Using GB-SAR technique to monitor slow moving landslide

Noferini, L.; Pieraccini, Massimiliano; Mecatti, D.; Macaluso, G.; Atzeni, C.; Mantovani, Matteo; Marcato, Gianluca; Pasuto, Alessandro; Silvano, S.; Tagliavini, F.

doi:10.1016/j.enggeo.2007.09.002

Cited by 94 publications

(47 citation statements)

References 16 publications

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“…Several applications on different types of landslides have been accomplished in Italy: complex movements [190,194]; slow moving landslides [195]; DSGDs [192,196,197]; and volcano slope instabilities [198]. In some cases, permanent GBSAR installations are used in the current practice of landslide monitoring, not only for scientific purpose.…”

Section: Microwave Remote Sensingmentioning

confidence: 99%

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Remote Sensing for Landslide Investigations: An Overview of Recent Achievements and Perspectives

et al. 2014

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Landslides represent major natural hazards, which cause every year significant loss of lives and damages to buildings, properties and lifelines. In the last decades, a significant increase in landslide frequency took place, in concomitance to climate change and the expansion of urbanized areas. Remote sensing techniques represent a powerful tool for landslide investigation: applications are traditionally divided into three main classes, although this subdivision has some limitations and borders are sometimes fuzzy. The first class comprehends techniques for landslide recognition, i.e., the mapping of past or active slope failures. The second regards landslide monitoring, which entails both ground deformation measurement and the analysis of any other changes along time (e.g., land use, vegetation cover). The third class groups methods for landslide hazard analysis and forecasting. The aim of this paper is to give an overview on the applications of remote-sensing techniques for the three categories of landslide investigations, focusing on the achievements of the last decade, being that previous studies have already been exhaustively reviewed in the existing literature. At the end of the paper, a new classification of remote-sensing techniques that may be pertinently adopted for investigating specific typologies of soil and rock slope failures is proposed.

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Section: Microwave Remote Sensingmentioning

confidence: 99%

“…In the literature, there are some case studies in which deformations of slow-moving landslides have been measured with GBSAR [192,[195][196][197].…”

Section: Deep-seated Landslidesmentioning

confidence: 99%

Remote Sensing for Landslide Investigations: An Overview of Recent Achievements and Perspectives

et al. 2014

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“…Since neither historical accounts nor geomorphic evidence suggest any acceleration of mass movement within the landslide terrain in the Kamienne Mountains in recent times. Possible analogues are slow-moving landslides, where the mean annual rate of movement is from less than 1 mm (Klimeš et al, 2012), to centimetres or tens of centimetres (Noferini et al, 2007;Fernández-Merodo et al, 2014;Klimeš et al, 2012;Handwerger et al, 2013;Grana and Tommasi, 2014), possibly up to 1-1.5 m (Handwerger et al, 2013;De Vita et al, 2013;García-Davalillo et al, 2014). In these cases, slight tilting and bending of stems, similar to that recognized in the study area, are the only visible manifestations of ground deformation (e.g.…”

Section: Deciphering the Nature Of Ground Movementmentioning

confidence: 51%

“…Baroň et al, 2011Baroň et al, : in 2010, in the Czech Carpathians colluvia were transported 253 m downslope during only a few hours - Fig. 1a) compared with slow-moving landslides, where the rate of movement may be less than a centimetre per year (Noferini et al, 2007;Massey et al, 2013). In the long-term, however, even such a subtle mass transfer may become significant for both the evolution of hillslopes and hazard and risk assessment.…”

Section: Introductionmentioning

confidence: 97%

“…These include satellite monitoring (Peyret et al, 2008;Cascini et al, 2009;Herrera et al, 2013;García-Davalillo et al, 2014), remote sensing (Hervás et al, 2003;Noferini et al, 2007;Razak et al, 2011;De Vita et al, 2013), repetitive geodetic surveys (Peyret et al, 2008;Macfarlane, 2009;De Vita et al, 2013), and hydrogeological monitoring (Greif et al, 2006;Macfarlane, 2009;Klimeš et al, 2012;Di Maio et al, 2013;De Vita et al, 2013;Grana and Tommasi, 2014). Dendrochronology provides another method, with the advantage that this usually covers a longer time period than any of the instrumental methods.…”

Section: Introductionmentioning

confidence: 99%

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Activity of Slow-Moving Landslides Recorded in Eccentric Tree Rings of Norway Spruce Trees (<i>Picea Abies</i> Karst.) — An Example from the Kamienne MTS. (Sudetes MTS., Central Europe)

et al. 2016

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Abstract:We found ubiquitous evidence of ongoing slope instability by analysing the variability of tree-ring eccentricity index in trees growing on three apparently relict landslide slopes in the Sudetes (Poland, Central Europe). Slow movement of these landslide bodies occurs in the present-day conditions and is recorded almost every year, although with variable intensity. Correlation of dendrochronological record with the rainfall record from a nearby station in Mieroszów for the 1977-2007 period is very poor for two deep-seated rotational slides at Mt Suchawa and Mt Turzyna but considerably better for a shallow flowslide at Mt Garbatka. While this may reflect higher permeability of heavily jointed rocks involved in deep-seated sliding this could be linked with imperfections in the rainfall record. Dendrochronology proved capable of detecting minor displacements within landslides which otherwise show no geomorphic evidence of recent activity. Therefore, claims for the entirely relict nature of the landslides are not substantiated.

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Terrestrial laser scanning of rock slope instabilities

Abellán

Oppikofer

Jaboyedoff

et al. 2013

Earth Surf Processes Landf

287

176

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This manuscript presents a review on the application of a remote sensing technique (terrestrial laser scanning, TLS) to a well-known topic (rock slope characterization and monitoring). Although the number of publications on the use of TLS in rock slope studies has rapidly increased in the last 5-10 years, little effort has been made to review the key developments, establish a code of best practice and unify future research approaches. The acquisition of dense 3D terrain information with high accuracy, high data acquisition speed and increasingly efficient post-processing workflows is helping to better quantify key parameters of rock slope instabilities across spatial and temporal scales ranging from cubic decimetres to millions of cubic metres and from hours to years, respectively. Key insights into the use of TLS in rock slope investigations include: (a) the capability of remotely obtaining the orientation of slope discontinuities, which constitutes a great step forward in rock mechanics; (b) the possibility to monitor rock slopes which allows not only the accurate quantification of rockfall rates across wide areas but also the spatio-temporal modelling of rock slope deformation with an unprecedented level of detail. Studying rock slopes using TLS presents a series of key challenges, from accounting for the fractal character of rock surface to detecting the precursory deformation that may help in the future prediction of rock failures. Further investigation on the development of new algorithms for point cloud filtering, segmentation, feature extraction, deformation tracking and change detection will significantly improve our understanding on how rock slopes behave and evolve. Perspectives include the use of new 3D sensing devices and the adaptation of techniques and methods recently developed in other disciplines as robotics and 3D computer-vision to rock slope instabilities research.

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Using GB-SAR technique to monitor slow moving landslide

Cited by 94 publications

References 16 publications

Remote Sensing for Landslide Investigations: An Overview of Recent Achievements and Perspectives

Remote Sensing for Landslide Investigations: An Overview of Recent Achievements and Perspectives

Activity of Slow-Moving Landslides Recorded in Eccentric Tree Rings of Norway Spruce Trees (<i>Picea Abies</i> Karst.) — An Example from the Kamienne MTS. (Sudetes MTS., Central Europe)

Terrestrial laser scanning of rock slope instabilities

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