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This book provides a comprehensive review of landslide susceptibility assessment, a crucial process for disaster preparedness and land-use planning. It distinguishes between landslide susceptibility (the spatial likelihood of occurrence), hazard (which adds a temporal dimension and intensity), and risk (the quantification of potential losses to people and property). The book details how the field has evolved from simple heuristic mapping to advanced data-driven models, incorporating GIS, remote sensing, and machine learning techniques. It discusses both natural factors (geology, geomorphology,…mehr

Produktbeschreibung
This book provides a comprehensive review of landslide susceptibility assessment, a crucial process for disaster preparedness and land-use planning. It distinguishes between landslide susceptibility (the spatial likelihood of occurrence), hazard (which adds a temporal dimension and intensity), and risk (the quantification of potential losses to people and property). The book details how the field has evolved from simple heuristic mapping to advanced data-driven models, incorporating GIS, remote sensing, and machine learning techniques. It discusses both natural factors (geology, geomorphology, hydrology, and seismic activity) and human-induced factors (like deforestation and improper construction) that contribute to landslides. Case studies, such as the Vaiont Dam disaster, highlight how human error can amplify a natural hazard into a catastrophe. The book emphasizes the need for an integrated, multi-disciplinary approach to build resilient communities.
Autorenporträt
Dr. Saurabh Kumar Anuragi, an expert in geotechnical engineering, specializes in landslide susceptibility mapping. Holding an M.Tech and Ph.D. from MANIT, Bhopal, he integrates GIS, remote sensing, and machine learning to develop advanced models for landslide risk assessment and prediction.