Landslide: Susceptibility, Risk Assessment and Sustainability Application of Geostatistical and Geospatial Modeling /

The book illustrates a geospatial and geostatistical approach to data analysis, modeling, risk assessment, and visualization, as well as landslide hazard management in the hilly region. This book investigates cutting-edge methodologies based on open source software and R statistical programming and...

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Соавтор: SpringerLink (Online service)
Другие авторы: Panda, Gopal Krishna (Редактор), Shaw, Rajib (Редактор), Pal, Subodh Chandra (Редактор), Chatterjee, Uday (Редактор), Saha, Asish (Редактор)
Формат: Электронный ресурс eКнига
Язык:английский
Опубликовано: Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Редактирование:1st ed. 2024.
Серии:Advances in Natural and Technological Hazards Research, 52
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Online-ссылка:https://doi.org/10.1007/978-3-031-56591-5
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Оглавление:
  • Chapter 1. Landslide Risk and Vulnerability; Real issues, Thoughts and Perspectives
  • Chapter 2. Landslide Susceptibility Mapping by Using Geospatial Technique: Reference from Hofu City, Yamaguchi Prefecture, Japan
  • Chapter 3. Landslide hazard risk and vulnerability monitoring – GIS based Approach
  • Chapter 4. Landslide Susceptibility Mapping Methods – A Review
  • Chapter 5. Mapping of Landslide Susceptibility using state-of-the-art method and Geospatial Techniques in the Rangamati District in the Chattogram Hill Tracts region of Bangladesh
  • Chapter 6. Towards Artificially Intelligent Landslide Susceptibility Mapping: A Critical Review and Open Questions
  • Chapter 7.Landslide Susceptibility Analysis by Frequency Ratio Model and Analytical Hierarchical Process in Mirik and Kurseong, Darjeeling Himalaya, India
  • Chapter 8.Suitability analysis of landslide susceptibility model of Uttarkashi District in Uttarakhand, India: a comparative approach between weighted overlay and multi-criteria decision analysis
  • Chapter 9. Determining Land induced factors for landslide susceptibility in Indian cities
  • Chapter 10.Moisture-Driven Landslides and Cascade Hazards in the Himalayan Region: A Synthesis on Predictive Assessment
  • Chapter 11. Landslide susceptibility map showing the spatial relationship between various landslide factors and landslide using remote sensing and GIS-based Frequency Ratio method in Chamoli district, Uttarakhand, India
  • Chapter 12. Landslide susceptibility using weighted regression model: A Geo-spatial approach
  • Chapter 13. Assessment of climate change impact on landslides in Darjeeling district of West Bengal: a geospatial, geostatistical and ecosystem service based approach.-Chapter 14. Landslide vulnerability analysis of tourist spots through Shannon Entropy model : A case study on Rudraprayag, Uttarakhand
  • Chapter 15. Landslide Hazard Susceptibility Analysis and Modelling in the Vicinity of the Proposed Subansiri Lower HE Project, Arunachal Pradesh.-Chapter 16. Land Use and Land Cover as a Conditioning Factor in Landslide Susceptibility: A Literature Review
  • Chapter 17. A Geospatial Review Analysis of Increased Frequency of Large Glacier-Related Landslides in Mountainous Regions
  • Chapter 18. Landslide Detection Using DInSAR Technique: A Case Study
  • Chapter 19. Landslide Hazard Risk Assessment Using GIS and Analytical Hierarchy Process (AHP) Approach: Evidence from 2017 Rangamati Hill Tracts Landslide Event, Bangladesh
  • Chapter 20. Landslide risk assessment, awareness, and risk mitigation: case studies and major insights
  • Chapter 21. Community-based Landslide Disaster Mitigation on The Northern Slope of “Telaga Lele” Hill, Banjarnegara Regency, Indonesia
  • Chapter 22. Evaluation of Double Fusion Satellite Rainfall Dataset in Establish Rainfall Thresholds for Landslide Occurrences over Badung regency - Bali
  • Chapter 23. Landslide Susceptibility and Risk Assessment in Hilly Regions of Bangladesh: A Geostatistical and Geospatial Modeling Approach for Sustainability
  • Chapter 24. Landslide Hazard and Risk Management Framework for Alaknanda Basin in the Indian Himalayan Region.