Tracking landslide displacements by multi-temporal DTMs: A combined aerial stereophotogrammetric and LIDAR approach in western Belgium

Dewitte, Olivier; Jasselette, Jean-Claude; Cornet, Yves; Eeckhaut, Miet Van Den; Collignon, A.; Poesen, Jean; Demoulin, Alain

doi:10.1016/j.enggeo.2008.02.006

Cited by 128 publications

(93 citation statements)

References 36 publications

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“…The results are either vectors between two points (or common areas) or distances between two data sets (point to surface comparison) either in a user-defined direction or as shortest distance (Hausdorff distance) between the two surfaces. This difference calculation allows for the computation of volume differences, as is discussed by different authors (Bitelli et al 2004;Chen et al 2006;Corsini et al 2007;Teza et al 2007;Dewitte et al 2008;Jaboyedoff et al 2009a;Prokop and Panholzer 2009;Mueller and Loew 2009;Avian et al 2009;Baldo et al 2009). …”

Section: Landslidementioning

confidence: 99%

Use of LIDAR in landslide investigations: a review

et al. 2010

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This paper presents a short history of the appraisal of laser scanner technologies in geosciences used for imaging relief by high-resolution digital elevation models (HRDEMs) or 3D models. A general overview of light detection and ranging (LIDAR) techniques applied to landslides is given, followed by a review of different applications of LIDAR for landslide, rockfall and debris-flow. These applications are classified as: (1) Detection and characterization of mass movements; (2) Hazard assessment and susceptibility mapping; (3) Modelling; (4) Monitoring. This review emphasizes how LIDARderived HRDEMs can be used to investigate any type of landslides. It is clear that such HRDEMs are not yet a common tool for landslides investigations, but this technique has opened new domains of applications that still have to be developed.

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Section: Landslidementioning

confidence: 99%

Use of LIDAR in landslide investigations: a review

et al. 2010

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“…This topic has been described by several authors (Dewitte et al, 2008;Turner and Lucieer, 2013;Travelletti et al, 2012;Lucieer et al 2014a;Turner et al, 2015;Marek et al, 2015;Lindner et al, 2016;Peppa et al, 2017). In these works, numerous techniques based on the multi-temporal comparison of RPAS data sets for the definition of the evolution of landslides have been presented and discussed.…”

Section: Landslide Monitoringmentioning

confidence: 99%

Review article: the use of remotely piloted aircraft systems (RPASs) for natural hazards monitoring and management

Giordan

Hayakawa

Nex

et al. 2018

Nat. Hazards Earth Syst. Sci.

145

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Abstract. The number of scientific studies that consider possible applications of remotely piloted aircraft systems (RPASs) for the management of natural hazards effects and the identification of occurred damages strongly increased in the last decade. Nowadays, in the scientific community, the use of these systems is not a novelty, but a deeper analysis of the literature shows a lack of codified complex methodologies that can be used not only for scientific experiments but also for normal codified emergency operations. RPASs can acquire on-demand ultra-high-resolution images that can be used for the identification of active processes such as landslides or volcanic activities but can also define the effects of earthquakes, wildfires and floods. In this paper, we present a review of published literature that describes experimental methodologies developed for the study and monitoring of natural hazards. IntroductionIn the last three decades, the number of natural disasters showed a positive trend with an increase in the number of affected populations. Disasters not only affected the poor and characteristically more vulnerable countries but also those thought to be better protected. The Annual Disaster Statistical Review describes recent impacts of natural disasters on the population and reports 342 naturally triggered disasters in 2016 (Guha-Sapir et al., 2017). This is less than the annual average disaster frequency observed from 2006 to 2015 (376.4 events). However, natural disasters are still responsible for a high number of casualties (8733 death). In the period 2006-2015, the average number of causalities caused annually by natural disasters is 69 827. In 2016, hydrological disasters (177) had the largest share in natural disaster occurrence (51.8 %), followed by meteorological disasters (96; 28.1 %), climatological disasters (38; 11.1 %) and geophysical disasters (31; 9.1 %) (Guha-Sapir et al., 2017). To face these disasters, one of the most important solutions is the use of systems able to provide an adequate level of information for correctly understanding these events and their evolution. In this context, surveying and monitoring natural hazards gained importance. In particular, during the emergency phase it is very important to evaluate and control the phenomenon of evolution, preferably operating in near real time or real time, and consequently, use this information for a better risk assessment scenario. The available acquired data must be processed rapidly to support the emergency services and decision makers.Recently, the use of remote sensing (satellite and airborne platform) in the field of natural hazards and disasters has become common, also supported by the increase in geospatial technologies and the ability to provide and process up-to-date imagery (Joyce et al., 2009;Tarolli, 2014). Remotely sensed data play an integral role in predicting hazard events such as floods and landslides, subsidence events and other ground instabilities. Because of their acquisition mode and capabilPublished by Copern...

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“…The DTM subtraction implies that individual DTM errors and shifts between DTMs can be combined as independent random variables. Assuming a normal distribution, this combined error can be used as standard deviation s 0 (Dewitte et al, 2008). For registration based on selected stable areas, the s 0 of analysed DTMs from the reference DTM lay between 1 m and 2 m (Table 3).…”

Section: Relative Dtm Accuracymentioning

confidence: 99%

“…Ruiz et al, 2004;Rabatel et al, 2008;Oppikofer et al, 2008). Some projects have already taken advantage of combining digital photogrammetry and LiDAR for multi-temporal topographic analyses of rock walls (Lim et al, 2005;Dewitte et al, 2008), as well as for the detection of changes in valley glaciers (Baltsavias et al, 2001). However, the combination of the two techniques has not previously been applied to steep permafrost-affected and glacierised high-mountain rock walls.…”

Section: Introductionmentioning

confidence: 99%

Monitoring topographic changes in a periglacial high‐mountain face using high‐resolution DTMs, Monte Rosa East Face, Italian Alps

Fischer

Eisenbeiss

Kääb

et al. 2011

Permafrost & Periglacial

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This paper describes a remote sensing-based approach for detailed topographic investigations in steep periglacial high-mountain faces. The study was conducted at one of the highest periglacial rock faces in the European Alps, the permafrost-affected and partially glacierised east face of Monte Rosa. Strongly increased rock and ice avalanche activity on this rock wall has caused major topographic change in recent decades. A time series of high-resolution digital terrain models (DTMs) with a 2-m resolution was produced from digital aerial photogrammetry for 1956, 1988 and 2001 and from airborne LiDAR for 2005 and 2007. The DTM comparisons reveal a total volume loss of permafrost-affected bedrock and glacier ice of more than 20 Â 10 6 m 3 over the past 50 years, with the majority of the loss since 1988. Analysis of all unstable areas and detachment zones showed that the sequence of the main slope failures is spatially connected and that there is coupling between permafrost bedrock instability and the condition of adjacent hanging glaciers.

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Tracking landslide displacements by multi-temporal DTMs: A combined aerial stereophotogrammetric and LIDAR approach in western Belgium

Cited by 128 publications

References 36 publications

Use of LIDAR in landslide investigations: a review

Use of LIDAR in landslide investigations: a review

Review article: the use of remotely piloted aircraft systems (RPASs) for natural hazards monitoring and management

Monitoring topographic changes in a periglacial high‐mountain face using high‐resolution DTMs, Monte Rosa East Face, Italian Alps

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