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

A Hybrid Model Consisting of Supervised and Unsupervised Learning for Landslide Susceptibility Mapping

(2021) Zhu Liang et al.   Remote Sensing

Applicability of spatial prediction models for landslide susceptibility in land-use zoning instruments: a guideline in a coastal settlement in South-Central Chile

(2021) Pablo López et al.   Geocarto International

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

Comparison between Deep Learning and Tree-Based Machine Learning Approaches for Landslide Susceptibility Mapping

(2021) Sunil Saha et al.   Water

Mapping the Topographic Features of Mining-Related Valley Fills Using Mask R-CNN Deep Learning and Digital Elevation Data

(2020) Aaron E. Maxwell et al.   Remote Sensing

Flood Detection and Susceptibility Mapping Using Sentinel-1 Remote Sensing Data and a Machine Learning Approach: Hybrid Intelligence of Bagging Ensemble Based on K-Nearest Neighbor Classifier

(2020) Himan Shahabi et al.   Remote Sensing

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

(2020) Dong Van Dao et al.   CATENA

Landslide Susceptibility Prediction Modeling Based on Remote Sensing and a Novel Deep Learning Algorithm of a Cascade-Parallel Recurrent Neural Network

(2020) Li Zhu et al.   SENSORS

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

(2020) Bahareh Kalantar et al.   Remote Sensing

Evaluating the Performance of Individual and Novel Ensemble of Machine Learning and Statistical Models for Landslide Susceptibility Assessment at Rudraprayag District of Garhwal Himalaya

(2020) Sunil Saha et al.   Applied Sciences-Basel

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

(2020) Zhice Fang et al.   COMPUTERS & GEOSCIENCES

Machine learning methods for landslide susceptibility studies: A comparative overview of algorithm performance

(2020) Abdelaziz Merghadi et al.   EARTH-SCIENCE REVIEWS

Modeling the landslide-generated debris flow from formation to propagation and run-out by considering the effect of vegetation

(2020) Wei Liu et al.   Landslides

Performance Evaluation of GIS-Based Artificial Intelligence Approaches for Landslide Susceptibility Modeling and Spatial Patterns Analysis

(2020) Xinxiang Lei et al.   ISPRS International Journal of Geo-Information

Evaluation of deep learning algorithms for national scale landslide susceptibility mapping of Iran

(2020) Phuong Thao Thi Ngo et al.   Geoscience Frontiers

GIS-based forest fire susceptibility modeling in Pauri Garhwal, India: a comparative assessment of frequency ratio, analytic hierarchy process and fuzzy modeling techniques

(2020) Anuj Tiwari et al.   Natural Hazards

Prediction of Landslide Susceptibility in Rudraprayag, India Using Novel Ensemble of Conditional Probability and Boosted Regression Tree-Based on Cross-Validation Method

(2020) Sunil Saha et al.   SCIENCE OF THE TOTAL ENVIRONMENT

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

(2020) Xi Chen et al.   CATENA

Spatial prediction of landslide susceptibility by combining evidential belief function, logistic regression and logistic model tree

(2019) Wei Chen et al.   Geocarto International

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

Application of a GIS-based slope unit method for landslide susceptibility mapping along the rapidly uplifting section of the upper Jinsha River, South-Western China

(2019) Xiaohui Sun et al.   Bulletin of Engineering Geology and the Environment

The human cost of global warming: Deadly landslides and their triggers (1995–2014)

(2019) Ubydul Haque et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Landslide spatial modelling using unsupervised factor optimisation and regularised greedy forests

(2019) Maher Ibrahim Sameen et al.   COMPUTERS & GEOSCIENCES

The added value of a regional landslide susceptibility assessment: The western branch of the East African Rift

(2019) Arthur Depicker et al.   GEOMORPHOLOGY

A Novel Ensemble Approach for Landslide Susceptibility Mapping (LSM) in Darjeeling and Kalimpong Districts, West Bengal, India

(2019) Jagabandhu Roy et al.   Remote Sensing

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

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

A novel ensemble approach of bivariate statistical-based logistic model tree classifier for landslide susceptibility assessment

