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Giacomo Titti, Cees van Westen, Lisa Borgatti, Alessandro Pasuto and Luigi Lombardo
Mapping existing landslides is a fundamental prerequisite to build any reliable susceptibility model. From a series of landslide presence/absence conditions and associated landscape characteristics, a binary classifier learns how to distinguish potential...
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Yasin Wahid Rabby and Yingkui Li
Landslide susceptibility mapping is of critical importance to identify landslide-prone areas to reduce future landslides, causalities, and infrastructural damages. This paper presents landslide susceptibility maps at a regional scale for the Chittagong H...
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Faming Huang, Jiawu Chen, Zhen Du, Chi Yao, Jinsong Huang, Qinghui Jiang, Zhilu Chang and Shu Li
Soil erosion (SE) provides slide mass sources for landslide formation, and reflects long-term rainfall erosion destruction of landslides. Therefore, it is possible to obtain more reliable landslide susceptibility prediction results by introducing SE as a...
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Alu Si, Jiquan Zhang, Siqin Tong, Quan Lai, Rui Wang, Na Li and Yongbin Bao
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Christos Chalkias, Maria Ferentinou and Christos Polykretis
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Chiara Martinello, Claudio Mercurio, Chiara Cappadonia, Miguel Ángel Hernández Martínez, Mario Ernesto Reyes Martínez, Jacqueline Yamileth Rivera Ayala, Christian Conoscenti and Edoardo Rotigliano
This research deals with a very relevant topic in the framework of landslide susceptibility mapping, highlighting some very critical drawbacks in using a weak landslide inventory for regional-scale assessment. Tools and strategies for recognizing and app...
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Chiara Martinello, Claudio Mercurio, Chiara Cappadonia, Viviana Bellomo, Andrea Conte, Giampiero Mineo, Giulia Di Frisco, Grazia Azzara, Margherita Bufalini, Marco Materazzi and Edoardo Rotigliano
In statistical landslide susceptibility evaluation, the quality of the model and its prediction image heavily depends on the quality of the landslide inventories used for calibration. However, regional-scale inventories made available by public territori...
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Christos Polykretis, Antigoni Faka and Christos Chalkias
The main purpose of this study is to explore the impact of analysis scale on the performance of a quantitative model for landslide susceptibility assessment through empirical analyses in the northern Peloponnese, Greece. A multivariate statistical model ...
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Sansar Raj Meena, Omid Ghorbanzadeh and Thomas Blaschke
As a result of the Gorkha earthquake in 2015, about 9000 people lost their lives and many more were injured. Most of these losses were caused by earthquake-induced landslides. Sustainable planning and decision-making are required to reduce the losses cau...
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Eva Fedato, Giandomenico Fubelli, Laurie Kurilla and Davide Tiranti
Landslides are the most common natural hazard in the Piemonte region (northwestern Italy). This study is focused on shallow landslides caused by the sliding of the surficial detrital-colluvial cover caused by rainfall and characterized by a sudden and fa...
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Guirong Wang, Xi Chen and Wei Chen
The areas where landslides occur frequently pose severe threats to the local population, which necessitates conducting regional landslide susceptibility mapping (LSM). In this study, four models including weight-of-evidence (WoE) and three WoE-based mode...
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Nuno Lapa, Fernando M. F. S. Marques and Aurora Rodrigues
Mass wasting events are the main processes of sedimentary dynamics that affect the marine environment and which, due to their spatial and temporal variability, are difficult to study and evaluate. Affecting the marine floor, between the coastline and the...
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Christos Polykretis, Kleomenis Kalogeropoulos, Panagiotis Andreopoulos, Antigoni Faka, Andreas Tsatsaris and Christos Chalkias
The main purpose of this study is to comparatively assess the susceptibility of earthquake-triggered landslides in the island of Lefkada (Ionian Islands, Greece) using two different statistical analysis models, a bivariate model represented by frequency ...
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Dario Costanzo and Clemente Irigaray
Forward logistic regression and conditional analysis have been compared to assess landslide susceptibility across the whole territory of the Sicilian region (about 25,000 km2) using previously existing data and a nested tiered approach. These approaches ...
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Handong He, Di Hu, Qun Sun, Lei Zhu and Yanrong Liu
Based on geographic information system (GIS) technology in conjunction with two methods for assessing landslide susceptibility (LS)?namely, a method using experts? knowledge and experience, and a mathematical/statistical method?the LS of southern Anhui, ...
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