A Novel Intelligent Method Based on the Gaussian Heatmap Sampling Technique and Convolutional Neural Network for Landslide Susceptibility Mapping

SDGH-Net: Ship Detection in Optical Remote Sensing Images Based on Gaussian Heatmap Regression

(2021) Zhenqing Wang et al.   Remote Sensing

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

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

Mapping Post-Earthquake Landslide Susceptibility: A U-Net Like Approach

(2020) Yu Chen et al.   Remote Sensing

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

(2020) Yaning Yi et al.   CATENA

Ensemble machine learning models based on Reduced Error Pruning Tree for prediction of rainfall-induced landslides

(2020) Binh Thai Pham et al.   International Journal of Digital Earth

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

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

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

(2019) Omid Ghorbanzadeh et al.   Remote Sensing

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

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

Assessment of debris-flow potential dangers in the Jiuzhaigou Valley following the August 8, 2017, Jiuzhaigou earthquake, western China

(2019) Xudong Hu et al.   ENGINEERING GEOLOGY

Evaluating scale effects of topographic variables in landslide susceptibility models using GIS-based machine learning techniques

(2019) Kuan-Tsung Chang et al.   Scientific Reports

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

(2019) Maher Ibrahim Sameen et al.   CATENA

Machine learning and fractal theory models for landslide susceptibility mapping: Case study from the Jinsha River Basin

(2019) Qiao Hu et al.   GEOMORPHOLOGY

GIS-based landslide susceptibility evaluation using a novel hybrid integration approach of bivariate statistical based random forest method

(2018) Wei Chen et al.   CATENA

A review of statistically-based landslide susceptibility models

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

Coseismic landslides triggered by the 8th August 2017 Ms 7.0 Jiuzhaigou earthquake (Sichuan, China): factors controlling their spatial distribution and implications for the seismogenic blind fault identification

(2018) Xuanmei Fan et al.   Landslides

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

Shallow landslide susceptibility assessment using a novel hybrid intelligence approach

(2017) Ataollah Shirzadi et al.   Environmental Earth Sciences

Semantic labeling in very high resolution images via a self-cascaded convolutional neural network

(2017) Yongcheng Liu et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Spatial prediction of rotational landslide using geographically weighted regression, logistic regression, and support vector machine models in Xing Guo area (China)

(2017) Haoyuan Hong 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

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

Discrete rough set analysis of two different soil-behavior-induced landslides in National Shei-Pa Park, Taiwan

(2015) Shih-Hsun Chang et al.   Geoscience Frontiers

Optimization of Causative Factors for Landslide Susceptibility Evaluation Using Remote Sensing and GIS Data in Parts of Niigata, Japan

(2015) Jie Dou et al.   PLoS One

Landslide susceptibility mapping based on rough set theory and support vector machines: A case of the Three Gorges area, China

(2013) Ling Peng et al.   GEOMORPHOLOGY

Landslide susceptibility mapping using support vector machine and GIS at the Golestan Province, Iran

(2013) HAMID REZA POURGHASEMI et al.   Journal of Earth System Science

Landslide inventory maps: New tools for an old problem

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

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

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