Reconstruction of the Angular Dependence of the Sea Ice Backscattering Pattern According to the GNSS-R Data

This study addresses the challenge of understanding sea ice microwave scattering properties by developing a novel method to retrieve scattering indicatrix and angular dependence of backscattering patterns from Global Navigation Satellite System Reflectometry (GNSS-R) data. Sea ice remote sensing in quasi-specular reflection area requires theoretical models validated using experimental data across different frequency bands. However, only limited observations of quasispecular scattering in the L-band exist. We developed an algorithm to convert Doppler spectra from delay-Doppler maps (DDM) obtained by the TDS-1 satellite into scattering indicatrix and then to angular dependence of the sea ice backscattering patterns, using geometric transformations from bistatic sensing geometry. The method was applied to approximately 100 DDM measurements over the Sea of Okhotsk during February–March 2017, where ice concentration remained at 90–100% with temperatures below 0 °C. Results show that L-band (19 cm wavelength) exhibits broader angular dependence compared to Ka-band (8.45 mm) and Ku-band (2.21 cm) measurements from dual-frequency precipitation radar (DPR), contrary to expectations based solely on surface roughness. This anomalous broadening is attributed to volume scattering effects within sea ice, where L-band signals penetrate up to one meter depth compared to millimeter-scale penetration in Ka- and Kufrequency bands. The findings provide new insights into L-band scattering mechanisms and offer a validated approach for improving theoretical models of sea ice microwave interaction.

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Publication Details

Journal
Rossijskij žurnal nauk o zemle/Russian journal of earth sciences
Published
2025-08-08
DOI
https://doi.org/10.2205/2025es001082
Primary Topic
Soil Moisture and Remote Sensing
Type
article
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article

Reconstruction of the Angular Dependence of the Sea Ice Backscattering Pattern According to the GNSS-R Data

Rossijskij žurnal nauk o zemle/Russian journal of earth sciences
Soil Moisture and Remote Sensing
article

Reconstruction of the Angular Dependence of the Sea Ice Backscattering Pattern According to the GNSS-R Data

article en

Abstract

This study addresses the challenge of understanding sea ice microwave scattering properties by developing a novel method to retrieve scattering indicatrix and angular dependence of backscattering patterns from Global Navigation Satellite System Reflectometry (GNSS-R) data. Sea ice remote sensing in quasi-specular reflection area requires theoretical models validated using experimental data across different frequency bands. However, only limited observations of quasispecular scattering in the L-band exist. We developed an algorithm to convert Doppler spectra from delay-Doppler maps (DDM) obtained by the TDS-1 satellite into scattering indicatrix and then to angular dependence of the sea ice backscattering patterns, using geometric transformations from bistatic sensing geometry. The method was applied to approximately 100 DDM measurements over the Sea of Okhotsk during February–March 2017, where ice concentration remained at 90–100% with temperatures below 0 °C. Results show that L-band (19 cm wavelength) exhibits broader angular dependence compared to Ka-band (8.45 mm) and Ku-band (2.21 cm) measurements from dual-frequency precipitation radar (DPR), contrary to expectations based solely on surface roughness. This anomalous broadening is attributed to volume scattering effects within sea ice, where L-band signals penetrate up to one meter depth compared to millimeter-scale penetration in Ka- and Kufrequency bands. The findings provide new insights into L-band scattering mechanisms and offer a validated approach for improving theoretical models of sea ice microwave interaction.

Rossijskij žurnal nauk o zemle/Russian journal of earth sciences
Russian Academy of Sciences (RU), Chinese Academy of Sciences (CN), Yantai Institute of Coastal Zone Research (CN), National Space Science Center (CN), All-Russian Scientific Research Institute of Physical-Technical and Radiotechnical Measurements (RU)
Life below water
Openalex Percentile: Top 48%
Soil Moisture and Remote Sensing
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