(2018) Wei Chen et al.   Geocarto International

Automatic calculation of rainfall thresholds for landslide occurrence in Chukha Dzongkhag, Bhutan

(2018) Stefano Luigi Gariano et al.   Bulletin of Engineering Geology and the Environment

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

(2018) Binh Thai Pham et al.   Geocarto International

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

(2018) Binh Thai Pham et al.   CATENA

Shallow landslide susceptibility assessment using a novel hybrid intelligence approach

(2017) Ataollah Shirzadi et al.   Environmental Earth Sciences

Decision Making with Uncertainty Using Hesitant Fuzzy Sets

(2017) Shahzad Faizi et al.   International Journal of Fuzzy Systems

Performance assessment of individual and ensemble data-mining techniques for gully erosion modeling

(2017) Hamid Reza Pourghasemi et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Evaluation and comparison of LogitBoost Ensemble, Fisher’s Linear Discriminant Analysis, logistic regression and support vector machines methods for landslide susceptibility mapping

(2017) Binh Thai Pham et al.   Geocarto International

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

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

Spatial prediction of flood susceptibility using random-forest and boosted-tree models in Seoul metropolitan city, Korea

(2017) Sunmin Lee et al.   Geomatics Natural Hazards & Risk

GIS-based landslide susceptibility modelling: a comparative assessment of kernel logistic regression, Naïve-Bayes tree, and alternating decision tree models

(2017) Wei Chen et al.   Geomatics Natural Hazards & Risk

Landslide susceptibility mapping using analytical hierarchy process (AHP) in Tehri reservoir rim region, Uttarakhand

(2016) Rohan Kumar et al.   JOURNAL OF THE GEOLOGICAL SOCIETY OF INDIA

Landslide susceptibility mapping using random forest, boosted regression tree, classification and regression tree, and general linear models and comparison of their performance at Wadi Tayyah Basin, Asir Region, Saudi Arabia

(2015) Ahmed Mohamed Youssef et al.   Landslides

Generation of a national landslide hazard and risk map for the country of Georgia

(2015) George Gaprindashvili et al.   NATURAL HAZARDS

Morphometry and land cover based multi-criteria analysis for assessing the soil erosion susceptibility of the western Himalayan watershed

(2014) Sadaff Altaf et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT

The use of generalized linear models and generalized estimating equations in bioarchaeological studies

(2013) Efthymia Nikita   AMERICAN JOURNAL OF PHYSICAL ANTHROPOLOGY

Weathering and mineralogical variation in gneissic rocks and their effect in Sangrumba Landslide, East Nepal

(2013) Amar Deep Regmi et al.   Environmental Earth Sciences

Landslide inventory maps: New tools for an old problem

(2012) Fausto Guzzetti et al.   EARTH-SCIENCE REVIEWS

Application of fuzzy logic and analytical hierarchy process (AHP) to landslide susceptibility mapping at Haraz watershed, Iran

(2012) Hamid Reza Pourghasemi et al.   NATURAL HAZARDS

Application of frequency ratio and likelihood ratio model for geo-spatial modelling of landslide hazard vulnerability assessment and zonation: a case study from the Sikkim Himalayas in India

(2012) L.P. Sharma et al.   Geocarto International

Prediction of landslides using ASTER imagery and data mining models

(2011) Kyo-Young Song et al.   ADVANCES IN SPACE RESEARCH

GIS-based rare events logistic regression for landslide-susceptibility mapping of Lianyungang, China

(2010) Shibiao Bai et al.   Environmental Earth Sciences

Parameterizing a physically based shallow landslide model in a data poor region

(2009) Sekhar L. Kuriakose et al.   EARTH SURFACE PROCESSES AND LANDFORMS

Knowledge-Based Landslide Susceptibility Zonation System

(2009) Jayanta Kumar Ghosh et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

Logistic regression versus artificial neural networks: landslide susceptibility evaluation in a sample area of the Serchio River valley, Italy

(2009) F. Falaschi et al.   NATURAL HAZARDS