06417nam a22006015i 4500 978-3-031-56591-5 DE-He213 20251030112041.0 cr nn 008mamaa 240514s2024 sz | s |||| 0|eng d 9783031565915 978-3-031-56591-5 10.1007/978-3-031-56591-5 doi GB5000-5030 RNR bicssc NAT023000 bisacsh RNR thema Landslide: Susceptibility, Risk Assessment and Sustainability [electronic resource] : Application of Geostatistical and Geospatial Modeling / edited by Gopal Krishna Panda, Rajib Shaw, Subodh Chandra Pal, Uday Chatterjee, Asish Saha. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. XXIV, 712 p. 244 illus., 225 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Advances in Natural and Technological Hazards Research, 2213-6959 ; 52 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. 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. Natural disasters. 57530 Geographic information systems. 61967 Statistics . 65982 Natural Hazards. 70612 Geographical Information System. 66422 Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences. 66911 Panda, Gopal Krishna. editor. edt http://id.loc.gov/vocabulary/relators/edt 76796 Shaw, Rajib. editor. edt http://id.loc.gov/vocabulary/relators/edt 71434 Pal, Subodh Chandra. editor. edt http://id.loc.gov/vocabulary/relators/edt 76797 Chatterjee, Uday. editor. (orcid)0000-0001-9933-8324 https://orcid.org/0000-0001-9933-8324 edt http://id.loc.gov/vocabulary/relators/edt 76798 Saha, Asish. editor. edt http://id.loc.gov/vocabulary/relators/edt 76799 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031565908 Printed edition: 9783031565922 Printed edition: 9783031565939 Advances in Natural and Technological Hazards Research, 2213-6959 ; 52 76800 https://doi.org/10.1007/978-3-031-56591-5 ZDB-2-EES ZDB-2-SXEE 59845 59845