A review of the recent literature on rainfall thresholds for landslide occurrence

S Segoni, L Piciullo, SL Gariano - Landslides, 2018 - Springer
The topic of rainfall thresholds for landslide occurrence was thoroughly investigated,
producing abundance of case studies at different scales of analysis and several technical …

Landslide risk reduction measures: A review of practices and challenges for the tropics

J Maes, M Kervyn, A de Hontheim… - Progress in …, 2017 - journals.sagepub.com
The overall objective of this review is to gain insights into landslide risk reduction measures
that are applied or recommended in tropical landslide-prone countries, and the challenges …

Novel hybrid artificial intelligence approach of bivariate statistical-methods-based kernel logistic regression classifier for landslide susceptibility modeling

W Chen, H Shahabi, A Shirzadi, H Hong… - Bulletin of Engineering …, 2019 - Springer
Globally, and in China, landslides constitute one of the most important and frequently
encountered natural hazard events. In the present study, landslide susceptibility evaluation …

[HTML][HTML] Early warning system for shallow landslides using rainfall threshold and slope stability analysis

S Naidu, KS Sajinkumar, T Oommen, VJ Anuja… - Geoscience …, 2018 - Elsevier
A combined cluster and regression analysis were performed for the first time to identify
rainfall threshold that triggers landslide events in Amboori, Kerala, India. Amboori is a …

Usage of antecedent soil moisture for improving the performance of rainfall thresholds for landslide early warning

MT Abraham, N Satyam, A Rosi, B Pradhan, S Segoni - Catena, 2021 - Elsevier
Landslides triggered by heavy rains are increasing in number and creating severe losses in
hilly regions across the world. Rainfall thresholds on regional and local-scales are being …

Landslide mapping from aerial photographs using change detection-based Markov random field

Z Li, W Shi, P Lu, L Yan, Q Wang, Z Miao - Remote sensing of environment, 2016 - Elsevier
Landslide mapping (LM) is essential for hazard prevention, mitigation, and vulnerability
assessment. Despite the great efforts over the past few years, there is room for improvement …

Landslide vulnerability and risk assessment for multi-hazard scenarios using airborne laser scanning data (LiDAR)

WM Abdulwahid, B Pradhan - Landslides, 2017 - Springer
Landslide hazard, vulnerability, and risk-zoning maps are considered in the decision-
making process that involves land use/land cover (LULC) planning in disaster-prone areas …

[HTML][HTML] A susceptibility-based rainfall threshold approach for landslide occurrence

E Monsieurs, O Dewitte… - Natural Hazards and …, 2019 - nhess.copernicus.org
Rainfall threshold determination is a pressing issue in the landslide scientific community.
While major improvements have been made towards more reproducible techniques for the …

Estimation of rainfall-induced landslides using the TRIGRS model

A Dikshit, N Satyam, B Pradhan - Earth Systems and Environment, 2019 - Springer
Rainfall-induced landslides have become the biggest threat in the Indian Himalayas and
their increasing frequency has led to serious calamities. Several models have been built …

A hybrid model using data mining and multi-criteria decision-making methods for landslide risk mapping at Golestan Province, Iran

E Rafiei Sardooi, A Azareh, T Mesbahzadeh… - Environmental Earth …, 2021 - Springer
The accurate modeling of landslide risk is essential pre-requisite for the development of
reliable landslide control and mitigation strategies. However, landslide risk depends on the …