Review on landslide susceptibility map** using support vector machines

Y Huang, L Zhao - Catena, 2018 - Elsevier
Landslides are natural phenomena that can cause great loss of life and damage to property.
A landslide susceptibility map is a useful tool to help with land management in landslide …

The role of discontinuities in the susceptibility, development, and runout of rock avalanches: a review

H Lan, Y Zhang, R Macciotta, L Li, Y Wu, H Bao, J Peng - Landslides, 2022 - Springer
Rock avalanche is one of the most spectacular and catastrophic type of natural hazard
phenomena. Those events typically start with a giant rock block or multiple blocks becoming …

Comparisons of heuristic, general statistical and machine learning models for landslide susceptibility prediction and map**

F Huang, Z Cao, J Guo, SH Jiang, S Li, Z Guo - Catena, 2020 - Elsevier
Commonly used data-driven models for landslide susceptibility prediction (LSP) can be
mainly classified as heuristic, general statistical or machine learning models. This study …

Landslide Susceptibility map** using random forest and extreme gradient boosting: A case study of Fengjie, Chongqing

W Zhang, Y He, L Wang, S Liu, X Meng - Geological Journal, 2023 - Wiley Online Library
Landslide susceptibility analysis can provide theoretical support for landslide risk
management. However, some susceptibility analyses are not sufficiently interpretable …

Landslide susceptibility map** using multiscale sampling strategy and convolutional neural network: A case study in Jiuzhaigou region

Y Yi, Z Zhang, W Zhang, H Jia, J Zhang - Catena, 2020 - Elsevier
Landslides are one of the most widespread natural disasters and pose severe threats to
people, properties, and the environment in many areas. Landslide susceptibility map** …

[HTML][HTML] Landslide susceptibility map** and dynamic response along the Sichuan-Tibet transportation corridor using deep learning algorithms

W Huang, M Ding, Z Li, J Yu, D Ge, Q Liu, J Yang - Catena, 2023 - Elsevier
Landslides are one of the most serious natural hazards along the Sichuan-Tibet
transportation corridor, which crosses the most complicated region in the world in terms of …

Evaluating the application of the statistical index method in flood susceptibility map** and its comparison with frequency ratio and logistic regression methods

M Shafapour Tehrany, L Kumar… - … , Natural Hazards and …, 2019 - Taylor & Francis
Statistical methods are the most popular techniques to model and map flood-prone areas.
Although a wide range of statistical methods have been used, application of the statistical …

Uncertainty study of landslide susceptibility prediction considering the different attribute interval numbers of environmental factors and different data-based models

F Huang, Z Ye, SH Jiang, J Huang, Z Chang, J Chen - Catena, 2021 - Elsevier
This paper aims to explore the influences of different attribute interval numbers (AINs) in the
frequency ratio (FR) analysis of continuous environmental factors and the influences of …

Exploring effectiveness of frequency ratio and support vector machine models in storm surge flood susceptibility assessment: A study of Sundarban Biosphere …

M Sahana, S Rehman, H Sajjad, H Hong - Catena, 2020 - Elsevier
Abstract The Sundarban Biosphere Reserve (SBR), which is one of the important coastal
regions of India, is vulnerable to storm surge hazards. It experiences storm surge flood of …

[HTML][HTML] Uncertainties of landslide susceptibility prediction: influences of random errors in landslide conditioning factors and errors reduction by low pass filter method

F Huang, Z Teng, C Yao, SH Jiang, F Catani… - Journal of Rock …, 2024 - Elsevier
In the existing landslide susceptibility prediction (LSP) models, the influences of random
errors in landslide conditioning factors on LSP are not considered, instead the original …