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دسته بندی: زمين شناسي ویرایش: نویسندگان: Fausto Guzzetti, Snjezana Mihalic Arbanas, Paola Reichenbach, Kyoji Sassa, Peter T. Bobrowsky, Kaoru Takara سری: ICL Contribution to Landslide Disaster Risk Reduction ISBN (شابک) : 3030602265, 9783030602260 ناشر: Springer سال نشر: 2021 تعداد صفحات: 493 زبان: English فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود) حجم فایل: 64 مگابایت
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در صورت تبدیل فایل کتاب Understanding and Reducing Landslide Disaster Risk, Volume 2: From Mapping to Hazard and Risk Zonation به فرمت های PDF، EPUB، AZW3، MOBI و یا DJVU می توانید به پشتیبان اطلاع دهید تا فایل مورد نظر را تبدیل نمایند.
توجه داشته باشید کتاب درک و کاهش خطر بلایای ناشی از رانش زمین ، جلد 2: از نقشه برداری تا خطر و منطقه بندی خطر نسخه زبان اصلی می باشد و کتاب ترجمه شده به فارسی نمی باشد. وبسایت اینترنشنال لایبرری ارائه دهنده کتاب های زبان اصلی می باشد و هیچ گونه کتاب ترجمه شده یا نوشته شده به فارسی را ارائه نمی دهد.
این کتاب بخشی از سری کتابهای جدید ICL «مشارکت ICL در کاهش خطر بلایای زمین لغزش» است که در سال 2019 تأسیس شد. مقالات بررسی شده ارسال شده به پنجمین مجمع جهانی زمین لغزش در شش جلد از این مجموعه کتاب منتشر شد. این کتاب شامل موارد زیر است: • نکات کلیدی • شناسایی، شناسایی و نقشه برداری زمین لغزش • ارزیابی و مدل سازی حساسیت زمین لغزش • آمار اندازه زمین لغزش و مدل سازی زمانی • داده ها و اطلاعات برای کاهش بلایای زمین لغزش • آسیب پذیری در برابر رانش زمین از مردم، جوامع و محیط ساخته شده Dr. فائوستو گوزتی مدیر کل دفتر III - فعالیتهای فنی و علمی برای پیشبینی و پیشگیری خطر، وزارت حفاظت مدنی، ریاست شورای وزیران ایتالیا، در مرخصی از شورای تحقیقات ملی ایتالیا است. پروفسور Snježana Mihalić Arbanas استاد کامل دانشکده معدن، زمین شناسی و مهندسی نفت دانشگاه زاگرب، کرواسی است. او رئیس کمیته شبکه ICL است. پائولا رایچنباخ، محقق ارشد موسسه تحقیقاتی حفاظت ژئو هیدرولوژیکی، موسسه شورای تحقیقات ملی ایتالیا (IRPI-CNR)، پروجا، ایتالیا است. پروفسور کیوجی ساسا رئیس موسس و دبیر کل کنسرسیوم بین المللی زمین لغزش (ICL) است. او سردبیر مجله بین المللی زمین لغزش از زمان تأسیس آن در سال 2004 بوده است. پروفسور پیتر بابروسکی رئیس کنسرسیوم بین المللی زمین لغزش است. او دانشمند ارشد سازمان زمین شناسی کانادا، اتاوا، کانادا است. پروفسور کائورو تاکارا مدیر اجرایی کنسرسیوم بین المللی زمین لغزش است. او استاد و رئیس دانشکده تحصیلات تکمیلی مطالعات یکپارچه پیشرفته (GSAIS) در بقای انسان (شیشو-کان)، دانشگاه کیوتو است.
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. Snježana Mihalić Arbanas is a Full Professor of the Faculty of Mining, Geology and Petroleum Engineering of the University 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.
