Abstract
Landslides are man-induced or natural triggering natural hazards with large-scale environmental and socioeconomic impact. From the last decade, landslide susceptibility zonation, using quantitative and qualitative techniques, is an interesting area of interest among scholars. The purpose of the present study was to analyze and review the trend of the published articles, methodologies adopted, and the area of study of the published articles during 2000 to 2020. The result of the review revealed that among the various methodologies adopted, machine learning and logistic regression were the maximum implemented, and south and southeast Asian countries are the most landslide-prone areas. The development of remote sensing and GIS has played a significant role in data gathering, analysis, visualization, and identification of landslide susceptible zones for proper monitoring. Knowledge-based study like the geographically weighted overlay method is much applicable in the northeastern states of India. Researchers emphasize on slope angle, topographic wetness index, and land use/land cover as important conditioning factors in landslide occurrence. The study would be helpful for the researchers to choose study areas, methodologies, and preferable journals for publishing their research.
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Barman, J., Soren, D.D.L., Biswas, B. (2023). Landslide Susceptibility Evaluation and Analysis: A Review on Articles Published During 2000 to 2020. In: Das, J., Bhattacharya, S.K. (eds) Monitoring and Managing Multi-hazards. GIScience and Geo-environmental Modelling. Springer, Cham. https://doi.org/10.1007/978-3-031-15377-8_14
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DOI: https://doi.org/10.1007/978-3-031-15377-8_14
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