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[null,"1.","Record Nr.",null,"UNINA9910861097003321"]
[null,null,"Autore",null,"Panda Gopal Krishna"]
[null,null,"Titolo",null,"Landslide: Susceptibility, Risk Assessment and Sustainability : Application of Geostatistical and Geospatial Modeling / / edited by Gopal Krishna Panda, Rajib Shaw, Subodh Chandra Pal, Uday Chatterjee, Asish Saha"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024"]
[null,null,"ISBN",null,"3-031-56591-6"]
[null,null,"Edizione",null,"[1st ed. 2024.]"]
[null,null,"Descrizione fisica",null,"1 online resource (722 pages)"]
[null,null,"Collana",null,"Advances in Natural and Technological Hazards Research, , 2213-6959 ; ; 52"]
[null,null,"Disciplina",null,"551"]
[{"$nulls":4},"363.34"]
[null,null,"Soggetti",null,"Natural disasters"]
[{"$nulls":4},"Geographic information systems"]
[{"$nulls":4},"Statistics"]
[{"$nulls":4},"Natural Hazards"]
[{"$nulls":4},"Geographical Information System"]
[{"$nulls":4},"Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"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 "]
[{"$nulls":4},"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."]
[null,null,null,"Sommario/riassunto","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 modeling in current decision-making procedures, with a particular emphasis on recent advances in data mining techniques and robust modeling in torrential rainfall and earthquake induced landslide hazard."]