Spatial data for landslide susceptibility, hazard, and vulnerability assessment: An overview

Westen, C.J. van; Abella, E.A. Castellanos; Kuriakose, Sekhar L.

doi:10.1016/j.enggeo.2008.03.010

Cited by 1,113 publications

(692 citation statements)

References 98 publications

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“…Carrara, 1991;Guzzetti et al, 1999;van Westen, 2000;van Westen et al, 2003), but few of these were used in official RAMs (Malet and Maquaire, 2008). However, they can assist in choosing the most revealing data sets to take into account and can be a real alternative in susceptibility/hazard zoning (van Westen et al, 2008;Ercanoglu et al, 2008). These studies are usually conducted at the 1 / 25 000 or 1 / 50 000 scale using the directly available data sets Fell et al, 2008).…”

Section: Fressard Et Al: Which Data For Quantitative Landslide Sumentioning

confidence: 99%

“…For the landslide hazard analysis, detailed information on historic records of both landslide occurrences and rainfall or/and earthquake are necessary to determine triggering thresholds. The non-availability of these data often constitutes an operational limitation (Brabb, 1984;Mulder, 1991;Guzzetti et al, 1999;van Westen et al, 2006). Over large areas, these data are difficult to obtain or require important cost and timeconsuming measurements (e.g.…”

Section: Introductionmentioning

confidence: 99%

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Which data for quantitative landslide susceptibility mapping at operational scale? Case study of the Pays d'Auge plateau hillslopes (Normandy, France)

Fressard

Thiéry²,

Maquaire

2014

Nat. Hazards Earth Syst. Sci.

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Abstract. This paper aims at assessing the impact of the data set quality for landslide susceptibility mapping using multivariate statistical modelling methods at detailed scale. This research is conducted on the Pays d'Auge plateau (Normandy, France) with a scale objective of 1 / 10 000, in order to fit the French guidelines on risk assessment. Five sets of data of increasing quality (considering accuracy, scale fitting, and geomorphological significance) and cost of acquisition are used to map the landslide susceptibility using logistic regression. The best maps obtained with each set of data are compared on the basis of different statistical accuracy indicators (ROC curves and relative error calculation), linear cross correlation and expert opinion. The results highlight that only high-quality sets of data supplied with detailed geomorphological variables (i.e. field inventory and surficial formation maps) can predict a satisfying proportion of landslides in the study area.

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Section: Fressard Et Al: Which Data For Quantitative Landslide Sumentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Which data for quantitative landslide susceptibility mapping at operational scale? Case study of the Pays d'Auge plateau hillslopes (Normandy, France)

Fressard

Thiéry²,

Maquaire

2014

Nat. Hazards Earth Syst. Sci.

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“…The capability of the RockGIS model to calculate the trajectories of blocks accurately relies on the resolution of the input parameters such as the Digital Elevation Model or the accuracy of the land-use cover (Van Westen et al 2008). For this work a resolution of 1x1m has been used.…”

Section: Discussionmentioning

confidence: 99%

RockGIS: a GIS-based model for the analysis of fragmentation in rockfalls

et al. 2017

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ABSTRACT:A Rockfall is a mass instability event frequently observed in road cuts, open pit mines and quarries, steep slopes and cliffs. After its detachment, the rock mass may disaggregate and break due to the impact with the ground surface, thus producing new rock fragments. The consideration of the fragmentation of the rockfall mass is critical for the calculation of the trajectories of the blocks and the impact energies, for the assessment of the potential damage and the design of protective structures. In this paper, we present RockGIS, a GIS-Based tool that simulates stochastically the fragmentation of the rockfall, based on a lumped mass approach. In RockGIS, the fragmentation is triggered by the disaggregation of the detached rock mass through the pre-existing discontinuities just before the impact with the ground. An energy threshold is defined in order to determine whether the impacting blocks break or not. The distribution of the initial mass between a set of newly generated rock fragments is carried out stochastically following a power law. The trajectories of the new rock fragments are distributed within a cone. The fragmentation model has been calibrated and tested with a 10,000m 3 rockfall that took place in 2011 near Vilanova de Banat, Eastern Pyrenees, Spain.

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“…A combination of various sources, means and methods have been suggested for landslide inventory mapping, as no single best method for landslide inventorization exists (Galli et al, 2008;van Westen et al, 2008). A detailed landslide inventory for susceptibility assessment requires mainly the following data inputs: the location of a landslide, its frequency, cause of the landslide and type.…”

Section: Landslide Database Generationmentioning

confidence: 99%

Database Organisation in a Web-Enabled Free and Open-Source Software (Foss) Environment for Spatio-Temporal Landslide Modelling

Das

Oberai

Roy

2012

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. Landslides exhibit themselves in different mass movement processes and are considered among the most complex natural hazards occurring on the earth surface. Making landslide database available online via WWW (World Wide Web) promotes the spreading and reaching out of the landslide information to all the stakeholders. The aim of this research is to present a comprehensive database for generating landslide hazard scenario with the help of available historic records of landslides and geo-environmental factors and make them available over the Web using geospatial Free & Open Source Software (FOSS). FOSS reduces the cost of the project drastically as proprietary software's are very costly. Landslide data generated for the period 1982 to 2009 were compiled along the national highway road corridor in Indian Himalayas. All the geo-environmental datasets along with the landslide susceptibility map were served through WEBGIS client interface. Open source University of Minnesota (UMN) mapserver was used as GIS server software for developing web enabled landslide geospatial database. PHP/Mapscript server-side application serve as a front-end application and PostgreSQL with PostGIS extension serve as a backend application for the web enabled landslide spatio-temporal databases. This dynamic virtual visualization process through a web platform brings an insight into the understanding of the landslides and the resulting damage closer to the affected people and user community. The landslide susceptibility dataset is also made available as an Open Geospatial Consortium (OGC) Web Feature Service (WFS) which can be accessed through any OGC compliant open source or proprietary GIS Software.

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Spatial data for landslide susceptibility, hazard, and vulnerability assessment: An overview

Cited by 1,113 publications

References 98 publications

Which data for quantitative landslide susceptibility mapping at operational scale? Case study of the Pays d'Auge plateau hillslopes (Normandy, France)

Which data for quantitative landslide susceptibility mapping at operational scale? Case study of the Pays d'Auge plateau hillslopes (Normandy, France)

RockGIS: a GIS-based model for the analysis of fragmentation in rockfalls

Database Organisation in a Web-Enabled Free and Open-Source Software (Foss) Environment for Spatio-Temporal Landslide Modelling

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