Organizational Structure of the Fifth World Landslide Forum Organizers Co-sponsors Supporting Organizations with Finance Organizing Committee Foreword by Mami Mizutori Foreword by the Assistant Director-General for the Natural Sciences Sector of UNESCO for the Book of the 5th World Landslide Forum Preface I Understanding and Reducing Landslide Disaster Risk Book Series: ICL Contribution to Landslide Disaster Risk The Letter of Intent 2005 and the First General Assembly 2005 The 2006 Tokyo Action Plan and the First World Landslide Forum 2008 The Second World Landslide Forum 2011 and the Third World Landslide Forum 2014 The Sendai Landslide Partnerships 2015 and the Fourth World Landslide Forum 2017 The Fifth World Landslide Forum 2020 and the Kyoto Landslide Commitment 2020 Call for Partners of KLC2020 Eligible Organizations to be Partners of the KLC2020 Appendix: World Landslide Forum Books Preface II Volume 2 From Mapping to Hazard and Risk Zonation Contents 1 Introduction to the Volume ‘From Mapping to Hazard and Risk Zonation’ Abstract Acknowledgements Keynotes 2 Landslide Recognition and Mapping for Slope Disaster Risk Reduction and Management–Keynote Speech Abstract Introduction Landslide Recognition Simple Recap of Mapping Descriptions of Landslides, Body Material Characteristics, Movements, and Topography Landslide Recognition by Mapping Actual Mapping Landslide Topographic Area Mapping Evaluating Landslide Reactivation Potential Landslide Risk for Areas with Artificial Land Reclamation Areas Mapping Landslide Potential New Approach for Landslide Susceptibility Mapping Advanced Information Mapping for Landslide Countermeasures and Management Landslide Mapping Through World Digital 3D Mapping (AW3D) and Google Earth Landslide Topography Identification by Airborne Laser Measurement Data Combining Landslide Recognition and Mapping for Future Disaster Prevention and Mitigation Projects Repeated UAV and SfM Data Collection for Landslide Dislocation Monitoring Visualization and Mapping of the Massive Landslide Using 5 m DEM After Visualization: Time of Treating the Data of Scales Free Micro feature Mapping Using Laser Data and 3D Model Validation Integrated Consideration by Innovation and Breakthrough to Common Recognition for Stake Holders from 3D Mapping Conclusion Acknowledgements References 3 Landslide Susceptibility Mapping by Interpretation of Aerial Photographs, AHP and Precise DEM Abstract Introduction Understanding Geomorphological Processes from Landform Aerial Photograph Interpretation Focused on Landslide Example of Landslide Interpretation by Aerial Photo on Different Scale of Topographic Map Mapping Scale, Method and Targets of LSM Work Middle Scale Landslide Susceptibility Mapping Combined with Aerial Photo Interpretation and AHP What is Analytical Hierarchical Process (AHP)? Topographic Features as Attributing Factors Sharpness and Clearness of Micro-topography Formed by Landslide Fragmentation of a Primary Block into Sub-blocks Profile of Landslide Mass and Toe Part Erodibility of Toe Part of Landslide Mass Water Collectability from Upper Slope of Landslide Crown Land Cover, Artificial Change and Habitation on Landslide Mass Weighting System for Susceptibility Assessment of Landslide Hierarchical Level II of Landslide Susceptibility Hierarchical Level III Weighting System Improved Weighting System for Hilly Area in Tegucigarpa Landslide Susceptibility Mapping of Large Scale Combining Ground Truth and Aerial Photo Interpretation Based on AHP Susceptibility Mapping Using Precise DEM Concluding Remarks Acknowledgements References Landslide Recognition and Mapping 4 New Landslide Inventory Map of the Sudetes Mountains (South-Western Poland) Abstract Introduction Landslide Maps in the Polish Part of the Sudetes Study Area Geographical Settings Geological Settings Material and Methods Results Comparison with Archival Landslide Maps Landslides in Mining Areas Updated Landslide Inventory Map Geological Factors of Landslides Occurrence Discussion Conclusions References 5 Gullies as Landforms for Landslide Initiation—Examples from the Dubračina River Basin (Croatia) Abstract Introduction Study Area Materials and Methods Results Discussion and Conclusions Acknowledgements References 6 Object-Oriented Automatic Landslide Detection from High Resolution Digital Elevation Model—Opportunities and Challenges Based on a Case Study in the Polish