Rainfall-Induced Shallow Landslide Susceptibility Mapping at Two Adjacent Catchments Using Advanced Machine Learning Algorithms

Landslide susceptibility assessment based on an incomplete landslide inventory in the Jilong Valley, Tibet, Chinese Himalayas

(2020) Juan Du et al.   ENGINEERING GEOLOGY

Generating Substantially Complete Landslide Inventory using Multiple Data Sources: A Case Study in Northwest Himalayas, India

(2020) T. Ghosh et al.   JOURNAL OF THE GEOLOGICAL SOCIETY OF INDIA

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

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

Effectiveness assessment of Keras based deep learning with different robust optimization algorithms for shallow landslide susceptibility mapping at tropical area

(2020) Viet-Ha Nhu et al.   CATENA

Evaluation of Different Machine Learning Methods and Deep-Learning Convolutional Neural Networks for Landslide Detection

(2019) Omid Ghorbanzadeh et al.   Remote Sensing

Hybrid Machine Learning Approaches for Landslide Susceptibility Modeling

(2019) Vu Nguyen et al.   Forests

Landslide spatial modelling using novel bivariate statistical based Naïve Bayes, RBF Classifier, and RBF Network machine learning algorithms

(2019) Qingfeng He et al.   SCIENCE OF THE TOTAL ENVIRONMENT

PS-driven inventory of town-damaging landslides in the Benevento, Avellino and Salerno Provinces, southern Italy

(2019) Luigi Guerriero et al.   Journal of Maps

Systematic sample subdividing strategy for training landslide susceptibility models

(2019) Maher Ibrahim Sameen et al.   CATENA

Novel ensembles of COPRAS multi-criteria decision-making with logistic regression, boosted regression tree, and random forest for spatial prediction of gully erosion susceptibility

(2019) Alireza Arabameri et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Landslide susceptibility mapping using J48 Decision Tree with AdaBoost, Bagging and Rotation Forest ensembles in the Guangchang area (China)

(2018) Haoyuan Hong et al.   CATENA

Lithological controls on hillslope sediment supply: insights from landslide activity and grain size distributions

(2018) Duna C. Roda-Boluda et al.   EARTH SURFACE PROCESSES AND LANDFORMS

A review of statistically-based landslide susceptibility models

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

Assessment of co-seismic landslide susceptibility using LR and ANCOVA in Barpak region, Nepal

(2018) Suchita Shrestha et al.   Journal of Earth System Science

Aerial Mapping of Forests Affected by Pathogens Using UAVs, Hyperspectral Sensors, and Artificial Intelligence

(2018) Juan Sandino et al.   SENSORS

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

(2018) Ananta Man Singh Pradhan et al.   Landslides

Landslide Susceptibility Assessment Using Integrated Deep Learning Algorithm along the China-Nepal Highway

(2018) Liming Xiao et al.   SENSORS

A Novel Hybrid Approach of Landslide Susceptibility Modeling Using Rotation Forest Ensemble and Different Base Classifiers

(2018) Binh Thai Pham et al.   Geocarto International

Assessment of Landslide-Prone Areas and Their Zonation Using Logistic Regression, LogitBoost, and NaïveBayes Machine-Learning Algorithms

(2018) Hamid Pourghasemi et al.   Sustainability

Landslide Susceptibility Mapping Based on Weighted Gradient Boosting Decision Tree in Wanzhou Section of the Three Gorges Reservoir Area (China)

(2018) Yingxu Song et al.   ISPRS International Journal of Geo-Information

Urban flood risk mapping using the GARP and QUEST models: A comparative study of machine learning techniques

(2018) Hamid Darabi et al.   JOURNAL OF HYDROLOGY

A novel artificial intelligence approach based on Multi-layer Perceptron Neural Network and Biogeography-based Optimization for predicting coefficient of consolidation of soil

