Landslide Science by Polykretis, Christos; Kalogeropoulos, Kleomenis; Ferentinou, Maria; Tsatsaris, Andreas;

Geospatial Advances in Monitoring, Modeling, and Management

10% KEDVEZMÉNY?
A kedvezmény csak az 'Értesítés a kedvenc témákról' hírlevelünk címzettjeinek rendeléseire érvényes.

Kiadói listaár EUR 139.99
Az ár azért becsült, mert a rendelés pillanatában nem lehet pontosan tudni, hogy a beérkezéskor milyen lesz a forint árfolyama az adott termék eredeti devizájához képest. Ha a forint romlana, kissé többet, ha javulna, kissé kevesebbet kell majd fizetnie.

54 680 Ft (52 076 Ft + 5% áfa)
Kedvezmény(ek) 10% (kb. 5 468 Ft)
Kedvezményes ár 49 212 Ft (46 868 Ft + 5% áfa)

54 680 Ft

Beszerezhetőség

Még nem jelent meg, de rendelhető. A megjelenéstől számított néhány héten belül megérkezik.

A termék adatai:

Kiadó Elsevier Science
Megjelenés dátuma 2026. november 1.

ISBN 9780443383557
Kötéstípus Puhakötés
Terjedelem400 oldal
Méret 229x152 mm
Súly 450 g
Nyelv angol

Kategóriák

Operációs rendszerek és grafikus felhasználói felületek Irodai szoftverek, táblázatkezelők Környezetmérnöki tudományok Földtudományok általában Környezetvédelem Környezettudomány általában

Hosszú leírás:

Landslide Science: Geospatial Advances in Monitoring, Modeling, and Management presents a detailed exploration of the latest advancements in landslide research, offering a thorough examination of the latest geospatial technologies and methodologies. The book begins with a comprehensive exploration of landslides, starting with an understanding of their nature, including characteristics, types, and historical perspectives. Factors triggering or influencing landslides are examined, such as rainfall, earthquakes, and topographical influences. Remote sensing techniques for landslide investigation are detailed, covering detection, monitoring, and imagery data processing methods using various sensors and technologies. Spatial landslide assessment and mapping are discussed, including inventory mapping, susceptibility assessment, and hazard assessment utilizing different approaches and uncertainty validation methods. Engineering-based landslide analysis focuses on geotechnical aspects, hydrogeological influences, and methodologies for simulations and slope stability analysis. The book also addresses landslide impacts and risk management strategies, covering vulnerability assessment, risk analysis, environmental consequences, prevention, mitigation strategies, and community engagement. Advancing science and future directions in landslide research are explored, including trends in landslide occurrence, early warning systems, technological innovations, and remaining challenging issues in landslide science. This comprehensive guide offers valuable insights and strategies for understanding, assessing, and managing landslides for a more resilient future.

Több

Tartalomjegyzék:

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