Management of Landslides in a Rural–Urban Transition Zone Using Machine Learning Algorithms—A Case Study of a National Highway (NH-44), India, in the Rugged Himalayan Terrains

Management of Landslides in a Rural–Urban Transition Zone Using Machine Learning Algorithms—A Case Study of a National Highway (NH-44), India, in the Rugged Himalayan Terrains

Landslides are critical natural disasters characterized by a downward movement of land masses. As one of the deadliest types of disasters worldwide, they have a high death toll every year and cause a large amount of economic damage. The transition between urban and rural areas is characterized by hi...

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Bibliographic Details
Main Authors: Mohsin Fayaz, Gowhar Meraj, Sheik Abdul Khader, Majid Farooq, Shruti Kanga, Suraj Kumar Singh, Pankaj Kumar, Netrananda Sahu
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Land
Subjects:
hazards
early warning system
LST
urban–rural fringes
machine learning
ANFIS
Online Access:https://www.mdpi.com/2073-445X/11/6/884

Internet

https://www.mdpi.com/2073-445X/11/6/884

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