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<div>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 Dubračina 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 Čuntićki 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,&nbsp; 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 Philippines</div><div>Landslide 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.-&nbsp;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.-&nbsp; &nbsp;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.-&nbsp;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.</div>

<p>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:</p><p>• Keynotes</p><p>• Landslide detection, recognition and mapping</p><p>• Landslide susceptibility assessment and modelling</p><p>• Landslide size statistics and temporal modelling</p><p>• Data and information for landslide disaster mitigation</p><p>• Vulnerability to landslides of people, communities and the built environment</p><p>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.<br></p><p>Prof. Snježana Mihalić 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.<br></p><p>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.<br></p><p>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.<br></p><p>Prof. Peter Bobrowsky is the President of the International Consortium on Landslides. He is a Senior Scientist of Geological Survey of Canada, Ottawa, Canada.<br></p><p>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.</p>

Targeted at the global landslide community Presents the state-of-the-art in landslide hazard and vulnerability mapping and zonation Reports case studies and best practice for a better understanding and reduction of landslide disaster risk