Landslide Science: Geospatial Advances in Monitoring, Modeling, and Management
Editat de Christos Polykretis, Kleomenis Kalogeropoulos, Maria Ferentinou, Andreas Tsatsarisen Limba Engleză Paperback – noi 2026
- Examines the latest advancements in remote sensing, GIS, and spatial analysis techniques to provide readers practical insights into how geospatial tools can be effectively utilized for landslide monitoring, modeling, and management
- Comprehensive case studies from diverse geographical regions and contexts provide valuable real-world examples of landslide assessment, management strategies, and innovative solutions.
- Integrates interdisciplinary perspectives from experts across various fields, including geoinformatics, geography, geology, engineering, environmental science, and disaster management.
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Specificații
ISBN-13: 9780443383557
ISBN-10: 0443383553
Pagini: 400
Dimensiuni: 152 x 229 mm
Greutate: 0.45 kg
Editura: ELSEVIER SCIENCE
ISBN-10: 0443383553
Pagini: 400
Dimensiuni: 152 x 229 mm
Greutate: 0.45 kg
Editura: ELSEVIER SCIENCE
Cuprins
Section 1. Understanding the Nature of Landslides
1. Fundamentals of Landslide Processes (Characteristics of Landslides - Types and Classification of Landslides - Historical Perspectives and Current Trends of Occurrence)
2. Factors Triggering or Influencing Landslides (Rainfall-induced Landslides - Earthquake-triggered Landslides - Influences of Topographical, Land Use, Proximity, etc. Conditioning Factors)
Section 2. Remote Sensing in Landslide Investigation
3. Landslide Detection/Recognition Techniques (Spaceborne Sensors e.g. Optical Passive or SAR Satellite Images - Airborne Sensors e.g. Aerial Images or UAVs)
4. Landslide Monitoring Techniques (Spaceborne Sensors e.g. Optical Passive or SAR Satellite Images - Airborne Sensors e.g. Aerial Images or UAVs - Ground-based Sensors e.g. Geophysical Surveys or On-situ Instrumental Measurements)
5. Imagery Data Processing Methods (Conventional Methods - Artificial Intelligence-based Methods - Fusion-based Methods)
Section 3. Spatial Landslide Assessment and Mapping
6. Landslide Inventory Mapping (GIS Applications - Field Techniques for Landslide Inventory Analysis)
7. Landslide Susceptibility Assessment (Qualitative/Heuristic Approaches - Statistical and Machine Learning Approaches - Integrated/Hybrid Approaches - Uncertainty Assessment and Validation)
8. Landslide Hazard Assessment (Qualitative/Heuristic Approaches - Statistical and Machine Learning Approaches - Integrated/Hybrid Approaches - Uncertainty Assessment and Validation)
Section 4. Engineering-based Landslide Analysis
9. Geotechnical Aspects of Landslides (Soil and Rock Mechanics - Physical Properties)
10. Hydrogeological Influences on Landslide Occurrence (Hydrogeological Properties - Hydrogeological Processes)
11. Methodologies and Simulations (Slope Stability Analysis - Physical Models - Geophysical Methods)
Section 5. Landslide Impacts and Risk Management Strategies
12. Landslide Vulnerability Assessment (Structural Vulnerability Analysis - Socio-economic Vulnerability Analysis)
13. Landslide Risk Analysis (Assessment of Specific Risk - Assessment of Total Risk)
14. Environmental Consequences of Landslides (Erosion and Sediment Transport - Ecological Restoration and Rehabilitation)
15. Landslide Prevention and Mitigation Strategies (Structural and Non-Structural Measures - Nature-based Solutions - Community Engagement and Public Awareness)
Section 6. Advancing Science and Future Directions
16. Future Trends of Landslide Occurrence and/or its Influencing/Triggering Factors (Future Projections of Factors and their Potential Impacts on Landslide Risk)
17. Early Warning Systems (National - Regional - Local Scale)
18. Technological Innovations in Landslide Research (Advances in Remote Sensing and GIS techniques - Big Data Analytics)
19. Still Challenging Issues in Landslide Science
Conclusions
1. Fundamentals of Landslide Processes (Characteristics of Landslides - Types and Classification of Landslides - Historical Perspectives and Current Trends of Occurrence)
2. Factors Triggering or Influencing Landslides (Rainfall-induced Landslides - Earthquake-triggered Landslides - Influences of Topographical, Land Use, Proximity, etc. Conditioning Factors)
Section 2. Remote Sensing in Landslide Investigation
3. Landslide Detection/Recognition Techniques (Spaceborne Sensors e.g. Optical Passive or SAR Satellite Images - Airborne Sensors e.g. Aerial Images or UAVs)
4. Landslide Monitoring Techniques (Spaceborne Sensors e.g. Optical Passive or SAR Satellite Images - Airborne Sensors e.g. Aerial Images or UAVs - Ground-based Sensors e.g. Geophysical Surveys or On-situ Instrumental Measurements)
5. Imagery Data Processing Methods (Conventional Methods - Artificial Intelligence-based Methods - Fusion-based Methods)
Section 3. Spatial Landslide Assessment and Mapping
6. Landslide Inventory Mapping (GIS Applications - Field Techniques for Landslide Inventory Analysis)
7. Landslide Susceptibility Assessment (Qualitative/Heuristic Approaches - Statistical and Machine Learning Approaches - Integrated/Hybrid Approaches - Uncertainty Assessment and Validation)
8. Landslide Hazard Assessment (Qualitative/Heuristic Approaches - Statistical and Machine Learning Approaches - Integrated/Hybrid Approaches - Uncertainty Assessment and Validation)
Section 4. Engineering-based Landslide Analysis
9. Geotechnical Aspects of Landslides (Soil and Rock Mechanics - Physical Properties)
10. Hydrogeological Influences on Landslide Occurrence (Hydrogeological Properties - Hydrogeological Processes)
11. Methodologies and Simulations (Slope Stability Analysis - Physical Models - Geophysical Methods)
Section 5. Landslide Impacts and Risk Management Strategies
12. Landslide Vulnerability Assessment (Structural Vulnerability Analysis - Socio-economic Vulnerability Analysis)
13. Landslide Risk Analysis (Assessment of Specific Risk - Assessment of Total Risk)
14. Environmental Consequences of Landslides (Erosion and Sediment Transport - Ecological Restoration and Rehabilitation)
15. Landslide Prevention and Mitigation Strategies (Structural and Non-Structural Measures - Nature-based Solutions - Community Engagement and Public Awareness)
Section 6. Advancing Science and Future Directions
16. Future Trends of Landslide Occurrence and/or its Influencing/Triggering Factors (Future Projections of Factors and their Potential Impacts on Landslide Risk)
17. Early Warning Systems (National - Regional - Local Scale)
18. Technological Innovations in Landslide Research (Advances in Remote Sensing and GIS techniques - Big Data Analytics)
19. Still Challenging Issues in Landslide Science
Conclusions