Predictive Models for the Development of Landslide Early Warning Systems details advanced techniques in implementing landslide early warning systems (LEWS). The book provides a comprehensive resource for practitioners by including different techniques and models in landslide early warning, their practical applications, and case studies. The modeling theory is provided in a detailed but succinct format, verified with onsite models for specific regions and scenarios for different types of landslides and triggering factors. The book covers four main topics, including monitoring, data acquisition, transmission and maintenance of the instruments; analysis and forecasting, forecasting methods, and warning/dissemination of understandable messages alerting. The exportability of different models is discussed in detail and followed by practical demonstrations for expert researchers' as well as postgraduates' needs. The book offers in-depth, up-to-date best practices for implementing LEWS based on current effective systems, new technologies, and standard methodologies at global level. Presents advanced computational techniques in developing and implementing landslide early warning systems Details landslide early warning systems for various types of landslides and at different regional scales, allowing readers to quickly correlate the theory and practical applications covered into real-world solutions Provides case studies of different landslide types and at different levels, from local to national scale Includes thorough details on the application of different Internet of Things' based instruments for slope monitoring at different scales