Data-Driven Landslide Spatial Prediction and Deformation Monitoring: A Case Study of Shiyan City, China

A critical review about generic subaerial landslide-tsunami experiments and options for a needed step change

(2023) Valentin Heller et al.   EARTH-SCIENCE REVIEWS

The 21 July 2020 Shaziba landslide in China: Results from multi-source satellite remote sensing

(2023) Wandi Wang et al.   REMOTE SENSING OF ENVIRONMENT

Formation and evolution of a giant old deposit in the First Bend of the Yangtze River on the southeastern margin of the Qinghai-Tibet Plateau

(2022) Yuchao Li et al.   CATENA

Characteristic comparison of seepage-driven and buoyancy-driven landslides in Three Gorges Reservoir area, China

(2022) Chao Zhou et al.   ENGINEERING GEOLOGY

Enhanced dynamic landslide hazard mapping using MT-InSAR method in the Three Gorges Reservoir Area

(2022) Chao Zhou et al.   Landslides

Prediction of spatial landslide susceptibility applying the novel ensembles of CNN, GLM and random forest in the Indian Himalayan region

(2022) Sunil Saha et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Centrifugal model test on a riverine landslide in the Three Gorges Reservoir induced by rainfall and water level fluctuation

(2022) Fasheng Miao et al.   Geoscience Frontiers

Landslide susceptibility mapping using deep learning models in Ardabil province, Iran

(2022) Hossein Hamedi et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Threshold assessment of rainfall-induced landslides in Sangzhi County: statistical analysis and physical model

(2022) Yifan Sheng et al.   Bulletin of Engineering Geology and the Environment

Multi-hazard susceptibility mapping based on Convolutional Neural Networks

(2022) Kashif Ullah et al.   Geoscience Frontiers

A multi-field and fluid–solid coupling method for porous media based on DEM-PNM

(2022) Yao Zhu et al.   COMPUTERS AND GEOTECHNICS

A Hybrid Optimization Method of Factor Screening Predicated on GeoDetector and Random Forest for Landslide Susceptibility Mapping

(2021) Deliang Sun et al.   GEOMORPHOLOGY

Inferring the Subsurface Geometry and Strength of Slow‐moving Landslides using 3D Velocity Measurements from the NASA/JPL UAVSAR

(2021) A. L. Handwerger et al.   JOURNAL OF GEOPHYSICAL RESEARCH-EARTH SURFACE

Integration of Sentinel-1 and ALOS/PALSAR-2 SAR datasets for mapping active landslides along the Jinsha River corridor, China

(2021) Xiaojie Liu et al.   ENGINEERING GEOLOGY

Spatiotemporal modelling of rainfall-induced landslides using machine learning

(2021) C. W. W. Ng et al.   Landslides

Stacking ensemble of deep learning methods for landslide susceptibility mapping in the Three Gorges Reservoir area, China

(2021) Wenjuan Li et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Applying deep learning and benchmark machine learning algorithms for landslide susceptibility modelling in Rorachu river basin of Sikkim Himalaya, India

(2021) Kanu Mandal et al.   Geoscience Frontiers

Landslide susceptibility assessment using weights-of-evidence model and cluster analysis along the highways in the Hubei section of the Three Gorges Reservoir Area

(2021) Linfei Chen et al.   COMPUTERS & GEOSCIENCES

Integrating deep learning and logging data analytics for lithofacies classification and 3D modeling of tight sandstone reservoirs

(2021) Jing-Jing Liu et al.   Geoscience Frontiers

A tree-based intelligence ensemble approach for spatial prediction of potential groundwater

(2020) Mohammadtaghi Avand et al.   International Journal of Digital Earth

Different sampling strategies for predicting landslide susceptibilities are deemed less consequential with deep learning

(2020) Jie Dou et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Landslide Susceptibility Prediction Based on Remote Sensing Images and GIS: Comparisons of Supervised and Unsupervised Machine Learning Models

(2020) Zhilu Chang et al.   Remote Sensing

Comparative study of landslide susceptibility mapping with different recurrent neural networks

(2020) Yi Wang et al.   COMPUTERS & GEOSCIENCES

Evaluating the usage of tree-based ensemble methods in groundwater spring potential mapping

(2020) Wei Chen et al.   JOURNAL OF HYDROLOGY

Entering the Era of Earth Observation-Based Landslide Warning Systems: A Novel and Exciting Framework

(2020) Keren Dai et al.   IEEE Geoscience and Remote Sensing Magazine

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

(2020) Faming Huang et al.   CATENA

Landslide susceptibility mapping using machine learning algorithms and comparison of their performance at Abha Basin, Asir Region, Saudi Arabia

(2020) Ahmed Mohamed Youssef et al.   Geoscience Frontiers

Can deep learning algorithms outperform benchmark machine learning algorithms in flood susceptibility modeling?

