Preliminary Slope Mass Movement Susceptibility Mapping Using DEM and LiDAR DEM

Jaboyedoff, Michel; Choffet, Marc; Derron, Marc‐Henri; Horton, Pascal; Loye, A.; Longchamp, Céline; Mazotti, B.; Michoud, Clément; Pedrazzini, Andrea

doi:10.1007/978-3-642-25495-6_5

Cited by 32 publications

(28 citation statements)

References 80 publications

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“…5 Published case studies Jaboyedoff et al (2012) used Flow-R to create, among other studies, a susceptibility map for debris flows at a scale of 1 : 25 000 (see also . The model was calibrated on four test sites within the catchment.…”

Section: Parameterization Using Expert Knowledgementioning

confidence: 99%

Flow-R, a model for susceptibility mapping of debris flows and other gravitational hazards at a regional scale

Horton

Jaboyedoff

Rudaz

et al. 2013

Nat. Hazards Earth Syst. Sci.

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212

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Abstract. The development of susceptibility maps for debris flows is of primary importance due to population pressure in hazardous zones. However, hazard assessment by process-based modelling at a regional scale is difficult due to the complex nature of the phenomenon, the variability of local controlling factors, and the uncertainty in modelling parameters. A regional assessment must consider a simplified approach that is not highly parameter dependant and that can provide zonation with minimum data requirements. A distributed empirical model has thus been developed for regional susceptibility assessments using essentially a digital elevation model (DEM). The model is called Flow-R for Flow path assessment of gravitational hazards at a Regional scale (available free of charge under http://www.flow-r.org) and has been successfully applied to different case studies in various countries with variable data quality. It provides a substantial basis for a preliminary susceptibility assessment at a regional scale. The model was also found relevant to assess other natural hazards such as rockfall, snow avalanches and floods. The model allows for automatic source area delineation, given user criteria, and for the assessment of the propagation extent based on various spreading algorithms and simple frictional laws. We developed a new spreading algorithm, an improved version of Holmgren's direction algorithm, that is less sensitive to small variations of the DEM and that is avoiding over-channelization, and so produces more realistic extents. The choices of the datasets and the algorithms are open to the user, which makes it compliant for various applications and dataset availability. Amongst the possible datasets, the DEM is the only one that is really needed for both the source area delineation and the propagation assessment; its quality is of major importance for the results accuracy. We consider a 10 m DEM resolution as a good compromise between processing time and quality of results. However, valuable results have still been obtained on the basis of lower quality DEMs with 25 m resolution.

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Section: Parameterization Using Expert Knowledgementioning

confidence: 99%

Flow-R, a model for susceptibility mapping of debris flows and other gravitational hazards at a regional scale

Horton

Jaboyedoff

Rudaz

et al. 2013

Nat. Hazards Earth Syst. Sci.

Self Cite

212

267

View full text Add to dashboard Cite

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“…A classic approach to perform inventories is to use aerial photos, as these pictures provide an overall point of view of a large area (Rib and Liang 1978;Záruba and Mencl 1982). Nowadays, aerial laser scanning (ALS) is widely used to produce high-resolution digital elevation models (HRDEM) at regional scales; HRDEM have then become an essential input data of regional landslides inventory maps (Chigira et al 2004;McKean and Roering 2004;Ardizzone et al 2007;Jaboyedoff et al 2012;Pedrazzini 2012). Their high level of detail allows indeed to identify main morphostructural features developed as a result of slope deformations, such as crowns, counterscarps, double ridges or trenches being created by deepseated slope deformations (DSGSD, e.g.…”

Section: Introductionmentioning

confidence: 99%

Large slope deformations detection and monitoring along shores of the Potrerillos dam reservoir, Argentina, based on a small-baseline InSAR approach

