Snow Water Equivalent Estimation Using Differential SAR Interferometry and Co-Polar Phase Differences from Airborne SAR Data

Belinska, Kristina; Fischer, Georg; Nägler, Thomas; Hajnsek, Irena

doi:10.1109/igarss46834.2022.9883110

Cited by 2 publications

(4 citation statements)

References 6 publications

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“…e.g. [13], [31], [95] which use the HH-VV ordering, and [11], [48], [96], [97] where VV-HH ordering is used).…”

Section: F Sign Of the Phase Differencesmentioning

confidence: 99%

Polarimetric Analysis of Biseasonal Monostatic and Bistatic Radar Observations of a Glacier Accumulation Zone at Ku-Band

Stefko,

Bernhard,

Frey

et al. 2024

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

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We present ground-based Ku-band radar observations of the snow cover on top of the Great Aletsch Glacier carried out over two observation periods, in August 2021 and in March 2022. The observations were carried out with the combined mono/bistatic version of KAPRI, a full-polarimetric radar system, and revealed substantial differences between the scattering behaviour of the snow cover between the two seasons. We analyze the spatial and temporal behaviour of parameters including temporal decorrelation, the scattering entropy, the mean polarimetric alpha angle, and the co-and cross-polarized phase differences. The results indicate that snow cover decorrelates at Ku-band on the timescales of 4-12 hours in winter and summer, which has implications for repeat-pass methods with long temporal baselines. The analysis of the co-polarized phase difference in winter indicates that the parameter is prone to phase wrapping. In summer, its value exhibits smooth spatial trend and a strong sensitivity to changes in incidence angle and liquid water content. The bistatic cross-polarized phase difference also acquires a non-zero value, indicating the presence of non-reciprocal scattering, which has implications for possible calibration procedures of bistatic systems. The presented results aim to serve as a reference for snow scattering behaviour at Ku-band, which can aid planning of future data acquisition campaigns and satellite missions.

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“…e.g. [13], [31], [95] which use the HH-VV ordering, and [11], [48], [96], [97] where VV-HH ordering is used).…”

Section: F Sign Of the Phase Differencesmentioning

confidence: 99%

Polarimetric Analysis of Biseasonal Monostatic and Bistatic Radar Observations of a Glacier Accumulation Zone at Ku-Band

Stefko,

Bernhard,

Frey

et al. 2024

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

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“…The decorrelation increases significantly for higher frequencies and longer temporal baselines. Several studies show a fairly good conservation of coherence at L band [3]. At C band and X band, severe decorrelation has been reported, especially for the 12 and 11 day repeat cycle of Sentinel-1 and TanDEM-X, respectively.…”

Section: Introductionmentioning

confidence: 95%

“…The concept relies on the penetration capability through snow at microwave frequencies and an almost linear dependence of the D-InSAR phase to a change in snow height and density between the repeat acquisitions. It has been stated in several experiments that temporal decorralation is the main limiting factor in D-InSAR SWE retrieval [1][2][3]. The decorrelation increases significantly for higher frequencies and longer temporal baselines.…”

Section: Introductionmentioning

confidence: 99%

“…The potential of differential SAR interferometry (D-InSAR) to measure snow parameters -in particular, the snow water equivalent (SWE)-has been demonstrated in several studies [1][2][3]. The concept relies on the penetration capability through snow at microwave frequencies and an almost linear dependence of the D-InSAR phase to a change in snow height and density between the repeat acquisitions.…”

Section: Introductionmentioning

confidence: 99%

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On the Decorrelation Effect of Dry Snow in Differential SAR Interferometry

Benedikter,

Rodriguez-Cassola,

Prats-Iraola

et al. 2023

IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium

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Plenty of data records demonstrate that differential InSAR acquisitions of snow covered areas are often affected by severe temporal decorrelation, complicating the estimation of snow physical parameters such as the snow water equivalent. The decorrelation effect is commonly attributed to a change in the underlying scattering center distribution due to melting/refreezing, compacting of snow, or redistribution of underlying vegetation. We demonstrate that a mere change of the dielectric constant of a dry snow cover may lead to severe decorrelation, even without a change in scatterer distribution, which provides additional opportunities for the estimation of snow parameters. In this paper, a first discussion of the snow-induced decorrelation effect is provided and the derived model is evaluated against Sentinel-1 12-day coherence data using SWE measurements provided by the Copernicus Global Land Service.

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Snow Water Equivalent Estimation Using Differential SAR Interferometry and Co-Polar Phase Differences from Airborne SAR Data

Cited by 2 publications

References 6 publications

Polarimetric Analysis of Biseasonal Monostatic and Bistatic Radar Observations of a Glacier Accumulation Zone at Ku-Band

Polarimetric Analysis of Biseasonal Monostatic and Bistatic Radar Observations of a Glacier Accumulation Zone at Ku-Band

On the Decorrelation Effect of Dry Snow in Differential SAR Interferometry

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