Carpathians Abstract Introduction Study Area Data Used Methodology Results and Discussion Conclusions Acknowledgements References 7 Can Repeat LiDAR Surveys Locate Future Massive Landslides? Abstract Introduction Study Area Methods Results and Discussion Conclusion Acknowledgements References 8 Semi-automatic Landslide Inventory Mapping with Multiresolution Segmentation Process: A Case Study from Ulus District (Bartin, NW Turkey) Abstract Introduction Study Area Methodology Image Segmentation Process ANN Analyses Results and Discussion Acknowledgements References 9 Landslide Mapping Based on UAV Photogrammetry Using SfM—The Prnjavor Čuntićki Landslide Case Study, Croatia Abstract Introduction Study Area Materials and Methods UAV Photogrammetric Mapping SfM Photogrammetry Field Mapping Results Point Cloud Landslide Models Discussion and Conclusion Acknowledgements References 10 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 Abstract Introduction Research Methodology Characteristics of Research Area Research Results Discussions Conclusions References 11 Landslide Activity Classification Based on Sentinel-1 Satellite Radar Interferometry Data Abstract Introduction Study Area Methods Results Conclusions Acknowledgements References 12 Updating Landslide Activity State and Intensity by Means of Persistent Scatterer Interferometry Abstract Introduction Study Area and Data Used Study Area Data Used Methodology PSI Processing Post-processing Landslide Activity State Updating Landslide Intensity State Updating Results Field Investigation Conclusions Acknowledgements References 13 Damming Predisposition of River Networks: A Mapping Methodology Abstract Introduction Study Area and Materials Method Results and Discussions Conclusions References 14 Landslides Along Halong-Vandon Expressway in Quang Ninh Province, Vietnam Abstract Introduction Study Methods Regional and Geological Settings Results and Discussions Characteristics and Causes of Landslides Physical Mechanism of the Selected Landslide Case at Km 27 + 950 by Ring Shear Test Rainfall Analysis Conclusions References Landslide Hazard Assessment and Zonation—Susceptibility Modelling 15 New Data on Geological Conditions of Landslide Activity on Vorobyovy Gory (Moscow, Russia) Abstract Introduction Geological Setting Area Characteristic Geology Characteristic of Landslide Accumulations Conclusions References 16 Impact of Agricultural Management in Vineyards to Landslides Susceptibility in Italian Apennines Abstract Introduction Materials and Methods Study Area Test-Sites Evaluation of the Soil Properties Evaluation of Root Density and Reinforcement Probabilistic Assessment of Failure Probability Results Soil Properties Root Density and Reinforcement Failure Probability Discussions and Conclusions Acknowledgements References 17 Landslide Susceptibility in Two Secondary Rivers of La Ciénega Watershed, Nevado de Toluca Volcano, Mexico. Abstract Introduction Background Study Area Method Results Conclusion Acknowledgements References 18 An Ordinal Scale Weighting Approach for Susceptibility Mapping Around Tehri Dam, Uttarakhand, India Abstract Introduction Study Area Geological Setting Data Used and Methodology Selection of Parameters for LSZ Map Slope and Relative Relief Structure and Lithology Land Use and Land Cover Drainage Landslide Distribution Methodology Weightage and Rating of the Data Layers Results and Discussions Landslide Susceptibility Zonation Conclusions References 19 Potential Analysis of Deep-Seated Landslides Caused by Typhoon Morakot Using Slope Unit Abstract Introduction Study Area and Mapping of the Deep-Seated Landslides Study Area Mapping of the Deep-Seated Landslides Delineation of Slope Unit Discriminant Analysis for Potential Assessment Causal Factors Discriminant Analysis Results of Potential Analysis of the Deep-Seated Landslide Conclusion Acknowledgements References 20 Landslide Susceptibility Assessment Using Binary Logistic Regression in Northern Philippines Abstract Introduction Data and Methods Generation of Landslide Inventory and Derivation of Factors Implementation of BLR Model Evaluation Results and Discussion Landslide Inventory Multicollinearity Test BLR Model Landslide Susceptibility Model Performance Conclusion Acknowledgements References 21 Landslide Hazard Mapping of Penang Island Malaysia Based on Multilayer Perceptron Approach Abstract Introduction Study Area Data