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

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

Automatic Building Footprint Extraction from Multi-Resolution Remote Sensing Images Using a Hybrid FCN

(2019) Philipp Schuegraf et al.   ISPRS International Journal of Geo-Information

End-to-End Change Detection for High Resolution Satellite Images Using Improved UNet++

(2019) Daifeng Peng et al.   Remote Sensing

Landslide mapping from multi-sensor data through improved change detection-based Markov random field

(2019) Ping Lu et al.   REMOTE SENSING OF ENVIRONMENT

Review on landslide susceptibility mapping using support vector machines

(2018) Yu Huang et al.   CATENA

A review of statistically-based landslide susceptibility models

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

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

(2018) Kevin Roback et al.   GEOMORPHOLOGY

A comparative analysis of pixel- and object-based detection of landslides from very high-resolution images

(2018) Ren N. Keyport et al.   International Journal of Applied Earth Observation and Geoinformation

How far are we from the use of satellite rainfall products in landslide forecasting?

(2018) M.T. Brunetti et al.   REMOTE SENSING OF ENVIRONMENT

Automated Landslides Detection for Mountain Cities Using Multi-Temporal Remote Sensing Imagery

(2018) et al.   SENSORS

Topography-driven satellite imagery analysis for landslide mapping

(2018) M. Alvioli et al.   Geomatics Natural Hazards & Risk

Quantitative Assessment of Digital Image Correlation Methods to Detect and Monitor Surface Displacements of Large Slope Instabilities

(2018) Valentin Bickel et al.   Remote Sensing

Application of Machine Learning to Classification of Volcanic Deformation in Routinely Generated InSAR Data

(2018) N. Anantrasirichai et al.   JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH

A global slope unit-based method for the near real-time prediction of earthquake-induced landslides

(2018) Hakan Tanyas et al.   GEOMORPHOLOGY

A multidisciplinary approach for the investigation of a rock spreading on an urban slope

(2017) R. Tomás et al.   Landslides

Correlation of satellite image time-series for the detection and monitoring of slow-moving landslides

(2017) André Stumpf et al.   REMOTE SENSING OF ENVIRONMENT

Performance-based, seismically-induced landslide hazard mapping of Western Oregon

(2017) Mahyar Sharifi-Mood et al.   SOIL DYNAMICS AND EARTHQUAKE ENGINEERING

Ten quick tips for machine learning in computational biology

(2017) Davide Chicco   BioData Mining

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

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

Combined use of statistical and DInSAR data analyses to define the state of activity of slow-moving landslides

(2016) Michele Calvello et al.   Landslides

Influencing factor analysis and displacement prediction in reservoir landslides − a case study of Three Gorges Reservoir (China)

(2016)   Tehnicki Vjesnik-Technical Gazette

Deep Learning for Remote Sensing Data: A Technical Tutorial on the State of the Art

(2016) Liangpei Zhang et al.   IEEE Geoscience and Remote Sensing Magazine

Contour Connection Method for automated identification and classification of landslide deposits

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

A critical review of rock slope failure mechanisms: The importance of structural geology

(2015) Doug Stead et al.   JOURNAL OF STRUCTURAL GEOLOGY

Producing a landslide inventory map using pixel-based and object-oriented approaches optimized by Taguchi method

(2013) Vahid Moosavi et al.   GEOMORPHOLOGY

Geographic Object-Based Image Analysis – Towards a new paradigm

(2013) Thomas Blaschke et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Machine Learning Feature Selection Methods for Landslide Susceptibility Mapping

(2013) Natan Micheletti et al.   Mathematical Geosciences

Deep seated gravitational slope deformations in the European Alps

(2013) G.B. Crosta et al.   TECTONOPHYSICS

Landslide inventory maps: New tools for an old problem

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

Landslide zoning over large areas from a sample inventory by means of scale-dependent terrain units

(2012) Michele Calvello et al.   GEOMORPHOLOGY

Segment Optimization and Data-Driven Thresholding for Knowledge-Based Landslide Detection by Object-Based Image Analysis

(2011) T. R. Martha et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Semi-automatic recognition and mapping of rainfall induced shallow landslides using optical satellite images

(2011) A.C. Mondini et al.   REMOTE SENSING OF ENVIRONMENT

Object-oriented mapping of landslides using Random Forests

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

Use of LIDAR in landslide investigations: a review

(2010) Michel Jaboyedoff et al.   NATURAL HAZARDS

Learning from Imbalanced Data

(2009) Haibo He et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Spatial data for landslide susceptibility, hazard, and vulnerability assessment: An overview

(2008) Cees J. van Westen et al.   ENGINEERING GEOLOGY

The classification, recording, databasing and use of information about building damage caused by subsidence and landslides

(2008) A.H. Cooper   QUARTERLY JOURNAL OF ENGINEERING GEOLOGY AND HYDROGEOLOGY