Landslide susceptibility mapping and dynamic response along the Sichuan-Tibet transportation corridor using deep learning algorithms

Comprehensive performance assessment of landslide susceptibility mapping with MLP and random forest: a case study after Elazig earthquake (24 Jan 2020, Mw 6.8), Turkey

(2022) Gizem Karakas et al.   Environmental Earth Sciences

An attention-constrained neural network with overall cognition for landslide spatial prediction

(2022) Ruilong Wei et al.   Landslides

An Efficient User-Friendly Integration Tool for Landslide Susceptibility Mapping Based on Support Vector Machines: SVM-LSM Toolbox

(2022) Wubiao Huang et al.   Remote Sensing

Scientific challenges in disaster risk reduction for the Sichuan–Tibet Railway

(2022) Peng Cui et al.   ENGINEERING GEOLOGY

Assessment of shallow landslide susceptibility using an artificial neural network

(2021) Bin Zeng et al.   Arabian Journal of Geosciences

AI-Based Susceptibility Analysis of Shallow Landslides Induced by Heavy Rainfall in Tianshui, China

(2021) Tianjun Qi et al.   Remote Sensing

AI-powered landslide susceptibility assessment in Hong Kong

(2021) Haojie Wang et al.   ENGINEERING GEOLOGY

High-resolution triplet network with dynamic multiscale feature for change detection on satellite images

(2021) Xuan Hou et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Incorporating Landslide Spatial Information and Correlated Features among Conditioning Factors for Landslide Susceptibility Mapping

(2021) Xin Yang et al.   Remote Sensing

GIS-based spatial prediction of landslide using road factors and random forest for Sichuan-Tibet Highway

(2021) Cheng-ming Ye et al.   Journal of Mountain Science

Optimizing the frequency ratio method for landslide susceptibility assessment: A case study of the Caiyuan Basin in the southeast mountainous area of China

(2020) Yi-xing Zhang et al.   Journal of Mountain Science

Landslide detection from an open satellite imagery and digital elevation model dataset using attention boosted convolutional neural networks

(2020) Shunping Ji et al.   Landslides

A spatially explicit deep learning neural network model for the prediction of landslide susceptibility

(2020) Dong Van Dao et al.   CATENA

Comparative study of landslide susceptibility mapping with different recurrent neural networks

(2020) Yi Wang et al.   COMPUTERS & GEOSCIENCES

Machine learning ensemble modelling as a tool to improve landslide susceptibility mapping reliability

(2020) Mariano Di Napoli et al.   Landslides

Integration of convolutional neural network and conventional machine learning classifiers for landslide susceptibility mapping

(2020) Zhice Fang et al.   COMPUTERS & GEOSCIENCES

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

(2020) Deliang Sun et al.   GEOMORPHOLOGY

Dynamic development of landslide susceptibility based on slope unit and deep neural networks

(2020) Ye Hua et al.   Landslides

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

(2020) Yongwei Li et al.   Natural Hazards

Evaluating the Effects of Digital Elevation Models in Landslide Susceptibility Mapping in Rangamati District, Bangladesh

(2020) Yasin Wahid Rabby et al.   Remote Sensing

Assessment of Landslide Susceptibility Combining Deep Learning with Semi-Supervised Learning in Jiaohe County, Jilin Province, China

(2020) Jingyu Yao et al.   Applied Sciences-Basel

Spatial landslide susceptibility assessment using machine learning techniques assisted by additional data created with generative adversarial networks

(2020) Husam.A.H. Al-Najjar et al.   Geoscience Frontiers

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

(2020) Yaning Yi et al.   CATENA

Evaluation of Floods and Landslides Triggered by a Meteorological Catastrophe (Ordu, Turkey, August 2018) Using Optical and Radar Data

(2020) Sultan Kocaman et al.   GEOFLUIDS

Susceptibility Mapping on Urban Landslides Using Deep Learning Approaches in Mt. Umyeon

(2020) Sunmin Lee et al.   Applied Sciences-Basel

Assessment of landslide susceptibility mapping based on Bayesian hyperparameter optimization: A comparison between logistic regression and random forest

(2020) Deliang Sun et al.   ENGINEERING GEOLOGY

Comparison of convolutional neural networks for landslide susceptibility mapping in Yanshan County, China

(2019) Yi Wang et al.   SCIENCE OF THE TOTAL ENVIRONMENT

A Convolutional Neural Network Architecture for Auto-Detection of Landslide Photographs to Assess Citizen Science and Volunteered Geographic Information Data Quality

(2019) Recep Can et al.   ISPRS International Journal of Geo-Information

Landslide Susceptibility Mapping Combining Information Gain Ratio and Support Vector Machines: A Case Study from Wushan Segment in the Three Gorges Reservoir Area, China

(2019) Lanbing Yu et al.   Applied Sciences-Basel

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

(2019) Maher Ibrahim Sameen et al.   CATENA

An Experimental Research on the Use of Recurrent Neural Networks in Landslide Susceptibility Mapping

(2019) Begum Mutlu et al.   ISPRS International Journal of Geo-Information

Squeeze-and-Excitation Networks

(2019) Jie Hu et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

A review of statistically-based landslide susceptibility models

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

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

Statistical landslide susceptibility assessment in a dynamic environment: A case study for Lanzhou City, Gansu Province, NW China

(2018) Jewgenij Torizin et al.   Journal of Mountain Science

Performance evaluation of the GIS-based data mining techniques of best-first decision tree, random forest, and naïve Bayes tree for landslide susceptibility modeling

(2018) Wei Chen et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Assessment of Geohazards and Preventative Countermeasures Using AHP Incorporated with GIS in Lanzhou, China

(2018) Hai-Min Lyu et al.   Sustainability

A shallow slide prediction model combining rainfall threshold warnings and shallow slide susceptibility in Busan, Korea

(2018) Ananta Man Singh Pradhan et al.   Landslides

Suitability estimation for urban development using multi-hazard assessment map

(2017) George D. Bathrellos et al.   SCIENCE OF THE TOTAL ENVIRONMENT

GIS-based modeling of rainfall-induced landslides using data mining-based functional trees classifier with AdaBoost, Bagging, and MultiBoost ensemble frameworks

(2016) Dieu Tien Bui et al.   Environmental Earth Sciences

A modified frequency ratio method for landslide susceptibility assessment

(2016) Langping Li et al.   Landslides

Quantitative assessment of landslide susceptibility along the Xianshuihe fault zone, Tibetan Plateau, China

(2015) Changbao Guo et al.   GEOMORPHOLOGY

Assessment of rainfall-generated shallow landslide/debris-flow susceptibility and runout using a GIS-based approach: application to western Southern Alps of New Zealand

(2014) Theodosios Kritikos et al.   Landslides

A modified analytical hierarchy process (M-AHP) approach for decision support systems in natural hazard assessments

(2013) H.A. Nefeslioglu et al.   COMPUTERS & GEOSCIENCES

A comparison of logistic regression-based models of susceptibility to landslides in western Colorado, USA

(2013) Netra R. Regmi et al.   Landslides

A comparative study on the predictive ability of the decision tree, support vector machine and neuro-fuzzy models in landslide susceptibility mapping using GIS

(2012) Biswajeet Pradhan   COMPUTERS & GEOSCIENCES

GIS-based support vector machine modeling of earthquake-triggered landslide susceptibility in the Jianjiang River watershed, China

(2012) Chong Xu et al.   GEOMORPHOLOGY