Comparison of Machine Learning Methods for Potential Active Landslide Hazards Identification with Multi-Source Data

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

(2020) Bahareh Kalantar et al.   Remote Sensing

Improving Spatial Agreement in Machine Learning-Based Landslide Susceptibility Mapping

(2020) Mohammed Sarfaraz Gani Adnan et al.   Remote Sensing

GIS-based evaluation of landslide susceptibility using hybrid computational intelligence models

(2020) Wei Chen et al.   CATENA

Assessment of Landslide Susceptibility Using Statistical- and Artificial Intelligence-based FR–RF Integrated Model and Multiresolution DEMs

(2019) Arabameri et al.   Remote Sensing

Using citizen science to expand the global map of landslides: Introducing the Cooperative Open Online Landslide Repository (COOLR)

(2019) Caroline S. Juang et al.   PLoS One

Landslide Detection Using Multi-Scale Image Segmentation and Different Machine Learning Models in the Higher Himalayas

(2019) Sepideh Tavakkoli Piralilou et al.   Remote Sensing

Characterization of the Kinematics of Three Bears Landslide in Northern California Using L-band InSAR Observations

(2019) Yuanyuan Liu et al.   Remote Sensing

Landslide Susceptibility Mapping Using GIS-Based Data Mining Algorithms

(2019) Vali Vakhshoori et al.   Water

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

(2019) Yacine Achour et al.   Geoscience Frontiers

A hybrid machine learning ensemble approach based on a Radial Basis Function neural network and Rotation Forest for landslide susceptibility modeling: A case study in the Himalayan area, India

(2018) Binh Thai Pham et al.   International Journal of Sediment Research

Landslide susceptibility modelling using GIS-based machine learning techniques for Chongren County, Jiangxi Province, China

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

Landslide Identification and Monitoring along the Jinsha River Catchment (Wudongde Reservoir Area), China, Using the InSAR Method

(2018) Chaoying Zhao et al.   Remote Sensing

Remote Sensing of Landslides—A Review

(2018) Chaoying Zhao et al.   Remote Sensing

Application of Ensemble-Based Machine Learning Models to Landslide Susceptibility Mapping

(2018) Prima Kadavi et al.   Remote Sensing

Landslide Detection and Susceptibility Mapping by AIRSAR Data Using Support Vector Machine and Index of Entropy Models in Cameron Highlands, Malaysia

(2018) Dieu Tien Bui et al.   Remote Sensing

Landslide Susceptibility Mapping and Comparison Using Decision Tree Models: A Case Study of Jumunjin Area, Korea

(2018) Sung-Jae Park et al.   Remote Sensing

A heuristic approach to global landslide susceptibility mapping

(2017) Thomas Stanley et al.   NATURAL HAZARDS

Assessment of the effects of training data selection on the landslide susceptibility mapping: a comparison between support vector machine (SVM), logistic regression (LR) and artificial neural networks (ANN)

(2017) Bahareh Kalantar et al.   Geomatics Natural Hazards & Risk

Evaluation of Remote-Sensing-Based Landslide Inventories for Hazard Assessment in Southern Kyrgyzstan

(2017) Darya Golovko et al.   Remote Sensing

Evaluating machine learning and statistical prediction techniques for landslide susceptibility modeling

(2015) J.N. Goetz et al.   COMPUTERS & GEOSCIENCES

Spatial and temporal analysis of a global landslide catalog

(2015) Dalia Kirschbaum et al.   GEOMORPHOLOGY

Modeling landslide susceptibility over large regions with fuzzy overlay

(2015) Dalia Kirschbaum et al.   Landslides

Large-Area Landslides Monitoring Using Advanced Multi-Temporal InSAR Technique over the Giant Panda Habitat, Sichuan, China

(2015) Panpan Tang et al.   Remote Sensing

Remote Sensing for Landslide Investigations: An Overview of Recent Achievements and Perspectives

(2014) Marco Scaioni et al.   Remote Sensing

Interpretation of Aerial Photographs and Satellite SAR Interferometry for the Inventory of Landslides

(2013) Tazio Strozzi et al.   Remote Sensing

Remote sensing and modeling of landslides: detection, monitoring and risk evaluation

(2012) Dalia Bach Kirschbaum et al.   Environmental Earth Sciences

Landslide Catastrophes and Disaster Risk Reduction: A GIS Framework for Landslide Prevention and Management

(2010) Hamid Assilzadeh et al.   Remote Sensing