Monitoring and analysis of the exceptional displacements affecting debris at the top of a highly disaggregated rockslide

Carlà, Tommaso; Gigli, Giovanni; Lombardi, Luca; Nocentini, Massimiliano

doi:10.1016/j.enggeo.2021.106345

Cited by 18 publications

(19 citation statements)

References 36 publications

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“…Furthermore, it can be subdivided in two scarps: the upper one is a sub-vertical rock cliff of about 30 m in height, while the lower one is characterized by a more widespread debris cover (Figure 1). Over the years, a large lobe of chaotic debris has propagated towards the valley bottom, giving origin to secondary mass wasting processes in the form of rockfalls, debris flows, and shallow slumps (Carlà et al, 2021).…”

Section: Landslide Of Interestmentioning

confidence: 99%

Monitoring Landslide Displacements Through Maximum Cross-Correlation of Satellite Images

Amici

Yordanov

Oxoli

et al. 2022

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. Landslides are one of the most dangerous and disastrous geological hazard worldwide, posing threats to human life, infrastructures and to the natural environment. Consequently, monitoring active landslides is crucial in order to reduce the risk of damages and casualties. With this aim, this work proposes a way to compute landslide displacements through time, by exploiting the great availability of high quality multispectral satellite images. The developed procedure produces maps of displacement magnitude and direction by means of local cross-correlation of Earth Observation data from the Sentinel-2 and PlanetScope missions. The Ruinon landslide, an active landslide in Northern Lombardy, Italy, was selected as a case study. The workflow of the developed procedure is described, and the results are presented and discussed. Moreover, a validation of the analysis by comparison with UAV surveys of the landslide is reported, along with a discussion on future developments and improvements of this technique. This work was designed to be entirely based on free and open-source GIS software and to rely mainly on open data. These characteristics allow the proposed analysis to be easily replicated, customized, and empowered.

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Section: Landslide Of Interestmentioning

confidence: 99%

Monitoring Landslide Displacements Through Maximum Cross-Correlation of Satellite Images

Amici

Yordanov

Oxoli

et al. 2022

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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“…Most of the instrumentation installed on the slide area (mainly wire extensometers and borehole inclinometers) was therefore progressively damaged, leaving the GB-InSAR system as the sole operational tool for quantifying the slope displacements in space and time. This large set of data was exploited to directly or indirectly derive an updated assessment of the thickness of upper debris affected by greater deformation; the differences in deformation behaviour at different slide locations and depths; and the nature of hydrological forcing behind the recent reactivation phases (Carlà et al 2021). In particular, slope displacements were combined with groundwater level measurements from two standpipe piezometers located behind the upper limit of the slide area.…”

Section: Wp1mentioning

confidence: 99%

Advanced Technologies for Landslides—ATLaS (WCoE 2020–2023)

Tofani

Moretti

Fanti

et al. 2023

Progress in Landslide Research and Technology, Volume 1 Issue 1, 2022

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The UNESCO Chair on Prevention and Sustainable Management of Geo-Hydrological Hazards, University of Florence has been a member of the International Consortium on Landslides (ICL) since 2002. It was designated as one of World Centres of Excellence (WCoE) for Landslide Risk Reduction five times for 2008–2011, 2011–2014, 2014–2017, 2017–2020 and 2020–2023, with a project entitled “Advanced Technologies for Landslides”. In this paper, we describe the activities carried out by the UNESCO Chair as a member of ICL and as WCoE, and its contribution to the risk reduction policies promoted by the 2020 Kyoto Commitment.

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“…The case study chosen for the work was the Ruinon landslide (Figure 1 andFigure 2) in the Upper Valtellina, Northern Italy. It is one of the most active slope failures in Italy, also very well monitored and studied (Del Piccolo, 1999;Agliardi et al, 2001;Tarchi et al, 2003;Del Ventisette et al, 2012;Carlà et al, 2021). The landslide can be characterized as a "translational rock-debris slide" sitting at the base of deep-seated gravitational slope deformation which is affecting the entire slope.…”

Section: Case Studymentioning

confidence: 99%

Landslide Surveys Using Low-Cost Uav and Foss Photogrammetric Workflow

Yordanov

Biagi²,

Truong³

et al. 2022

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. Unmanned Aerial Vehicle have found their usage in various academic and industry domains, mainly due to the versatility of options that one aircraft can offer from onboard sensors for data acquisition and positioning, through different weight and size categories allowing different applications, including landslide mapping and surveying. Survey-grade UAVs can provide very precise flight and data but usually are very costly, and their use can be further bounded by many regulations. In this work, we have adopted a low-cost consumer-grade UAV to do multitemporal monitoring of an active landslide (Ruinon) in Northern Italy to evaluate the applicability of such setup in the landslide hazard domain. Moreover, for flight planning, photogrammetric reconstruction, and comparative analyses we have adopted free and open-source software solutions. The resulted dense point clouds and orthophotos yielded very satisfactory results from accuracies of few meters and even sub-meter level when reconstructed with field-surveyed ground control points. As a result, from the two surveys comparisons, July and October 2021, several displaced boulders and debris were detected where no significant reactivations were detected from our surveys. Such low-cost setup can be used also from non-professionals and in citizen science campaigns which can significantly contribute to additional landslide mapping and analyses by providing valuable datasets.

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Monitoring and analysis of the exceptional displacements affecting debris at the top of a highly disaggregated rockslide

Cited by 18 publications

References 36 publications

Monitoring Landslide Displacements Through Maximum Cross-Correlation of Satellite Images

Monitoring Landslide Displacements Through Maximum Cross-Correlation of Satellite Images

Advanced Technologies for Landslides—ATLaS (WCoE 2020–2023)

Landslide Surveys Using Low-Cost Uav and Foss Photogrammetric Workflow

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