Temporal analysis of a landslide by means of a ground-based SAR interferometer

Leva, D.; Nico, Giovanni; Tarchi, D.; Fortuny-Guasch, J.; Sieber, A.J.

doi:10.1109/tgrs.2003.808902

Cited by 189 publications

(64 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Today, several ground-based radar systems are available, operating in C [22]- [24], X [25], [26] or Ku band [22], [23], [27], [28]. The majority of these systems are based on aperture synthesis, using a moving antenna on a rail.…”

Section: A State Of the Artmentioning

confidence: 99%

Polarimetric Calibration of the Ku-Band Advanced Polarimetric Radar Interferometer

Baffelli

Frey

Werner

et al. 2018

IEEE Trans. Geosci. Remote Sensing

View full text Add to dashboard Cite

Abstract-Differential interferometry using groundbased radar systems permits to monitor displacements in natural terrain with high flexibility in location, time of acquisition and revisit time. In combination with polarimetric imaging, discrimination of different scattering mechanisms present in a resolution cell can be obtained simultaneously with the estimation of surface displacement. In this paper we present the pre-processing steps and the calibration procedure required to produce high-quality calibrated polarimetric single-look complex imagery with KAPRI, a new portable Ku-band polarimetric radar interferometer. The processing of KAPRI data into SLC images is addressed, including the correction of beam squint and of azimuthal phase variations. A polarimetric calibration model adapted to the acquisition mode is presented and used to produce calibrated polarimetric covariance matrix data. The methods are validated by means of a scene containing five trihedral corner reflectors. Data pre-processing is assessed by analyzing the oversampled response of a corner reflector and the polarimetric calibration quality is verified by computing polarimetric signatures and residual calibration parameters.

show abstract

Section: A State Of the Artmentioning

confidence: 99%

Polarimetric Calibration of the Ku-Band Advanced Polarimetric Radar Interferometer

Baffelli

Frey

Werner

et al. 2018

IEEE Trans. Geosci. Remote Sensing

View full text Add to dashboard Cite

show abstract

“…In the late 1990s and early 2000s, several innovation occurred in the SAR field such as the development of innovative approaches for satellite data processing based on data stacking (Ferretti et al 2001) and the development of the first ground-based SAR equipment prototypes. Over the last 10 years, both satellite and terrestrial InSAR have been extensively used for landslide monitoring, thus demonstrating their efficacy (Pieraccini et al 2002;Leva et al 2003;Tarchi et al 2003;Antonello et al 2004;Hilley et al 2004;Strozzi et al 2005;Noferini et al 2005;Casagli et al 2006;Colesanti and Wasowski 2006;Farina et al 2006;Herrera et al 2009;Bozzano et al 2010;Intrieri et al 2012).…”

Section: Landslide Monitoring By Terrestrial Sar Interferometrymentioning

confidence: 99%

New insights into the temporal prediction of landslides by a terrestrial SAR interferometry monitoring case study

et al. 2014

View full text Add to dashboard Cite

Ten small rock slides (with a volume ranging from 10 1 to 10 3 m 3 ) on a slope affected by working activities were detected, located, and timed using pictures collected by an automatic camera during 40months of continuous monitoring with terrestrial SAR interferometry (TInSAR). These landslides were analyzed in detail by examining their pre-failure time series of displacement inferred from high-sampling frequency (approximately 5min) TInSAR monitoring. In most of these cases, a typical creep behavior was observed with the displacement starting 370 to 12h before the collapse. Additionally, an evident acceleration decrease of the displacement a few hours before the failure was observed in some rock/debris slides, thus suggesting the possibility of a mechanical feature of the slope that differs from the classical creep theory. The efficacy of the linear Fukuzono approach for the prediction of time of failure was tested by back-analyzing the ten landslides. Furthermore, a modified Fukuzono approach named average data Fukuzono (ADF) was implemented and applied to our dataset. Such an approach is able to improve forecasting effectiveness by reducing the error due to anomalies in the time series of displacement, like the acceleration decrease before failure. A prediction with a temporal accuracy of at least 2h was obtained for all the analyzed rock/debris slides.

show abstract

“…The radar data were gridded on a regular 2×2 m Cartesian grid (Leva et al, 2003), which is smaller than the theoretical resolution of the system (1.9×4-6.5 m, Table 1). This interpolation is used to prevent aliasing during later processing, but also means that the images cannot be interpreted on the level of single pixels.…”

Section: Gb-dinsar Data Acquisition and Processing At The Randa Instamentioning

confidence: 99%

Identification of active release planes using ground-based differential InSAR at the Randa rock slope instability, Switzerland

Gischig

Loew

Kos

et al. 2009

Nat. Hazards Earth Syst. Sci.

View full text Add to dashboard Cite

Abstract. Five ground-based differential interferometric synthetic aperture radar (GB-DInSAR) surveys were conducted between 2005 and 2007 at the rock slope instability at Randa, Switzerland. Resultant displacement maps revealed, for the first time, the presence of an active basal rupture zone and a lateral release surface daylighting on the exposed 1991 failure scarp. Structures correlated with the boundaries of interferometric displacement domains were confirmed using a helicopter-based LiDAR DTM and oblique aerial photography. Former investigations at the site failed to conclusively detect these active release surfaces essential for kinematic and hazard analysis of the instability, although their existence had been hypothesized. The determination of the basal and lateral release planes also allowed a more accurate estimate of the currently unstable volume of 5.7±1.5 million m 3 . The displacement patterns reveal that two different kinematic behaviors dominate the instability, i.e. toppling above 2200 m and translational failure below. In the toppling part of the instability the areas with the highest GB-DInSAR displacements correspond to areas of enhanced micro-seismic activity. The observation of only few strongly active discontinuities daylighting on the 1991 failure surface points to a rather uniform movement in the lower portion of the instability, while most of the slip occurs along the basal rupture plane. Comparison of GB-DInSAR displacements with mapped discontinuities revealed correlations between displacement patterns and active structures, although spatial offsets occur as a result of the effective resolution of GBDInSAR. Similarly, comparisons with measurements from total station surveys generally showed good agreement. Discrepancies arose in several cases due to local movement of blocks, the size of which could not be resolved using GBDInSAR.

show abstract

Temporal analysis of a landslide by means of a ground-based SAR interferometer

Cited by 189 publications

References 14 publications

Polarimetric Calibration of the Ku-Band Advanced Polarimetric Radar Interferometer

Polarimetric Calibration of the Ku-Band Advanced Polarimetric Radar Interferometer

New insights into the temporal prediction of landslides by a terrestrial SAR interferometry monitoring case study

Identification of active release planes using ground-based differential InSAR at the Randa rock slope instability, Switzerland

Contact Info

Product

Resources

About