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Methodology ยท SAR processing

SAR backscatter imaging

Synthetic-aperture radar amplitude imaging: measures the surface normalized radar cross-section (sigma-nought) at high spatial resolution, day-night and cloud-independent. The base SAR sensing method underlying ocean wind retrieval, wave-mode spectra, flood mapping, and change detection.

SAR backscatter imaging is the base active-radar method for all-weather surface imaging. It uses a synthetic-aperture radar payload to form calibrated amplitude images of surface backscatter at metre-to-tens-of-metres scale, independent of daylight and most cloud conditions.[1] It serves flooding, sea ice, oil spill screening, maritime surveillance, and the downstream SAR wind and wave methods that start from SAR image products.

The method needs radiometric calibration, incidence-angle metadata, polarisation metadata, and enough antenna, power, downlink, and processing margin for imaging modes. Interpretation fails when geometry dominates the target signal: layover, shadow, foreshortening, speckle, wind roughening, wet-surface effects, and incidence-angle variation can all look like real surface change unless the product is terrain-corrected and normalised.

Demonstrated implementations include Sentinel-1 C-SAR, ALOS-2 PALSAR-2, and ICEYE X-band SAR. C-SAR provides C-band SAR modes including Interferometric Wide swath imaging at 250 km swath and 5 x 20 m ground resolution.[1] PALSAR-2 adds L-band SAR with spotlight, stripmap, and ScanSAR modes plus single, dual, compact, and full-polarisation options.[2] ICEYE provides X-band SAR imaging modes for repeat commercial monitoring, with sub-metre tasking modes and day-night, all-weather operation.[3]

Topic
Fit
Sea statefirst choice
Wind energy sitingfirst choice
Ocean currentsadequate

SAR ocean products can provide local ocean surface velocity context, but the canonical row is broader SAR backscatter rather than a Doppler-current method.

Demonstrated
Capable, undemonstrated
  • Measures millimetre-scale ground surface displacement by comparing phase differences between repeat SAR passes; good for subsidence, earthquake deformation, and volcanic monitoring.

  • Decomposes backscatter into scattering mechanisms (surface, double-bounce, volume) using multi-polarisation data; good for forest structure estimation, urban mapping, and soil moisture retrieval.

  • Real-aperture radar that measures normalized radar cross-section from multiple azimuth angles to retrieve ocean surface wind vectors (speed and direction) over wide swaths at ~12-25 km resolution. Distinct from SAR: non-imaging, coarse-resolution, optimised for global daily wind fields.

Sources
Methodology

Edited from public sources. Last reviewed date pending by SpectraWorks editorial. See the data dictionary for field definitions.

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