Landslide detection from an open satellite imagery and digital elevation model dataset using attention boosted convolutional neural networks

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

(2019) Omid Ghorbanzadeh et al.   Remote Sensing

Improved landslide assessment using support vector machine with bagging, boosting, and stacking ensemble machine learning framework in a mountainous watershed, Japan

(2019) Jie Dou et al.   Landslides

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

(2018) Liang-Chieh Chen et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

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

(2017) A. Rosi et al.   Landslides

Slope deformation prior to Zhouqu, China landslide from InSAR time series analysis

(2015) Q. Sun et al.   REMOTE SENSING OF ENVIRONMENT

Semiautomatic Object-Oriented Landslide Recognition Scheme From Multisensor Optical Imagery and DEM

(2013) Jiann-Yeou Rau et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Application of an evidential belief function model in landslide susceptibility mapping

(2012) Omar F. Althuwaynee et al.   COMPUTERS & GEOSCIENCES

Application of the analytical hierarchy process (AHP) for landslide susceptibility mapping: A case study from the Tinau watershed, west Nepal

(2012) P. Kayastha et al.   COMPUTERS & GEOSCIENCES

Landslide susceptibility assessment using SVM machine learning algorithm

(2011) Miloš Marjanović et al.   ENGINEERING GEOLOGY