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Journal ArticleDOI

Landslide hazard and risk zonation—why is it still so difficult?

TLDR
In this paper, the authors review the problem of attempting to quantify landslide risk over larger areas, discussing a number of difficulties related to the generation of landslide inventory maps including information on date, type and volume of the landslide, the determination of its spatial and temporal probability, the modelling of runout and the assessment of landslide vulnerability.
Abstract
The quantification of risk has gained importance in many disciplines, including landslide studies. The literature on landslide risk assessment illustrates the developments which have taken place in the last decade and that quantitative risk assessment is feasible for geotechnical engineering on a site investigation scale and the evaluation of linear features (e.g., pipelines, roads). However, the generation of quantitative risk zonation maps for regulatory and development planning by local authorities still seems a step too far, especially at medium scales (1:10,000–1:50,000). This paper reviews the problem of attempting to quantify landslide risk over larger areas, discussing a number of difficulties related to the generation of landslide inventory maps including information on date, type and volume of the landslide, the determination of its spatial and temporal probability, the modelling of runout and the assessment of landslide vulnerability. An overview of recent developments in the different approaches to landslide hazard and risk zonation at medium scales is given. The paper concludes with a number of new advances and challenges for the future, such as the use of very detailed topographic data, the generation of event-based landslide inventory maps, the use of these maps in spatial-temporal probabilistic modelling and the use of land use and climatic change scenarios in deterministic modelling.

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Citations
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Journal ArticleDOI

Landslide susceptibility mapping using machine learning algorithms and comparison of their performance at Abha Basin, Asir Region, Saudi Arabia

TL;DR: In this paper, the authors evaluated the capabilities of seven advanced machine learning techniques (MLTs), including, Support Vector Machine (SVM), Random Forest (RF), Multivariate Adaptive Regression Spline (MARS), Artificial Neural Network (ANN), Quadratic Discriminant Analysis (QDA), Linear Discrimination Analysis (LDA), and Naive Bayes (NB), for landslide susceptibility modeling and comparison of their performances.
Journal ArticleDOI

Landslide susceptibility mapping for Ayvalik (Western Turkey) and its vicinity by multicriteria decision analysis

TL;DR: In this article, the authors presented the results of a GIS-based landslide susceptibility mapping in Ayvalik, western Turkey using multi-criteria decision analysis, which includes data production, standardization, and analysis stages.
Journal ArticleDOI

Seasonal landslide mapping and estimation of landslide mobilization rates using aerial and satellite images

TL;DR: In this paper, the authors used very high-resolution images taken by aerial and satellite sensors to map recent landslides in Italy and to update existing measures of landslide mobilization, which showed 145% more landslides and 85% more landslide area than a pre-existing reconnaissance inventory.
Journal ArticleDOI

Landslide susceptibility mapping using a modified decision tree classifier in the Xanthi Perfection, Greece

TL;DR: In this paper, a modified decision tree classifier was used to validate the outcomes of a landslide susceptibility map and the actual landslide occurrence, in an area of intensive landslide manifestation, in Xanthi Perfection, Greece.
References
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Journal ArticleDOI

Landslide hazard evaluation: a review of current techniques and their application in a multi-scale study, Central Italy

TL;DR: In this paper, the authors used geomorphological information to assess areas at high landslide hazard, and help mitigate the associated risk, and found that despite the operational and conceptual limitations, landslide hazard assessment may indeed constitute a suitable, cost-effective aid to land-use planning.
Journal ArticleDOI

The shuttle radar topography mission—a new class of digital elevation models acquired by spaceborne radar

TL;DR: For 11 days in February 2000, the Shuttle Radar Topography Mission (SRTM) successfully recorded by interferometric synthetic aperture radar (InSAR) data of the entire land mass of the earth between 60°N and 57°S.
Book

Geographic Information Systems for Geoscientists: Modelling with GIS

TL;DR: An introduction to GIS and tools for map analysis: map pairs, spatial data models, and more.
Journal ArticleDOI

The Rainfall Intensity - Duration Control of Shallow Landslides and Debris Flows

TL;DR: In this article, rainfall intensities and durations associated with shallow landsliding and debris flow activity suggests a limiting threshold for this type of slope instability, and the limit is defined based on the rainfall intensity and duration.
Book

Landslide hazard zonation: A review of principles and practice

TL;DR: In this paper, the authors give the definitions and principles of landslides, and identify causative conditions and processes (inherent or basic conditions, geology, geomorphology, hydrologic conditions and climate, vegetation, factors that change stress conditions and strength of materials).
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