EO·Atlas
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methodologies

GNSS reflectometry (GNSS-R)

Retrieves surface properties (ocean wind speed, soil moisture, sea ice extent, surface roughness) from reflected L-band navigation signals; good for global ocean wind monitoring and soil moisture at low constellation cost.

GNSS reflectometry (GNSS-R) is a passive bistatic radar technique that exploits navigation signals from GPS, Galileo, and BDS constellations as signals of opportunity. Reflected GNSS waveforms are captured by a nadir-facing antenna and processed into Delay-Doppler maps (DDMs), which encode surface roughness and dielectric properties to retrieve ocean wind speed, soil moisture, sea ice extent, and surface inundation.[1]

TechDemoSat-1 (launched July 2014) carried the SGR-ReSI instrument developed by Surrey Satellite Technology Ltd and demonstrated the first spaceborne GNSS-R measurements of ocean wind speed and sea ice classification.[2] CYGNSS (launched December 2016) scaled the approach to an eight-microsatellite constellation in a 520 km, 35-degree-inclination orbit, enabling near-daily tropical coverage. Its DDMI instrument delivers L2 ocean wind speed, L3 soil moisture, and L3 flood inundation products distributed via NASA PO.DAAC.[3] ESA's HydroGNSS Scout constellation (launched November 2025) extends the application set to soil moisture, freeze-thaw state, wetland inundation, and above-ground biomass.[4] Spire Global operates a commercial CubeSat constellation with GNSS-R capability, offering Spire Soil Moisture Insights as an operational commercial product.

L-band navigation signals penetrate vegetation canopy more effectively than shorter-wavelength active radar, making GNSS-R an efficient complement to dedicated active microwave sensors for land surface monitoring. The technique requires no onboard transmitter, which substantially reduces instrument mass and power compared to monostatic active radar.

Sources
Cite https://eo-atlas.org/methodologies/gnss-reflectometry Markdown twin → Field definitions →