Set Methodology Result and Discussions Conclusions Acknowledgements References 22 Landslide Susceptibility Mapping Based on the Deep Belief Network: A Case Study in Sichuan Province, China Abstract Introduction Description of Landslide Dataset Overview of the Study Area Historical Landslide Dataset Digital Data of Triggering Factors Methodology Deep Belief Network (DBN) Deep Belief Network (DBN) Results Results by DBN Results by LR Results by BPNN Discussions Results Comparison Accuracy Evaluation Using ROC Curves Sensitivity to the Triggering Factors Conclusion Acknowledgements References 23 A Comparative Study of Deep Learning and Conventional Neural Network for Evaluating Landslide Susceptibility Using Landslide Initiation Zones Abstract Introduction Case Study Materials Construction of Coseismic Landslide Inventory Causative Factors Methods Artificial Neural Network Deep Learning Collinearity Analysis Performance Evaluation Results and Discussion Rank Importance of Factors Earthquake-triggered LSM Model Validation Discussion Concluding Remarks Acknowledgements References 24 Landslide Susceptibility Assessment by Ensemble-Based Machine Learning Models Abstract Introduction Study Area Geological and Geomorphological Setting Data and Methods Landslide Inventory Predisposing Factors Modeling Procedures Ensemble Modeling Results and Conclusions Ensemble Forecasting Discussion and Conclusions Acknowledgements References 25 Application of Machine Learning Algorithms and Their Ensemble for Landslide Susceptibility Mapping Abstract Introduction Study Area and Data Preparation Geological Characteristic of the Region Landslide Inventory Map Landslide Conditioning Factors Topography Factors Hydrological Factors Topographic Roughness Index (TRI) Lithology and Land Use/Cover (LULC) Distance to Fault and Distance to Road Methodology Results Discussion Conclusion References 26 Overcoming Data Scarcity Related Issues for Landslide Susceptibility Modeling with Machine Learning Abstract Introduction Data and Methodology Study Areas Input Data Modeling Landslide Inventories Improving a High Uncertainty Landslide Inventory with Slope Units Underrepresentation of Landslide Cases Input Factor Sets—Sometimes More Is More Maximizing Information The Role of Lithological Information—Can Less Be Ok? Conclusions Perspectives Acknowledgements References 27 Practical Accounting for Uncertainties in Data-Driven Landslide Susceptibility Models. Examples from the Lanzhou Case Study Abstract Introduction Study Area Bias-Related Uncertainty in Data-Driven LSA Uncertainty Related to Sampling Error Discussion and Conclusion Acknowledgements References 28 Assessment of Shallow Landslides Susceptibility Using SHALSTAB and SINMAP at Serra Do Mar, Brazil Abstract Introduction Study Area Materials and Methods Landform and Rainfall Database Input Geotechnical Parameters Physically-Based Models Performance Assessment Results and Discussions Shalstab SINMAP Comparative Performance Analysis Conclusion Acknowledgements References 29 Regional Slope Stability Analysis in Landslide Hazard Assessment Context, North Macedonia Example Abstract Introduction Materials and Methods Inputs Deterministic Models Study Area The Polog Region General Characteristics Previous Landslide Assessment of the Polog Region Results Translational Shallow Landslide Model Flow Landslide Model Conclusions Acknowledgements References 30 Applying the Newmark Model in the Assessment of Earthquake Triggered Landslides During the 2017 Ms 7.0 Jiuzhaigou Earthquake, China Abstract Introduction Landslides Triggered by the Ms 7.0 Jiuzhaigou Earthquake Methods and Data Results Discussion Conclusions Acknowledgements References 31 Evaluation of Secondary Landslide Susceptibility for the Rescue Activity Using LiDAR UAV Data Abstract Introduction The Topographical Data (DEMs) and Geological Units The Geological and Geomorphological Setting of the Yabakei Landslide The Results and Discussions The Difference of the Elevations Topographic Features Classification Evaluation of Secondary Landslide Susceptibility for Rescue Activity The Reasons of the Time Lag Landslide Conclusions Acknowledgements References 32 Methodology for Landslides Assessment Causing River Channel Obstructions and the Consequent Water Shortage in Rural Communities Abstract Introduction Methodology Study Case Results and Discussion Conclusions Acknowledgments