Characterizing slope correction methods applied to satellite radar altimetry data: A case study around Dome Argus in East Antarctica

Hai, Gang; Xie, Huan; Du, Wei; Xia, Menglian; Tong, Xiaohua; Li, Rongxing

doi:10.1016/j.asr.2021.01.016

Cited by 5 publications

(9 citation statements)

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“…The scattering points of dHLRM-ATL06 are interpolated into gridded points with 1 km spacing using the natural neighbor method. Considering that the diameter of the beam-limited footprint of CS2 LRM reaches ~10 km [3,21,31], the topography fluctuation within each large footprint has an impact on the formed echo waveform from which the height is determined [3,31]. Therefore, the σdH of each 1 km grid point in the center is calculated based on the 11×11 grid points (~10 km) in the neighborhood.…”

Section: Discussionmentioning

confidence: 99%

“…Though routine's corrections (see Section II.B.) are applied by the ESA mission team to derive CryoSat-2 height product, residual errors of SE caused by large footprint [31,32] and penetration induced by radar signal [8,23] cannot be neglected. It is revealed that the SE cannot be eliminated completely over rough terrain [31,32].…”

Section: Discussionmentioning

confidence: 99%

“…are applied by the ESA mission team to derive CryoSat-2 height product, residual errors of SE caused by large footprint [31,32] and penetration induced by radar signal [8,23] cannot be neglected. It is revealed that the SE cannot be eliminated completely over rough terrain [31,32]. Though the SE declines when the terrain slope decreases, the SE is estimated to be ~3.5 m (in the case of ~2 km pulse-limited footprint) when the slope decreases to 0.1°, which is not ignorable compared to the results of CS2 assessment (see Section IV.).…”

Section: Discussionmentioning

confidence: 99%

“…4c). It is inferred that the slope-induced error (SE) cannot be removed completely over relatively rough terrain [31,32]. The spatial distribution of partial height differences of SIN-ATL06 within [-2, 0] m (Fig.…”

Section: B Sin/lrm-atl06mentioning

confidence: 99%

“…6b1). It is inferred that the error caused by roughness like SE within the large LRM footprint (~10 km [3,31]) cannot be ignored, especially over large terrain roughness. A fluctuating downward trend also occurs in the MD of LRM starting from the terrain roughness over ~2.5 m (Fig.…”

Section: B Sin/lrm-atl06mentioning

confidence: 99%

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Assessment of CryoSat-2 Baseline-D Height Product by GNSS and ICESat-2 in Lambert-Amery System, East Antarctica

Hai

Cheng

Xie

et al. 2022

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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CryoSat-2 repeatedly collects dense radar altimetry footprints covering high latitudes of the polar ice sheets for over 10 years. The Baseline-D height product of CryoSat-2 was recently upgraded and released in 2019. Based on the internal or locally external evaluation of CryoSat-2 Baseline-D ice heights, we extended the validation both heterogeneously and spatially to accomplish a comprehensive assessment. Firstly, reliable ice surface GNSS point solutions along the 36th Chinese National Antarctic Research Expedition traverse functioned as a height reference for comparison with the CryoSat-2 SAR synthetic aperture radar interferometric mode (SIN) data. Secondly, the Land Ice Along-Track Height product over Lambert-Amery System (LAS) from ICESat-2, was also applied to validate CryoSat-2 SIN and Low-Resolution Mode (LRM) data. As the results indicate, the SIN height accuracy is evaluated to be -1.68 m ± 2.35 m (slope < 0.65°) along the traverse and -0.96 ± 1.95 m (slope < 0.95° & roughness < 3 m) over the margin of LAS. The LRM height accuracy is evaluated to be -0.13 ± 0.46 m (slope < 0.1° & roughness < 1 m) over the interior of LAS. The standard deviation (SD) of the height differences degrades linearly against the limited growth of the terrain slope/roughness at the confidence level of 99%. It is worth noting that the spatially heterogeneous pattern of height differences is correlated with surface topography variations. This study should imply the potential to improve the estimation of mass balance and its uncertainty of polar ice sheets based on radar altimetry data.

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Section: Discussionmentioning

confidence: 99%