Anmerkung: Intro -- Foreword for the ISDR-ICL Landslide Interactive Teaching Tools -- Preface: Aim and Outline of the ISDR-ICL Landslide Interactive Teaching Tools -- Aim -- Outline -- Call for Contribution to the Interactive Teaching Tools -- Contacts -- Contents -- 1 TXT-tool 0.001-2.1 Landslide Types: Descriptions, Illustrations and Photos -- Abstract -- 1 Introduction -- 2 Basic Landslide Types -- 2.1 Falls -- 2.1.1 Rockfall -- 2.1.2 Topple -- 2.2 Slides -- 2.2.1 Rotational Landslide -- 2.2.2 Translational Landslide -- 2.3 Spreads -- 2.3.1 Lateral Spreads -- 2.4 Flows -- 2.4.1 Debris Flows -- 2.4.2 Lahars (Volcanic Debris Flows) -- 2.4.3 Debris Avalanche -- 2.4.4 Earthflow -- 2.4.5 Creep -- 2.4.6 Flows in Permafrost -- 2.5 Complex -- 3 Conclusion -- References -- Mapping and Site Prediction -- 2 TXT-tool 1.081-2.1: Landslide Mapping Through the Interpretation of Aerial Photographs -- Abstract -- 1 The Significance of Mapping Based on Photo Interpretation -- 2 Why Is Stereo Pair Interpretation Necessary? -- 3 Difficulties with Direct Sensing of Images and Their Solutions -- 4 How Is Stereo Pair Interpretation of Aerial Photos for Determining the Landslide Area? -- 5 What Can Be Learned Through Aerial Photo Interpretation? -- 6 Examples of Landslide Topography and Distribution Maps -- Acknowledgements -- References -- 3 TXT-tool 1.081-2.2: Landslide Mapping Through the Interpretation of Aerial Photographs and Topographic Maps -- Abstract -- 1 Introduction -- 2 Model of Landform Development -- 3 Learning the Characteristic Appearance and Micro-Landforms of Landslides -- 3.1 Interior of the Landslide Body -- 3.2 Head Phenomena -- 3.3 Lateral Sections -- 3.4 Toe -- 4 Transitions in Landslides from Beginning to Termination -- 4.1 Definition of the Internal Micro-topography of Landslide Bodies and Interpretation -- 4.1.1 Pressure Ridges. , 4.1.2 Flow Traces/Flow Mounds or Flow Hills -- 4.1.3 Sub-scarp (Minor Scarp, Scarplet) -- 4.1.4 Detached Scarp/Fissured Depression -- 4.2 How to Make Topographic and Classical Maps Step by Step, and Clarify Landslide Outlines -- 5 Summary -- Acknowledgments -- References -- 4 TXT-tool 1.081-3.1: Landslide Recognition and Mapping Using Aerial Photographs and Google Earth -- Abstract -- 1 Introduction -- 2 Topographic Landslides Characteristics and Landslide Types -- 3 Detecting Landslides Using Topographic Maps and Aerial Photographs -- 3.1 Use of Topographic Maps -- 3.2 Application of Aerial Photographs and Stereoscopy -- 4 Satellite Images from Google Earth to Detect and Mapping Landslides -- 5 Conclusions -- Acknowledgments -- References -- 5 TXT-tool 1.039-1.1: Very-High Resolution Stereo Satellite Images for Landslide Mapping -- Abstract -- 1 Introduction -- 2 Study Area -- 3 Materials and Methods -- 3.1 VHR Stereoscopic Satellite Images -- 3.2 Hardware and Software Visualization System -- 3.3 Visual Interpretation Criteria -- 3.4 Field Surveys -- 3.5 Rainfall Conditions -- 4 Results -- 4.1 Analysis of the Landslide Inventories -- 5 Discussion and Conclusion -- Acknowledgments -- References -- 6 TXT-tool 1.504-1.1: Landslide Inventory Educational Methodology Derived from Experiences in Latin America -- Abstract -- 1 Introduction -- 2 Application of Landslide