Landslides: Unfolding Slope Disasters in Hilly Terrains

Author:

Parkash Surya1

Affiliation:

1. GMRD, CBRN, Industrial and Cyber DRR Division, National Institute of Disaster Management, Ministry of Home Affairs, Government of India 1 , Delhi – 110 001, India

Publisher

Geological Society of India

Reference19 articles.

1. Assessment of landslide susceptibility for Meghalaya (India) using bivariate (frequency ratio and Shannon entropy) and multi-criteria decision analysis (AHP and fuzzy-AHP) models;Agrawal;All Earth,2022

2. Landslide susceptibility assessment in the Himalayan range based along Kasauli–Parwanoo road corridor using weight of evidence, information value, and frequency ratio;Alsabhan;Jour. King Saud Univ.-Sci.,2022

3. Landslide susceptibility mapping using XGBoost machine learning method;Badola;2023 International Conference on Machine Intelligence for GeoAnalytics and Remote Sensing (MIGARS),2023

4. Rule-based fuzzy inference system for landslide susceptibility mapping along national highway 7 in Garhwal Himalayas, India;Badola;Quaternary Sci. Advan.,2023

5. Early warning of rainfall-induced shallow landslides and debris flows in the USA;Baum;Landslides,2010

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