Efficient Approach for Atmospheric Phase Screen Mitigation in Time Series of Terrestrial Radar Interferometry Data Applied to Measure Glacier Velocity

Izumi, Yuta; Frey, Othmar; Baffelli, Simone; Hajnsek, Irena; Suzuki, Motoyuki

doi:10.1109/jstars.2021.3099873

Cited by 6 publications

(2 citation statements)

References 59 publications

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“…If the location of an object relative to the radar instrument does not change and all other influences are constant, the phase value in the corresponding bins of the radar image remains the same for subsequent measurements. However, in most practical situations, drifts caused by changing environmental conditions (e.g., temperature and humidity [42,43]) as well as instrumental effects (e.g., stability of tripod and sensor chip temperature) are to be expected on top of noise. Figure 10a-d shows examples of time series of phase values acquired in the previously described indoor and outdoor experiments.…”

Section: Meteorological Impactsmentioning

confidence: 99%

MIMO-SAR Interferometric Measurements for Structural Monitoring: Accuracy and Limitations

2021

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Terrestrial Radar Interferometry (TRI) is a measurement technique capable of measuring displacements with high temporal resolution at high accuracy. Current implementations of TRI use large and/or movable antennas for generating two-dimensional displacement maps. Multiple Input Multiple Output Synthetic Aperture Radar (MIMO-SAR) systems are an emerging alternative. As they have no moving parts, they are more easily deployable and cost-effective. These features suggest the potential usage of MIMO-SAR interferometry for structural health monitoring (SHM) supplementing classical geodetic and mechanical measurement systems. The effects impacting the performance of MIMO-SAR systems are, however, not yet sufficiently well understood for practical applications. In this paper, we present an experimental investigation of a MIMO-SAR system originally devised for automotive sensing, and assess its capabilities for deformation monitoring. The acquisitions generated for these investigations feature a 180∘ Field-of-View (FOV), distances of up to 60 m and a temporal sampling rate of up to 400 Hz. Experiments include static and dynamic setups carried out in a lab-environment and under more challenging meteorological conditions featuring sunshine, fog, and cloud-cover. The experiments highlight the capabilities and limitations of the radar, while allowing quantification of the measurement uncertainties, whose sources and impacts we discuss. We demonstrate that, under sufficiently stable meteorological conditions with humidity variations smaller than 1%, displacements as low as 25m can be detected reliably. Detecting displacements occurring over longer time frames is limited by the uncertainty induced by changes in the refractive index.

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Section: Meteorological Impactsmentioning

confidence: 99%

MIMO-SAR Interferometric Measurements for Structural Monitoring: Accuracy and Limitations

2021

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“…Its bistatic capabilities were previously applied to investigate the occurrence of the coherent backscatter opposition effect in seasonal snow [22]. It was also previously used (in the monostatic configuration) to monitor the Alpine glacier Bisgletscher in the context of a geostatistical analysis of the spatial and temporal behaviors of the atmospheric phase screen (APS) in Ku-band [83], [84], as well as polarimetric analysis of natural terrain [85].…”

Section: Terrestrial Radar Instruments For Snow Investigationsmentioning

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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Multiple-input multiple-output radar, ground-based MIMO SAR for ground deformation monitoring

Mugnai

Tarchi

2022

European Journal of Remote Sensing

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Efficient Approach for Atmospheric Phase Screen Mitigation in Time Series of Terrestrial Radar Interferometry Data Applied to Measure Glacier Velocity

Cited by 6 publications

References 59 publications

MIMO-SAR Interferometric Measurements for Structural Monitoring: Accuracy and Limitations

MIMO-SAR Interferometric Measurements for Structural Monitoring: Accuracy and Limitations

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

Multiple-input multiple-output radar, ground-based MIMO SAR for ground deformation monitoring

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