosted on NASA Earthdata.
- Collection Method
- Derived from Sentinel-1 Level-1 Ground Range Detected (GRD) products with applied radiometric calibration and geometric corrections.
- Time Range
- null
- Freshness
- Last updated 2029-10-03 23:59:00; freshness should be verified.
- Geography
- Global coverage from Sentinel-1's orbital path.