(2018) Binh Thai Pham et al.   CATENA

Landslide susceptibility modeling using Reduced Error Pruning Trees and different ensemble techniques: Hybrid machine learning approaches

(2018) Binh Thai Pham et al.   CATENA

A Tool for Classification and Regression Using Random Forest Methodology: Applications to Landslide Susceptibility Mapping and Soil Thickness Modeling

(2017) Daniela Lagomarsino et al.   ENVIRONMENTAL MODELING & ASSESSMENT

The new landslide inventory of Tuscany (Italy) updated with PS-InSAR: geomorphological features and landslide distribution

(2017) A. Rosi et al.   Landslides

Landslide susceptibility mapping using random forest and boosted tree models in Pyeong-Chang, Korea

(2017) Jeong-Cheol Kim et al.   Geocarto International

Application of a GIS-Based Slope Unit Method for Landslide Susceptibility Mapping along the Longzi River, Southeastern Tibetan Plateau, China

(2017) Fei Wang et al.   ISPRS International Journal of Geo-Information

An Ensemble Model for Co-Seismic Landslide Susceptibility Using GIS and Random Forest Method

(2017) Suchita Shrestha et al.   ISPRS International Journal of Geo-Information

Evaluation of a combined spatial multi-criteria evaluation model and deterministic model for landslide susceptibility mapping

(2016) A.M.S. Pradhan et al.   CATENA

Toward an Integration of Deep Learning and Neuroscience

(2016) Adam H. Marblestone et al.   Frontiers in Computational Neuroscience

Applicability of generalized additive model in groundwater potential modelling and comparison its performance by bivariate statistical methods

(2016) Fatemeh Falah et al.   Geocarto International

A GIS-based comparative study of Dempster-Shafer, logistic regression and artificial neural network models for landslide susceptibility mapping

(2016) Wei Chen et al.   Geocarto International

Is the present the key to the future?

(2015) Stefano Furlani et al.   EARTH-SCIENCE REVIEWS

Binary logistic regression versus stochastic gradient boosted decision trees in assessing landslide susceptibility for multiple-occurring landslide events: application to the 2009 storm event in Messina (Sicily, southern Italy)

(2015) L. Lombardo et al.   NATURAL HAZARDS

Relative effect method of landslide susceptibility zonation in weathered granite soil: a case study in Deokjeok-ri Creek, South Korea

(2014) Ananta Man Singh Pradhan et al.   NATURAL HAZARDS

Integration of Remote Sensing Techniques for Intensity Zonation within a Landslide Area: A Case Study in the Northern Apennines, Italy

(2014) Veronica Tofani et al.   Remote Sensing

Recommendations for the quantitative analysis of landslide risk

(2013) J. Corominas et al.   Bulletin of Engineering Geology and the Environment

Landslide susceptibility mapping using GIS-based multi-criteria decision analysis, support vector machines, and logistic regression

(2013) Taskin Kavzoglu et al.   Landslides

Detecting fingerprints of landslide drivers: A MaxEnt model

(2013) M. Convertino et al.   JOURNAL OF GEOPHYSICAL RESEARCH-EARTH SURFACE

Landslide temporal analysis and susceptibility assessment as bases for landslide mitigation, Machu Picchu, Peru

(2012) Jan Klimeš   Environmental Earth Sciences

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

(2012) Chong Xu et al.   GEOMORPHOLOGY

Landslide susceptibility assessment: what are the effects of mapping unit and mapping method?

(2011) A. Erener et al.   Environmental Earth Sciences

Height Above the Nearest Drainage – a hydrologically relevant new terrain model

(2011) A.D. Nobre et al.   JOURNAL OF HYDROLOGY

New approaches to modelling fish–habitat relationships

(2009) Anders Knudby et al.   ECOLOGICAL MODELLING

Multiple Linear Regression

(2008) Bryan K. Slinker et al.   CIRCULATION

Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation

(2008) Steven J. Phillips et al.   ECOGRAPHY