Airborne laser scanning of forested landslides characterization: Terrain model quality and visualization

Razak, Khamarrul Azahari; Straatsma, Menno; Westen, C.J. van; Malet, Jean-Philippe; Jong, S.M. de

doi:10.1016/j.geomorph.2010.11.003

Cited by 122 publications

(106 citation statements)

References 32 publications

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“…One of the most important developments is the use of shaded relief images produced from LiDAR DEMs, from which the objects (e.g. vegetation) on the Earth's surface have been removed, for the visual interpretation of landslide phenomena (Haugerud et al 2003;Ardizzone et al 2007; Van Den Eeckhaut et al 2009;Razak et al 2011).…”

Section: Landslide Inventoriesmentioning

confidence: 99%

Recommendations for the quantitative analysis of landslide risk

Corominas

Westen

Frattini

et al. 2013

Bull Eng Geol Environ

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This paper presents recommended methodologies for the quantitative analysis of landslide hazard, vulnerability and risk at different spatial scales (site-specific, local, regional and national), as well as for the verification and validation of the results. The methodologies described focus on the evaluation of the probabilities of occurrence of different landslide types with certain characteristics. Methods used to determine the spatial distribution of landslide intensity, the characterisation of the elements at risk, the assessment of the potential degree of damage and the quantification of the vulnerability of the elements at risk, and those used to perform the quantitative risk analysis are also described. The paper is intended for use by scientists and practising engineers, geologists and other landslide experts.

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Section: Landslide Inventoriesmentioning

confidence: 99%

Recommendations for the quantitative analysis of landslide risk

Corominas

Westen

Frattini

et al. 2013

Bull Eng Geol Environ

Self Cite

697

666

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“…Numerous studies were conducted for the analysis of mass movements (Flageollet et al, 1999;Malet et al, 2005a;Maquaire et al, 2003;Razak et al, 2011;Remaître et al, 2005;Thiery, 2007;Thiery et al, 2014) and several landslide types were mapped and analysed along the slopes (Fig. 1a).…”

Section: Study Areamentioning

confidence: 99%

Analysis of a landslide multi-date inventory in a complex mountain landscape: the Ubaye valley case study

Schlögel

Malet

Reichenbach

et al. 2015

Nat. Hazards Earth Syst. Sci.

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Abstract. In the paper we analyse a multi-date landslide inventory prepared for a mountainous area affected by several landslide types with different degrees of activity, we attempt to quantify the uncertainties associated to the mapping, we measure the evolution of morphological indicators and estimate landslide activity and temporal occurrence. The inventory, covering the period 1956-2010, is prepared for the middle section of the Ubaye valley (southern French Alps) based on the analysis of multi-source documents (geomorphological maps, historical reports of landslide events, field surveys, orthophotographs and SAR (synthetic aperture radar) satellite images). The uncertainties derived from the expert interpretation of different sources of information, the landslide morphological features and the affected land covers are taken into account in relation to the source documents.Morphological indicators are calculated to describe quantitatively the evolution of the landslides (length, area, relative elevation, runout distance). Frequency-area density functions are computed to estimate the changes in the landslide distributions and a Poisson model is used to estimate the probability of reactivation of the observed landslides and the occurrence of new failures. The proposed multi-date inventory and the associated statistics provide additional information to the event catalogue managed by the local policy makers.

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“…The high-resolution DTM supplied a detailed representation of the topographic surface able to provide a tool for recognition of landslides, and all the occurred surface morphology signatures (McKean and Roering 2004;Ardizzone et al 2007;Derron and Jaboyedoff 2010;Razak et al 2011;Chu, Chen, et al 2014;Brezny and Panek 2017). Several investigations demonstrated the effectiveness to perform landslide types recognitions and morphological parameters identification through high-resolution DTMs (Chigira et al 2004;Glenn et al 2006;Ardizzone et al 2007;.…”

Section: Landslides Identification and Validationmentioning

confidence: 99%

Relationship between man-made environment and slope stability: the case of 2014 rainfall events in the terraced landscape of the Liguria region (northwestern Italy)

Giordan

Cignetti

Baldo

2017

Geomatics, Natural Hazards and Risk

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In the autumn of 2014, a series of rainfall events affected several sectors of the Liguria region, triggering many shallow landslides and causing three casualties and severe structural damages. The most intensely unstable area covered 385 km 2 , in which more than 1600 landslides have been identified. After these events, an airborne Light Detection and Ranging survey was carried out. The survey yielded a high-resolution digital terrain model (DTM) and aerial images that provided a means of identifying and mapping all the occurred landslides. The distribution analysis of slope instabilities highlighted the link with various human activities. In fact, the majority of the detected landslides occurred in man-modified areas. Geospatial and statistical analyses provided the identification of three main anthropic factors: terraces, their level of maintenance and road network. Moreover, they quantified their role in landslide triggering. These factors were not analysed as separate elements, but as a continuous process, overlapping in time, in man-made influence on landscape. The identification of such factors is a key element for a correct behaviour characterization of this landscape towards extreme flash floods events.

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Airborne laser scanning of forested landslides characterization: Terrain model quality and visualization

Cited by 122 publications

References 32 publications

Recommendations for the quantitative analysis of landslide risk

Recommendations for the quantitative analysis of landslide risk

Analysis of a landslide multi-date inventory in a complex mountain landscape: the Ubaye valley case study

Relationship between man-made environment and slope stability: the case of 2014 rainfall events in the terraced landscape of the Liguria region (northwestern Italy)

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