Integration of LiDAR data for the assessment of activity in diachronic landslides: a case study in the Betic Cordillera (Spain)

Palenzuela, J. Antonio; Jiménez-Perálvarez, J. D.; Hamdouni, Rachid El; Alameda-Hernández, Pedro; Chacón, José Luis Torres; Irigaray, Clemente

doi:10.1007/s10346-015-0598-x

Cited by 16 publications

(3 citation statements)

References 46 publications

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“…Both techniques are suited to site scale investigation and yield DEMs which can be used to estimate surface changes and generate modelling volumes in ERI. Terrestrial (or ground based) LIDAR is a well-established tool for monitoring rock falls and natural slope movements, be it through permanent monitoring solutions (Lingua et al 2008) or repeated surveys (Delacourt et al 2007;Guerin et al 2021;Palenzuela et al 2016;Rosser et al 2007). Recent advances in structure from motion (SfM) photogrammetry have yielded centimetric resolutions such that they are comparable to terrestrial LiDAR scans and both are suited to the purposes of ERI.…”

Section: Recording Geomorphological Changesmentioning

confidence: 99%

A linked geomorphological and geophysical modelling methodology applied to an active landslide

et al. 2021

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Moisture-induced landslides are a global geohazard; mitigating the risk posed by landslides requires an understanding of the hydrological and geological conditions present within a given slope. Recently, numerous geophysical studies have been attempted to characterise slow-moving landslides, with an emphasis on developing geoelectrical methods as a hydrological monitoring tool. However, landslides pose specific challenges for processing geoelectrical data in long-term monitoring contexts as the sensor arrays can move with slope movements. Here we present an approach for processing long-term (over 8 years) geoelectrical monitoring data from an active slow-moving landslide, Hollin Hill, situated in Lias rocks in the southern Howardian Hills, UK. These slope movements distorted the initial setup of the monitoring array and need to be incorporated into a time-lapse resistivity processing workflow to avoid imaging artefacts. We retrospectively sourced seven digital terrain models to inform the topography of our imaging volumes, which were acquired by either Unmanned Aerial Vehicle (UAV)-based photogrammetry or terrestrial laser ranging systems. An irregular grid of wooden pegs was periodically surveyed with a global position system, from which distortions to the terrain model and electrode positions can be modelled with thin plate splines. In order to effectively model the time-series electrical resistivity images, a baseline constraint is applied within the inversion scheme; the result of the study is a time-lapse series of resistivity volumes which also incorporate slope movements. The workflow presented here should be adaptable for other studies focussed on geophysical/geotechnical monitoring of unstable slopes.

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Section: Recording Geomorphological Changesmentioning

confidence: 99%

A linked geomorphological and geophysical modelling methodology applied to an active landslide

et al. 2021

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“…In 2015, the same research team carried out laser scanning to monitor gully processes in a relative coordinate system, which led to an increase in the accuracy of scans adjustment by two orders (Kociuba et al , 2015). Similar studies were carried out in 2008-2010 in Spain by the Jimenez-Peralvarez scientific team (Palenzuela et al , 2016) and by Swiss scientists under the leadership of M. Franz in 2012 (Franz et al , 2016). The combination of different technologies made it possible to achieve georeferencing accuracy within 11 mm in plan and 17 mm in height.…”

Section: Ground-based Laser Scanningmentioning

confidence: 93%

Assessment of modern shoreline transformation rates on the banks of one of the largest reservoirs in the world (Kuibyshev reservoir, Russia) using instrumental methods