References Landslide Hazard Assessment and Zonation—Temporal and Size Modelling 33 Landslide Size Distribution Characteristics of Cretaceous and Eocene Flysch Assemblages in the Western Black Sea Region of Turkey Abstract Introduction Characteristics of the Study Area Eocene Flysch Cretaceous Flysch Landslide Size Distributions Discussion and Conclusions References 34 A Statistical Exploratory Analysis of Inventoried Slide-Type Movements for South Tyrol (Italy) Abstract Introduction Study Area and Data South Tyrol Landslide Data and Environmental Factors Methods Data Preparation Exploratory Data Analysis Results and Discussion Conclusion and Outlook Acknowledgements References 35 Assessing Landslide Volume for Landform Hazard Zoning Purposes Abstract Introduction Study Area Method Results Discussion and Conclusion Acknowledgements References 36 Empirical Relationships to Estimate the Probability of Runout Exceedance for Various Landslide Types Abstract Introduction Methodology Landslide Types Considered in This Study Results Dry or Seismically-Triggered Debris Avalanche and Rock Avalanche Rock Avalanche Travelling on Glacier Wet or Rainfall-Triggered Debris Avalanches Wet or Rainfall-Triggered Debris Flows Discussion Limitation of Empirical-Probabilistic Approach Conclusions Acknowledgements References 37 Rapid Sensitivity Analysis for Reducing Uncertainty in Landslide Hazard Assessments Abstract Introduction Study Area Materials and Methods Source Area Characterization Hydraulic and Soil Strength Parameter Compilation Infiltration and Slope Stability Model Initial and Boundary Conditions Slope-Stability Modelling Results Source-Area Characteristics Parameter Ranges Model Results Discussion and Conclusion Acknowledgements References 38 Applying Debris Flow Simulation for Detailed Hazard and Risk Mapping Abstract Introduction Simulation Target and Methods Debris Flow Occurred in 2014 Hiroshima Debris Flow Simulation System Landform Data Settings Other Simulation Settings Simulation Results Conclusions and Future Works Acknowledgements References 39 Debris-Flow Peak Discharge Calculation Model Based on Erosion Zoning Abstract Introduction Debris-Flow Peak Discharge Calculation Model Model Application in Qipan Catchment Study Area Parameter Settings Result and Discussion Peak Discharge Calculation Verification Discussion Conclusions Acknowledgements References 40 Assessment of Rainfall-Induced Landslides in Tomioka City, Gunma Prefecture, Japan (Oct 2019) Based on a Simple Prediction Model Abstract Introduction The Simple Prediction Model Landslides in Tomioka City, Gunma, Japan Numerical Simulation Conclusion Acknowledgements References 41 Rainfall-Induced Lahar Occurrences Shortly After Eruptions and Its Initiation Processes in Japan Abstract Introduction Materials and Methods Occurrence of Frequent Rainfall-Induce Lahars in Japan Time-Series Relationship Among Eruptions, Rainfalls and Lahar Occurrences The Usu 1977 Eruption The Unzen 1990 Eruption The Miyakejima 2000 Eruption Initiation Processes of Rainfall-Induced Lahars Characteristics of Rainfall-Induced Lahars Conclusions References 42 Spatiotemporal Assessment of Geological Hazard Safety Along Railway Engineering Using a Novel Method: A Case Study of the Sichuan-Tibet Railway, China Abstract Introduction Study Area Methodology Results Spatial Assessment of Geological Hazard Safety Natural Environment Effect of Historical Hazard Cases on the Railway Construction Damage to the Original Landform Importance of the Railway Spatial Assessment Using MEEM, GCM, and SVM Temporal Assessment of Geological Hazard Safety Spatiotemporal Assessment of Geological Hazard Safety Discussion Conclusion Acknowledgements References 43 Slope Stability and Landslide Hazard in Volubilis Archaeological Site (Morocco) Abstract Introduction Volubilis Archaeological Site Setting and Geology Field Survey Slope Instability Analysis Walls Inclination Inclination Mapping Soil Characteristics Marls Mineralogy Atterberg Limits Oedometric Tests Conclusion and Perspectives Acknowledgements Acknowledgements References Landslide Data and Information for Disaster Mitigation 44 Slope Hazard and Risk Mapping Project (PBRC)—An Overview of Disaster Risk Reduction Initiative Abstract Introduction Methodology Advanced and Modern Geospatial Technique Field Data Collection Database Development and Preparation Landslide Susceptibility Assessment