(2020) Binh Thai Pham et al.   JOURNAL OF HYDROLOGY

GIS-Based Landslide Susceptibility Modeling: A Comparison between Fuzzy Multi-Criteria and Machine Learning Algorithms

(2020) Sk Ajim Ali et al.   Geoscience Frontiers

Internal kinematics of the Slumgullion landslide (USA) from high-resolution UAVSAR InSAR data

(2020) Xie Hu et al.   REMOTE SENSING OF ENVIRONMENT

Spatial prediction of landslide susceptibility in western Serbia using hybrid support vector regression (SVR) with GWO, BAT and COA algorithms

(2020) Abdul-Lateef Balogun et al.   Geoscience Frontiers

A Comparative Assessment of Flood Susceptibility Modeling Using Multi-Criteria Decision-Making Analysis and Machine Learning Methods

(2019) Khabat Khosravi et al.   JOURNAL OF HYDROLOGY

On the use of hierarchical fuzzy inference systems (HFIS) in expert-based landslide susceptibility mapping: the central part of the Rif Mountains (Morocco)

(2019) B. C. Ozer et al.   Bulletin of Engineering Geology and the Environment

Long-term InSAR, borehole inclinometer, and rainfall records provide insight into the mechanism and activity patterns of an extremely slow urbanized landslide

(2019) Janusz Wasowski et al.   Landslides

A deep learning algorithm using a fully connected sparse autoencoder neural network for landslide susceptibility prediction

(2019) Faming Huang et al.   Landslides

A novel deep learning neural network approach for predicting flash flood susceptibility: A case study at a high frequency tropical storm area

(2019) Dieu Tien Bui et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Systematic sample subdividing strategy for training landslide susceptibility models

(2019) Maher Ibrahim Sameen et al.   CATENA

How do machine learning techniques help in increasing accuracy of landslide susceptibility maps?

(2019) Yacine Achour et al.   Geoscience Frontiers

Is multi-hazard mapping effective in assessing natural hazards and integrated watershed management?

(2019) Hamid Reza Pourghasemi et al.   Geoscience Frontiers

Artificial neural network ensembles applied to the mapping of landslide susceptibility

(2019) L. Bragagnolo et al.   CATENA

Application of convolutional neural networks featuring Bayesian optimization for landslide susceptibility assessment

(2019) Maher Ibrahim Sameen et al.   CATENA

A similarity-based approach to sampling absence data for landslide susceptibility mapping using data-driven methods

(2019) A-Xing Zhu et al.   CATENA

Satellite Interferometry as a Tool for Early Warning and Aiding Decision Making in an Open-Pit Mine

(2019) Emanuele Intrieri et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Modeling flood susceptibility using data-driven approaches of naïve Bayes tree, alternating decision tree, and random forest methods

(2019) Wei Chen et al.   SCIENCE OF THE TOTAL ENVIRONMENT

A Multi‐Phase Mass Flow Model

(2019) Shiva P. Pudasaini et al.   JOURNAL OF GEOPHYSICAL RESEARCH-EARTH SURFACE

A novel hybrid intelligent model of support vector machines and the MultiBoost ensemble for landslide susceptibility modeling

(2018) Binh Thai Pham et al.   Bulletin of Engineering Geology and the Environment

A review of statistically-based landslide susceptibility models

(2018) Paola Reichenbach et al.   EARTH-SCIENCE REVIEWS

Optimizing landslide susceptibility zonation: Effects of DEM spatial resolution and slope unit delineation on logistic regression models

(2018) R. Schlögel et al.   GEOMORPHOLOGY

Comparison of GIS-based landslide susceptibility models using frequency ratio, logistic regression, and artificial neural network in a tertiary region of Ambon, Indonesia

(2018) Aril Aditian et al.   GEOMORPHOLOGY

Novel forecasting approaches using combination of machine learning and statistical models for flood susceptibility mapping

(2018) Hossein Shafizadeh-Moghadam et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

Mapping flood susceptibility in mountainous areas on a national scale in China

(2018) Gang Zhao et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Risk modelling as a tool to support natural hazard risk management in New Zealand local government

(2018) M.H. Crawford et al.   International Journal of Disaster Risk Reduction

Centrifuge model test on the retrogressive landslide subjected to reservoir water level fluctuation

(2018) Fasheng Miao et al.   ENGINEERING GEOLOGY

A new GIS-based data mining technique using an adaptive neuro-fuzzy inference system (ANFIS) and k-fold cross-validation approach for land subsidence susceptibility mapping

(2018) Omid Ghorbanzadeh et al.   NATURAL HAZARDS

Mapping landslide susceptibility with frequency ratio, statistical index, and weights of evidence models: a case study in northern Iran

(2017) Samaneh Razavizadeh et al.   Environmental Earth Sciences

Comparison of statistical methods and multi-time validation for the determination of the shallow landslide rainfall thresholds

(2017) Yuri Galanti et al.   Landslides

The influence of slope-angle ratio on the dynamics of granular flows: insights from laboratory experiments

(2016) R. Sulpizio et al.   BULLETIN OF VOLCANOLOGY

Remote sensing and GIS-based landslide susceptibility mapping using frequency ratio, logistic regression, and fuzzy logic methods at the central Zab basin, Iran

(2015) Himan Shahabi et al.   Environmental Earth Sciences

GIS-based prediction method of landslide susceptibility using a rainfall infiltration-groundwater flow model

(2014) Junghwan Kim et al.   ENGINEERING GEOLOGY

Application of frequency ratio, statistical index, and weights-of-evidence models and their comparison in landslide susceptibility mapping in Central Nepal Himalaya

(2013) Amar Deep Regmi et al.   Arabian Journal of Geosciences

Discrete element modeling of a rainfall-induced flowslide

(2012) Wei Chao Li et al.   ENGINEERING GEOLOGY

An easy-to-use MATLAB program (MamLand) for the assessment of landslide susceptibility using a Mamdani fuzzy algorithm

(2011) A. Akgun et al.   COMPUTERS & GEOSCIENCES

A New Algorithm for Processing Interferometric Data-Stacks: SqueeSAR

(2011) Alessandro Ferretti et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING