Full Polarimetric GNSS-R Sensitivity Assessment of Ocean Roughness

The sensitivity of Global Navigation Satellite System Reflectometry (GNSS-R) to ocean surface roughness is well-established within the scientific and technological communities. Missions like the CYclone GNSS (CYGNSS) have been specifically designed to detect and monitor hurricanes and other oceanic storms. Additionally, data from the Soil Moisture Active Passive (SMAP) mission’s radar, operating in receive mode, known as SMAP-Reflectometer or SMAP-R, provide opportunities to evaluate the polarimetric sensitivities of GNSS-R measurements to ocean surface roughness. This enables exploration of potential applications that can be achieved or enhanced through the use of polarimetric techniques. This study provides a sensitivity analysis of wind-driven changes in surface roughness using a comprehensive view of full polarization GNSS-R signals over the ocean. The results show an improvement of about 0.6% on ocean wind speed retrievals for dual polarization GNSS-R missions respect to single polarization GNSS-R missions. The results show an improvement of about 4.5% on ocean wind speed retrievals for full polarization GNSS-R missions respect to single polarization GNSS-R missions.

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Publication Details

Journal
IEEE Transactions on Geoscience and Remote Sensing
Published
2025-01-01
DOI
https://doi.org/10.1109/tgrs.2025.3583971
Primary Topic
Soil Moisture and Remote Sensing
Type
article
Field-Weighted Citation Impact
0.00

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article

Full Polarimetric GNSS-R Sensitivity Assessment of Ocean Roughness

Kamal Oudrhiri, Nereida Rodriguez-Alvarez, Xavier Bosch-Lluis
IEEE Transactions on Geoscience and Remote Sensing
Soil Moisture and Remote Sensing
article

Full Polarimetric GNSS-R Sensitivity Assessment of Ocean Roughness

Kamal Oudrhiri, Nereida Rodriguez-Alvarez, Xavier Bosch-Lluis
article en

Abstract

The sensitivity of Global Navigation Satellite System Reflectometry (GNSS-R) to ocean surface roughness is well-established within the scientific and technological communities. Missions like the CYclone GNSS (CYGNSS) have been specifically designed to detect and monitor hurricanes and other oceanic storms. Additionally, data from the Soil Moisture Active Passive (SMAP) mission’s radar, operating in receive mode, known as SMAP-Reflectometer or SMAP-R, provide opportunities to evaluate the polarimetric sensitivities of GNSS-R measurements to ocean surface roughness. This enables exploration of potential applications that can be achieved or enhanced through the use of polarimetric techniques. This study provides a sensitivity analysis of wind-driven changes in surface roughness using a comprehensive view of full polarization GNSS-R signals over the ocean. The results show an improvement of about 0.6% on ocean wind speed retrievals for dual polarization GNSS-R missions respect to single polarization GNSS-R missions. The results show an improvement of about 4.5% on ocean wind speed retrievals for full polarization GNSS-R missions respect to single polarization GNSS-R missions.

IEEE Transactions on Geoscience and Remote SensingVol. 63
Jet Propulsion Laboratory (US)
National Aeronautics and Space Administration
Life below water
Openalex Percentile: Top 84%
Soil Moisture and Remote Sensing
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Full Polarimetric GNSS-R Sensitivity Assessment of Ocean Roughness — Kamal Oudrhiri, Nereida Rodriguez-Alvarez, et al. · IEEE Transactions on Geoscience and Remote Sensing (2025) | TGRS Research Map | TGRS