Op¹,

Usmanov²,

Gafurov³

et al. 2021

Preprint

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The study object is the Kuibyshev reservoir. The objective is to quantitatively assess reservoir bank landslides and shoreline abrasion in active zones based on the integrated use of modern instrumental methods. Different approaches are used to assess the intensity of landslide and abrasion processes: the specific volume and material loss index, the planar displacement of the bank scarp, and the planar-altitude analysis displacements of soil masses based on the analysis of slope profiles. Shoreline position for the past periods (1958, 1985, and 1987) was obtained from archival aerial photography data; data for 1975, 1993, 2010, 2011, and 2012 were obtained from high-resolution satellite image interpretation. Field surveys of these geomorphic processes at the study areas in 2002, 2003, 2005, 2006, 2014 were carried out using total stations; in 2012-2014 using terrestrial laser scanning and a UAV survey in 2019. The monitoring of landslide processes showed that the rate of volumetric changes at Site 1 remained rather stable during the measurement period with net material losses of 0.03-0.04 m3/m2/year. The most significant contribution to the average annual value of material loss was by snowmelt runoff. The landslide scarp retreat rate at Site 2 showed a steady decreasing trend, due to partial overgrowth of the landslide accumulation zone resulting in its relative stabilization. The average long-term landslide scarp retreat rate is 2.3 m/year. In recent years, landslide control measures realized at this site have reduced the landsliding intensity by more than 2.5 times to 0.84 m/year

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“…The study of relief dynamics requires repeated measurements of the object under study and their comparison with previous data, which requires geodetically accurate referencing provided by modern ground-based laser scanning technologies [27,28]. To achieve high accuracy of multitemporal scans adjustments different approaches have been applied: least-squares [29], Iterative Closest Point (ICP) [30] differential global positioning system (DGPS) [31], relative coordinate system [32][33][34]. One centimeter is an acceptable error for studying landslide processes due to the large volume changes occurring on the affected slopes [35].…”

Section: Ground-based Laser Scanningmentioning

confidence: 99%

Assessment of Shoreline Transformation Rates and Landslide Monitoring on the Bank of Kuibyshev Reservoir (Russia) Using Multi-Source Data

et al. 2021

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This study focuses on the Kuibyshev reservoir (Volga River basin, Russia)—the largest in Eurasia and the third in the world by area (6150 km2). The objective of this paper is to quantitatively assess the dynamics of reservoir bank landslides and shoreline abrasion at active zones based on the integrated use of modern instrumental methods (i.e., terrestrial laser scanning—TLS, unmanned aerial vehicle—UAV, and a global navigation satellite system—GNSS) and GIS analysis of historical imagery. A methodology for the application of different methods of instrumental assessment of abrasion and landslide processes is developed. Different approaches are used to assess the intensity of landslide and abrasion processes: the specific volume and material loss index, the planar displacement of the bank scarp, and the planar-altitude analysis of displaced soil material based on the analysis of slope profiles. Historical shoreline position (1958, 1985, and 1987) was obtained from archival aerial photo data, whereas data for 1975, 1993, 2010, 2011, and 2012 were obtained from high-resolution satellite image interpretation. Field surveys of the geomorphic processes from 2002, 2003, 2005, 2006, 2014 were carried out using Trimble M3 and Trimble VX total stations; in 2012–2014 and 2019 TLS and UAV surveys were made, respectively. The monitoring of landslide processes showed that the rate of volumetric changes at Site 1 remained rather stable during the measurement period with net material losses of 0.03–0.04 m−3 m−2 yr−1. The most significant contribution to the average annual value of the material loss was snowmelt runoff. The landslide scarp retreat rate at Site 2 showed a steady decreasing trend, due to partial overgrowth of the landslide accumulation zone resulting in its relative stabilization. The average long-term landslide scarp retreat rate is—2.3 m yr−1. In 2019 earthworks for landscaping at this site have reduced the landslide intensity by more than 2.5 times to—0.84 m yr−1.

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Integration of LiDAR data for the assessment of activity in diachronic landslides: a case study in the Betic Cordillera (Spain)

Cited by 16 publications

References 46 publications

A linked geomorphological and geophysical modelling methodology applied to an active landslide

A linked geomorphological and geophysical modelling methodology applied to an active landslide

Assessment of modern shoreline transformation rates on the banks of one of the largest reservoirs in the world (Kuibyshev reservoir, Russia) using instrumental methods

Assessment of Shoreline Transformation Rates and Landslide Monitoring on the Bank of Kuibyshev Reservoir (Russia) Using Multi-Source Data

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