Sentinel-1 and Ground-Based Sensors for Continuous Monitoring of the Corvara Landslide (South Tyrol, Italy)

Darvishi, Mehdi; Schlögel, Romy; Kofler, Christian; Cuozzo, Giovanni; Rutzinger, Martin; Zieher, Thomas; Toschi, I.; Remondino, Fabio; Mejía-Aguilar, Abraham; Thiebes, Benni; Bruzzone, Lorenzo

doi:10.3390/rs10111781

Cited by 25 publications

(12 citation statements)

References 43 publications

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“…This Alpine region is characterized by the presence of several active landslides ranging between flank-scale Deep Seated Gravitational Slope Deformations (DSGSD) to rockfalls and rockslides [60][61][62][63][64][65][66]. One of the first applications of InSAR to assess the state of activity of a rockslide comes from this province (Ruinon landslide, Santa Caterina Valfurva municipality [67][68][69][70][71][72][73][74][75][76][77][78][79]).…”

Section: Spatial Distribution Of the Insar Applicationsmentioning

confidence: 99%

“…In Trentino-Alto Adige, the Corvara complex landslide (Bolzano Province) has been widely studied by means of InSAR. Corner reflectors, specifically designed for the installation in a high mountain environment, were deployed on the landslide to increase the number and quality of measurement points [76][77][78][79]. A unique application of satellite interferometry comes from the Adige River Valley (Lavini di Marco site, Trento Province [80]), where InSAR was used to study slope buckling.…”

Section: Spatial Distribution Of the Insar Applicationsmentioning

confidence: 99%

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Review of Satellite Interferometry for Landslide Detection in Italy

et al. 2020

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Landslides recurrently impact the Italian territory, producing huge economic losses and casualties. Because of this, there is a large demand for monitoring tools to support landslide management strategies. Among the variety of remote sensing techniques, Interferometric Synthetic Aperture Radar (InSAR) has become one of the most widely applied for landslide studies. This work reviews a variety of InSAR-related applications for landslide studies in Italy. More than 250 papers were analyzed in this review. The first application dates back to 1999. The average production of InSAR-related papers for landslide studies is around 12 per year, with a peak of 37 papers in 2015. Almost 70% of the papers are written by authors in academia. InSAR is used (i) for landslide back analysis (3% of the papers); (ii) for landslide characterization (40% of the papers); (iii) as input for landslide models (7% of the papers); (iv) to update landslide inventories (15% of the papers); (v) for landslide mapping (32% of the papers), and (vi) for monitoring (3% of the papers). Sixty-eight percent of the authors validated the satellite results with ground information or other remote sensing data. Although well-known limitations exist, this bibliographic overview confirms that InSAR is a consolidated tool for many landslide-related applications.

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Section: Spatial Distribution Of the Insar Applicationsmentioning

confidence: 99%

Section: Spatial Distribution Of the Insar Applicationsmentioning

confidence: 99%

Review of Satellite Interferometry for Landslide Detection in Italy

et al. 2020

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“…This landslide frequently causes damages to the national road SS 244, the ski infrastructures, and the nearby golf course. The Corvara landslide has been monitored for several decades by different systems [31]- [33]. Eighteen Sentinel-1A/B images in descending orbit and interferometric wide swath mode covering from July 22 to November 1 in 2017 at the same acquisition time (5:18 A.M. UTC) were collected over the Corvara landslide.…”

Section: Case Study and Datasetmentioning

confidence: 99%

Performance Evaluation of Phase and Weather-Based Models in Atmospheric Correction With Sentinel-1Data: Corvara Landslide in the Alps

