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Laser Scanning Applications in Landslide Assessment

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Cover of 'Laser Scanning Applications in Landslide Assessment'

Table of Contents

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    Book Overview
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    Chapter 1 Laser Scanning Systems in Landslide Studies
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    Chapter 2 A Supervised Object-Based Detection of Landslides and Man-Made Slopes Using Airborne Laser Scanning Data
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    Chapter 3 Optimized Rule Sets for Automatic Landslide Characteristic Detection in a Highly Vegetated Forests
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    Chapter 4 Integration of LiDAR and QuickBird Data for Automatic Landslide Detection Using Object-Based Analysis and Random Forests
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    Chapter 5 Debris Flow Source Identification in Tropical Dense Forest Using Airborne Laser Scanning Data and Flow-R Model
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    Chapter 6 Landslide Susceptibility Modeling: Optimization and Factor Effect Analysis
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    Chapter 7 Effects of the Spatial Resolution of Digital Elevation Models and Their Products on Landslide Susceptibility Mapping
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    Chapter 8 Spatial Prediction of Landslide-Prone Areas Through k -Nearest Neighbor Algorithm and Logistic Regression Model Using High Resolution Airborne Laser Scanning Data
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    Chapter 9 Spatial Prediction of Landslides Along Jalan Kota in Bandar Seri Begawan (Brunei) Using Airborne LiDAR Data and Support Vector Machine
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    Chapter 10 Ensemble Disagreement Active Learning for Spatial Prediction of Shallow Landslide
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    Chapter 11 Performance Evaluation and Sensitivity Analysis of Expert-Based, Statistical, Machine Learning, and Hybrid Models for Producing Landslide Susceptibility Maps
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    Chapter 12 Slope Vulnerability and Risk Assessment Using High-Resolution Airborne Laser Scanning Data
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    Chapter 13 Landslide Risk Assessment Using Multi-hazard Scenario Produced by Logistic Regression and LiDAR-Based DEM
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    Chapter 14 Debris Flow Susceptibility Assessment Using Airborne Laser Scanning Data
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    Chapter 15 Rockfall Hazard Assessment: An Overview
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    Chapter 16 Application of LiDAR in Rockfall Hazard Assessment in Tropical Region
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Readers on

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76 Mendeley
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Title
Laser Scanning Applications in Landslide Assessment
Published by
Springer, May 2017
DOI 10.1007/978-3-319-55342-9
ISBNs
978-3-31-955342-9, 978-3-31-955341-2
Editors

Pradhan, Biswajeet

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 76 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 24%
Student > Master 10 13%
Researcher 9 12%
Student > Doctoral Student 5 7%
Student > Bachelor 3 4%
Other 9 12%
Unknown 22 29%
Readers by discipline Count As %
Engineering 20 26%
Earth and Planetary Sciences 14 18%
Environmental Science 10 13%
Agricultural and Biological Sciences 4 5%
Arts and Humanities 1 1%
Other 2 3%
Unknown 25 33%