Landslide identification using machine learning techniques: Review, motivation, and future prospects
Abstract The WHO (World Health Organization) study reports that, between 1998-2017, 4.8
million people have been affected by landslides with more than 18000 deaths. The …
million people have been affected by landslides with more than 18000 deaths. The …
[HTML][HTML] Uncertainties in landslide susceptibility prediction modeling: A review on the incompleteness of landslide inventory and its influence rules
Landslide inventory is an indispensable output variable of landslide susceptibility prediction
(LSP) modelling. However, the influence of landslide inventory incompleteness on LSP and …
(LSP) modelling. However, the influence of landslide inventory incompleteness on LSP and …
滑坡易发性预测不确定性: 环境因子不同属性区间划分和不同数据驱动模型的影响
黄发明， 叶舟， 姚池， 李远耀， 殷坤龙， 黄劲松， 姜清辉 - 地球科学, 2020 - earth-science.net
对于滑坡易发性预测建模, 连续型环境因子在频率比分析时的属性区间划分数量(attribute
interval numbers, AIN) 和不同易发性预测模型是两个重要不确定性因素 …
interval numbers, AIN) 和不同易发性预测模型是两个重要不确定性因素 …
Uncertainty study of landslide susceptibility prediction considering the different attribute interval numbers of environmental factors and different data-based models
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 …
frequency ratio (FR) analysis of continuous environmental factors and the influences of …
Landslide susceptibility modeling using integrated ensemble weights of evidence with logistic regression and random forest models
W Chen, Z Sun, J Han - Applied sciences, 2019 - mdpi.com
The main aim of this study was to compare the performances of the hybrid approaches of
traditional bivariate weights of evidence (WoE) with multivariate logistic regression (WoE …
traditional bivariate weights of evidence (WoE) with multivariate logistic regression (WoE …
Application of a two-step sampling strategy based on deep neural network for landslide susceptibility mapping
J Yao, S Qin, S Qiao, X Liu, L Zhang, J Chen - Bulletin of Engineering …, 2022 - Springer
The selection of nonlandslide samples is a key issue in landslide susceptibility modeling
(LSM). In view of the potential subjectivity and randomness in random sampling, this paper …
(LSM). In view of the potential subjectivity and randomness in random sampling, this paper …
Identification of torrential valleys using GIS and a novel hybrid integration of artificial intelligence, machine learning and bivariate statistics
The detection of zones exposed to flash-flood and also the torrential valleys on which flash-
floods are propagated, represents a crucial measure intended to eliminate the issues …
floods are propagated, represents a crucial measure intended to eliminate the issues …
[HTML][HTML] Uncertainties of landslide susceptibility prediction: Influences of different spatial resolutions, machine learning models and proportions of training and testing …
This study aims to reveal the impacts of three important uncertainty issues in landslide
susceptibility prediction (LSP), namely the spatial resolution, proportion of model training …
susceptibility prediction (LSP), namely the spatial resolution, proportion of model training …
An integration of UAV-based photogrammetry and 3D modelling for rockfall hazard assessment: the Cárcavos case in 2018 (Spain)
An example of the combined use of UAV photogrammetry and rockfall numerical simulation
is described. A case of fragmental rockfall occurred on 17 November 2018 in Cárcavos, a …
is described. A case of fragmental rockfall occurred on 17 November 2018 in Cárcavos, a …
[HTML][HTML] Deciphering decision-making mechanisms for the susceptibility of different slope geohazards: A case study on a SMOTE-RF-SHAP hybrid model
Different slope geohazards have different causal mechanisms. This study aims to propose a
method to investigate the decision-making mechanisms for the susceptibility of different …
method to investigate the decision-making mechanisms for the susceptibility of different …