Inventory Education Methods in Latin America -- 2.1 Hazard Geology Focusing on Landslides in Tegucigalpa -- 2.2 CEPEIGE Course -- 2.3 UNESCO ENHANS Project Training -- 3 Landslide Inventory Methodology Developed from Application Cases -- 3.1 Learning Objectives -- 3.2 Explanation of Procedure -- 3.3 Evaluation of Participants -- 3.4 Participant Profile/Instructor Profile/Organization Profile -- 3.5 Tools and Data Required -- 4 Conclusions and Recommendations -- Acknowledgments -- References. , 7 TXT-tool 1.052-1.1 GIS Using Landslides Inventory Mapping for Volcanoes -- Abstract -- 1 Introduction -- 2 Methodology -- 2.1 Step 1: Selection of Study Area -- 2.2 Step 2: Literature Review and Data Gathering -- 2.3 Step 3: GIS Base Map -- 2.4 Step 4: Selection of Aerial Photographs -- 2.5 Step 5: Field Work -- 2.6 Step 6: Landslide Inventory Map -- 3 Conclusion -- Acknowledgements -- References -- 8 TXT-tool 1.052-1.2: GIS Using Landslides Susceptibility Mapping Model for Volcanoes -- Abstract -- 1 Introduction -- 2 Study Area -- 3 Methodology -- 4 Stage 1: Landslide Inventory Map -- 5 Stage 2: Mapping Landforms -- 6 Stage 3: Landslide Susceptibility -- 7 Conclusions -- 8. Acknowledgements -- References -- 9 TXT-tool 1.386-2.1 Landslide Susceptibility Assessment Method -- Abstract -- 1 Introduction -- 2 Landslide Susceptibility Map Development Method -- 3 Results and Discussion -- 4 Conclusions -- Acknowledgements -- References -- 10 TXT-tool 1.081-6.1 A Comparative Study of the Binary Logistic Regression (BLR) and Artificial Neural Network (ANN) Models for GIS-Based Spatial Predicting Landslides at a Regional Scale -- Abstract -- 1 Introduction -- 2 Case Study and Data -- 2.1 Case Study Area -- 2.2 Landslide Inventory -- 2.3 Landslide Predisposing Factors -- 3 Methods -- 3.1 Binary Logistic Regression (BLR) -- 3.2 Back-Propagation for Feed-Forward Artificial Neural Network (ANN) -- 4 Implementation of Landslide Susceptibility Mapping -- 4.1 Landslide Susceptibility Mapping Using BLR Mode -- 4.2 Landslide Susceptibility Mapping Using ANN Model -- 4.3 The Validation of the Landslide Susceptibility Models -- 5 Conclusion -- Acknowledgements -- References -- 11 TXT-tool 1.386-2.2 Practical Approach to Assessing the Factors Influencing Landslide Susceptibility Modelling-The Case of Slovenia -- Abstract -- 1 Introduction -- 2 Methodology. , 3 Results and Discussion -- 4 Conclusions -- Acknowledgements -- References -- 12 TXT-tool 1.084-3.1: Landslide Susceptibility Mapping at a Regional Scale in Vietnam -- Abstract -- 1 Introduction -- 2 Study Area -- 3 Methodology -- 3.1 Available Data -- 3.2 General Overview of the AHP and WLC Methods -- 3.3 The Workflow of Landslide Susceptibility Mapping for the Study Area -- 4 The Final Landslide Susceptibility Map -- 5 Conclusion -- Acknowledgments -- References -- 13 TXT-tool 1.039-1.2 Bedding Attitude Information Through the Interpretation of Stereoscopic Aerial Photographs and GIS Modeling -- Abstract -- 1 Introduction -- 2 Bedding Trace Mapping -- 3 Bedding Attitude Estimation Algorithm -- 4 Case Study -- 5 Results -- 6 Discussion -- 7 Conclusions -- References -- 14 TXT-tool 1.086-1.1: Distribution of Island-like Permafrost in the Lesser Khingan Mountains