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A global landslide non-susceptibility map
Geomorphology, 2021 At variance with conventional landslide susceptibility assessment, non-susceptibility analysis aims at selecting locations in which the likelihood of landslide occurrence is null or negligible. The advantage of this approach is that it does not require estimating different degrees of likelihood outside of the locations of negligible susceptibility ...
Guoqiang Jiaa +7 more
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Estimating the quality of landslide susceptibility models
Geomorphology, 2006We present a landslide susceptibility model for the Collazzone area, central Italy, and we propose a framework for evaluating the model reliability and prediction skill. The landslide susceptibility model was obtained through discriminant analysis of 46 thematic environmental variables and using the presence of shallow landslides obtained from a multi ...
Fausto Guzzetti +2 more
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, 2009 Aim of this work is to determine the landslide susceptibility of a territory using the data banks and the information normally available to civil services. The landslide hazard is defined as the probability that an event happens in a certain period. The landslide susceptibility points out the tendency to the instability of the slopes calculated on the ...
GIORGI, GABRIELE
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Concept on Landslides and Landslide Susceptibility
2018Landslide is one of the destructive environmental hazards which causes a lot of damages to human lives and properties. Various approaches and techniques have been applied to assess the spatial distribution of landslides all over the world. Amongst them physical models, slope stability models, statistical and probabilistic models are very much important
Sujit Mandal, Subrata Mondal
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Landslide Susceptibility Assessment with Machine Learning Algorithms
2009 International Conference on Intelligent Networking and Collaborative Systems, 2009Case study addresses NW slopes of Fruska GoraMountain, Serbia. Landslide activity is quite notorious in this region, especially along the Danube’s right river bank, and recently intensified seismicity coupled with atmospheric precipitation might be critical for triggering new landslide occurrences.
Milos Marjanovic +2 more
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Landslide susceptibility zonation in Greece
Natural Hazards, 2012The objective of this study is to perform a preliminary national-scale assessment of the landslide susceptibility in Greece using a landslide inventory derived from historical archives. The effects of controlling factors on landslide susceptibility combined with multivariate statistics have been evaluated using GIS aided mapping techniques.
N. Sabatakakis +3 more
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Mapping landslide susceptibility using data-driven methods
Science of the Total Environment, 2017 Most epistemic uncertainty within data-driven landslide susceptibility assessment results from errors in landslide inventories, difficulty in identifying and mapping landslide causes and decisions related with the modelling procedure.
JOSÉ Luis Zêzere +2 more
exaly +2 more sources
Modelling Landslides’ Susceptibility by Fuzzy Emerging Patterns
2013This contribution proposes an approach to model regional landslide susceptibility, based on a supervised learning technique that mines fuzzy emerging patterns on a set of classified data. In our approach the training set contains positive and negative examples of areas, (i.e., slope units), affected or not affected by landslides.
Rampini A +6 more
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Environmental Monitoring and Assessment, 2023
The analysis of landslide susceptibility is a crucial tool in the mitigation and management of ecological and economic hazards. The number of studies examining how the form and durability of forest areas affect landslide susceptibility is very limited.
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The analysis of landslide susceptibility is a crucial tool in the mitigation and management of ecological and economic hazards. The number of studies examining how the form and durability of forest areas affect landslide susceptibility is very limited.
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Probabilistic Approaches and Landslide Susceptibility
2019The present study is associated with the implication of weight of evidence model and certainty factor model to prepare landslide susceptibility maps of the Balason river basin of Darjeeling Himalaya using data layers of elevation, slope, aspect, curvature, geology, geomorphology, soil, distance to lineament, lineament density, drainage density ...
Sujit Mandal, Subrata Mondal
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