Modelling High-Dimensional Time Series with Nonlinear and Nonstationary Phenomena for Landslide Early Warning and Forecasting
Author:
Affiliation:
1. School of Mathematics and Statistics, University of Melbourne, Melbourne, Victoria 3010, Australia
Publisher
MDPI
Link
https://www.mdpi.com/2673-4591/39/1/21/pdf
Reference38 articles.
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2. Zhao, C., and Lu, Z. (2018). Remote Sensing of Landslides—A Review. Remote Sens., 10.
3. Chuvieco, E. (2016). Fundamentals of Satellite Remote Sensing: An Environmental Approach, CRC Press.
4. Riley, K., Webley, P., and Thompson, M. (2016). Natural Hazard Uncertainty Assessment: Modeling and Decision Support, John Wiley & Sons.
5. Development of an Early-warning Time-of-failure Analysis Methodology for Open-pit Mine Slopes Utilizing Ground-based Slope Stability Radar Monitoring Data;Dick;Can. Geotech. J.,2015
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1. Displacement residuals reveal landslide regime shifts;Landslides;2024-08-27
2. Methods of Cluster Analysis for Detection of Uniform Displacement Zones of Landslides and Anti-Landslide Structures;Journal of Basic & Applied Sciences;2023-08-24
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