of Northeast China Using Landsat7 ETM+ Imagery -- Abstract -- 1 Introduction -- 2 Satellite Data -- 3 Calculation of Land Surface Emissivity -- 4 Land Surface Temperature Map -- 5 Permafrost Distribution Map -- References -- 15 TXT-tool 1.081-7.1: Investigating Landslides in the Field Using Google Earth and PowerPoint: A Case Study of Altos de Loarque in Honduras -- Abstract -- 1 Introduction -- 2 Landslide Location and Methodology -- 3 Results and Applications -- 4 Conclusion -- Acknowledgements -- References -- Examples for mapping with Google Earth -- 16 TXT-tool 1.064-1.1 Field Guide for the Identification and Assessment of Landslide and Erosion Features and Related Hazards Affecting Pipelines -- Abstract -- 1 Introduction -- 1.1 Teaching Tool Structure -- 2 Identifying and Recording Landslide and Erosion Hazards -- 2.1 Some Definitions -- 2.2 Landslide Activity -- 2.3 Identification of Landslide and Erosion Features -- 2.4 Aerial Inspections -- 2.5 Ground Inspections. , 2.6 What to Record -- 3 Landslide Hazard Models and Classification Schemes -- 3.1 Landslides -- 3.2 Erosion -- 3.3 Material Types -- 4 Landslides and Their Impacts -- 4.1 Open Slope Flows -- 4.2 Channelised Flows -- 4.3 Slides -- 4.4 Rock Falls -- 4.5 Other Hazards and Indicators of Potential Hazards -- 4.6 Hazard Assessment -- 4.7 Risk Assessment -- 5 Conclusions -- Acknowledgements -- Appendix 1. Example Relative Hazard Exposure Matrix -- References -- Monitoring and Early Warning -- 17 TXT-tool 2.039-3.1: Satellite Remote Sensing Techniques for Landslides Detection and Mapping -- Abstract -- 1 Introduction -- 2 Remote Sensing Techniques -- 2.1 Optical Very High Resolution (VHR) Data -- 2.2 SAR Data -- 3 Remote Sensing Application for Landslide Detection and Mapping -- 3.1 Description of the Study Area and Landslide Event -- 3.2 Object-Oriented Analysis (OOA) for Mapping of Rapid-Moving Landslides -- 3.3 Detection and Mapping of Slow-Moving Landslides with SAR Data -- 4 Discussion and Conclusion -- 4.1 Satellite Optical -- 4.2 Satellite Radar -- References -- 18 TXT-tool 2.039-3.2: Ground-Based Remote Sensing Techniques for Landslides Mapping, Monitoring and Early Warning -- Abstract -- 1 Introduction -- 2 Theoretical Principles of Techniques -- 2.1 Terrestrial Laser Scanner (TLS) -- 2.2 Ground-Based Interferometric Synthetic Aperture Radar (GB-InSAR) -- 2.3 InfraRed Thermography (IRT) -- 2.4 Robotic Total Station (RTS) -- 2.5 Digital Photogrammetry Workstation (DPW) -- 3 Applications in Case Studies -- 3.1 Western Elba Island Coastline -- 3.2 San Leo Rock Cliff -- 3.3 Santa Trada Landslide -- 4 Discussion and Conclusion -- Acknowledgements -- References -- 19 TXT-tool 2.386-2.1: SAR Interferometry as a Tool for Detection of Landslides in Early Phases -- Abstract -- 1 Introduction -- 2 Methodology -- 2.1 Persistent Scatterer Interferometry. , 2.2 InSAR Campaigns in Slovenia.

