Pre- and post-failure dynamics of landslides in the Northern Apennines revealed by space-borne synthetic aperture radar interferometry (InSAR)

Squarzoni, Gabriela; Bayer, Benedikt; Franceschini, Silvia; Simoni, Alessandro

doi:10.1016/j.geomorph.2020.107353

Cited by 27 publications

(10 citation statements)

References 54 publications

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“…The Marano landslide reactivated catastrophically in March 2018, and the deformation signal is less evident (i.e., lower average displacement rate). In this case, the deformation takes place mostly during the first months of 2018 [8], while in the post-failure phase, only small displacements are observed. According to the regional landslide database, no other landslides were exhibited high displacement rates in the study area during the observation period.…”

Section: Insar Areal Analysismentioning

confidence: 86%

“…All of them are located inside the chaotic clay shales. One of these landslides (the Marano earthflow) occurred in March 2020 and has already been studied using radar interferometry [8]. The other three (Braina, Carbona, and Spareda) occurred in November-December 2019 and are the subject of this study.…”

Section: Study Areamentioning

confidence: 97%

“…Several multitemporal techniques, such as persistent scatterers interferometry [10,17,52], small baseline techniques [9][10][11][12][13][14][15][16][17][18], or hybrid approaches [53], were developed to address the problems of decorrelation and estimate different error terms of the phase. More recently, various authors [8,22,25] have shown that traditional two-pass interferometry can be successfully used to investigate gravitational slope movements thanks to shorter satellite revisit intervals and/or improved radar image quality.…”

Section: Synthetic Aperture Radar Interferometry (Insar): Techniques ...mentioning

confidence: 99%

“…A powerful technique for the displacements monitoring of large areas is the synthetic aperture radar interferometry (InSAR, DInSAR) that can measure the deformations of the landslide deposits during the slow-motion stage [8].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Deformation Detection in Cyclic Landslides Prior to Their Reactivation Using Two-Pass Satellite Interferometry

Ciuffi

Bayer²,

Berti

et al. 2021

Applied Sciences

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Landslides are widespread geological features in Italy’s Northern Apennines, with slow-moving earthflows among the most common types. They develop in fine-grained rocks and are subject to periodic rainfall-induced reactivations alternating to phases of dormancy. In this paper, we use radar interferometry (InSAR) and information about landslide activity to investigate deformation signals on an areal basis and to assess the dynamics of recently reactivated earthflows. We use traditional two-pass interferometry by taking advantage of the short revisit time of the Sentinel 1 satellite to characterize 4 years of slope deformations over the 60 km2 study area, where 186 landslides are mapped. Our results show that most intense and sustained deformation signals are associated with phenomena on the verge of reactivation, indicating that radar interferometry may have a potential for early warning purposes. By focusing on three specific earthflow reactivations, we analyze their dynamics through the years that preceded their failure. Despite inherent uncertainties, it was possible to retrieve the deformation signal’s temporal evolution, which displayed seasonally recurring accelerations, peaking during the major precipitation episodes in the area.

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Section: Insar Areal Analysismentioning

confidence: 86%

Section: Study Areamentioning

confidence: 97%

Section: Synthetic Aperture Radar Interferometry (Insar): Techniques ...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Deformation Detection in Cyclic Landslides Prior to Their Reactivation Using Two-Pass Satellite Interferometry

Ciuffi

Bayer²,

Berti

et al. 2021

Applied Sciences

Self Cite

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“…Surface deformation measurement is essential to understanding the evolution of landslides and the early warning of catastrophic damage [10][11][12][13][14]. However, due to the unpredictability, imperceptibility, and inaccessibility of many landslides, it is often impossible to obtain such information through traditional measurements (e.g., inclinometers, Global Positioning Systems (GPS), extensometers, total stations, and so on) [15].…”

Section: Introductionmentioning

confidence: 99%

Detecting Long-Term Deformation of a Loess Landslide from the Phase and Amplitude of Satellite SAR Images: A Retrospective Analysis for the Closure of a Tunnel Event

et al. 2021

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Information about the long-term spatiotemporal evolution of landslides can improve the understanding of landslides. However, since landslide deformation characteristics differ it is difficult to monitor the entire movement of a landslide using a single method. The Interferometric Synthetic Aperture Radar (InSAR) and pixel offset tracking (POT) method can complement each other when monitoring deformation at different landslide stages. Therefore, the InSAR and improved POT method were adapted to study the pre- and post-failure surface deformation characteristics of the Gaojiawan landslide to deepen understanding of the long-term spatiotemporal evolution characteristics of landslides. The results show that the deformation displacement gradient of the Gaojiawan landslide exhibited rapid movement that exceeded the measurable limit of InSAR during the first disaster. Moreover, the Gaojiawan landslide has experienced long-term creep, and while studying the post-second landslide’s failure stability, the acceleration trend was identified via time series analysis, which can be used as a precursor signal for landslide disaster warning. Our study aims to provide scientific reference for local governments to help prevent and mitigate geological disasters in this region.

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Geological Disaster: An Overview

Chen,

Zhong,

Qin

et al. 2023

Intelligent Interpretation for Geological Disasters

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Pre- and post-failure dynamics of landslides in the Northern Apennines revealed by space-borne synthetic aperture radar interferometry (InSAR)

Cited by 27 publications

References 54 publications

Deformation Detection in Cyclic Landslides Prior to Their Reactivation Using Two-Pass Satellite Interferometry

Deformation Detection in Cyclic Landslides Prior to Their Reactivation Using Two-Pass Satellite Interferometry

Detecting Long-Term Deformation of a Loess Landslide from the Phase and Amplitude of Satellite SAR Images: A Retrospective Analysis for the Closure of a Tunnel Event

Geological Disaster: An Overview

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