A New Approach to Spatial Landslide Susceptibility Prediction in Karst Mining Areas Based on Explainable Artificial Intelligence

Multi-Temporal InSAR Deformation Monitoring Zongling Landslide Group in Guizhou Province Based on the Adaptive Network Method

(2023) Yu Zhu et al.   Sustainability

Review of landslide susceptibility assessment based on knowledge mapping

(2022) Chen Yong et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

A GIS-Based Landslide Susceptibility Mapping and Variable Importance Analysis Using Artificial Intelligent Training-Based Methods

(2022) Pengxiang Zhao et al.   Remote Sensing

Research on landslide hazard spatial prediction models based on deep neural networks: a case study of northwest Sichuan, China

(2022) Huangyuying Zheng et al.   Environmental Earth Sciences

An interpretable model for the susceptibility of rainfall-induced shallow landslides based on SHAP and XGBoost

(2022) Xinzhi Zhou et al.   Geocarto International

Landslide Susceptibility Assessment Considering Spatial Agglomeration and Dispersion Characteristics: A Case Study of Bijie City in Guizhou Province, China

(2022) Kezhen Yao et al.   ISPRS International Journal of Geo-Information

On the Tractability of SHAP Explanations

(2022) Guy Van den Broeck et al.   JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH

Analysis of the Influence of Forests on Landslides in the Bijie Area of Guizhou

(2022) Yu Zhang et al.   Forests

Using Electrical Resistivity Tomography to Monitor the Evolution of Landslides’ Safety Factors under Rainfall: A Feasibility Study Based on Numerical Simulation

(2022) Dongxin Bai et al.   Remote Sensing

Identifying the essential conditioning factors of landslide susceptibility models under different grid resolutions using hybrid machine learning: A case of Wushan and Wuxi counties, China

(2022) Mingyong Liao et al.   CATENA

Failure mechanism and evolution of the Jinhaihu landslide in Bijie City, China, on January 3, 2022

(2022) Tongwei Tao et al.   Landslides

An integrated approach to develop a slope susceptibility map based on a GIS-based approach, soft computing technique and finite element formulation of the bound theorems

(2022) Fhatuwani Sengani et al.   Transportation Geotechnics

Spatial prediction of landslide susceptibility using projected storm rainfall and land use in Himalayan region

(2021) Indrajit Chowdhuri et al.   Bulletin of Engineering Geology and the Environment

Deformation monitoring and failure mode research of mining-induced Jianshanying landslide in karst mountain area, China with ALOS/PALSAR-2 images

(2021) Liquan Chen et al.   Landslides

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

(2021) Faming Huang et al.   CATENA

GAMI-Net: An explainable neural network based on generalized additive models with structured interactions

(2021) Zebin Yang et al.   PATTERN RECOGNITION

Deep learning-based landslide susceptibility mapping

(2021) Mohammad Azarafza et al.   Scientific Reports

Adaptive iterative attack towards explainable adversarial robustness

(2020) Yucheng Shi et al.   PATTERN RECOGNITION

Monitoring of large-scale landslides in Zongling, Guizhou, China, with improved distributed scatterer interferometric SAR time series methods

(2020) Jing Wang et al.   Landslides

Landslide Susceptibility Mapping: Machine and Ensemble Learning Based on Remote Sensing Big Data

(2020) Bahareh Kalantar et al.   Remote Sensing

A random forest model of landslide susceptibility mapping based on hyperparameter optimization using Bayes algorithm

(2020) Deliang Sun et al.   GEOMORPHOLOGY

Failure mode and effects analysis of RC members based on machine-learning-based SHapley Additive exPlanations (SHAP) approach

(2020) Sujith Mangalathu et al.   ENGINEERING STRUCTURES

Influence of human activity on landslide susceptibility development in the Three Gorges area

(2020) Yongwei Li et al.   Natural Hazards

On the Importance of Train–Test Split Ratio of Datasets in Automatic Landslide Detection by Supervised Classification

(2020) Kamila Pawluszek-Filipiak et al.   Remote Sensing

GIS-based landslide susceptibility assessment using optimized hybrid machine learning methods

(2020) Xi Chen et al.   CATENA

Integrating principal component analysis with statistically-based models for analysis of causal factors and landslide susceptibility mapping: A comparative study from the loess plateau area in Shanxi (China)

(2020) Yaming Tang et al.   JOURNAL OF CLEANER PRODUCTION

Assessment of advanced random forest and decision tree algorithms for modeling rainfall-induced landslide susceptibility in the Izu-Oshima Volcanic Island, Japan

(2019) Jie Dou et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Downscaling Satellite Precipitation Estimates with Multiple Linear Regression, Artificial Neural Networks and Spline Interpolation Techniques

(2019) E. Sharifi et al.   JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES

Mine landslide susceptibility assessment using IVM, ANN and SVM models considering the contribution of affecting factors

(2019) Xiangang Luo et al.   PLoS One

Landslide Susceptibility Mapping of Karakorum Highway Combined with the Application of SBAS-InSAR Technology

(2019) Fumeng Zhao et al.   SENSORS

Generalized additive models: Building evidence of air pollution, climate change and human health

(2019) Khaiwal Ravindra et al.   ENVIRONMENT INTERNATIONAL

Refinement of Landslide Susceptibility Map Using Persistent Scatterer Interferometry in Areas of Intense Mining Activities in the Karst Region of Southwest China

(2019) Chaoyong Shen et al.   Remote Sensing

A Comparison of Support Vector Machines and Bayesian Algorithms for Landslide Susceptibility Modeling

(2018) Binh Thai Pham et al.   Geocarto International

A novel hybrid approach for landslide susceptibility mapping integrating analytical hierarchy process and normalized frequency ratio methods with the cloud model

(2018) Fei Yan et al.   GEOMORPHOLOGY

Landslides in a changing climate

(2016) Stefano Luigi Gariano et al.   EARTH-SCIENCE REVIEWS

Application of eccentric growth of trees as a tool for landslide analyses: The example of Picea abies Karst. in the Carpathian and Sudeten Mountains (Central Europe)

(2013) Małgorzata Wistuba et al.   CATENA

Using MODIS NDVI Time Series to Identify Geographic Patterns of Landslides in Vegetated Regions

(2012) Wentao Yang et al.   IEEE Geoscience and Remote Sensing Letters

Landslide susceptibility mapping based on Support Vector Machine: A case study on natural slopes of Hong Kong, China

(2008) X. Yao et al.   GEOMORPHOLOGY