Anmerkung: Intro -- Preface -- Contents -- Introduction -- 1 Identification and Mapping of Landslides -- Abstract -- 1.1 Landslide Identification and Type -- 1.2 What Is Landslide Hazard Mapping? -- 1.3 Landslide and GIS -- 1.4 Brief Review of Studies on Landslides Using GIS and Related Technologies -- References -- Data Analysis and Method Development -- 2 Spatial Comparison of Two High-resolution Landslide Inventory Maps Using GIS-A Case Study of the August 1961 and July 2004 Landslides Caused by Heavy Rainfalls in the Izumozaki Area, Niigata Prefecture, Japan -- Abstract -- 2.1 Introduction -- 2.2 Study Area -- 2.3 Details of the August 1961 and July 2004 Heavy Rainfalls in the Study Area -- 2.4 Preparation of GIS Data -- 2.4.1 Preparation of Landslide Inventory Data -- 2.4.2 Preparation of the Data for Structure of Stratum -- 2.4.2.1 Slope Angles of Mountains for Each Geological Structure of Stratum -- 2.5 Results -- 2.5.1 Comparison of the Densities of the August 1961 and July 2004 Landslides -- 2.5.2 Position of the July 2004 Landslides in Relation to the August 1961 Landslides -- 2.5.3 Landslides Along the Roads -- 2.6 Discussion and Conclusion -- References -- 3 Landslide Surface Deformation Detected by Synthetic Aperture Radar (SAR) Interferometry in Shizu Area on the Southern Foot of Mt. Gassan, Japan -- Abstract -- 3.1 Introduction -- 3.2 Study Area -- 3.3 Method -- 3.3.1 SAR Geometry and Data Used in This Study -- 3.3.2 SAR Data Processing -- 3.3.3 Coherence -- 3.3.4 GPS Survey -- 3.4 Result -- 3.4.1 InSAR Image, Coherence, and LoS Distance Change -- 3.4.2 Comparison Between GPS Survey and InSAR Measurements -- 3.5 Discussion -- 3.6 Conclusion -- Acknowledgements -- References -- 4 Modelling a Landslide Probability Through Time as a Basis for the Landslide Hazard Forecast System -- Abstract -- 4.1 Introduction -- 4.2 Brief Overview of Geology. , 4.3 Background and Methodology -- 4.3.1 Climate and Precipitation Regime -- 4.3.1.1 Real-Time Rainfall Data -- 4.3.2 Rainfall Thresholds for Landsliding -- 4.3.3 Landslides Susceptibility Model -- 4.4 Landslide Hazard Forecast Model Development -- 4.5 Preliminary Testing -- 4.6 Conclusions -- References -- 5 Development of a GIS-Based 3D Slope Stability Analysis System for Rainfall-Induced Landslide Hazard Assessment -- Abstract -- 5.1 Introduction -- 5.2 Model Description -- 5.2.1 Mechanism of Rainfall-Induced Landslide -- 5.2.2 Infiltration Model -- 5.2.3 Applicability of GIS -- 5.2.4 Combination of Infiltration Model with 3D Slope Stability Model -- 5.2.5 Search for Potential Slip Surface -- 5.3 System Development -- 5.4 Practical Application -- 5.4.1 Description of the Study Area -- 5.4.2 Data Collection and Preparation -- 5.4.3 Analysis and Evaluation -- 5.5 Concluding Remarks -- References -- Mapping -- 6 Large-Scale Landslide Inventory Mapping in Lesser Himalaya of Nepal Using Geographic Information System -- Abstract -- 6.1 Lesser Himalayan Zone -- 6.2 Large-Scale Landslides in Lesser Himalaya of Nepal -- 6.3 Landslide Inventory -- 6.3.1 Conventional Methods for Preparing Landslide Inventory Maps -- 6.3.1.1 Geomorphological Field Mapping -- 6.3.1.2 Visual Interpretation of Stereoscopic Aerial Photographs -- 6.3.2 New Methods for Preparing Landslide Inventory Maps -- 6.3.2.1 Visual Interpretation -- 6.3.2.2 Automatic or Semi-automatic Delineation of Landslide -- 6.3.3 Others -- 6.4 Use of GIS in Landslide Analysis -- 6.5 Landslide Inventory in Context of Nepal -- 6.5.1 Digital Landslide Inventory Using Epipolar Stereo Pair Operation -- 6.6 Conclusions -- References -- 7 A Joint