LEADER 05918nam 22006255 450 001 9910861097003321 005 20250807153040.0 010 $a3-031-56591-6 024 7 $a10.1007/978-3-031-56591-5 035 $a(MiAaPQ)EBC31342542 035 $a(Au-PeEL)EBL31342542 035 $a(CKB)32029757200041 035 $a(DE-He213)978-3-031-56591-5 035 $a(EXLCZ)9932029757200041 100 $a20240514d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aLandslide: Susceptibility, Risk Assessment and Sustainability $eApplication of Geostatistical and Geospatial Modeling /$fedited by Gopal Krishna Panda, Rajib Shaw, Subodh Chandra Pal, Uday Chatterjee, Asish Saha 205 $a1st ed. 2024. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024. 215 $a1 online resource (722 pages) 225 1 $aAdvances in Natural and Technological Hazards Research,$x2213-6959 ;$v52 311 08$a3-031-56590-8 327 $aChapter 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. 330 $aThe book illustrates a geospatial and geostatistical approach to data analysis, modeling, risk assessment, and visualization, as well as landslide hazard management in the hilly region. This book investigates cutting-edge methodologies based on open source software and R statistical programming and modeling in current decision-making procedures, with a particular emphasis on recent advances in data mining techniques and robust modeling in torrential rainfall and earthquake induced landslide hazard. 410 0$aAdvances in Natural and Technological Hazards Research,$x2213-6959 ;$v52 606 $aNatural disasters 606 $aGeographic information systems 606 $aStatistics 606 $aNatural Hazards 606 $aGeographical Information System 606 $aStatistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences 615 0$aNatural disasters. 615 0$aGeographic information systems. 615 0$aStatistics. 615 14$aNatural Hazards. 615 24$aGeographical Information System. 615 24$aStatistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences. 676 $a551 676 $a363.34 700 $aPanda$b Gopal Krishna$01739449 701 $aShaw$b Rajib$01474599 701 $aPal$b Subodh Chandra$01265890 701 $aChatterjee$b Uday$01588192 701 $aSaha$b Asish$01739450 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910861097003321 996 $aLandslide: Susceptibility, Risk Assessment and Sustainability$94430903 997 $aUNINA