Darvishi

Cuozzo

Bruzzone

et al. 2020

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

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Phase delay caused by atmospheric effects due to spatial and temporal variations of pressure, temperature, and water vapor content is one of the major error sources in estimation of ground deformation by interferometric synthetic aperture radar (InSAR>). Therefore, accuracy of ground deformation measurement is highly contingent on the robustness of the atmospheric correction techniques. These techniques rely either on auxiliary data such as numerical weather models (NWMs) or on the analysis of the interferometric phase itself. The accuracy in phase delays estimation of mixing effects of turbulent delay in atmosphere and stratified delay in lower troposphere is a key factor in determination of performance of each technique. Hence, the performance evaluation of the techniques is required in order to assess their potentials, robustness, and limitations. This article analyzes and evaluates the performance of four NWMs (i.e., ERA-Interim, ERA5, MERRA2, and WRF) and two phase-based techniques (i.e., linear and power law) to estimate phase delay using Sentinel-1A/B data over the Corvara landslide located in the Alps. The GPS data and GACOS product were used to validate the results. We generally found that ERA5 outperformed among other weather models with a phase standard deviation reduction of 77.7% (with respect to the InSAR phase), a correlation coefficient of 0.86 (between InSAR phase and estimated tropospheric delay) and a less significant error in the velocity estimation of the landslide.

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“…The new monitoring approach is an important complement to the traditional geodetic surveying methods [12]. D-InSAR is widely applied to detect and monitor earthquake deformation [13], glacial shift [14], volcanic activity [15], and landslides [16], as well as man-made activities such as mining subsidence [17] and urban settlement caused by groundwater overdraft [18]. However, the unavoidable influences of the temporal and spatial decorrelation and atmospheric delay have brought restrictions on its application, especially on mining areas vulnerable to decorrelation.…”

Section: Figure 1 (A)mentioning

confidence: 99%

Mining-Induced Time-Series Deformation Investigation Based on SBAS-InSAR Technique: A Case Study of Drilling Water Solution Rock Salt Mine

Liu

Xing

Wen

et al. 2019

Sensors

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Compared to traditional coal mines, the mining-induced dynamic deformation of drilling solution mining activities may result in even more serious damage to surface buildings and infrastructures due to the different exploitation mode. Therefore, long-term dynamic monitoring and analysis of rock salt mines is extremely important for preventing potential geological damages. In this work, the small baseline subset Interferometric Synthetic Aperture Radar (SBAS-InSAR) technique with Sentinel−1A imagery is utilized to monitor the ground surface deformation of a rock salt mining area. The time-series analysis is carried out to obtain the spatial-temporal characteristics of land subsidence caused by drilling solution mining activities. A typical rock salt mine in Changde, China is selected as the test site. Twenty-four scenes of Sentinel−1A image data acquired from June 2015 to January 2017 are used to obtain the time-series subsidence of the test mine. The temporal-spatial evolution of the derived settlement funnels is revealed. The time-series deformation on typical feature points has been analyzed. Experimental results show that the obtained drilling solution mining-induced subsidence has a spatial characteristic of multiplied peaks along the transversal direction. Temporally, the large-scale surface settlement for the rock salt mine area begins to appear in September 2016, with a time lag of 8 months, and shows an obvious seasonal fluctuation. The maximum cumulative subsidence is detected up to 199 mm. These subsiding characteristics are consistent with the connected groove mining method used in drilling water solution mines. To evaluate the reliability of the results, the SBAS-derived results are compared with the field-leveling measurements. The estimated root mean square error (RMSE) of ±11 mm indicates a high consistency.

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Sentinel-1 and Ground-Based Sensors for Continuous Monitoring of the Corvara Landslide (South Tyrol, Italy)

Cited by 25 publications

References 43 publications

Review of Satellite Interferometry for Landslide Detection in Italy

Review of Satellite Interferometry for Landslide Detection in Italy

Performance Evaluation of Phase and Weather-Based Models in Atmospheric Correction With Sentinel-1Data: Corvara Landslide in the Alps

Mining-Induced Time-Series Deformation Investigation Based on SBAS-InSAR Technique: A Case Study of Drilling Water Solution Rock Salt Mine

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