A web-based platform for automatic and continuous landslide monitoring: The Rotolon (Eastern Italian Alps) case study

Frigerio, Simone; Schenato, Luca; Bossi, Giulia; Cavalli, Marco; Mantovani, Matteo; Marcato, Gianluca; Pasuto, Alessandro

doi:10.1016/j.cageo.2013.10.015

Cited by 48 publications

(36 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the presented case study the 2-year continuous GB-InSAR monitoring campaign made it possible to measure the slope displacement with millimetric accuracy over a 1.2 km square landslide area, enabling the analyses of the evolution pattern connected to the landslide residual hazard. The measured deformation pattern was almost always consistent, in terms of extent and values, with the results obtained in some specific benchmark by an auto- mated total station monitoring network (Frigerio et al, 2014;Bossi et al, 2015), working approximately in parallel with the GB-InSAR system.…”

Section: Discussionsupporting

confidence: 81%

“…This last point was achievable thanks to the ability of the radar output data to be integrated and promptly analysed in a commensurable manner with records from different devices. In this specific case they were represented by traditional instruments (one total station with a benchmarks network, one rain gauge, and six extensometers; Frigerio et al, 2014) operated by the Research Institute for Geo-Hydrological Protection of the Italian National Research Council (IRPI-CNR). To define these stability thresholds, since there was no a previous knowledge of the phenomenon behaviour, a deeper inspection of cumulated images (incremental method) and interferograms (rolling method) were carried out in the first month of activity in seven sectors visible from the station and characterized by high reflectivity (mainly rocky and bare terrains), including the landslide area and all the surrounding slopes, which were considered stable (A-G in Fig.…”

Section: The Gb-insar Technique: Basic Theoretical Principlesmentioning

confidence: 99%

See 1 more Smart Citation

GB-InSAR monitoring of slope deformations in a mountainous area affected by debris flow events

Frodella

Salvatici

Pazzi

et al. 2017

Nat. Hazards Earth Syst. Sci.

View full text Add to dashboard Cite

Abstract. Diffuse and severe slope instabilities affected the whole Veneto region (north-eastern Italy) between 31 October and 2 November 2010, following a period of heavy and persistent rainfall. In this context, on 4 November 2010 a large detrital mass detached from the cover of the Mt. Rotolon deep-seated gravitational slope deformation (DSGSD), located in the upper Agno River valley, channelizing within the Rotolon Creek riverbed and evolving into a highly mobile debris flow. The latter phenomena damaged many hydraulic works, also threatening bridges, local roads, and the residents of the Maltaure, Turcati, and Parlati villages located along the creek banks and the town of Recoaro Terme. From the beginning of the emergency phase, the civil protection system was activated, involving the National Civil Protection Department, Veneto Region, and local administrations' personnel and technicians, as well as scientific institutions. On 8 December 2010 a local-scale monitoring system, based on a ground-based interferometric synthetic aperture radar (GBInSAR), was implemented in order to evaluate the slope deformation pattern evolution in correspondence of the debris flow detachment sector, with the final aim of assessing the landslide residual risk and managing the emergency phase. This paper describes the results of a 2-year GB-InSAR monitoring campaign (December 2010-December 2012) and its application for monitoring, mapping, and emergency management activities in order to provide a rapid and easy communication of the results to the involved technicians and civil protection personnel, for a better understanding of the landslide phenomena and the decision-making process in a critical landslide scenario.

show abstract

Section: Discussionsupporting

confidence: 81%

Section: The Gb-insar Technique: Basic Theoretical Principlesmentioning

confidence: 99%

GB-InSAR monitoring of slope deformations in a mountainous area affected by debris flow events

Frodella

Salvatici

Pazzi

et al. 2017

Nat. Hazards Earth Syst. Sci.

View full text Add to dashboard Cite

show abstract

“…Additionally, in order to improve the effectiveness of an EWS, the response of the population living in this study area needs to taken into consideration. We reference successful examples, e.g., Baum and Godt (2009) ;Guzzetti et al (2007b); Segoni et al (2015);and Frigerio et al (2014). A corresponding four-color-coded scale (blue, yellow, orange, and red) of warning levels is shown in Figs.…”

Section: Example Of Applicationmentioning

confidence: 99%

Determination of rainfall thresholds for shallow landslides by a probabilistic and empirical method

Jian

Liao

et al. 2015

Nat. Hazards Earth Syst. Sci.

