A PERFORMANCE ASSESSMENT OF POLARIMETRIC GNSS-R SEA LEVEL MONITORING IN THE PRESENCE OF SEA SURFACE ROUGHNESS
Paper in proceeding, 2021

Monitoring coastal sea level has gained a large socioeconomic and environmental significance. Ground-based Global Navigation Satellite System Reflectometry (GNSS-R) offers various geophysical parameters including sea surface height. We investigate a one-year dataset from January to December 2016 to evaluate the performance of GNSS-R coastal sea levels during different sea states. Our experiment setup uses three types of antenna in terms of polarization and orientation. A zenith-looking antenna tracks Right-Handed Circular Polarization (RHCP) direct signals and two sea-looking antennas capture both Left-Handed Circular Polarization (LHCP) and RHCP reflections. The Singular Spectrum Analysis (SSA) is used for extracting interferometric frequency from the data and calculating the heights. The results indicate that the height estimates from the sea-looking antennas have better accuracy compared to the zenith-looking orientation. The LHCP antenna delivers the best performance. The yearly Root Mean Square Errors (RMSE) of 5-min GNSS-R L1 water levels compared to the nearest tide gauge are 2.8 and 3.9 cm for the sea-looking antennas and 4.7 cm for the zenith-looking antenna with correlations of 97.63, 95.02, 95.35 percent, respectively. Our analysis shows that the roughness can introduce a bias to the measurements.

Coastal Altimetry

Singular Spectrum Analysis (SSA)

Global Navigation Satellite Systems-Reflectometry (GNSS-R)

Author

Mahmoud Rajabi

Norwegian University of Science and Technology (NTNU)

Mostafa Hoseini

Norwegian University of Science and Technology (NTNU)

Hossein Nahavandchi

Norwegian University of Science and Technology (NTNU)

Maximilian Semmling

German Aerospace Center (DLR)

Markus Ramatschi

German Research Centre for Geosciences (GFZ)

Mehdi Goli

Shahrood University of Technology

Rüdiger Haas

Chalmers, Space, Earth and Environment, Onsala Space Observatory

J Wickert

German Research Centre for Geosciences (GFZ)

Technische Universität Berlin

International Geoscience and Remote Sensing Symposium (IGARSS)

8328-8331

2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021
Brussels, Belgium,

Subject Categories

Meteorology and Atmospheric Sciences

Oceanography, Hydrology, Water Resources

Signal Processing

DOI

10.1109/IGARSS47720.2021.9554562

More information

Latest update

5/30/2022