Author:
Pandey Vijendra Kumar,Sharma Kaushal Kumar,Pourghasemi Hamid Reza,Bandooni Suresh Kumar
Funder
Department of Science and Technology
Cited by
47 articles.
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1. Landslide susceptibility zonation using integrated supervised and unsupervised machine learning techniques in the Bhagirathi Eco-Sensitive Zone (BESZ), Uttarakhand, Himalaya, India;Journal of Earth System Science;2024-07-06
2. Modeling landslide susceptibility using alternating decision tree and support vector;Terrestrial, Atmospheric and Oceanic Sciences;2024-06-27
3. A holistic approach of remote sensing, GIS, and machine learning for shallow landslide susceptibility mapping in Gaganbawada region of Western Ghats, India;Proceedings of the Indian National Science Academy;2024-05-03
4. Advancements in mapping landslide susceptibility in Bafoussam and its surroundings area using multi-criteria decision analysis, statistical methods, and machine learning models;Journal of African Earth Sciences;2024-05
5. Comparative Analysis of Machine Learning, Statistical, and MCDA Methods for Rainfall-Induced Landslide Susceptibility Mapping in the Eco-Sensitive Koyna River Basin of India;Indian Geotechnical Journal;2024-04-25