Hazard and Risk Assessment Geotechnical Risk Assessment Outputs and Applications Derivative Maps and Technical Reports National Geospatial Terrain and Slope Information System (NaTSIS) Discussion Conclusions Acknowledgements References 45 Risk-Informed Land Use Planning for Landslide Disaster Risk Reduction: A Case Study of Cameron Highlands, Pahang, Malaysia Abstract Introduction Study Area Methodology Landslide Inventory Mapping and Causal Factor Analysis Spatio-temporal Land Use Changes and Hazard Zonation Impact of Land Use Changes on Landslide Result and Discussion Landslide Inventory Map Land Use Changes and Hazard Zonation Impact of Land Use Changes on Landslide Occurrence Mainstreaming DRR into Development Planning Conclusion and Recommendation Acknowledgements References 46 Landslides in Steep-Slope Agricultural Landscapes Abstract Background Remote Sensing Techniques Digital Terrain Analysis Modelling Final Remarks Acknowledgements References 47 From Satellite Images to Field Survey: A Complete Scheme of Landslide InSAR Monitoring Abstract Introduction Methodology Satellite Data Processing and Data-Mining Radar-Interpretation Dissemination to Hydrogeological Risk Management Actors Field Survey and Preliminary Risk Assessment Practical Examples Bosmatto Landslide, Valle d’Aosta Region Zeri Landslide, Toscana Region Conclusion and Discussion Acknowledgements References 48 Slope Disaster Risk Reduction Map as a Communication Tool for Community Based DRR in Japan and Vietnam Abstract Background to Making Useful Maps in the Area From the Perspective of Local Residents A Paradigm Shift in Mapping Technology Communication Based DRR Mapping Summary Reference Landslide Vulnerability of People, Communities and the Built Environment 49 People Vulnerability to Landslide: Risky Behaviours and Dangerous Conditions by Gender and Age Abstract Introduction Data on Landslide Fatalities in Italy Gender and Age Times of the Day and Places Circumstances Gender and Age Analysis Discussion Conclusion References 50 Using Mixed-Methods to Understand Community Vulnerability to Debris Flows in Montecito, CA Abstract Introduction Background Vulnerability Assessment The Spatial Component of Vulnerability The Temporal Component of Vulnerability Methods Literature Review Quantitative Survey Design Qualitative Interview Design Data Analysis Study Area: Montecito, CA Results and Discussion The Spatial Component of Vulnerability The Temporal Component of Vulnerability Conclusion References 51 Innovation in Analysis and Forecasting of Vulnerability to Slow-Moving Landslides Abstract Introduction Proposed Approach Results Discussion and Conclusions Acknowledgements References 52 Sentinel-1 PSI Data for the Evaluation of Landslide Geohazard and Impact Abstract Introduction Study Area Geomorphological Setting Input Data Step-by-Step Methodology Results Evaluation of Landslide Intensity Evaluation of Vulnerability and Exposure of the Elements at Risk Evaluation of Potential Worth of Loss Discussion and Conclusions Acknowledgements References 53 On the Use of UAVs for Landslide Exposure of Households: La Gloria Neighbourhood, Teziutlán, Puebla Abstract Introduction Teziutlán, Puebla: General Context Landslide Exposure: Methodology Results Concluding Remarks Acknowledgements References 54 Ordinal Logistic Regression to Automatic Classify Shallow Landslide Risk Level in Sao Paulo City, Brazil Abstract Introduction Background Risk Areas in Brazil Landslide Assessment Methodologies Method Dataset Classifiers Selection and Model Comparison of Models and Cross Validation The Application Result and Discussion Conclusion Acknowledgements References 55 Site-Specific Risk Assessment of Buildings Exposed to Rock Fall in India—a Case Study Abstract Introduction Study Area Methodology Physical Vulnerability (PV) Proximity of the Buildings from the Rock Fall Prone Region Case Study Discussion and Conclusions References 56 Cutting-Edge Technologies Aiming for Better Outcomes of Landslide Disaster Mitigation Marui & Co. Ltd. Nippon Koei Co. Ltd. OSASI Technos, Inc. Godai Corporation Japan Conservation Engineers & Co. Ltd. OYO Corporation Kokusai Kogyo Co. Ltd. Geobrugg AG Ellegi Srl Chuo Kaihatsu Corporation IDS GeoRadar S.R.L METER Group, Inc Asia Air Survey Co. Ltd. Kiso-Jiban Consultants Co. Ltd. Okuyama Boring Co. Ltd. Kawasaki Geological Engineering Co. Ltd. Nissaku Co. Ltd. Appendix_1