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

The size, distribution, and mobility of landslides caused by the 2015 M w 7.8 Gorkha earthquake, Nepal

(2018) Kevin Roback et al.   GEOMORPHOLOGY

Object-based random forest classification of Landsat ETM+ and WorldView-2 satellite imagery for mapping lowland native grassland communities in Tasmania, Australia

(2018) Bethany Melville et al.   International Journal of Applied Earth Observation and Geoinformation

An object-based convolutional neural network (OCNN) for urban land use classification

(2018) Ce Zhang et al.   REMOTE SENSING OF ENVIRONMENT

Improving Landslide Detection from Airborne Laser Scanning Data Using Optimized Dempster–Shafer

(2018) Mustafa Mezaal et al.   Remote Sensing

Very Deep Convolutional Neural Networks for Complex Land Cover Mapping Using Multispectral Remote Sensing Imagery

(2018) Masoud Mahdianpari et al.   Remote Sensing

A new GIS-based technique using an adaptive neuro-fuzzy inference system for land subsidence susceptibility mapping

(2018) Omid Ghorbanzadeh et al.   Journal of Spatial Science

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

A Modified Change Vector Approach for Quantifying Land Cover Change

(2018) Ru Xu et al.   Remote Sensing

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

(2018) Hamid Pourghasemi et al.   Sustainability

A novel algorithm for calculating transition potential in cellular automata models of land-use/cover change

(2018) Majid Shadman Roodposhti et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Convolutional Neural Networks for Large-Scale Remote-Sensing Image Classification

(2017) Emmanuel Maggiori et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Scene classification for aerial images based on CNN using sparse coding technique

(2017) Abdul Qayyum et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Object-Oriented Landslide Mapping Using ZY-3 Satellite Imagery, Random Forest and Mathematical Morphology, for the Three-Gorges Reservoir, China

(2017) Tao Chen et al.   Remote Sensing

Optimized Neural Architecture for Automatic Landslide Detection from High‐Resolution Airborne Laser Scanning Data

(2017) Mustafa Ridha Mezaal et al.   Applied Sciences-Basel

Deep Learning in Remote Sensing: A Comprehensive Review and List of Resources

(2017) Xiao Xiang Zhu et al.   IEEE Geoscience and Remote Sensing Magazine

Landslide susceptibility mapping using an ensemble statistical index (Wi) and adaptive neuro-fuzzy inference system (ANFIS) model at Alborz Mountains (Iran)

(2016) Iman Nasiri Aghdam et al.   Environmental Earth Sciences

Random forests and evidential belief function-based landslide susceptibility assessment in Western Mazandaran Province, Iran

(2016) Hamid Reza Pourghasemi et al.   Environmental Earth Sciences

Landslide susceptibility assessment of the region affected by the 25 April 2015 Gorkha earthquake of Nepal

(2016) Amar Deep Regmi et al.   Journal of Mountain Science

Fire Risk Assessment Using Neural Network and Logistic Regression

(2016) Y. Jafari Goldarag et al.   Journal of the Indian Society of Remote Sensing

Rainfall-induced landslide susceptibility assessment at the Chongren area (China) using frequency ratio, certainty factor, and index of entropy

(2016) Haoyuan Hong et al.   Geocarto International

Landslide Mapping in Vegetated Areas Using Change Detection Based on Optical and Polarimetric SAR Data

(2016) Simon Plank et al.   Remote Sensing

Classification and Segmentation of Satellite Orthoimagery Using Convolutional Neural Networks

(2016) Martin Längkvist et al.   Remote Sensing

Spatial prediction models for shallow landslide hazards: a comparative assessment of the efficacy of support vector machines, artificial neural networks, kernel logistic regression, and logistic model tree

(2015) Dieu Tien Bui et al.   Landslides

Landslide susceptibility mapping based on landslide history and analytic hierarchy process (AHP)

(2015) Dimitrios Myronidis et al.   NATURAL HAZARDS

Automatic Case-Based Reasoning Approach for Landslide Detection: Integration of Object-Oriented Image Analysis and a Genetic Algorithm

(2015) Jie Dou et al.   Remote Sensing

A GIS-based extended fuzzy multi-criteria evaluation for landslide susceptibility mapping

(2014) Bakhtiar Feizizadeh et al.   COMPUTERS & GEOSCIENCES

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

Landslide inventory maps: New tools for an old problem

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

Landslide susceptibility mapping using frequency ratio, analytic hierarchy process, logistic regression, and artificial neural network methods at the Inje area, Korea

(2012) Soyoung Park et al.   Environmental Earth Sciences

A Semi-Automated Object-Based Approach for Landslide Detection Validated by Persistent Scatterer Interferometry Measures and Landslide Inventories

(2012) Daniel Hölbling et al.   Remote Sensing

A comparison of pixel-based and object-based image analysis with selected machine learning algorithms for the classification of agricultural landscapes using SPOT-5 HRG imagery

(2011) Dennis C. Duro et al.   REMOTE SENSING OF ENVIRONMENT

Manifestation of an adaptive neuro-fuzzy model on landslide susceptibility mapping: Klang valley, Malaysia

(2010) Ebru Akcapinar Sezer et al.   EXPERT SYSTEMS WITH APPLICATIONS

Object based image analysis for remote sensing

(2009) T. Blaschke   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING