Related references
Note: Only part of the references are listed.A global slope unit-based method for the near real-time prediction of earthquake-induced landslides
Hakan Tanyas et al.
GEOMORPHOLOGY (2019)
Comparison of convolutional neural networks for landslide susceptibility mapping in Yanshan County, China
Yi Wang et al.
SCIENCE OF THE TOTAL ENVIRONMENT (2019)
Automatic Building Footprint Extraction from Multi-Resolution Remote Sensing Images Using a Hybrid FCN
Philipp Schuegraf et al.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION (2019)
End-to-End Change Detection for High Resolution Satellite Images Using Improved UNet plus
Daifeng Peng et al.
REMOTE SENSING (2019)
Landslide mapping from multi-sensor data through improved change detection-based Markov random field
Ping Lu et al.
REMOTE SENSING OF ENVIRONMENT (2019)
Evaluation of Different Machine Learning Methods and Deep-Learning Convolutional Neural Networks for Landslide Detection
Omid Ghorbanzadeh et al.
REMOTE SENSING (2019)
Landslide Detection Using Residual Networks and the Fusion of Spectral and Topographic Information
Maher Ibrahim Sameen et al.
IEEE ACCESS (2019)
A multidisciplinary approach for the investigation of a rock spreading on an urban slope
R. Tomas et al.
LANDSLIDES (2018)
Review on landslide susceptibility mapping using support vector machines
Yu Huang et al.
CATENA (2018)
A review of statistically-based landslide susceptibility models
Paola Reichenbach et al.
EARTH-SCIENCE REVIEWS (2018)
The size, distribution, and mobility of landslides caused by the 2015 Mw7.8 Gorkha earthquake, Nepal
Kevin Roback et al.
GEOMORPHOLOGY (2018)
A comparative analysis of pixel- and object-based detection of landslides from very high-resolution images
Ren N. Keyport et al.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION (2018)
How far are we from the use of satellite rainfall products in landslide forecasting?
M. T. Brunetti et al.
REMOTE SENSING OF ENVIRONMENT (2018)
Automated Landslides Detection for Mountain Cities Using Multi-Temporal Remote Sensing Imagery
Zhong Chen et al.
SENSORS (2018)
Topography-driven satellite imagery analysis for landslide mapping
M. Alvioli et al.
GEOMATICS NATURAL HAZARDS & RISK (2018)
Quantitative Assessment of Digital Image Correlation Methods to Detect and Monitor Surface Displacements of Large Slope Instabilities
Valentin Tertius Bickel et al.
REMOTE SENSING (2018)
Application of Machine Learning to Classification of Volcanic Deformation in Routinely Generated InSAR Data
N. Anantrasirichai et al.
JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH (2018)
Social and environmental impacts of landslides
Alan Keith Turner
INNOVATIVE INFRASTRUCTURE SOLUTIONS (2018)
Focal Dice Loss and Image Dilation for Brain Tumor Segmentation
Pei Wang et al.
DEEP LEARNING IN MEDICAL IMAGE ANALYSIS AND MULTIMODAL LEARNING FOR CLINICAL DECISION SUPPORT, DLMIA 2018 (2018)
Global fatal landslide occurrence from 2004 to 2016
Melanie J. Froude et al.
NATURAL HAZARDS AND EARTH SYSTEM SCIENCES (2018)
Combined use of statistical and DInSAR data analyses to define the state of activity of slow-moving landslides
Michele Calvello et al.
LANDSLIDES (2017)
Correlation of satellite image time-series for the detection and monitoring of slow-moving landslides
Andre Stumpf et al.
REMOTE SENSING OF ENVIRONMENT (2017)
Performance-based, seismically-induced landslide hazard mapping of Western Oregon
Mahyar Sharifi-Mood et al.
SOIL DYNAMICS AND EARTHQUAKE ENGINEERING (2017)
Ten quick tips for machine learning in computational biology
Davide Chicco
BIODATA MINING (2017)
Deep Learning in Remote Sensing
Xiao Xiang Zhu et al.
IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE (2017)
INFLUENCING FACTOR ANALYSIS AND DISPLACEMENT PREDICTION IN RESERVOIR LANDSLIDES - A CASE STUDY OF THREE GORGES RESERVOIR (CHINA)
Faming Huang et al.
TEHNICKI VJESNIK-TECHNICAL GAZETTE (2016)
Deep Learning for Remote Sensing Data A technical tutorial on the state of the art
Liangpei Zhang et al.
IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE (2016)
Automatic delineation of geomorphological slope units with r.slopeunits v1.0 and their optimization for landslide susceptibility modeling
Massimiliano Alvioli et al.
GEOSCIENTIFIC MODEL DEVELOPMENT (2016)
Contour Connection Method for automated identification and classification of landslide deposits
Ben A. Leshchinsky et al.
COMPUTERS & GEOSCIENCES (2015)
A critical review of rock slope failure mechanisms: The importance of structural geology
Doug Stead et al.
JOURNAL OF STRUCTURAL GEOLOGY (2015)
Modelling Landslide Susceptibility for a Large Geographical Area Using Weights of Evidence in Lower Austria, Austria
Jason N. Goetz et al.
ENGINEERING GEOLOGY FOR SOCIETY AND TERRITORY, VOL 2: LANDSLIDE PROCESSES (2015)
System for Automated Geoscientific Analyses (SAGA) v. 2.1.4
O. Conrad et al.
GEOSCIENTIFIC MODEL DEVELOPMENT (2015)
Producing a landslide inventory map using pixel-based and object-oriented approaches optimized by Taguchi method
Vahid Moosavi et al.
GEOMORPHOLOGY (2014)
Geographic Object-Based Image Analysis - Towards a new paradigm
Thomas Blaschke et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2014)
Machine Learning Feature Selection Methods for Landslide Susceptibility Mapping
Natan Micheletti et al.
MATHEMATICAL GEOSCIENCES (2014)
Landslide zoning over large areas from a sample inventory by means of scale-dependent terrain units
Michele Calvello et al.
GEOMORPHOLOGY (2013)
Deep seated gravitational slope deformations in the European Alps
G. B. Crosta et al.
TECTONOPHYSICS (2013)
Landslide inventory maps: New tools for an old problem
Fausto Guzzetti et al.
EARTH-SCIENCE REVIEWS (2012)
Use of LIDAR in landslide investigations: a review
Michel Jaboyedoff et al.
NATURAL HAZARDS (2012)
Segment Optimization and Data-Driven Thresholding for Knowledge-Based Landslide Detection by Object-Based Image Analysis
Tapas Ranjan Martha et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2011)
Semi-automatic recognition and mapping of rainfall induced shallow landslides using optical satellite images
A. C. Mondini et al.
REMOTE SENSING OF ENVIRONMENT (2011)
Object-oriented mapping of landslides using Random Forests
Andre Stumpf et al.
REMOTE SENSING OF ENVIRONMENT (2011)
Learning from Imbalanced Data
Haibo He et al.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2009)
Spatial data for landslide susceptibility, hazard, and vulnerability assessment: An overview
Cees J. van Westen et al.
ENGINEERING GEOLOGY (2008)
The classification, recording, databasing and use of information about building damage caused by subsidence and landslides
A. H. Cooper
QUARTERLY JOURNAL OF ENGINEERING GEOLOGY AND HYDROGEOLOGY (2008)
Structural constraints on deep-seated slope deformation kinematics
F Agliardi et al.
ENGINEERING GEOLOGY (2001)