Michoud

Baumann²,

Lauknes

et al. 2015

Landslides

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Large slope deformations detection and monitoring along shores of the Potrerillos dam reservoir, Argentina, based on a small-baseline InSAR approach Abstract The Argentina National Road 7 that crosses the Andes Cordillera within the Mendoza province to connect Santiago de Chile and Buenos Aires is particularly affected by natural hazards requiring risk management. Integrated in a research plan that intends to produce landslide susceptibility maps, we aimed in this study to detect large slope movements by applying a satellite radar interferometric analysis using Envisat data, acquired between 2005 and 2010. We were finally able to identify two large slope deformations in sandstone and clay deposits along gentle shores of the Potrerillos dam reservoir, with cumulated displacements higher than 25mm in 5years and towards the reservoir. There is also a body of evidences that these large slope deformations are actually influenced by the seasonal reservoir level variations. This study shows that very detailed information, such as surface displacements and above all water level variation, can be extracted from spaceborne remote sensing techniques; nevertheless, the limitations of InSAR for the present dataset are discussed here. Such analysis can then lead to further field investigations to understand more precisely the destabilising processes acting on these slope deformations.

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“…High spatial resolution optical satellite imagery has also been used to identify the distribution of causative landslide factors such as topography, geology, land use and vegetation cover [22][23][24][25][26][27][28]. In addition, Light Detection and Ranging (LiDAR) has been used in landslide studies since LiDAR (or laser scanning) can provide high-resolution point clouds of the topography [29][30][31][32][33][34][35]. In addition, according to Singhroy and Molch [36], high resolution synthetic aperture radar (SAR) images can be used to characterize landslides on the basis of an observed close relationship between SAR measurements and debris distribution.…”

Section: Introductionmentioning

confidence: 99%

Physically Based Susceptibility Assessment of Rainfall-Induced Shallow Landslides Using a Fuzzy Point Estimate Method

2017

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Abstract:The physically based model has been widely used in rainfall-induced shallow landslide susceptibility analysis because of its capacity to reproduce the physical processes governing landslide occurrence and a higher predictive capability. However, one of the difficulties in applying the physically based model is that uncertainties arising from spatial variability, measurement errors, and incomplete information apply to the input parameters and analysis procedure. Uncertainties have been recognized as an important cause of mismatch between predicted and observed distributions of landslide occurrence. Therefore, probabilistic analysis has been used to quantify the uncertainties. However, some uncertainties, because of incomplete information, cannot be managed satisfactorily using a probabilistic approach. Fuzzy set theory is applicable in this case. In this study, in order to handle uncertainty propagation through a physical model, fuzzy set theory, coupled with the vertex method and the point estimate method, was adopted for regional landslide susceptibility assessment. The proposed approach was used to evaluate susceptibility to rainfall-induced shallow landslides for a regional study area, and the analysis results were compared with landslide inventory to evaluate the performance of the proposed approach. The AUC values arising from the landslide susceptibility analyses using the proposed approach and probabilistic analysis were 0.734 and 0.736, respectively. However, when the COV values of the input parameters were reduced, the AUC values of the proposed approach and the probabilistic analysis were reduced to 0.722 and 0.688, respectively. It means that the performance of the fuzzy approach is similar to that of probabilistic analysis but is more robust against variation of input parameters. Thus, at catchment scale, the fuzzy approach can respond appropriately to the uncertainties inherent in physically based landslide susceptibility analysis, and is especially advantageous when the amount of quality data is very limited.

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Preliminary Slope Mass Movement Susceptibility Mapping Using DEM and LiDAR DEM

Cited by 32 publications

References 80 publications

Flow-R, a model for susceptibility mapping of debris flows and other gravitational hazards at a regional scale

Flow-R, a model for susceptibility mapping of debris flows and other gravitational hazards at a regional scale

Large slope deformations detection and monitoring along shores of the Potrerillos dam reservoir, Argentina, based on a small-baseline InSAR approach

Physically Based Susceptibility Assessment of Rainfall-Induced Shallow Landslides Using a Fuzzy Point Estimate Method

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