Regional Slope Mass Movement Susceptibility Map -- Abstract -- 7.1 Introduction -- 7.2 Methodology -- 7.3 Results and Discussion -- 7.3.1 Landslide Susceptibility Map. , 7.3.2 Debris-Flow Susceptibility Map -- 7.3.3 Rock Fall Susceptibility Map -- 7.4 A Joint Slope Mass Movement Susceptibility Model -- 7.5 Conclusions -- References -- 8 Landslide Inventory: Challenge for Landslide Hazard Assessment in Indonesia -- Abstract -- 8.1 Introduction -- 8.2 Landslide Disaster in Indonesia and the Importance of Hazard Study -- 8.3 Definition, Types, and Completeness of Landslide Inventory -- 8.4 Methods for Generating Landslide Inventory and Its Challenge -- 8.4.1 Landslide Inventory Techniques -- 8.4.2 Analysis of Landslide Inventory for Hazard Assessment -- 8.4.3 Probability of Landslide Size -- 8.4.4 Spatial Probability of Landslides -- 8.4.5 Temporal Probability of Landslides -- 8.5 A Proposed Method of Landslide Inventory -- 8.6 Conclusion -- Appendix 1 -- References -- Application and Case Studies -- 9 Landslide Susceptibility Mapping Based on Aerial Photograph Interpretation Inventory for Tegucigalpa, Honduras: An Application of the Matrix Method -- Abstract -- 9.1 Introduction -- 9.2 Study Area -- 9.3 Data -- 9.3.1 JICA-JSPS Aerial Photograph Interpretation Landslide Inventory Map -- 9.3.2 Explanatory Variables -- 9.4 Method -- 9.5 Results -- 9.6 Discussion -- 9.7 Conclusion -- Acknowledgements -- References -- 10 An Assessment of the Effective Geofactors of Landslide Susceptibility: Case Study Cibeber, Cianjur, Indonesia -- Abstract -- 10.1 Introduction -- 10.2 Landslide Inventory and Geofactor Data -- 10.3 Methodology -- 10.4 Results -- 10.5 Conclusions and Suggestions -- References -- 11 GIS Approach to Landslide Hazard Mapping: A Case Study of Syangja District in Western Nepal -- Abstract -- 11.1 Introduction -- 11.1.1 Definition and Classification of Landslide and Hazard in Nepal -- 11.1.2 Major Factors Causing Landslides in Nepal Himalaya -- 11.1.2.1 Geology -- 11.1.2.2 Rock Structure -- 11.1.2.3 Weathering. , 11.1.2.4 Soil Type -- 11.1.2.5 Groundwater -- 11.1.2.6 Precipitation -- 11.1.2.7 Change in Natural Slope -- 11.2 Landslide Hazard Mapping in Nepal -- 11.3 Application of GIS in Landslide Hazard Mapping of Syangja District, Western Nepal -- 11.4 Validation of the Hazard Map -- 11.5 Conclusions -- References -- 12 GIS Application in Landslide Susceptibility Mapping of Indian Himalayas -- Abstract -- 12.1 Introduction -- 12.2 Landslide Mapping on Satellite Image -- 12.3 Thematic Data Layers in GIS -- 12.3.1 Digital Elevation Model and Its Derivatives -- 12.3.2 Lithology -- 12.3.3 Lineament -- 12.3.4 Drainage -- 12.3.5 Land Use -- 12.4 Landslide Susceptibility Mapping in GIS Environment -- 12.4.1 Methodology -- 12.5 Conclusion -- Acknowledgements -- References -- 13 Characteristics of the Torrential Rainfall-Induced Shallow Landslides by Typhoon Bilis, in July 2006, Using Remote Sensing and GIS -- Abstract -- 13.1 Introduction -- 13.2 Geographical Setting of the Study Area -- 13.3 Data Collection -- 13.4 Analysis of the Rainstorm Caused  by the Typhoon Bilis -- 13.5 Statistical Analysis of the Landslides and Geographical Factors -- 13.6 Conclusions -- Acknowledgements -- References.