Cross-spectral analysis of SAR altimetry waveform tails

Journal Article (2024)
Author(s)

M. Kleinherenbrink (TU Delft - Mathematical Geodesy and Positioning)

F. Ehlers (TU Delft - Physical and Space Geodesy)

Sergi Hernandez-Burgos (IsardSAT)

Frederic Nouguier (Laboratoire d'Océanographie Physique et Spatiale (LOPS))

O. Altiparmaki (TU Delft - Astrodynamics & Space Missions)

Florian Schlembach (Technische Universität München)

Bertrand Chapron (Laboratoire d'Océanographie Physique et Spatiale (LOPS))

Research Group
Mathematical Geodesy and Positioning
DOI related publication
https://doi.org/10.1109/TGRS.2024.3402390
More Info
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Publication Year
2024
Language
English
Research Group
Mathematical Geodesy and Positioning
Volume number
62
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Abstract

Until recently, intensity modulations in synthetic aperture radar (SAR) altimetry waveform tails have been considered a nuisance for geophysical-parameter retrieval. These modulations are actually predictable and might be exploited using a spectral analysis of the waveform tails. After Altiparmaki et al. (2022), a more elaborated analysis is performed to improve the interpretation of these SAR altimeter spectra. A fast numerical model is developed to explain the modulation mechanisms in focused SAR altimetry waveform tails. Using numerical solutions, standard analytical closed-form solutions, are demonstrated to be invalid to retrieve ocean-wave-spectra retrievals from nadir altimeters. Although not valid, a closed-form derivation provides intuitive insights about the information contained in an SAR altimetry cross-spectrum. Under moderate environmental conditions (significant wave heights (SWHs) of ∼2 m), a closed-form solution might still be useful to infer swell-wave spectra from swath-altimetry SAR spectra at incident angles of ∼4°. Comparable to side-looking SAR ocean processing, the cross-spectral analysis for nadir signals reduces noise and might remove the 180° ambiguity of the wave direction. Since the synthetic aperture length of nadir altimeters is larger than sidelooking imaging SARs (e.g., Sentinel-1, RadarSat, Gaofen-3), sublook processing can be performed to compute multiple cross-spectra for the same scene. With a slightly changing observation geometry, the cross-spectra reveal slightly different parts of the ocean-wave spectrum. The resulting stack of cross-spectra can thus be used to improve the retrieval of ocean-wave parameters. Retrieved ocean-wave parameters shall then enhance the sampling of the global wave field, but also serve to advance more consistent sea-state-bias corrections.

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