scispace - formally typeset
Open AccessJournal ArticleDOI

Improvement of landslide hazard assessments for regulatory zoning in France: STATE–OF–THE-ART perspectives and considerations

Reads0
Chats0
TLDR
Through this synthesis carried out as part of the regulatory mapping of landslide hazards and risks in France, a state-of-the-art spatial assessment of current landslide hazards is performed and the new tools and databases to support this type of analysis are described.
Abstract
In France, in the context of regulatory mapping (PPRNs –Prevention Plans of Natural Risk based on French regulatory rules), landslide hazard assessment follows an empirical approach and uses basic available data. Therefore, the results are closely linked to the quality of the expertise and divergent opinions may arise in some specific cases. In recent years, numerical approaches using GIS, the availability of new databases, the development of new acquisition tools in the field and web visualization services have improved the knowledge of phenomena and different landslide-prone areas. Numerical approaches using GIS, that allow the transparency and traceability of results, have various levels of complexity and require different quantities of input data. However, they are often neglected by experts and new data and tools are not currently used to develop regulatory mapping documents. Numerous scientific examples show that these numerical approaches, web services and new tools can be a significant help in improving knowledge and provide a credible alternative to the expert approach, even in a regulatory context such as a PPRN. Thus, through this synthesis carried out as part of the regulatory mapping of landslide hazards and risks in France, a state-of-the-art spatial assessment of current landslide hazards is performed. The new tools and newly available databases to support this type of analysis are then described. Finally, the perspectives and limitations of alternative approaches and new tools and data are discussed, leading to some considerations for the improvement of the current method of producing landslide hazard maps for PPRNs in France.

read more

Citations
More filters
Journal ArticleDOI

Earthquake-induced landslides susceptibility assessment: A review of the state-of-the-art

Xiaoyi Shao, +1 more
TL;DR: In this article , the authors examined the research status of earthquake-induced landslide susceptibility using data aspects, variable model types, and evaluation scales, and presented the most common EQLSA methods and discussed their advantages and disadvantages.
Journal ArticleDOI

ALICE (Assessment of Landslides Induced by Climatic Events): A single tool to integrate shallow and deep landslides for susceptibility and hazard assessment

TL;DR: In this paper, a physical-based model (ALICE -Assessment of Landslides Induced by Climatic Events) is presented, which can integrate different types of landslides (shallow and deep) with different sizes.
Journal ArticleDOI

Mapping Landform and Landslide Susceptibility Using Remote Sensing, GIS and Field Observation in the Southern Cross Road, Malang Regency, East Java, Indonesia

TL;DR: In this article, a land-form map and a landslide susceptibility map were developed to identify the landslide hazard, focusing on the development of a landform map to reduce the risk of landslide disaster in JLS, Malang Regency.
Journal ArticleDOI

Infinite slope stability model and steady-state hydrology-based shallow landslide susceptibility evaluations: The Guneysu catchment area (Rize, Turkey)

TL;DR: In this paper, the authors investigated shallow landslide susceptibility by considering the infinite slope stability model and steady-state hydrological conditions, and the prediction performance of the Stability Index Mapping (SINMAP) carried out by considering both mechanical and hydrologogical parameters and soil thickness values for different residual soils derived from different geological formations was evaluated.
Journal ArticleDOI

Optimized Landslide Susceptibility Mapping and Modelling using PS-InSAR technique: A case study of Chitral Valley, Northern Pakistan

TL;DR: Chitral valley lies in the eastern Hindu Kush range, one of the hotspot of landslide activities that leads to loss of lives and economy as discussed by the authors, and is prone to landslides.
References
More filters

Detection of landslides from aerial and satellite images with a semi-automatic method. Application to the Barcelonnette basin (Alpes-de-Hautes-Provence, France)

TL;DR: In this article, a semi-automatic method to locate landslides based on very high spatial resolution (aerial and satellite) images and by using expert knowledge on landslides is proposed.
Journal ArticleDOI

Structural study of the Ballandaz landslide (French Alps) using geophysical imagery

TL;DR: In this paper, a study of the Ballandaz landslide (Savoie, French Alps) was carried out as part of the ANR/PGCU-SIGMA research project to characterize the slope by different methods of geophysical imagery, and then use this characterization to provide a combined interpretation of morpho-structures in order to simulate the geomechanical behavior of the sliding mass.
Dissertation

Multi-scale landslide risk assessment in Cuba

TL;DR: In this paper, the authors present a methodology and its implementation for spatial landslide risk assessment in Cuba, using a multi-scale approach at national, provincial, municipal and local level.
Journal ArticleDOI

Satellite stereoscopic pair images of very high resolution: a step forward for the development of landslide inventories

TL;DR: In this article, a landslide inventory for the municipality of Pahuatlan, Puebla, in central Mexico was prepared by combining three techniques: (1) visual analysis of stereo pairs of VHR satellite images (GeoEye-1), (2) visual analyses of monoscopic VHR images (SPOT 5 and Google Earth images), and (3) field surveying.
Journal ArticleDOI

Combining Random Forests and object-oriented analysis for landslide mapping from very high resolution imagery

TL;DR: The Random Forest algorithm was used for the selection of useful features and object classification in the context of landslide mapping and it was demonstrated that topographically guided texture measures provide significant enhancements.
Related Papers (5)