Loess Landslide Detection Using Object Detection Algorithms in Northwest China

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

(2020) Shunping Ji et al.   Landslides

Mapping Landslides on EO Data: Performance of Deep Learning Models vs. Traditional Machine Learning Models

(2020) Nikhil Prakash et al.   Remote Sensing

Application of deep learning in ecological resource research: Theories, methods, and challenges

(2020) Qinghua Guo et al.   Science China-Earth Sciences

Landslide identification using machine learning

(2020) Haojie Wang et al.   Geoscience Frontiers

Multitemporal UAV-based photogrammetry for landslide detection and monitoring in a large area: a case study in the Heifangtai terrace in the Loess Plateau of China

(2020) Qiang Xu et al.   Journal of Mountain Science

Automatic Mapping of Landslides by the ResU-Net

(2020) Wenwen Qi et al.   Remote Sensing

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

(2019) Omid Ghorbanzadeh et al.   Remote Sensing

Surface displacements of the Heifangtai terrace in Northwest China measured by X and C-band InSAR observations

(2019) Xuguo Shi et al.   ENGINEERING GEOLOGY

UAV-Based Slope Failure Detection Using Deep-Learning Convolutional Neural Networks

(2019) Omid Ghorbanzadeh et al.   Remote Sensing

Landslide detection based on contour-based deep learning framework in case of national scale of Nepal in 2015

(2019) Bo Yu et al.   COMPUTERS & GEOSCIENCES

An improved algorithm for identifying shallow and deep-seated landslides in dense tropical forest from airborne laser scanning data

(2018) Mustafa Ridha Mezaal et al.   CATENA

Distribution and genetic types of loess landslides in China

(2018) Jianbing Peng et al.   JOURNAL OF ASIAN EARTH SCIENCES

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

(2017) Shaoqing Ren et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Loess Landslide Inventory Map Based on GF-1 Satellite Imagery

(2017) Wenyi Sun et al.   Remote Sensing

Earthquake-triggered landslides by the 1718 Tongwei earthquake in Gansu Province, northwest China

(2016) Ping Sun et al.   Bulletin of Engineering Geology and the Environment

Contour Connection Method for automated identification and classification of landslide deposits

(2015) Ben A. Leshchinsky et al.   COMPUTERS & GEOSCIENCES

Landslide detection and susceptibility mapping using LiDAR and an artificial neural network approach: a case study in the Cuyahoga Valley National Park, Ohio

(2015) Pece V. Gorsevski et al.   Landslides

Forested landslide detection using LiDAR data and the random forest algorithm: A case study of the Three Gorges, China

(2014) Weitao Chen et al.   REMOTE SENSING OF ENVIRONMENT

Object-oriented identification of forested landslides with derivatives of single pulse LiDAR data

(2012) Miet Van Den Eeckhaut et al.   GEOMORPHOLOGY

Object-oriented mapping of landslides using Random Forests

(2011) André Stumpf et al.   REMOTE SENSING OF ENVIRONMENT

Analysis of the geo-hazards triggered by the 12 May 2008 Wenchuan Earthquake, China

(2009) R. Q. Huang et al.   Bulletin of Engineering Geology and the Environment

Characterising spectral, spatial and morphometric properties of landslides for semi-automatic detection using object-oriented methods

(2009) Tapas R. Martha et al.   GEOMORPHOLOGY