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Methodology ยท SAR processing

Radar scatterometry

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.

Radar scatterometry is the operational coarse-resolution radar method for ocean surface wind vectors. It measures normalised radar backscatter from multiple azimuth and incidence-angle looks, then retrieves wind speed and direction with a geophysical model function rather than forming a fine-resolution image.[1] It serves ocean-surface winds, numerical weather prediction, marine forecasting, and storm monitoring where wide swath and frequent coverage matter more than local detail.

The method needs a dedicated real-aperture scatterometer geometry, stable calibration, multi-look ambiguity removal, land and ice masks, and quality control against rain and coastal contamination. It fails as a fine coastal mapper: conventional products are around 12.5-25 km, rain can bias wind retrievals, and land proximity or sea ice can contaminate the wind vector cell.[2]

Demonstrated implementations include ASCAT on Metop and SeaWinds on QuikSCAT. OSI SAF ASCAT products provide operational Level-2 wind direction and speed from Metop ASCAT at 25 km sampling, with a long operational series beginning in 2007.[2] QuikSCAT's SeaWinds instrument was a microwave radar designed for ocean near-surface wind speed and direction and provided global ocean coverage every two days.[3]

Topic
Fit
Ocean currentsadequate

Scatterometers measure wind stress that helps estimate wind-driven surface-current components.

No implementations recorded yet.

  • 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.

  • 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.

Sources
Methodology

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

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