This book is a part of ICL new book series ICL Contribution to Landslide Disaster Risk Reduction founded in 2019. Peer-reviewed papers submitted to the Fifth World Landslide Forum were published in six volumes of this book series. This book contains the followings:
Keynotes
Landslide detection, recognition and mapping
Landslide susceptibility assessment and modelling
Landslide size statistics and temporal modelling
Data and information for landslide disaster mitigation
Vulnerability to landslides of people, communities and the built environment
Dr. Fausto Guzzetti is General Director of Office III Technical and Scientific Activities for Risk Forecasting and Prevention, Department of Civil Protection, Italian Presidency of the Council of Ministers, on leave from the Italian National Research Council.
Prof. Snjeana Mihali Arbanas is a Full Professor of the Faculty of Mining, Geology and Petroleum Engineering of theUniversity of Zagreb, Croatia. She is the Chair of ICL Network Committee.
Paola Reichenbach is a Senior Researcher of the Research Institute for Geo-Hydrological Protection, an institute of the Italian National Research Council (IRPI-CNR), Perugia, Italy.
Prof. Kyoji Sassa is the Founding President and the Secretary-General of the International Consortium on Landslides (ICL). He has been the Editor-in-Chief of International Journal Landslides since its foundation in 2004.
Prof. Peter Bobrowsky is the President of the International Consortium on Landslides. He is a Senior Scientist of Geological Survey of Canada, Ottawa, Canada.
Prof. Kaoru Takara is the Executive Director of the International Consortium on Landslides. He is a Professor and Dean of Graduate School of Advanced Integrated Studies (GSAIS) in Human Survivability (Shishu-Kan), Kyoto University.
Kyenotes: Landslide Recognition and Mapping for Slope Disaster Risk
Reduction and Management - Keynote Speech.- Landslide susceptibility mapping
by interpretation of aerial photographs, AHP and precise DEM.- Landslide
recognition and mapping: New landslide inventory map of the Sudetes Mountains
(south-western Poland).- Gullies as landforms for landslide initiation
examples from the Dubraina River Basin (Croatia).- Opportunities and
challenges of the object-oriented automatic landslide detection from the high
resolution Digital Elevation Model.- Can Repeat LiDAR Surveys Locate Future
Massive Landslides?.- Semi-automatic Landslide Inventory Mapping with
Multiresolution Segmentation Process: A Case Study from Ulus District
(Bartin, NW Turkey).- Landslide mapping based on UAV and SfM Case study of
the 2018 Prnjavor untiki landslide, Croatia.- Developing recognition and
simple mapping by UAV/SfM for local resident in mountainous area in Vietnam
A case study in Po Xi Ngai Community, Laocai province.- Landslide activity
classification based on Sentinel-1 satellite radar interferometry data.-
Updating Landslide Activity State and Intensity by Means of Persistent
Scatterer Interferometry.- Damming predisposition of river networks: a
mapping methodology.- Landslides along Halong-Vandon Expressway in Quang Ninh
province, Vietnam.- Landslide hazard assessment and zonation
susceptibility modelling: New data on geological conditions of landslide
activity on Vorobyovy Gory (Moscow, Russia).- Impact of agricultural
management in vineyards to landslides susceptibility in Italian Apennines.-
Landslide susceptibility in two secondary rivers of La Ciénega watershed,
Nevado de Toluca volcano, Mexico.- An Ordinal Scale Weighting Approach for
Susceptibility Mapping Around Tehri Dam, Uttarakhand, India.- Potential
Analysis of Deep-seated Landslides Caused by Typhoon Morakot Using Slope
Unit.- Landslide susceptibility assessment using binary logistic regression
in northern PhilippinesLandslide Hazard Mapping of Penang Island Malaysia
based on Multilayer Perceptron Approach.- Landslide Susceptibility Mapping
Based on the Deep Belief Network: A Case Study in Sichuan Province, China.- A
Comparative study of deep learning and conventional neural network
forevaluating landslide susceptibility using landslide initiation zones.-
Landslide susceptibility assessment by ensemble-based Machine Learning
models.- Application of Machine Learning Algorithms and Their Ensemble for
Landslide Susceptibility Mapping.- Overcoming data scarcity related issues
for landslide susceptibility modeling with machine learning.- Practical
accounting of uncertainties in data-driven landslide susceptibility models.
Examples from the Lanzhou case study.- Assessment of shallow landslides
susceptibility using SHALSTAB and SINMAP at Serra do Mar, Brazil.- Regional
slope stability analysis in landslide hazard assessment context, North
Macedonia example.- Applying the Newmarkmodel in the assessment of earthquake
triggered landslides during the 2017 Ms 7.0 Jiuzhaigou earthquake,
China.- Evaluation of secondary landslide susceptibility for the rescue
activity using LiDAR UAV data.- Methodology for landslides assessment causing
river channel obstructions and the consequent water shortage in rural
communities.- Landslide hazard assessment and zonation temporal and size
modelling: Landslide Size Distribution Characteristics of Cretaceous and
Eocene Flysch Assemblages in the Western Black Sea Region of Turkey.- A
statistical exploratory analysis of inventoried slide-type movements for
South Tyrol (Italy).- Assessing landslide volume for landform hazard zoning
purposes.- Empirical relationships to estimate the probability of runout
exceedance for various landslide types.- Rapid sensitivity analysis for
reducing uncertainty in landslide hazard assessment.- Applying debris flow
simulation for detailed hazard and risk mapping.- Debris-Flow Peak Discharge
Calculation Model Based on Erosion Zoning.- Assessment of rainfall-induced
landslides in Tomioka city, Gunma Prefecture, Japan (Oct 2019) based on a
simple prediction model and assumption parameters.- Rainfall-induced lahar
occurrences shortly after eruptions and its initiation processes in Japan.-
Spatiotemporal Assessment of Geological Hazard Safety along Railway
Engineering using a Novel Method: A Case Study of the Sichuan-Tibet Railway,
China.- Slope Stability and Landslide Hazard in Volubilis Archaeological Site
(Morocco).- Landslide data and information for disaster mitigation: Slope
Hazard and Risk Mapping Project (PBRC) An Overview of Disaster Risk
Reduction Initiative.- Risk-informed Land Use Planning for Landslide Disaster
Risk Reduction.- Landslides in steep-slope agricultural landscapes.- From
satellite images to field survey: a complete scheme of lanslide InSAR
monitoring.- Slope disaster risk reduction map as a communication tool for
community based DRR in Japan & Vietnam.- Landslide vulnerability of people,
communities and the built environment: People vulnerability to landslide:
risky behaviours and dangerous conditions by gender and age.- Using
mixed-methods to understand community vulnerability to debris flows in
Montecito, CA.- Innovation in analysis and forecasting of vulnerability to
slow-moving landslides.- Sentinel-1 PSI data for the evaluation of landslide
geohazard and impact.- On the use of UAVs for landslide exposure of
households: La Gloria neighbourhood, Teziutlán, Puebla.- Ordinal Logistic
Regression to automatic classify shallow landslide risk level in Sao Paulo
city, Brazil.- Site-specific risk assessment of buildings exposed to rock
fall in India- A case study.- Cutting-edge technologies aiming for better
outcomes of landslide disaster mitigation.
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