View full text Add to dashboard Cite

Abstract. Rainfall-induced landslides not only cause property loss, but also kill and injure large numbers of people every year in mountainous areas in China. These losses and casualties may be avoided to some extent with rainfall threshold values used in an early warning system at a regional scale for the occurrence of landslides. However, the limited availability of data always causes difficulties. In this paper we present a method to calculate rainfall threshold values with limited data sets for two rainfall parameters: hourly rainfall intensity and accumulated precipitation. The method has been applied to the Huangshan region, in the province of Anhui, China. Four early warning levels (zero, outlook, attention, and warning) have been adopted and the corresponding rainfall threshold values have been defined by probability lines. A validation procedure showed that this method can significantly enhance the effectiveness of a warning system, and finally reduce and mitigate the risk of shallow landslides in mountainous regions.

show abstract

“…Therefore, all previous studies of the Rotolon landslide were aimed at characterizing the landslide morphological features, assessing the landslide residual displacements, and supporting local authorities in emergency management. In fact, a GB-InSAR monitoring system [25,27] and an automatic monitoring network and early-warning system [22] were installed, and accurate geomorphological field surveys [15] and infrared thermographic (IRT) analysis [18,32] were carried out. Moreover, a 3D landslide runout numerical model was used to identify the source and impact areas of potential debris flow events, flow velocity and deposit distribution within the Rotolon creek valley [16,33].…”

Section: Introductionmentioning

confidence: 99%

“…In the short term, conventional DSGSD displacement monitoring methods are usually adopted, which provide information on a limited number of points (geotechnical in situ instrumentation such as inclinometers and extensometers, topographic or GPS surveys) [14,21,22], but usually the obtained data are insufficient to assess whole landslide kinematics and behaviour [21] or estimate expected collapse time [20]. Therefore, advanced remote sensing methodologies that are chiefly based on satellite, aerial and terrestrial technologies have gained widespread recognition as efficient tools for characterizing and monitoring landslide-affected areas in terms of resolution, accuracy, data visualization, management, and reproducibility [14,[23][24][25][26].…”

Section: Introductionmentioning

confidence: 99%

Kinematic Reconstruction of a Deep-Seated Gravitational Slope Deformation by Geomorphic Analyses

et al. 2018

View full text Add to dashboard Cite

On 4 November 2010, a deep-seated gravitational slope deformation (North Italy) reactivated with sudden ground movement. A 450,000 m 2 mountainous area moved some metres downslope, but the undeniable signs were only connected to the triggering of a debris flow from the bulging area's detrital cover and the presence of a continuous perimeter fracture near the crown area. Based on two detailed LiDAR surveys (2 m × 2 m) performed just a few days before and after the event, a quantitative topographic analysis was performed in a GIS environment, integrating morphometric terrain parameters (slope, aspect, surface roughness, hill shade, and curvature). The DEMs analysis highlighted some morphological changes related to deeper as well as shallow movements. Both global and sectorial displacements were widely verified and discussed, finally inferring that the geometry, persistence, and layout of all movements properly justify each current morphostructure, which has the shape of a typical Sackung-type structure with impulsive kinematics. Moreover, a targeted field survey allowed specific clues to be found that confirmed the global deduced dynamics of the slope deformation. Finally, thanks to a ground-based interferometric radar system (GB-InSAR) that was installed a few days after the reactivation, the residual deep-seated gravitational slope deformation (DSGSD) movements were also monitored. In the landslide lower bulging area, a localized material progression of small entities was observed for some months after the parossistic event, indicating a slow dissipation of forces in sectors more distant from the crown area.

show abstract

A web-based platform for automatic and continuous landslide monitoring: The Rotolon (Eastern Italian Alps) case study

Cited by 48 publications

References 34 publications

GB-InSAR monitoring of slope deformations in a mountainous area affected by debris flow events

GB-InSAR monitoring of slope deformations in a mountainous area affected by debris flow events

Determination of rainfall thresholds for shallow landslides by a probabilistic and empirical method

Kinematic Reconstruction of a Deep-Seated Gravitational Slope Deformation by Geomorphic Analyses

Contact Info

Product

Resources

About